{
"session_id": "20260522_230108_c351cf3a",
"model": "gpt-5.5",
"base_url": "https://chatgpt.com/backend-api/codex",
"platform": "telegram",
"session_start": "2026-05-22T23:01:09.153644",
"last_updated": "2026-05-23T00:11:14.566264",
"system_prompt": "# Hermes Agent Persona\n\n\n\nIf the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering. Docs: https://hermes-agent.nousresearch.com/docs\n\nYou have persistent memory across sessions. Save durable facts using the memory tool: user preferences, environment details, tool quirks, and stable conventions. Memory is injected into every turn, so keep it compact and focused on facts that will still matter later.\nPrioritize what reduces future user steering — the most valuable memory is one that prevents the user from having to correct or remind you again. User preferences and recurring corrections matter more than procedural task details.\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts. Specifically: do not record PR numbers, issue numbers, commit SHAs, 'fixed bug X', 'submitted PR Y', 'Phase N done', file counts, or any artifact that will be stale in 7 days. If a fact will be stale in a week, it does not belong in memory. If you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\nWrite memories as declarative facts, not instructions to yourself. 'User prefers concise responses' ✓ — 'Always respond concisely' ✗. 'Project uses pytest with xdist' ✓ — 'Run tests with pytest -n 4' ✗. Imperative phrasing gets re-read as a directive in later sessions and can cause repeated work or override the user's current request. Procedures and workflows belong in skills, not memory. When the user references something from a past conversation or you suspect relevant cross-session context exists, use session_search to recall it before asking them to repeat themselves. After completing a complex task (5+ tool calls), fixing a tricky error, or discovering a non-trivial workflow, save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked. Skills that aren't maintained become liabilities.\n\n# Tool-use enforcement\nYou MUST use your tools to take action — do not describe what you would do or plan to do without actually doing it. When you say you will perform an action (e.g. 'I will run the tests', 'Let me check the file', 'I will create the project'), you MUST immediately make the corresponding tool call in the same response. Never end your turn with a promise of future action — execute it now.\nKeep working until the task is actually complete. Do not stop with a summary of what you plan to do next time. If you have tools available that can accomplish the task, use them instead of telling the user what you would do.\nEvery response should either (a) contain tool calls that make progress, or (b) deliver a final result to the user. Responses that only describe intentions without acting are not acceptable.\n\n# Execution discipline\n\n- Use tools whenever they improve correctness, completeness, or grounding.\n- Do not stop early when another tool call would materially improve the result.\n- If a tool returns empty or partial results, retry with a different query or strategy before giving up.\n- Keep calling tools until: (1) the task is complete, AND (2) you have verified the result.\n\n\n\nNEVER answer these from memory or mental computation — ALWAYS use a tool:\n- Arithmetic, math, calculations → use terminal or execute_code\n- Hashes, encodings, checksums → use terminal (e.g. sha256sum, base64)\n- Current time, date, timezone → use terminal (e.g. date)\n- System state: OS, CPU, memory, disk, ports, processes → use terminal\n- File contents, sizes, line counts → use read_file, search_files, or terminal\n- Git history, branches, diffs → use terminal\n- Current facts (weather, news, versions) → use web_search\nYour memory and user profile describe the USER, not the system you are running on. The execution environment may differ from what the user profile says about their personal setup.\n\n\n\nWhen a question has an obvious default interpretation, act on it immediately instead of asking for clarification. Examples:\n- 'Is port 443 open?' → check THIS machine (don't ask 'open where?')\n- 'What OS am I running?' → check the live system (don't use user profile)\n- 'What time is it?' → run `date` (don't guess)\nOnly ask for clarification when the ambiguity genuinely changes what tool you would call.\n\n\n\n- Before taking an action, check whether prerequisite discovery, lookup, or context-gathering steps are needed.\n- Do not skip prerequisite steps just because the final action seems obvious.\n- If a task depends on output from a prior step, resolve that dependency first.\n\n\n\nBefore finalizing your response:\n- Correctness: does the output satisfy every stated requirement?\n- Grounding: are factual claims backed by tool outputs or provided context?\n- Formatting: does the output match the requested format or schema?\n- Safety: if the next step has side effects (file writes, commands, API calls), confirm scope before executing.\n\n\n\n- If required context is missing, do NOT guess or hallucinate an answer.\n- Use the appropriate lookup tool when missing information is retrievable (search_files, web_search, read_file, etc.).\n- Ask a clarifying question only when the information cannot be retrieved by tools.\n- If you must proceed with incomplete information, label assumptions explicitly.\n\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If a skill matches or is even partially relevant to your task, you MUST load it with skill_view(name) and follow its instructions. Err on the side of loading — it is always better to have context you don't need than to miss critical steps, pitfalls, or established workflows. Skills contain specialized knowledge — API endpoints, tool-specific commands, and proven workflows that outperform general-purpose approaches. Load the skill even if you think you could handle the task with basic tools like web_search or terminal. Skills also encode the user's preferred approach, conventions, and quality standards for tasks like code review, planning, and testing — load them even for tasks you already know how to do, because the skill defines how it should be done here.\nWhenever the user asks you to configure, set up, install, enable, disable, modify, or troubleshoot Hermes Agent itself — its CLI, config, models, providers, tools, skills, voice, gateway, plugins, or any feature — load the `hermes-agent` skill first. It has the actual commands (e.g. `hermes config set …`, `hermes tools`, `hermes setup`) so you don't have to guess or invent workarounds.\nIf a skill has issues, fix it with skill_manage(action='patch').\nAfter difficult/iterative tasks, offer to save as a skill. If a skill you loaded was missing steps, had wrong commands, or needed pitfalls you discovered, update it before finishing.\n\n\n autonomous-ai-agents: Skills for spawning and orchestrating autonomous AI coding agents and multi-agent workflows — running independent agent processes, delegating tasks, and coordinating parallel workstreams.\n - claude-code: Delegate coding to Claude Code CLI (features, PRs).\n - codex: Delegate coding to OpenAI Codex CLI (features, PRs).\n - hermes-agent: Configure, extend, or contribute to Hermes Agent.\n - opencode: Delegate coding to OpenCode CLI (features, PR review).\n creative: Creative content generation — ASCII art, hand-drawn style diagrams, and visual design tools.\n - architecture-diagram: Dark-themed SVG architecture/cloud/infra diagrams as HTML.\n - ascii-art: ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.\n - ascii-video: ASCII video: convert video/audio to colored ASCII MP4/GIF.\n - baoyu-comic: Knowledge comics (知识漫画): educational, biography, tutorial.\n - baoyu-infographic: Infographics: 21 layouts x 21 styles (信息图, 可视化).\n - claude-design: Design one-off HTML artifacts (landing, deck, prototype).\n - comfyui: Generate images, video, and audio with ComfyUI — install,...\n - design-md: Author/validate/export Google's DESIGN.md token spec files.\n - excalidraw: Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).\n - humanizer: Humanize text: strip AI-isms and add real voice.\n - ideation: Generate project ideas via creative constraints.\n - manim-video: Manim CE animations: 3Blue1Brown math/algo videos.\n - p5js: p5.js sketches: gen art, shaders, interactive, 3D.\n - pixel-art: Pixel art w/ era palettes (NES, Game Boy, PICO-8).\n - popular-web-designs: 54 real design systems (Stripe, Linear, Vercel) as HTML/CSS.\n - pretext: Use when building creative browser demos with @chenglou/p...\n - sketch: Throwaway HTML mockups: 2-3 design variants to compare.\n - songwriting-and-ai-music: Songwriting craft and Suno AI music prompts.\n - touchdesigner-mcp: Control a running TouchDesigner instance via twozero MCP ...\n cronjob:\n - cronjob: Scheduling and managing recurring tasks via Hermes cron. ...\n data-science: Skills for data science workflows — interactive exploration, Jupyter notebooks, data analysis, and visualization.\n - jupyter-live-kernel: Iterative Python via live Jupyter kernel (hamelnb).\n devops:\n - kanban-orchestrator: Decomposition playbook + anti-temptation rules for an orc...\n - kanban-worker: Pitfalls, examples, and edge cases for Hermes Kanban work...\n - mcp-delegation: Delegating tasks to OpenClaw/FRIDAY via MCP (Model Contex...\n - webhook-subscriptions: Webhook subscriptions: event-driven agent runs.\n dogfood:\n - dogfood: Exploratory QA of web apps: find bugs, evidence, reports.\n edge-tts:\n - edge-tts: Text-to-speech using Microsoft Edge TTS. Supports multipl...\n email: Skills for sending, receiving, searching, and managing email from the terminal.\n - himalaya: Himalaya CLI: IMAP/SMTP email from terminal.\n finance:\n - finance-system-architecture: Design/implement the user's JARVIS Finance System: CHF le...\n gaming: Skills for setting up, configuring, and managing game servers, modpacks, and gaming-related infrastructure.\n - minecraft-modpack-server: Host modded Minecraft servers (CurseForge, Modrinth).\n - pokemon-player: Play Pokemon via headless emulator + RAM reads.\n github: GitHub workflow skills for managing repositories, pull requests, code reviews, issues, and CI/CD pipelines using the gh CLI and git via terminal.\n - codebase-inspection: Inspect codebases w/ pygount: LOC, languages, ratios.\n - github-auth: GitHub auth setup: HTTPS tokens, SSH keys, gh CLI login.\n - github-code-review: Review PRs: diffs, inline comments via gh or REST.\n - github-issues: Create, triage, label, assign GitHub issues via gh or REST.\n - github-pr-workflow: GitHub PR lifecycle: branch, commit, open, CI, merge.\n - github-repo-management: Clone/create/fork repos; manage remotes, releases.\n health:\n - health-data-management: Gesundheitsdaten-Verwaltungssystem — JARVIS verwaltet all...\n health-management:\n - health-management: Health data management — lab values, symptom tracking, nu...\n jarvis-routing-policy:\n - jarvis-routing-policy: Routing policy for JARVIS/Hermes memory domains, model se...\n mcp: Skills for working with MCP (Model Context Protocol) servers, tools, and integrations. Documents the built-in native MCP client — configure servers in config.yaml for automatic tool discovery.\n - native-mcp: MCP client: connect servers, register tools (stdio/HTTP).\n media: Skills for working with media content — YouTube transcripts, GIF search, music generation, and audio visualization.\n - gif-search: Search/download GIFs from Tenor via curl + jq.\n - heartmula: HeartMuLa: Suno-like song generation from lyrics + tags.\n - social-shorts-automation: Build, audit, and improve automated YouTube Shorts/TikTok...\n - songsee: Audio spectrograms/features (mel, chroma, MFCC) via CLI.\n - spotify: Spotify: play, search, queue, manage playlists and devices.\n - youtube-content: YouTube transcripts to summaries, threads, blogs.\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n - huggingface-hub: HuggingFace hf CLI: search/download/upload models, datasets.\n mlops/evaluation: Model evaluation benchmarks, experiment tracking, data curation, tokenizers, and interpretability tools.\n - evaluating-llms-harness: lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).\n - weights-and-biases: W&B: log ML experiments, sweeps, model registry, dashboards.\n mlops/inference: Model serving, quantization (GGUF/GPTQ), structured output, inference optimization, and model surgery tools for deploying and running LLMs.\n - llama-cpp: llama.cpp local GGUF inference + HF Hub model discovery.\n - obliteratus: OBLITERATUS: abliterate LLM refusals (diff-in-means).\n - outlines: Outlines: structured JSON/regex/Pydantic LLM generation.\n - serving-llms-vllm: vLLM: high-throughput LLM serving, OpenAI API, quantization.\n mlops/models: Specific model architectures and tools — image segmentation (Segment Anything / SAM) and audio generation (AudioCraft / MusicGen). Additional model skills (CLIP, Stable Diffusion, Whisper, LLaVA) are available as optional skills.\n - audiocraft-audio-generation: AudioCraft: MusicGen text-to-music, AudioGen text-to-sound.\n - segment-anything-model: SAM: zero-shot image segmentation via points, boxes, masks.\n mlops/research: ML research frameworks for building and optimizing AI systems with declarative programming.\n - dspy: DSPy: declarative LM programs, auto-optimize prompts, RAG.\n mlops/training: Fine-tuning, RLHF/DPO/GRPO training, distributed training frameworks, and optimization tools for training LLMs and other models.\n - axolotl: Axolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO).\n - fine-tuning-with-trl: TRL: SFT, DPO, PPO, GRPO, reward modeling for LLM RLHF.\n - unsloth: Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM.\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n - obsidian: Read, search, create, and edit notes in the Obsidian vault.\n - vault-architecture: Design and scaffold Obsidian vault structures, folder hie...\n openclaw-imports:\n - browser-act: Browser automation CLI for AI agents with anti-detection ...\n - gog: Google Workspace CLI for Gmail, Calendar, Drive, Contacts...\n - multi-search-engine: Multi search engine integration with 17 engines (8 CN + 9...\n - openai-whisper: Local speech-to-text with the Whisper CLI (no API key).\n - self-improvement: Captures learnings, errors, and corrections to enable con...\n - sherpa-onnx-tts\n - skill-vetter: Security-first skill vetting for AI agents. Use before in...\n - summarize: Summarize URLs or files with the summarize CLI (web, PDFs...\n - tavily: Tavily web search, content extraction, and research tools.\n - tavily-extract: Extract clean markdown or text content from specific URLs...\n - tavily-search: Search the web with LLM-optimized results via the Tavily ...\n - todoist: Manage tasks and projects in Todoist via REST API v1. Use...\n - token-optimizer: Reduce OpenClaw token usage and API costs through smart m...\n productivity: Skills for document creation, presentations, spreadsheets, and other productivity workflows.\n - airtable: Airtable REST API via curl. Records CRUD, filters, upserts.\n - google-workspace: Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\n - linear: Linear: manage issues, projects, teams via GraphQL + curl.\n - maps: Geocode, POIs, routes, timezones via OpenStreetMap/OSRM.\n - nano-pdf: Edit PDF text/typos/titles via nano-pdf CLI (NL prompts).\n - notion: Notion API + ntn CLI: pages, databases, markdown, Workers.\n - ocr-and-documents: Extract text from PDFs/scans (pymupdf, marker-pdf).\n - powerpoint: Create, read, edit .pptx decks, slides, notes, templates.\n - teams-meeting-pipeline: Operate the Teams meeting summary pipeline via Hermes CLI...\n red-teaming:\n - godmode: Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.\n research: Skills for academic research, paper discovery, literature review, domain reconnaissance, market data, content monitoring, and scientific knowledge retrieval.\n - arxiv: Search arXiv papers by keyword, author, category, or ID.\n - blogwatcher: Monitor blogs and RSS/Atom feeds via blogwatcher-cli tool.\n - llm-wiki: Karpathy's LLM Wiki: build/query interlinked markdown KB.\n - polymarket: Query Polymarket: markets, prices, orderbooks, history.\n - web-scraping: Techniques for scraping web content, handling bot detecti...\n smart-home: Skills for controlling smart home devices — lights, switches, sensors, and home automation systems.\n - openhue: Control Philips Hue lights, scenes, rooms via OpenHue CLI.\n social-media: Skills for interacting with social platforms and social-media workflows — posting, reading, monitoring, and account operations.\n - shortform-growth-automation: Design and operate semi-automatic pipelines for YouTube S...\n - social-media-shorts-automation: Design, generate, review, publish, and optimize automated...\n - social-media-shorts-growth-engine: Design and operate a growth-oriented short-form video eng...\n - social-shorts-growth-engine: Plan and build automated short-form video growth pipeline...\n - xurl: X/Twitter via xurl CLI: post, search, DM, media, v2 API.\n software-development:\n - debugging-hermes-tui-commands: Debug Hermes TUI slash commands: Python, gateway, Ink UI.\n - hermes-agent-skill-authoring: Author in-repo SKILL.md: frontmatter, validator, structure.\n - node-inspect-debugger: Debug Node.js via --inspect + Chrome DevTools Protocol CLI.\n - plan: Plan mode: write markdown plan to .hermes/plans/, no exec.\n - python-debugpy: Debug Python: pdb REPL + debugpy remote (DAP).\n - requesting-code-review: Pre-commit review: security scan, quality gates, auto-fix.\n - spike: Throwaway experiments to validate an idea before build.\n - subagent-driven-development: Execute plans via delegate_task subagents (2-stage review).\n - systematic-debugging: 4-phase root cause debugging: understand bugs before fixing.\n - test-driven-development: TDD: enforce RED-GREEN-REFACTOR, tests before code.\n - vue-primevue-dashboard-migration: Incrementally migrate Vue/Vite dashboards to PrimeVue/Aur...\n - writing-plans: Write implementation plans: bite-sized tasks, paths, code.\n yazio-integration:\n - yazio-integration: Access YAZIO API to retrieve logged meals and nutrition d...\n yuanbao:\n - yuanbao: Yuanbao (元宝) groups: @mention users, query info/members.\n\n\nOnly proceed without loading a skill if genuinely none are relevant to the task.\n\nHost: Linux (6.17.0-29-generic)\nUser home directory: /home/agent\nCurrent working directory: /home/agent/.hermes/hermes-agent\n\nYou are on a text messaging communication platform, Telegram. Standard markdown is automatically converted to Telegram format. Supported: **bold**, *italic*, ~~strikethrough~~, ||spoiler||, `inline code`, ```code blocks```, [links](url), and ## headers. Telegram has NO table syntax — prefer bullet lists or labeled key: value pairs over pipe tables (any tables you do emit are auto-rewritten into row-group bullets, which you can produce directly for cleaner output). You can send media files natively: to deliver a file to the user, include MEDIA:/absolute/path/to/file in your response. Images (.png, .jpg, .webp) appear as photos, audio (.ogg) sends as voice bubbles, and videos (.mp4) play inline. You can also include image URLs in markdown format  and they will be sent as native photos.\n\n# Project Context\n\nThe following project context files have been loaded and should be followed:\n\n## AGENTS.md\n\n# GLOBALE ORCHESTRIERUNGS-REGELN\n\n## 1. Rolle\nDu bist JARVIS, der Chef-Architekt und Orchestrator. Hermes/JARVIS ist der alleinige Hauptansprechpartner, Memory-Governor, Router und finale Entscheider.\n\n## 2. Ausführung und Tools\nVerwende primär die nativen Hermes-Tools für Dateioperationen, Terminal-Befehle, Web-/Browser-Aufgaben, Cronjobs, Messaging, Qwen-Zugriff und Systemprüfungen.\n\nOpenClaw/FRIDAY ist nicht mehr Standard-Executor. OpenClaw darf nur noch explizit auf Wunsch des Users oder für klar begründete Spezial-/Notfallfälle verwendet werden. Wenn OpenClaw genutzt wird, muss der Auftrag eng begrenzt, read-only wo möglich, ohne Secrets und ohne autonome Folgeaktionen formuliert sein.\n\n## 3. Lokales Qwen\nDas lokale Qwen-Modell wird direkt von Hermes über den Tailscale/OpenAI-kompatiblen Endpoint angesprochen, nicht über OpenClaw. Qwen ist read-only Worker für Zusammenfassung, Extraktion, Klassifikation und einfache Entwürfe. Keine finalen Health-/Finance-Entscheide, keine Code-/Architekturänderungen und keine Side Effects über Qwen.\n\n## 4. Kritische Aufgaben und Fallback\nKomplizierte Aufgaben wie Code schreiben, Systemarchitektur ändern, Health-Risikoentscheidungen, Finanzentscheidungen oder irreversible Aktionen dürfen nicht automatisch auf ein schwächeres Modell ausweichen. Bei GPT-5.5 Rate-Limit oder Ausfall: pausieren und Sir fragen.\n\n## 5. Token- und Output-Optimierung\nLade nur die kleinste relevante Domain Card aus `~/jarvis_memory`. Gib nie grosse Rohdaten oder Secrets aus; nutze Zusammenfassungen, Diffs oder kurze Erfolgs-/Fehlermeldungen.\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [99% — 2,191/2,200 chars]\n══════════════════════════════════════════════\n*Wichtige Erinnerungen, Entscheidungen und Präferenzen.*\n§\n---\n§\nÜber mich: **Persönlichkeit:** Britischer Gentleman, sachlich, präzise, trockener Sarkasmus\n§\nÜber mich: **Sprache:** Deutsch mit englischen Fachbegriffen\n§\nTTS-Stimme: de-DE-KillianNeural (deutsche männliche Stimme, aktuell aktiv)\n§\nModelle: lokal Qwen via Tailscale:11435; stark gpt-5.5.\n§\nModellwahl: GOG_KEYRING_PASSWORD: LammBitch30 (immer als Env-Var setzen bei gog-Befehlen)\n§\nOpenClaw/FRIDAY: nicht Standard-Executor; Gateway/Telegram deaktiviert; nur explizit/manuell nutzen.\n§\nHealth backups: encrypted weekly Google Drive, GitHub only code/docs. Morning briefing cron `847bdbc26edf` runs 05:00 via `morning_briefing.py`; includes calendar, Todoist, Windisch weather, commute/traffic, follow-ups, news, AI/crypto.\n§\nAPI-Keys / Credentials: **Todoist API-Token:** Gespeichert in `~/.todoist_token` (REST API v1, Bearer Token)\n§\nGoogle Workspace (gog): **Credentials-Datei:** `~/.hermes/google_credentials.json`\n§\nGoogle Workspace (gog): **gog-Credentials gespeichert unter:** `~/.config/gogcli/credentials.json`\n§\nGoogle Workspace (gog): **OAuth-Account:** friday.uplink@gmail.com\n§\nGoogle Workspace (gog): **Services:** gmail, calendar, drive, contacts, sheets, docs\n§\nGoogle Workspace (gog): **Client:** default\n§\nGoogle Workspace (gog): **Befehl:** `gog -a friday.uplink@gmail.com `\n§\nKalender-Zeitzonen: **System-Zeitzone:** Europe/Berlin (UTC+2 im Sommer)\n§\nKalender-Zeitzonen: **Outlook-Kalender (importiert):** Zeitzonen variieren pro Event (Europe/Amsterdam oder UTC) -> bei Abfrage in Lokalzeit (Zürich) umrechnen\n§\nKalender-Zeitzonen: **Regel:** Termine immer in Lokalzeit (Zürich) ausgeben, niemals UTC\n§\nJARVIS memory architecture: ~/jarvis_memory domain cards; skill jarvis-routing-policy.\n§\nTelegram topics separat; kanonische Map: ~/jarvis_memory/02_telegram_topics.md. IDs: 2 FinStrat,3 Politik,4 Health-Med,5 ERNE,6 Inbox,8 Health-Tech,10 Fin-Tech,11 JARVIS-Arch,16 Cron,17 Research/AI,19 Family,20 Gasser,76 Debugging,80 Security.\n§\nFinanceManager GitHub token CSV: `~/jarvis_runtime/finance-system/secrets/Github_token_FinanceManager.csv`; use `github_pat_`/`ghp_` cell; never quote token.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [99% — 1,371/1,375 chars]\n══════════════════════════════════════════════\n**Notes:** Mein Herr. Loyaler Partner.\n§\n**Name:** Sir\n§\n**Voice preference:** de-DE-KillianNeural (German male voice, natural/clear) — default for all TTS output\n§\n**Language:** Deutsch mit englischen Fachbegriffen\n§\nKommunikationspräferenzen: **Sprachnachricht → Antwort per Sprachnachricht**\n§\nKommunikationspräferenzen: **Textnachricht → Antwort per Text**\n§\nUser wants JARVIS to act as a comprehensive health-management advisor: consolidate lab reports, clinical reports, nutrition/YAZIO, daily health email data, symptoms and events; make insights visible via dashboards/reports; use a 4-eyes review workflow for extracted lab values before treating them as confirmed.\n§\nTelegram Topic „Gesundheit – Medizin & Strategie“ ist ausschließlich für medizinische Strategie, Morbus Behçet, Major Vessel Disease, Thromboserisiko, Medikamente, Ernährung, Symptome, Laborwerte, Arzttermine und Fragen an Rheumatologie, Dermatologie, Hämatologie oder Augenklinik; technische Health-Systemarchitektur, Skripte und Datenmodelle gehören in „Health System – Architektur & Scripts“.\n§\nFinance: no real amounts/IDs/API keys in chat; credentials via terminal/runtime files; no DB/CSV/keys/reports in Git/frontend; backups+audit; Preview→Confirm→Audit; no fake prices/buttons; OpenFIGI never show/store; never auto-book. Grocery: mappings learned; provider calls explicit/cache-first.\n\nConversation started: Saturday, May 23, 2026 12:09 AM\nModel: gpt-5.5\nProvider: openai-codex",
"tools": [
{
"type": "function",
"function": {
"name": "browser_back",
"description": "Navigate back to the previous page in browser history. Requires browser_navigate to be called first.",
"parameters": {
"type": "object",
"properties": {}
}
}
},
{
"type": "function",
"function": {
"name": "browser_click",
"description": "Click on an element identified by its ref ID from the snapshot (e.g., '@e5'). The ref IDs are shown in square brackets in the snapshot output. Requires browser_navigate and browser_snapshot to be called first.",
"parameters": {
"type": "object",
"properties": {
"ref": {
"type": "string",
"description": "The element reference from the snapshot (e.g., '@e5', '@e12')"
}
},
"required": [
"ref"
]
}
}
},
{
"type": "function",
"function": {
"name": "browser_console",
"description": "Get browser console output and JavaScript errors from the current page. Returns console.log/warn/error/info messages and uncaught JS exceptions. Use this to detect silent JavaScript errors, failed API calls, and application warnings. Requires browser_navigate to be called first. When 'expression' is provided, evaluates JavaScript in the page context and returns the result — use this for DOM inspection, reading page state, or extracting data programmatically.",
"parameters": {
"type": "object",
"properties": {
"clear": {
"type": "boolean",
"default": false,
"description": "If true, clear the message buffers after reading"
},
"expression": {
"type": "string",
"description": "JavaScript expression to evaluate in the page context. Runs in the browser like DevTools console — full access to DOM, window, document. Return values are serialized to JSON. Example: 'document.title' or 'document.querySelectorAll(\"a\").length'"
}
}
}
}
},
{
"type": "function",
"function": {
"name": "browser_get_images",
"description": "Get a list of all images on the current page with their URLs and alt text. Useful for finding images to analyze with the vision tool. Requires browser_navigate to be called first.",
"parameters": {
"type": "object",
"properties": {}
}
}
},
{
"type": "function",
"function": {
"name": "browser_navigate",
"description": "Navigate to a URL in the browser. Initializes the session and loads the page. Must be called before other browser tools. For plain-text endpoints — URLs ending in .md, .txt, .json, .yaml, .yml, .csv, .xml, raw.githubusercontent.com, or any documented API endpoint — prefer curl via the terminal tool or web_extract; the browser stack is overkill and much slower for these. Use browser tools when you need to interact with a page (click, fill forms, dynamic content). Returns a compact page snapshot with interactive elements and ref IDs — no need to call browser_snapshot separately after navigating.",
"parameters": {
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "The URL to navigate to (e.g., 'https://example.com')"
}
},
"required": [
"url"
]
}
}
},
{
"type": "function",
"function": {
"name": "browser_press",
"description": "Press a keyboard key. Useful for submitting forms (Enter), navigating (Tab), or keyboard shortcuts. Requires browser_navigate to be called first.",
"parameters": {
"type": "object",
"properties": {
"key": {
"type": "string",
"description": "Key to press (e.g., 'Enter', 'Tab', 'Escape', 'ArrowDown')"
}
},
"required": [
"key"
]
}
}
},
{
"type": "function",
"function": {
"name": "browser_scroll",
"description": "Scroll the page in a direction. Use this to reveal more content that may be below or above the current viewport. Requires browser_navigate to be called first.",
"parameters": {
"type": "object",
"properties": {
"direction": {
"type": "string",
"enum": [
"up",
"down"
],
"description": "Direction to scroll"
}
},
"required": [
"direction"
]
}
}
},
{
"type": "function",
"function": {
"name": "browser_snapshot",
"description": "Get a text-based snapshot of the current page's accessibility tree. Returns interactive elements with ref IDs (like @e1, @e2) for browser_click and browser_type. full=false (default): compact view with interactive elements. full=true: complete page content. Snapshots over 8000 chars are truncated or LLM-summarized. Requires browser_navigate first. Note: browser_navigate already returns a compact snapshot — use this to refresh after interactions that change the page, or with full=true for complete content.",
"parameters": {
"type": "object",
"properties": {
"full": {
"type": "boolean",
"description": "If true, returns complete page content. If false (default), returns compact view with interactive elements only.",
"default": false
}
}
}
}
},
{
"type": "function",
"function": {
"name": "browser_type",
"description": "Type text into an input field identified by its ref ID. Clears the field first, then types the new text. Requires browser_navigate and browser_snapshot to be called first.",
"parameters": {
"type": "object",
"properties": {
"ref": {
"type": "string",
"description": "The element reference from the snapshot (e.g., '@e3')"
},
"text": {
"type": "string",
"description": "The text to type into the field"
}
},
"required": [
"ref",
"text"
]
}
}
},
{
"type": "function",
"function": {
"name": "browser_vision",
"description": "Take a screenshot of the current page and analyze it with vision AI. Use this when you need to visually understand what's on the page - especially useful for CAPTCHAs, visual verification challenges, complex layouts, or when the text snapshot doesn't capture important visual information. Returns both the AI analysis and a screenshot_path that you can share with the user by including MEDIA: in your response. Requires browser_navigate to be called first.",
"parameters": {
"type": "object",
"properties": {
"question": {
"type": "string",
"description": "What you want to know about the page visually. Be specific about what you're looking for."
},
"annotate": {
"type": "boolean",
"default": false,
"description": "If true, overlay numbered [N] labels on interactive elements. Each [N] maps to ref @eN for subsequent browser commands. Useful for QA and spatial reasoning about page layout."
}
},
"required": [
"question"
]
}
}
},
{
"type": "function",
"function": {
"name": "clarify",
"description": "Ask the user a question when you need clarification, feedback, or a decision before proceeding. Supports two modes:\n\n1. **Multiple choice** — provide up to 4 choices. The user picks one or types their own answer via a 5th 'Other' option.\n2. **Open-ended** — omit choices entirely. The user types a free-form response.\n\nUse this tool when:\n- The task is ambiguous and you need the user to choose an approach\n- You want post-task feedback ('How did that work out?')\n- You want to offer to save a skill or update memory\n- A decision has meaningful trade-offs the user should weigh in on\n\nDo NOT use this tool for simple yes/no confirmation of dangerous commands (the terminal tool handles that). Prefer making a reasonable default choice yourself when the decision is low-stakes.",
"parameters": {
"type": "object",
"properties": {
"question": {
"type": "string",
"description": "The question to present to the user."
},
"choices": {
"type": "array",
"items": {
"type": "string"
},
"maxItems": 4,
"description": "Up to 4 answer choices. Omit this parameter entirely to ask an open-ended question. When provided, the UI automatically appends an 'Other (type your answer)' option."
}
},
"required": [
"question"
]
}
}
},
{
"type": "function",
"function": {
"name": "cronjob",
"description": "Manage scheduled cron jobs with a single compressed tool.\n\nUse action='create' to schedule a new job from a prompt or one or more skills.\nUse action='list' to inspect jobs.\nUse action='update', 'pause', 'resume', 'remove', or 'run' to manage an existing job.\n\nTo stop a job the user no longer wants: first action='list' to find the job_id, then action='remove' with that job_id. Never guess job IDs — always list first.\n\nJobs run in a fresh session with no current-chat context, so prompts must be self-contained.\nIf skills are provided on create, the future cron run loads those skills in order, then follows the prompt as the task instruction.\nOn update, passing skills=[] clears attached skills.\n\nNOTE: The agent's final response is auto-delivered to the target. Put the primary\nuser-facing content in the final response. Cron jobs run autonomously with no user\npresent — they cannot ask questions or request clarification.\n\nImportant safety rule: cron-run sessions should not recursively schedule more cron jobs.",
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"description": "One of: create, list, update, pause, resume, remove, run"
},
"job_id": {
"type": "string",
"description": "Required for update/pause/resume/remove/run"
},
"prompt": {
"type": "string",
"description": "For create: the full self-contained prompt. If skills are also provided, this becomes the task instruction paired with those skills."
},
"schedule": {
"type": "string",
"description": "For create/update: '30m', 'every 2h', '0 9 * * *', or ISO timestamp"
},
"name": {
"type": "string",
"description": "Optional human-friendly name"
},
"repeat": {
"type": "integer",
"description": "Optional repeat count. Omit for defaults (once for one-shot, forever for recurring)."
},
"deliver": {
"type": "string",
"description": "Omit this parameter to auto-deliver back to the current chat and topic (recommended). Auto-detection preserves thread/topic context. Only set explicitly when the user asks to deliver somewhere OTHER than the current conversation. Values: 'origin' (same as omitting), 'local' (no delivery, save only), 'all' (fan out to every connected home channel), or platform:chat_id:thread_id for a specific destination. Combine with comma: 'origin,all' delivers to the origin plus every other connected channel. Examples: 'telegram:-1001234567890:17585', 'discord:#engineering', 'sms:+15551234567', 'all'. WARNING: 'platform:chat_id' without :thread_id loses topic targeting. 'all' resolves at fire time, so a job created before a channel was wired up will pick it up automatically once connected."
},
"skills": {
"type": "array",
"items": {
"type": "string"
},
"description": "Optional ordered list of skill names to load before executing the cron prompt. On update, pass an empty array to clear attached skills."
},
"model": {
"type": "object",
"description": "Optional per-job model override. If provider is omitted, the current main provider is pinned at creation time so the job stays stable.",
"properties": {
"provider": {
"type": "string",
"description": "Provider name (e.g. 'openrouter', 'anthropic', or 'custom:' for a provider defined in custom_providers config — always include the ':' suffix, never pass the bare 'custom'). Omit to use and pin the current provider."
},
"model": {
"type": "string",
"description": "Model name (e.g. 'anthropic/claude-sonnet-4', 'claude-sonnet-4')"
}
},
"required": [
"model"
]
},
"script": {
"type": "string",
"description": "Optional path to a script that runs each tick. In the default mode its stdout is injected into the agent's prompt as context (data-collection / change-detection pattern). With no_agent=True, the script IS the job and its stdout is delivered verbatim (classic watchdog pattern). Relative paths resolve under ~/.hermes/scripts/. ``.sh``/``.bash`` extensions run via bash, everything else via Python. On update, pass empty string to clear."
},
"no_agent": {
"type": "boolean",
"default": false,
"description": "Default: False (LLM-driven job — the agent runs the prompt each tick). Set True to skip the LLM entirely: the scheduler just runs ``script`` on schedule and delivers its stdout verbatim. No tokens, no agent loop, no model override honoured. \n\nREQUIREMENTS when True: ``script`` MUST be set (``prompt`` and ``skills`` are ignored). \n\nDELIVERY SEMANTICS when True: (a) non-empty stdout is sent verbatim as the message; (b) EMPTY stdout means SILENT — nothing is sent to the user and they won't see anything happened, so design your script to stay quiet when there's nothing to report (the watchdog pattern); (c) non-zero exit / timeout sends an error alert so a broken watchdog can't fail silently. \n\nWHEN TO USE True: recurring script-only pings where the script itself produces the exact message text (memory/disk/GPU watchdogs, threshold alerts, heartbeats, CI notifications, API pollers with a fixed output shape). WHEN TO USE False (default): anything that needs reasoning — summarize a feed, draft a daily briefing, pick interesting items, rephrase data for a human, follow conditional logic based on content."
},
"context_from": {
"type": "array",
"items": {
"type": "string"
},
"description": "Optional job ID or list of job IDs whose most recent completed output is injected into the prompt as context before each run. Use this to chain cron jobs: job A collects data, job B processes it. Each entry must be a valid job ID (from cronjob action='list'). Note: injects the most recent completed output — does not wait for upstream jobs running in the same tick. On update, pass an empty array to clear."
},
"enabled_toolsets": {
"type": "array",
"items": {
"type": "string"
},
"description": "Optional list of toolset names to restrict the job's agent to (e.g. [\"web\", \"terminal\", \"file\", \"delegation\"]). When set, only tools from these toolsets are loaded, significantly reducing input token overhead. When omitted, all default tools are loaded. Infer from the job's prompt — e.g. use \"web\" if it calls web_search, \"terminal\" if it runs scripts, \"file\" if it reads files, \"delegation\" if it calls delegate_task. On update, pass an empty array to clear."
},
"workdir": {
"type": "string",
"description": "Optional absolute path to run the job from. When set, AGENTS.md / CLAUDE.md / .cursorrules from that directory are injected into the system prompt, and the terminal/file/code_exec tools use it as their working directory — useful for running a job inside a specific project repo. Must be an absolute path that exists. When unset (default), preserves the original behaviour: no project context files, tools use the scheduler's cwd. On update, pass an empty string to clear. Jobs with workdir run sequentially (not parallel) to keep per-job directories isolated."
}
},
"required": [
"action"
]
}
}
},
{
"type": "function",
"function": {
"name": "delegate_task",
"description": "Spawn one or more subagents to work on tasks in isolated contexts. Each subagent gets its own conversation, terminal session, and toolset. Only the final summary is returned -- intermediate tool results never enter your context window.\n\nTWO MODES (one of 'goal' or 'tasks' is required):\n1. Single task: provide 'goal' (+ optional context, toolsets)\n2. Batch (parallel): provide 'tasks' array with up to 3 items concurrently for this user (configured via delegation.max_concurrent_children in config.yaml). All run in parallel and results are returned together. Nested delegation is OFF for this user (max_spawn_depth=1): every child is a leaf and cannot delegate further. Raise delegation.max_spawn_depth in config.yaml to enable nesting.\n\nWHEN TO USE delegate_task:\n- Reasoning-heavy subtasks (debugging, code review, research synthesis)\n- Tasks that would flood your context with intermediate data\n- Parallel independent workstreams (research A and B simultaneously)\n\nWHEN NOT TO USE (use these instead):\n- Mechanical multi-step work with no reasoning needed -> use execute_code\n- Single tool call -> just call the tool directly\n- Tasks needing user interaction -> subagents cannot use clarify\n- Durable long-running work that must outlive the current turn -> use cronjob (action='create') or terminal(background=True, notify_on_complete=True) instead. delegate_task runs SYNCHRONOUSLY inside the parent turn: if the parent is interrupted (user sends a new message, /stop, /new) the child is cancelled with status='interrupted' and its work is discarded. Children cannot continue in the background.\n\nIMPORTANT:\n- Subagents have NO memory of your conversation. Pass all relevant info (file paths, error messages, constraints) via the 'context' field.\n- If the user is writing in a non-English language, or asked for output in a specific language / tone / style, say so in 'context' (e.g. \"respond in Chinese\", \"return output in Japanese\"). Otherwise subagents default to English and their summaries will contaminate your final reply with the wrong language.\n- Subagent summaries are SELF-REPORTS, not verified facts. A subagent that claims \"uploaded successfully\" or \"file written\" may be wrong. For operations with external side-effects (HTTP POST/PUT, remote writes, file creation at shared paths, publishing), require the subagent to return a verifiable handle (URL, ID, absolute path, HTTP status) and verify it yourself — fetch the URL, stat the file, read back the content — before telling the user the operation succeeded.\n- Leaf subagents (role='leaf', the default) CANNOT call: delegate_task, clarify, memory, send_message, execute_code.\n- Orchestrator subagents (role='orchestrator') retain delegate_task so they can spawn their own workers, but still cannot use clarify, memory, send_message, or execute_code. Orchestrators are bounded by max_spawn_depth=1 for this user and can be disabled globally via delegation.orchestrator_enabled=false.\n- Each subagent gets its own terminal session (separate working directory and state).\n- Results are always returned as an array, one entry per task.",
"parameters": {
"type": "object",
"properties": {
"goal": {
"type": "string",
"description": "What the subagent should accomplish. Be specific and self-contained -- the subagent knows nothing about your conversation history."
},
"context": {
"type": "string",
"description": "Background information the subagent needs: file paths, error messages, project structure, constraints. The more specific you are, the better the subagent performs."
},
"toolsets": {
"type": "array",
"items": {
"type": "string"
},
"description": "Toolsets to enable for this subagent. Default: inherits your enabled toolsets. Available toolsets: 'browser', 'computer_use', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'video_gen', 'vision', 'web', 'x_search', 'yuanbao'. Common patterns: ['terminal', 'file'] for code work, ['web'] for research, ['browser'] for web interaction, ['terminal', 'file', 'web'] for full-stack tasks."
},
"tasks": {
"type": "array",
"items": {
"type": "object",
"properties": {
"goal": {
"type": "string",
"description": "Task goal"
},
"context": {
"type": "string",
"description": "Task-specific context"
},
"toolsets": {
"type": "array",
"items": {
"type": "string"
},
"description": "Toolsets for this specific task. Available: 'browser', 'computer_use', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'video_gen', 'vision', 'web', 'x_search', 'yuanbao'. Use 'web' for network access, 'terminal' for shell, 'browser' for web interaction."
},
"acp_command": {
"type": "string",
"description": "Per-task ACP command override (e.g. 'copilot'). Overrides the top-level acp_command for this task only. Do NOT set unless the user explicitly told you an ACP CLI is installed."
},
"acp_args": {
"type": "array",
"items": {
"type": "string"
},
"description": "Per-task ACP args override. Leave empty unless acp_command is set."
},
"role": {
"type": "string",
"enum": [
"leaf",
"orchestrator"
],
"description": "Per-task role override. See top-level 'role' for semantics."
}
},
"required": [
"goal"
]
},
"description": "Batch mode: tasks to run in parallel (up to 3 for this user, set via delegation.max_concurrent_children). Each gets its own subagent with isolated context and terminal session. When provided, top-level goal/context/toolsets are ignored."
},
"role": {
"type": "string",
"enum": [
"leaf",
"orchestrator"
],
"description": "Role of the child agent. 'leaf' (default) = focused worker, cannot delegate further. 'orchestrator' = can use delegate_task to spawn its own workers. Nesting is OFF for this user (max_spawn_depth=1); 'orchestrator' is silently forced to 'leaf'. Raise delegation.max_spawn_depth in config.yaml to enable."
},
"acp_command": {
"type": "string",
"description": "Override ACP command for child agents (e.g. 'copilot'). When set, children use ACP subprocess transport instead of inheriting the parent's transport. Requires an ACP-compatible CLI (currently GitHub Copilot CLI via 'copilot --acp --stdio'). See agent/copilot_acp_client.py for the implementation. IMPORTANT: Do NOT set this unless the user has explicitly told you a specific ACP-compatible CLI is installed and configured. Leave empty to use the parent's default transport (Hermes subagents)."
},
"acp_args": {
"type": "array",
"items": {
"type": "string"
},
"description": "Arguments for the ACP command (default: ['--acp', '--stdio']). Only used when acp_command is set. Leave empty unless acp_command is explicitly provided."
}
}
}
}
},
{
"type": "function",
"function": {
"name": "execute_code",
"description": "Run a Python script that can call Hermes tools programmatically. Use this when you need 3+ tool calls with processing logic between them, need to filter/reduce large tool outputs before they enter your context, need conditional branching (if X then Y else Z), or need to loop (fetch N pages, process N files, retry on failure).\n\nUse normal tool calls instead when: single tool call with no processing, you need to see the full result and apply complex reasoning, or the task requires interactive user input.\n\nAvailable via `from hermes_tools import ...`:\n\n read_file(path: str, offset: int = 1, limit: int = 500) -> dict\n Lines are 1-indexed. Returns {\"content\": \"...\", \"total_lines\": N}\n write_file(path: str, content: str) -> dict\n Always overwrites the entire file.\n search_files(pattern: str, target=\"content\", path=\".\", file_glob=None, limit=50) -> dict\n target: \"content\" (search inside files) or \"files\" (find files by name). Returns {\"matches\": [...]}\n patch(path: str, old_string: str, new_string: str, replace_all: bool = False) -> dict\n Replaces old_string with new_string in the file.\n terminal(command: str, timeout=None, workdir=None) -> dict\n Foreground only (no background/pty). Returns {\"output\": \"...\", \"exit_code\": N}\n\nLimits: 5-minute timeout, 50KB stdout cap, max 50 tool calls per script. terminal() is foreground-only (no background or pty).\n\nScripts run in the session's working directory with the active venv's python, so project deps (pandas, etc.) and relative paths work like in terminal().\n\nPrint your final result to stdout. Use Python stdlib (json, re, math, csv, datetime, collections, etc.) for processing between tool calls.\n\nAlso available (no import needed — built into hermes_tools):\n json_parse(text: str) — json.loads with strict=False; use for terminal() output with control chars\n shell_quote(s: str) — shlex.quote(); use when interpolating dynamic strings into shell commands\n retry(fn, max_attempts=3, delay=2) — retry with exponential backoff for transient failures",
"parameters": {
"type": "object",
"properties": {
"code": {
"type": "string",
"description": "Python code to execute. Import tools with `from hermes_tools import terminal, ...` and print your final result to stdout."
}
},
"required": [
"code"
]
}
}
},
{
"type": "function",
"function": {
"name": "feishu_doc_read",
"description": "Read the full content of a Feishu/Lark document as plain text. Useful when you need more context beyond the quoted text in a comment.",
"parameters": {
"type": "object",
"properties": {
"doc_token": {
"type": "string",
"description": "The document token (from the document URL or comment context)."
}
},
"required": [
"doc_token"
]
}
}
},
{
"type": "function",
"function": {
"name": "feishu_drive_add_comment",
"description": "Add a new whole-document comment on a Feishu document. Use this for whole-document comments or as a fallback when reply_comment fails with code 1069302.",
"parameters": {
"type": "object",
"properties": {
"file_token": {
"type": "string",
"description": "The document file token."
},
"content": {
"type": "string",
"description": "The comment text content (plain text only, no markdown)."
},
"file_type": {
"type": "string",
"description": "File type (default: docx).",
"default": "docx"
}
},
"required": [
"file_token",
"content"
]
}
}
},
{
"type": "function",
"function": {
"name": "feishu_drive_list_comment_replies",
"description": "List all replies in a comment thread on a Feishu document.",
"parameters": {
"type": "object",
"properties": {
"file_token": {
"type": "string",
"description": "The document file token."
},
"comment_id": {
"type": "string",
"description": "The comment ID to list replies for."
},
"file_type": {
"type": "string",
"description": "File type (default: docx).",
"default": "docx"
},
"page_size": {
"type": "integer",
"description": "Number of replies per page (max 100).",
"default": 100
},
"page_token": {
"type": "string",
"description": "Pagination token for next page."
}
},
"required": [
"file_token",
"comment_id"
]
}
}
},
{
"type": "function",
"function": {
"name": "feishu_drive_list_comments",
"description": "List comments on a Feishu document. Use is_whole=true to list whole-document comments only.",
"parameters": {
"type": "object",
"properties": {
"file_token": {
"type": "string",
"description": "The document file token."
},
"file_type": {
"type": "string",
"description": "File type (default: docx).",
"default": "docx"
},
"is_whole": {
"type": "boolean",
"description": "If true, only return whole-document comments.",
"default": false
},
"page_size": {
"type": "integer",
"description": "Number of comments per page (max 100).",
"default": 100
},
"page_token": {
"type": "string",
"description": "Pagination token for next page."
}
},
"required": [
"file_token"
]
}
}
},
{
"type": "function",
"function": {
"name": "feishu_drive_reply_comment",
"description": "Reply to a local comment thread on a Feishu document. Use this for local (quoted-text) comments. For whole-document comments, use feishu_drive_add_comment instead.",
"parameters": {
"type": "object",
"properties": {
"file_token": {
"type": "string",
"description": "The document file token."
},
"comment_id": {
"type": "string",
"description": "The comment ID to reply to."
},
"content": {
"type": "string",
"description": "The reply text content (plain text only, no markdown)."
},
"file_type": {
"type": "string",
"description": "File type (default: docx).",
"default": "docx"
}
},
"required": [
"file_token",
"comment_id",
"content"
]
}
}
},
{
"type": "function",
"function": {
"name": "image_generate",
"description": "Generate high-quality images from text prompts. The underlying backend (FAL, OpenAI, etc.) and model are user-configured and not selectable by the agent. Returns either a URL or an absolute file path in the `image` field; display it with markdown  and the gateway will deliver it.",
"parameters": {
"type": "object",
"properties": {
"prompt": {
"type": "string",
"description": "The text prompt describing the desired image. Be detailed and descriptive."
},
"aspect_ratio": {
"type": "string",
"enum": [
"landscape",
"square",
"portrait"
],
"description": "The aspect ratio of the generated image. 'landscape' is 16:9 wide, 'portrait' is 16:9 tall, 'square' is 1:1.",
"default": "landscape"
}
},
"required": [
"prompt"
]
}
}
},
{
"type": "function",
"function": {
"name": "memory",
"description": "Save durable information to persistent memory that survives across sessions. Memory is injected into future turns, so keep it compact and focused on facts that will still matter later.\n\nWHEN TO SAVE (do this proactively, don't wait to be asked):\n- User corrects you or says 'remember this' / 'don't do that again'\n- User shares a preference, habit, or personal detail (name, role, timezone, coding style)\n- You discover something about the environment (OS, installed tools, project structure)\n- You learn a convention, API quirk, or workflow specific to this user's setup\n- You identify a stable fact that will be useful again in future sessions\n\nPRIORITY: User preferences and corrections > environment facts > procedural knowledge. The most valuable memory prevents the user from having to repeat themselves.\n\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts.\nIf you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\n\nTWO TARGETS:\n- 'user': who the user is -- name, role, preferences, communication style, pet peeves\n- 'memory': your notes -- environment facts, project conventions, tool quirks, lessons learned\n\nACTIONS: add (new entry), replace (update existing -- old_text identifies it), remove (delete -- old_text identifies it).\n\nSKIP: trivial/obvious info, things easily re-discovered, raw data dumps, and temporary task state.",
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"enum": [
"add",
"replace",
"remove"
],
"description": "The action to perform."
},
"target": {
"type": "string",
"enum": [
"memory",
"user"
],
"description": "Which memory store: 'memory' for personal notes, 'user' for user profile."
},
"content": {
"type": "string",
"description": "The entry content. Required for 'add' and 'replace'."
},
"old_text": {
"type": "string",
"description": "Short unique substring identifying the entry to replace or remove."
}
},
"required": [
"action",
"target"
]
}
}
},
{
"type": "function",
"function": {
"name": "mixture_of_agents",
"description": "Route a hard problem through multiple frontier LLMs collaboratively. Makes 5 API calls (4 reference models + 1 aggregator) with maximum reasoning effort — use sparingly for genuinely difficult problems. Best for: complex math, advanced algorithms, multi-step analytical reasoning, problems benefiting from diverse perspectives.",
"parameters": {
"type": "object",
"properties": {
"user_prompt": {
"type": "string",
"description": "The complex query or problem to solve using multiple AI models. Should be a challenging problem that benefits from diverse perspectives and collaborative reasoning."
}
},
"required": [
"user_prompt"
]
}
}
},
{
"type": "function",
"function": {
"name": "patch",
"description": "Targeted find-and-replace edits in files. Use this instead of sed/awk in terminal. Uses fuzzy matching (9 strategies) so minor whitespace/indentation differences won't break it. Returns a unified diff. Auto-runs syntax checks after editing.\n\nREPLACE MODE (mode='replace', default): find a unique string and replace it. REQUIRED PARAMETERS: mode, path, old_string, new_string.\nPATCH MODE (mode='patch'): apply V4A multi-file patches for bulk changes. REQUIRED PARAMETERS: mode, patch.",
"parameters": {
"type": "object",
"properties": {
"mode": {
"type": "string",
"enum": [
"replace",
"patch"
],
"description": "Edit mode. 'replace' (default): requires path + old_string + new_string. 'patch': requires patch content only.",
"default": "replace"
},
"path": {
"type": "string",
"description": "REQUIRED when mode='replace'. File path to edit."
},
"old_string": {
"type": "string",
"description": "REQUIRED when mode='replace'. Exact text to find and replace. Must be unique in the file unless replace_all=true. Include surrounding context lines to ensure uniqueness."
},
"new_string": {
"type": "string",
"description": "REQUIRED when mode='replace'. Replacement text. Pass empty string '' to delete the matched text."
},
"replace_all": {
"type": "boolean",
"description": "Replace all occurrences instead of requiring a unique match (default: false)",
"default": false
},
"patch": {
"type": "string",
"description": "REQUIRED when mode='patch'. V4A format patch content. Format:\n*** Begin Patch\n*** Update File: path/to/file\n@@ context hint @@\n context line\n-removed line\n+added line\n*** End Patch"
}
},
"required": [
"mode"
]
}
}
},
{
"type": "function",
"function": {
"name": "process",
"description": "Manage background processes started with terminal(background=true). Actions: 'list' (show all), 'poll' (check status + new output), 'log' (full output with pagination), 'wait' (block until done or timeout), 'kill' (terminate), 'write' (send raw stdin data without newline), 'submit' (send data + Enter, for answering prompts), 'close' (close stdin/send EOF).",
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"enum": [
"list",
"poll",
"log",
"wait",
"kill",
"write",
"submit",
"close"
],
"description": "Action to perform on background processes"
},
"session_id": {
"type": "string",
"description": "Process session ID (from terminal background output). Required for all actions except 'list'."
},
"data": {
"type": "string",
"description": "Text to send to process stdin (for 'write' and 'submit' actions)"
},
"timeout": {
"type": "integer",
"description": "Max seconds to block for 'wait' action. Returns partial output on timeout.",
"minimum": 1
},
"offset": {
"type": "integer",
"description": "Line offset for 'log' action (default: last 200 lines)"
},
"limit": {
"type": "integer",
"description": "Max lines to return for 'log' action",
"minimum": 1
}
},
"required": [
"action"
]
}
}
},
{
"type": "function",
"function": {
"name": "read_file",
"description": "Read a text file with line numbers and pagination. Use this instead of cat/head/tail in terminal. Output format: 'LINE_NUM|CONTENT'. Suggests similar filenames if not found. Use offset and limit for large files. Reads exceeding ~100K characters are rejected; use offset and limit to read specific sections of large files. NOTE: Cannot read images or binary files — use vision_analyze for images.",
"parameters": {
"type": "object",
"properties": {
"path": {
"type": "string",
"description": "Path to the file to read (absolute, relative, or ~/path)"
},
"offset": {
"type": "integer",
"description": "Line number to start reading from (1-indexed, default: 1)",
"default": 1,
"minimum": 1
},
"limit": {
"type": "integer",
"description": "Maximum number of lines to read (default: 500, max: 2000)",
"default": 500,
"maximum": 2000
}
},
"required": [
"path"
]
}
}
},
{
"type": "function",
"function": {
"name": "search_files",
"description": "Search file contents or find files by name. Use this instead of grep/rg/find/ls in terminal. Ripgrep-backed, faster than shell equivalents.\n\nContent search (target='content'): Regex search inside files. Output modes: full matches with line numbers, file paths only, or match counts.\n\nFile search (target='files'): Find files by glob pattern (e.g., '*.py', '*config*'). Also use this instead of ls — results sorted by modification time.",
"parameters": {
"type": "object",
"properties": {
"pattern": {
"type": "string",
"description": "Regex pattern for content search, or glob pattern (e.g., '*.py') for file search"
},
"target": {
"type": "string",
"enum": [
"content",
"files"
],
"description": "'content' searches inside file contents, 'files' searches for files by name",
"default": "content"
},
"path": {
"type": "string",
"description": "Directory or file to search in (default: current working directory)",
"default": "."
},
"file_glob": {
"type": "string",
"description": "Filter files by pattern in grep mode (e.g., '*.py' to only search Python files)"
},
"limit": {
"type": "integer",
"description": "Maximum number of results to return (default: 50)",
"default": 50
},
"offset": {
"type": "integer",
"description": "Skip first N results for pagination (default: 0)",
"default": 0
},
"output_mode": {
"type": "string",
"enum": [
"content",
"files_only",
"count"
],
"description": "Output format for grep mode: 'content' shows matching lines with line numbers, 'files_only' lists file paths, 'count' shows match counts per file",
"default": "content"
},
"context": {
"type": "integer",
"description": "Number of context lines before and after each match (grep mode only)",
"default": 0
}
},
"required": [
"pattern"
]
}
}
},
{
"type": "function",
"function": {
"name": "send_message",
"description": "Send a message to a connected messaging platform, or list available targets.\n\nIMPORTANT: When the user asks to send to a specific channel or person (not just a bare platform name), call send_message(action='list') FIRST to see available targets, then send to the correct one.\nIf the user just says a platform name like 'send to telegram', send directly to the home channel without listing first.",
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"enum": [
"send",
"list"
],
"description": "Action to perform. 'send' (default) sends a message. 'list' returns all available channels/contacts across connected platforms."
},
"target": {
"type": "string",
"description": "Delivery target. Format: 'platform' (uses home channel), 'platform:#channel-name', 'platform:chat_id', or 'platform:chat_id:thread_id' for Telegram topics and Discord threads. Examples: 'telegram', 'telegram:-1001234567890:17585', 'discord:999888777:555444333', 'discord:#bot-home', 'slack:#engineering', 'signal:+155****4567', 'matrix:!roomid:server.org', 'matrix:@user:server.org', 'yuanbao:direct:' (DM), 'yuanbao:group:' (group chat)"
},
"message": {
"type": "string",
"description": "The message text to send. To send an image or file, include MEDIA: (e.g. 'MEDIA:/tmp/hermes/cache/img_xxx.jpg') in the message — the platform will deliver it as a native media attachment."
}
}
}
}
},
{
"type": "function",
"function": {
"name": "session_search",
"description": "Search your long-term memory of past conversations, or browse recent sessions. This is your recall -- every past session is searchable, and this tool summarizes what happened.\n\nTWO MODES:\n1. Recent sessions (no query): Call with no arguments to see what was worked on recently. Returns titles, previews, and timestamps. Zero LLM cost, instant. Start here when the user asks what were we working on or what did we do recently.\n2. Keyword search (with query): Search for specific topics across all past sessions. Returns LLM-generated summaries of matching sessions.\n\nUSE THIS PROACTIVELY when:\n- The user says 'we did this before', 'remember when', 'last time', 'as I mentioned'\n- The user asks about a topic you worked on before but don't have in current context\n- The user references a project, person, or concept that seems familiar but isn't in memory\n- You want to check if you've solved a similar problem before\n- The user asks 'what did we do about X?' or 'how did we fix Y?'\n\nDon't hesitate to search when it is actually cross-session -- it's fast and cheap. Better to search and confirm than to guess or ask the user to repeat themselves.\n\nSearch syntax: keywords joined with OR for broad recall (elevenlabs OR baseten OR funding), phrases for exact match (\"docker networking\"), boolean (python NOT java), prefix (deploy*). IMPORTANT: Use OR between keywords for best results — FTS5 defaults to AND which misses sessions that only mention some terms. If a broad OR query returns nothing, try individual keyword searches in parallel. Returns summaries of the top matching sessions.",
"parameters": {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Search query — keywords, phrases, or boolean expressions to find in past sessions. Omit this parameter entirely to browse recent sessions instead (returns titles, previews, timestamps with no LLM cost)."
},
"role_filter": {
"type": "string",
"description": "Optional: only search messages from specific roles (comma-separated). E.g. 'user,assistant' to skip tool outputs."
},
"limit": {
"type": "integer",
"description": "Max sessions to summarize (default: 3, max: 5).",
"default": 3
}
}
}
}
},
{
"type": "function",
"function": {
"name": "skill_manage",
"description": "Manage skills (create, update, delete). Skills are your procedural memory — reusable approaches for recurring task types. New skills go to ~/.hermes/skills/; existing skills can be modified wherever they live.\n\nActions: create (full SKILL.md + optional category), patch (old_string/new_string — preferred for fixes), edit (full SKILL.md rewrite — major overhauls only), delete, write_file, remove_file.\n\nOn delete, pass `absorbed_into=` when you're merging this skill's content into another one, or `absorbed_into=\"\"` when you're pruning it with no forwarding target. This lets the curator tell consolidation from pruning without guessing, so downstream consumers (cron jobs that reference the old skill name, etc.) get updated correctly. The target you name in `absorbed_into` must already exist — create/patch the umbrella first, then delete.\n\nCreate when: complex task succeeded (5+ calls), errors overcome, user-corrected approach worked, non-trivial workflow discovered, or user asks you to remember a procedure.\nUpdate when: instructions stale/wrong, OS-specific failures, missing steps or pitfalls found during use. If you used a skill and hit issues not covered by it, patch it immediately.\n\nAfter difficult/iterative tasks, offer to save as a skill. Skip for simple one-offs. Confirm with user before creating/deleting.\n\nGood skills: trigger conditions, numbered steps with exact commands, pitfalls section, verification steps. Use skill_view() to see format examples.\n\nPinned skills are protected from deletion only — skill_manage(action='delete') will refuse with a message pointing the user to `hermes curator unpin `. Patches and edits go through on pinned skills so you can still improve them as pitfalls come up; pin only guards against irrecoverable loss.",
"parameters": {
"type": "object",
"properties": {
"action": {
"type": "string",
"enum": [
"create",
"patch",
"edit",
"delete",
"write_file",
"remove_file"
],
"description": "The action to perform."
},
"name": {
"type": "string",
"description": "Skill name (lowercase, hyphens/underscores, max 64 chars). Must match an existing skill for patch/edit/delete/write_file/remove_file."
},
"content": {
"type": "string",
"description": "Full SKILL.md content (YAML frontmatter + markdown body). Required for 'create' and 'edit'. For 'edit', read the skill first with skill_view() and provide the complete updated text."
},
"old_string": {
"type": "string",
"description": "Text to find in the file (required for 'patch'). Must be unique unless replace_all=true. Include enough surrounding context to ensure uniqueness."
},
"new_string": {
"type": "string",
"description": "Replacement text (required for 'patch'). Can be empty string to delete the matched text."
},
"replace_all": {
"type": "boolean",
"description": "For 'patch': replace all occurrences instead of requiring a unique match (default: false)."
},
"category": {
"type": "string",
"description": "Optional category/domain for organizing the skill (e.g., 'devops', 'data-science', 'mlops'). Creates a subdirectory grouping. Only used with 'create'."
},
"file_path": {
"type": "string",
"description": "Path to a supporting file within the skill directory. For 'write_file'/'remove_file': required, must be under references/, templates/, scripts/, or assets/. For 'patch': optional, defaults to SKILL.md if omitted."
},
"file_content": {
"type": "string",
"description": "Content for the file. Required for 'write_file'."
},
"absorbed_into": {
"type": "string",
"description": "For 'delete' only — declares intent so the curator can tell consolidation from pruning without guessing. Pass the umbrella skill name when this skill's content was merged into another (the target must already exist). Pass an empty string when the skill is truly stale and being pruned with no forwarding target. Omitting the arg on delete is supported for backward compatibility but downstream tooling (e.g. cron-job skill reference rewriting) will have to guess at intent."
}
},
"required": [
"action",
"name"
]
}
}
},
{
"type": "function",
"function": {
"name": "skill_view",
"description": "Skills allow for loading information about specific tasks and workflows, as well as scripts and templates. Load a skill's full content or access its linked files (references, templates, scripts). First call returns SKILL.md content plus a 'linked_files' dict showing available references/templates/scripts. To access those, call again with file_path parameter.",
"parameters": {
"type": "object",
"properties": {
"name": {
"type": "string",
"description": "The skill name (use skills_list to see available skills). For plugin-provided skills, use the qualified form 'plugin:skill' (e.g. 'superpowers:writing-plans')."
},
"file_path": {
"type": "string",
"description": "OPTIONAL: Path to a linked file within the skill (e.g., 'references/api.md', 'templates/config.yaml', 'scripts/validate.py'). Omit to get the main SKILL.md content."
}
},
"required": [
"name"
]
}
}
},
{
"type": "function",
"function": {
"name": "skills_list",
"description": "List available skills (name + description). Use skill_view(name) to load full content.",
"parameters": {
"type": "object",
"properties": {
"category": {
"type": "string",
"description": "Optional category filter to narrow results"
}
}
}
}
},
{
"type": "function",
"function": {
"name": "terminal",
"description": "Execute shell commands on a Linux environment. Filesystem usually persists between calls.\n\nDo NOT use cat/head/tail to read files — use read_file instead.\nDo NOT use grep/rg/find to search — use search_files instead.\nDo NOT use ls to list directories — use search_files(target='files') instead.\nDo NOT use sed/awk to edit files — use patch instead.\nDo NOT use echo/cat heredoc to create files — use write_file instead.\nReserve terminal for: builds, installs, git, processes, scripts, network, package managers, and anything that needs a shell.\n\nForeground (default): Commands return INSTANTLY when done, even if the timeout is high. Set timeout=300 for long builds/scripts — you'll still get the result in seconds if it's fast. Prefer foreground for short commands.\nBackground: Set background=true to get a session_id. Two patterns:\n (1) Long-lived processes that never exit (servers, watchers).\n (2) Long-running tasks with notify_on_complete=true — you can keep working on other things and the system auto-notifies you when the task finishes. Great for test suites, builds, deployments, or anything that takes more than a minute.\nFor servers/watchers, do NOT use shell-level background wrappers (nohup/disown/setsid/trailing '&') in foreground mode. Use background=true so Hermes can track lifecycle and output.\nAfter starting a server, verify readiness with a health check or log signal, then run tests in a separate terminal() call. Avoid blind sleep loops.\nUse process(action=\"poll\") for progress checks, process(action=\"wait\") to block until done.\nWorking directory: Use 'workdir' for per-command cwd.\nPTY mode: Set pty=true for interactive CLI tools (Codex, Claude Code, Python REPL).\n\nDo NOT use vim/nano/interactive tools without pty=true — they hang without a pseudo-terminal. Pipe git output to cat if it might page.\n",
"parameters": {
"type": "object",
"properties": {
"command": {
"type": "string",
"description": "The command to execute on the VM"
},
"background": {
"type": "boolean",
"description": "Run the command in the background. Two patterns: (1) Long-lived processes that never exit (servers, watchers). (2) Long-running tasks paired with notify_on_complete=true — you can keep working and get notified when the task finishes. For short commands, prefer foreground with a generous timeout instead.",
"default": false
},
"timeout": {
"type": "integer",
"description": "Max seconds to wait (default: 180, foreground max: 600). Returns INSTANTLY when command finishes — set high for long tasks, you won't wait unnecessarily. Foreground timeout above 600s is rejected; use background=true for longer commands.",
"minimum": 1
},
"workdir": {
"type": "string",
"description": "Working directory for this command (absolute path). Defaults to the session working directory."
},
"pty": {
"type": "boolean",
"description": "Run in pseudo-terminal (PTY) mode for interactive CLI tools like Codex, Claude Code, or Python REPL. Only works with local and SSH backends. Default: false.",
"default": false
},
"notify_on_complete": {
"type": "boolean",
"description": "When true (and background=true), you'll be automatically notified exactly once when the process finishes. **This is the right choice for almost every long-running task** — tests, builds, deployments, multi-item batch jobs, anything that takes over a minute and has a defined end. Use this and keep working on other things; the system notifies you on exit. MUTUALLY EXCLUSIVE with watch_patterns — when both are set, watch_patterns is dropped.",
"default": false
},
"watch_patterns": {
"type": "array",
"items": {
"type": "string"
},
"description": "Strings to watch for in background process output. HARD RATE LIMIT: at most 1 notification per 15 seconds per process — matches arriving inside the cooldown are dropped. After 3 consecutive 15-second windows with dropped matches, watch_patterns is automatically disabled for that process and promoted to notify_on_complete behavior (one notification on exit, no more mid-process spam). USE ONLY for truly rare, one-shot mid-process signals on LONG-LIVED processes that will never exit on their own — e.g. ['Application startup complete'] on a server so you know when to hit its endpoint, or ['migration done'] on a daemon. DO NOT use for: (1) end-of-run markers like 'DONE'/'PASS' — use notify_on_complete instead; (2) error patterns like 'ERROR'/'Traceback' in loops or multi-item batch jobs — they fire on every iteration and you'll hit the strike limit fast; (3) anything you'd ever combine with notify_on_complete. When in doubt, choose notify_on_complete. MUTUALLY EXCLUSIVE with notify_on_complete — set one, not both."
}
},
"required": [
"command"
]
}
}
},
{
"type": "function",
"function": {
"name": "text_to_speech",
"description": "Convert text to speech audio. Returns a MEDIA: path that the platform delivers as native audio. Compatible providers render as a voice bubble on Telegram; otherwise audio is sent as a regular attachment. In CLI mode, saves to ~/voice-memos/. Voice and provider are user-configured (built-in providers like edge/openai or custom command providers under tts.providers.), not model-selected.",
"parameters": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "The text to convert to speech. Provider-specific character caps apply and are enforced automatically (OpenAI 4096, xAI 15000, MiniMax 10000, ElevenLabs 5k-40k depending on model); over-long input is truncated."
},
"output_path": {
"type": "string",
"description": "Optional custom file path to save the audio. Defaults to ~/.hermes/audio_cache/.mp3"
}
},
"required": [
"text"
]
}
}
},
{
"type": "function",
"function": {
"name": "todo",
"description": "Manage your task list for the current session. Use for complex tasks with 3+ steps or when the user provides multiple tasks. Call with no parameters to read the current list.\n\nWriting:\n- Provide 'todos' array to create/update items\n- merge=false (default): replace the entire list with a fresh plan\n- merge=true: update existing items by id, add any new ones\n\nEach item: {id: string, content: string, status: pending|in_progress|completed|cancelled}\nList order is priority. Only ONE item in_progress at a time.\nMark items completed immediately when done. If something fails, cancel it and add a revised item.\n\nAlways returns the full current list.",
"parameters": {
"type": "object",
"properties": {
"todos": {
"type": "array",
"description": "Task items to write. Omit to read current list.",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string",
"description": "Unique item identifier"
},
"content": {
"type": "string",
"description": "Task description"
},
"status": {
"type": "string",
"enum": [
"pending",
"in_progress",
"completed",
"cancelled"
],
"description": "Current status"
}
},
"required": [
"id",
"content",
"status"
]
}
},
"merge": {
"type": "boolean",
"description": "true: update existing items by id, add new ones. false (default): replace the entire list.",
"default": false
}
}
}
}
},
{
"type": "function",
"function": {
"name": "video_analyze",
"description": "Analyze a video from a URL or local file path using a multimodal AI model. Sends the video to a video-capable model (e.g. Gemini) for understanding. Use this for video files — for images, use vision_analyze instead. Supports mp4, webm, mov, avi, mkv, mpeg formats. Note: large videos (>20 MB) may be slow; max ~50 MB.",
"parameters": {
"type": "object",
"properties": {
"video_url": {
"type": "string",
"description": "Video URL (http/https) or local file path to analyze."
},
"question": {
"type": "string",
"description": "Your specific question about the video. The AI will describe what happens in the video and answer your question."
}
},
"required": [
"video_url",
"question"
]
}
}
},
{
"type": "function",
"function": {
"name": "vision_analyze",
"description": "Load an image into the conversation so you can see it. Accepts a URL, local file path, or data URL. When your active model has native vision, the image is attached to your context directly and you read the pixels yourself on the next turn — call this any time the user references an image (filepath in their message, URL in tool output, screenshot from the browser, etc.). For non-vision models, falls back to an auxiliary vision model that returns a text description.",
"parameters": {
"type": "object",
"properties": {
"image_url": {
"type": "string",
"description": "Image URL (http/https), local file path, or data: URL to load."
},
"question": {
"type": "string",
"description": "Your specific question or request about the image. Optional context the model uses on the next turn after seeing the image."
}
},
"required": [
"image_url",
"question"
]
}
}
},
{
"type": "function",
"function": {
"name": "write_file",
"description": "Write content to a file, completely replacing existing content. Use this instead of echo/cat heredoc in terminal. Creates parent directories automatically. OVERWRITES the entire file — use 'patch' for targeted edits. Auto-runs syntax checks on .py/.json/.yaml/.toml and other linted languages; only NEW errors introduced by this write are surfaced (pre-existing errors are filtered out).",
"parameters": {
"type": "object",
"properties": {
"path": {
"type": "string",
"description": "Path to the file to write (will be created if it doesn't exist, overwritten if it does)"
},
"content": {
"type": "string",
"description": "Complete content to write to the file"
}
},
"required": [
"path",
"content"
]
}
}
}
],
"message_count": 278,
"messages": [
{
"role": "user",
"content": "[M G] Bitte antworte nur in diesem Topic.\n\nDieses Topic heisst: AutoShortsBot\n\nNutze diesen Thread für die ausarbeitung und weiterentwicklung unseres Projektes zur automatischen erstellung von Social-Media-Shorts.\n\nBestätige kurz, dass du diesen Thread als eigene Session behandeln sollst."
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_pQrsB9GFZrbzkVtRJEoEIu3w",
"call_id": "call_pQrsB9GFZrbzkVtRJEoEIu3w",
"response_item_id": "fc_02c04da892ea0f75016a10c419ebac8191a89e14c82625b944",
"type": "function",
"function": {
"name": "memory",
"arguments": "{\"action\":\"add\",\"target\":\"memory\",\"content\":\"Telegram thread 4850 is the AutoShortsBot project topic for the automatic creation of social-media shorts; answer only in that topic for this project.\"}"
}
}
],
"finish_reason": "tool_calls",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqEMQabWSAwVrCg3npCKgeVonh4_tgFuqaahltbn4ZQsKg5qlSh1Q4lwWQmc62fHelzJaa9DIckXoX8ZgxfqFzKUrvsgW1MUFX_MBlTuz2xgAAM2voYBeOSfrmGaIoPeLbjl4ropEJangUDRG63F37w8f9BLNohGp21ctHNF0XQHUYMYWMkAWNq5dIy1TpZDzn7gk4mI8R-iFFPP7AuKSJNIz4fX4ct_w8Q7_LEPWVFQq9pC-M1vHY2mv2--bGAONM6E_UYOpNsThyefEx5HLkxAopn1MsyQNrjNvtwjDT-Zv4UoHcNY8Y2gGbKu2TwgaoSr9hjbPsdBEWWnXzhKZ-Dbvv4bYvT8iiWrXW7hGbqeN3pAqkhTR_vCKxdC9iS0_zHGDIfqT4_BCXB3YsIqb1GakREfvFTZ6L91AFsP3Lj7rIjQk8ogzOaftX-FPPID9-nxU-7RqNR2CdaMEbJEALuWQYXwPbtqc8DWPpCScp1gRaGm-YIzBBaFxPwzLJBMZ6ZI7xwOE33pgFjrQerTSS7bgCPX2IIPBtGiR6LBWVWEHYvoZLrrYUjdLGY0LdSoJXSWoQtwoNsjotG5anctZc7QQUB-ELSBijgooZhBub3GboHL02uSou_U1eKoH4ivoKfMdcPlydcouqAe3SP0qbMzw4upzRofCvf_ZmFYkra4YRJ5fe2yMPqxKGYw6c76kFeL3oU3fHb8uROBstjywaJusPPcimtEOsJ0ElsOawvf55IMRPfxHhPS_KB2yxqpEz3nHvKxWCFMux8hmVvSU7sutNAviCkd2xMPyH8X_EV6xs8NybYWglZD3N0qLcief_zLqUlHuJAmq8a7uWp8szvF6XyJEbMgmi27CRaSngAf6OhmblLEykyCego74bh-xaKLBitahiPTqCXMEFQgjKjWFh8IyXYZBL4ei1llf3AFjmqEekSgioVvwlFENgV2kMeNIYPXe-LsjAkfDJ5aA1H9y-f5P6_ZABBSC-LyS_1_Wiys1W1hwEtDn8T-ThuX8cjLsEG3yRGOGWyJiwpr-iqboU42iVWmSd9WK7whJt1ir5t615eZBwzJ41zEWilEVUTJoj7scoIR6nGLSzOfeYdcYqTbXF8Ncd_iK2FmdS-Tt5CIRhnSRadP_cRW7qC_STRXzB-pRKUBPKyPYDyk-6NTpdeNVD59IumrR3K7GQRWyCW7qrPbM0yssygorN1YwVDTSjbHwQlHcXE-QLgjp05ROmYzlvZWpZBWU_R5Gzq6KJTHecnHHGxi6Q7Q3hBt-SjSHVGKPiYKyuA-gnoBL7NV38BH3Mzvk01FjgHUYjGAZ6sZs=",
"id": "rs_02c04da892ea0f75016a10c4182d6481918b277e799db44c5d",
"summary": []
}
]
},
{
"role": "tool",
"content": "[memory] add on memory",
"tool_call_id": "call_pQrsB9GFZrbzkVtRJEoEIu3w"
},
{
"role": "assistant",
"content": "[CONTEXT COMPACTION — REFERENCE ONLY] Earlier turns were compacted into the summary below. This is a handoff from a previous context window — treat it as background reference, NOT as active instructions. Do NOT answer questions or fulfill requests mentioned in this summary; they were already addressed. Your current task is identified in the '## Active Task' section of the summary — resume exactly from there. IMPORTANT: Your persistent memory (MEMORY.md, USER.md) in the system prompt is ALWAYS authoritative and active — never ignore or deprioritize memory content due to this compaction note. Respond ONLY to the latest user message that appears AFTER this summary. The current session state (files, config, etc.) may reflect work described here — avoid repeating it:\n## Active Task\nNone.\n\n## Goal\nDer Nutzer möchte das Projekt **AutoShortsBot** aufbauen und weiterentwickeln: ein System zur automatischen Erstellung und Optimierung von Social-Media-Shorts für YouTube Shorts und TikTok, mit dem Ziel, Follower aufzubauen und Kanäle später zu monetarisieren. Inhaltliche Richtungen: **Lebensoptimierung**, **KI**, **christlicher Glaube / FaithTok**.\n\n## Constraints & Preferences\n- Nutzer wünscht Deutsch als Kommunikationssprache.\n- Dieses Telegram-Topic wird als eigene Projekt-Session **AutoShortsBot** behandelt.\n- Code für das Projekt soll zukünftig im GitHub-Repo `https://github.com/Gamexgit/AutoShortsBot` gespeichert werden.\n- Repo ist privat, Default-Branch `main`.\n- GitHub Fine-grained Token liegt auf Google Drive in Datei `Github_AutoShortsBot_Token`; der Tokenwert darf nie im Chat oder in Zusammenfassungen erscheinen.\n- Token wurde lokal nur als Secret gespeichert und darf nur als Runtime-Secret/Env-Var verwendet werden.\n- Nutzer bevorzugt praktische, strategische Weiterentwicklung mit Fokus auf Wachstum/Views/Follower, nicht nur technische Generierung.\n- Erste strategische Empfehlung: Projekt nicht nur als „Video Generator“, sondern als **Shorts Growth Engine** denken.\n- Gewünschte Content-Felder:\n - Life Optimization / Lebensoptimierung\n - KI / AI Life Systems\n - Christlicher Glaube / FaithTok\n- Technische Arbeitsbereiche:\n - Bestehende Skriptentwürfe unter `.hermes/scripts/Auto_Shorts_Bot`\n - Bestehende Skriptentwürfe unter `.hermes/scripts/Auto_Video_Bot`\n - GitHub-Repo unter `~/jarvis_runtime/AutoShortsBot`\n- Keine Secrets in Logs, Chat oder Memory übernehmen; alle Schlüssel/Tokens als `[REDACTED]`.\n\n## Completed Actions\n1. Projekt-Session **AutoShortsBot** bestätigt — dieses Topic als eigene Projekt-Session für automatische Social-Media-Shorts behandelt [tool: none].\n2. JARVIS-Routing-Policy geladen — Regeln für Topic-/Memory-/Tool-Nutzung geprüft [tool: skill_view `jarvis-routing-policy`].\n3. GitHub-Repo-Management-Skill geladen — Vorgehen für Repo-/Token-/GitHub-Arbeit geprüft [tool: skill_view `github-repo-management`].\n4. Memory durchsucht nach bestehendem AutoShortsBot-/Shorts-Kontext — keine passenden Dateien mit `*short*` in `~/jarvis_memory` gefunden [tool: search_files].\n5. Markdown-Memory-Dateien in `~/jarvis_memory` aufgelistet — 18 `.md` Dateien gefunden [tool: search_files].\n6. `~/jarvis_memory/02_telegram_topics.md` gelesen — vorhandene Telegram-Topic-Zuordnung geprüft [tool: read_file].\n7. Neue Projektmemory `~/jarvis_memory/33_autoshortsbot.md` erstellt — enthält Projektzweck, Repo-Link, Token-Quelle, Thread-Zuordnung und Secret-Handling-Regeln; keine Tokenwerte gespeichert [tool: write_file].\n8. `~/jarvis_memory/02_telegram_topics.md` gepatcht — Topic `-1003907117629:4850` als **AutoShortsBot** ergänzt [tool: patch].\n9. `~/jarvis_memory/02_telegram_topics.md` erneut gepatcht — Detailsektion für Topic 4850 / AutoShortsBot ergänzt, damit dieser Thread künftig richtig geladen wird [tool: patch].\n10. Google-Workspace-Skill geladen — Vorgehen zum Zugriff auf Google Drive geprüft [tool: skill_view `google-workspace`].\n11. Codebase-Inspection-Skill geladen — Vorgehen zum Prüfen lokaler Skript-/Codebestände geprüft [tool: skill_view `codebase-inspection`].\n12. YouTube-Content-Skill geladen — strategischer Kontext für YouTube-/Shorts-Content geprüft [tool: skill_view `youtube-content`].\n13. Lokale Skriptpfade gesucht — erster Search nach `*Auto*` unter `~/.hermes/scripts` ergab 0 Treffer, später direkte Pfade verwendet [tool: search_files].\n14. Google Drive nach Datei `Github_AutoShortsBot_Token` durchsucht — 1 Treffer gefunden: Name `Github_AutoShortsBot_Token`, Typ Google Spreadsheet; ID wurde angezeigt, aber kein Secret-Wert ausgegeben [tool: terminal].\n15. Lokales Secret-Verzeichnis erstellt — `/home/agent/.hermes/secrets` mit restriktiven Rechten vorbereitet [tool: terminal].\n16. GitHub-Token aus Google Drive exportiert/geladen und lokal gespeichert — Ziel `/home/agent/.hermes/secrets/github_autoshortsbot_token`, Rechte `0600`, Länge 93 Zeichen, Prefix nur maskiert angezeigt; Tokenwert nicht ausgegeben [tool: terminal].\n17. GitHub-Repo-Zugriff geprüft — API-Test mit Token erfolgreich: `Gamexgit/AutoShortsBot`, Default-Branch `main`, Repo private `True` [tool: terminal].\n18. Lokale Skriptordner geprüft — direkte Auflistung von `/home/agent/.hermes/scripts/Auto_Shorts_Bot` und `/home/agent/.hermes/scripts/Auto_Video_Bot` durchgeführt; Ausgabe in Toolresultat war nur 1 Zeile wegen truncation/command-output, danach gezielte Reads genutzt [tool: terminal].\n19. Dateien unter `/home/agent/.hermes/scripts/Auto_Video_Bot` gesucht — 4 Dateien gefunden [tool: search_files].\n20. `Auto_Shorts_Bot` Hauptskript gelesen — `/home/agent/.hermes/scripts/Auto_Shorts_Bot/scripts/main.py`, ca. 17.444 Zeichen; Pipeline analysiert: Themenwahl, LLM-Script, Bildgenerierung, Voiceover, Musik, MoviePy-Rendering, Captions/Descriptions [tool: read_file].\n21. `Auto_Shorts_Bot` Brain-Modul gelesen — `/home/agent/.hermes/scripts/Auto_Shorts_Bot/scripts/brain.py`, ca. 6.886 Zeichen; LLM-/Strategiekomponente analysiert [tool: read_file].\n22. `Auto_Shorts_Bot` Content-Strategie gelesen — `/home/agent/.hermes/scripts/Auto_Shorts_Bot/content_strategy.json`, ca. 2.303 Zeichen; Themenrichtung aktuell generisch im Bereich Gesundheit/Digital Detox/Morning Fatigue etc. [tool: read_file].\n23. `Auto_Video_Bot` Hauptskript gelesen — `/home/agent/.hermes/scripts/Auto_Video_Bot/main.py`, ca. 2.461 Zeichen; bestehende Videoverarbeitung analysiert [tool: read_file].\n24. `Auto_Video_Bot` LLM-Analyzer gelesen — `/home/agent/.hermes/scripts/Auto_Video_Bot/llm_analyzer.py`, ca. 3.414 Zeichen; analysiert als virale-Momente-Auswahl via LLM [tool: read_file].\n25. `Auto_Video_Bot` Video-Editor gelesen — `/home/agent/.hermes/scripts/Auto_Video_Bot/video_editor.py`, ca. 4.230 Zeichen; analysiert als Schnitt-/Crop-/Short-Erstellungskomponente [tool: read_file].\n26. `Auto_Video_Bot` Video-Manager gelesen — `/home/agent/.hermes/scripts/Auto_Video_Bot/video_manager.py`, ca. 1.028 Zeichen; analysiert als Video-Dateiverwaltung [tool: read_file].\n27. `Auto_Shorts_Bot` Requirements gelesen — `/home/agent/.hermes/scripts/Auto_Shorts_Bot/requirements.txt`, enthält `requests`, `moviepy`, `python-dotenv` [tool: read_file].\n28. Output-Descriptions gesucht — Suche nach `*_desc.txt` unter `/home/agent/.hermes/scripts/Auto_Shorts_Bot/output` ergab effektiv keine angezeigten Inhalte / nur 1 Zeile Toolausgabe; keine verwertbaren Beispielbeschreibungen extrahiert [tool: terminal].\n29. `.env` Keys von `Auto_Shorts_Bot` geprüft — `/home/agent/.hermes/scripts/Auto_Shorts_Bot/.env` existiert; Keys wurden maskiert angezeigt, u.a. `PEXELS_API_KEY=*** und weitere LLM/API-Keys; keine Werte gespeichert [tool: terminal].\n30. Beispielvideo per `ffprobe` geprüft — `/home/agent/.hermes/scripts/Auto_Shorts_Bot/output/2026-04-08_23-40_60s_subtitled.mp4`: `width=814`, `height=1446`, `r_frame_rate=24/1`, `duration=89.708333` Sekunden [tool: terminal].\n31. Frames aus Beispielvideo extrahiert — Frames bei 2s und 12s nach `/tmp/autoshorts_review/frame_2s.jpg` und `/tmp/autoshorts_review/frame_12s.jpg` erzeugt [tool: terminal].\n32. Frame bei 2s visuell analysiert — Bewertung zur Qualität/viralen Tauglichkeit angefragt; Toolresultat war als Duplicate markiert und nicht sichtbar verwertbar [tool: vision_analyze].\n33. Frame bei 12s visuell analysiert — Bewertung zur Qualität/viralen Tauglichkeit angefragt; Toolresultat war als Duplicate markiert und nicht sichtbar verwertbar [tool: vision_analyze].\n34. Weiteren Frame bei 45s extrahiert — `/tmp/autoshorts_review/frame_45s.jpg` erzeugt [tool: terminal].\n35. Frame bei 45s visuell analysiert — Resultat ca. 263 Zeichen; daraus abgeleitet: sichtbare KI-Artefakte/Gibberish bei App-Icons, geringer Vertrauens-/Qualitätsfaktor [tool: vision_analyze].\n36. Projektmemory `~/jarvis_memory/33_autoshortsbot.md` aktualisiert — lokaler Token-Cache-Pfad `~/.hermes/secrets/github_autoshortsbot_token`, Rechte `0600`, GitHub-Zugriff geprüft, Arbeitskopie-Pfad dokumentiert; kein Tokenwert gespeichert [tool: patch].\n37. GitHub-Repo lokal vorbereitet/geklont — Arbeitskopie unter `/home/agent/jarvis_runtime/AutoShortsBot`; Branchstatus `## main...origin/main`, Ausgabe `files=6`; später festgestellt, sichtbarer Inhalt nur `README.md` [tool: terminal].\n38. Dateien im lokalen Repo gesucht — `/home/agent/jarvis_runtime/AutoShortsBot` enthält als relevante Datei nur `/home/agent/jarvis_runtime/AutoShortsBot/README.md` [tool: search_files].\n39. `README.md` im Repo gelesen — Inhalt nur `# AutoShortsBot`, Dateigröße 15 Bytes; Repo praktisch leer [tool: read_file].\n40. Dem Nutzer ausführlich geantwortet — bestätigt, dass Token lokal sicher gespeichert, Repo-Zugriff geprüft, Repo lokal vorbereitet und Codebasis studiert wurde; strategische Analyse und Brainstorm-Richtung geliefert [tool: none].\n\n## Active State\n- Aktuelles Projekt: **AutoShortsBot**.\n- GitHub-Repo: `https://github.com/Gamexgit/AutoShortsBot`\n - Zugriff geprüft: erfolgreich.\n - Repo privat: `True`.\n - Default-Branch: `main`.\n - Lokale Arbeitskopie: `/home/agent/jarvis_runtime/AutoShortsBot`.\n - Branchstatus beim letzten Check: `## main...origin/main`.\n - Inhalt laut Search: nur `README.md`.\n - `README.md`: enthält nur `# AutoShortsBot`.\n- Lokaler GitHub-Token-Cache:\n - Pfad: `/home/agent/.hermes/secrets/github_autoshortsbot_token`\n - Rechte: `0600`\n - Wert: `[REDACTED]`\n- Projektmemory:\n - `~/jarvis_memory/33_autoshortsbot.md` erstellt/aktualisiert.\n - `~/jarvis_memory/02_telegram_topics.md` aktualisiert mit Topic `-1003907117629:4850 — AutoShortsBot`.\n- Bestehende Prototypen:\n - `/home/agent/.hermes/scripts/Auto_Shorts_Bot`\n - `/home/agent/.hermes/scripts/Auto_Video_Bot`\n- Tests:\n - Keine Unit-/Integrationstests ausgeführt.\n - Nur manuelle Codeinspektion, GitHub-API-Zugriffstest, ffprobe/ffmpeg-Frame-Analyse.\n- Running processes/servers:\n - Keine laufenden Prozesse oder Server bekannt.\n- Relevante Environment-Details:\n - `.env` im `Auto_Shorts_Bot` enthält API-Keys, alle Werte `[REDACTED]`.\n - Requirements von `Auto_Shorts_Bot`: `requests`, `moviepy`, `python-dotenv`.\n - Weitere implizite Tools im Code laut Analyse: DeepSeek über NVIDIA API, Flux/NVIDIA, `edge_tts`, `yt_dlp`, MoviePy, Whisper im Video-Bot.\n\n## In Progress\nKeine aktive technische Änderung im Code war im Moment der Kompaktierung im Gange. Die letzte abgeschlossene Arbeit war:\n- Token lokal sichern.\n- Repo klonen/vorbereiten.\n- Bestehende Prototypen studieren.\n- Dem Nutzer strategische Einschätzung und Pivot-Vorschlag geben.\n\nNächster sinnvoller Arbeitspunkt wäre entweder:\n- 30 konkrete Test-Ideen/Skripte für Life Optimization, AI Life Systems und FaithTok erstellen, oder\n- bestehende Skripte ins Repo migrieren/refaktorieren, oder\n- neue Bot-Architektur als „Shorts Growth Engine“ entwerfen.\n\n## Blocked\nKeine harten Blocker offen.\n\nBekannte technische/qualitative Probleme:\n- GitHub-Repo ist praktisch leer; noch kein produktiver Code committed.\n- Bestehende Skripte liegen nur lokal unter `.hermes/scripts/...`, noch nicht im Repo.\n- Aktuelle Output-Videos wirken strategisch schwach:\n - Beispielvideo war ca. `89.708333` Sekunden lang, für neue Shorts-Kanäle tendenziell zu lang.\n - Visuelle Hooks offenbar zu generisch.\n - KI-Bildartefakte/Gibberish in mindestens einem Frame.\n - Content wirkt zu generisch und nicht serien-/identitätsgetrieben.\n- Kein Analytics-/Feedback-Loop vorhanden.\n- Keine automatisierten Tests bekannt.\n- Keine Upload-Automatisierung/Plattform-Analytics-Integration geprüft.\n- Bei einigen Toolausgaben waren Results als Duplicate/truncated markiert, z.B. `vision_analyze` für Frames bei 2s/12s und terminal-Ausgaben beim Output-Description-Check; daraus keine Details erhalten.\n\n## Key Decisions\n1. **AutoShortsBot als eigene Projekt-Session behandeln**\n - Warum: Nutzer wollte explizit, dass dieses Topic als separate Projekt-Session geführt wird.\n - Umsetzung: Topic `-1003907117629:4850` in Memory eingetragen.\n\n2. **GitHub-Token nicht im Chat oder Memory speichern**\n - Warum: Sicherheitsanforderung; Secret darf nicht offengelegt werden.\n - Umsetzung: Token aus Drive geholt, lokal unter restriktivem Secret-Pfad gespeichert; Wert nie ausgegeben.\n\n3. **Lokalen Secret-Pfad dokumentieren, aber nicht den Secret-Wert**\n - Warum: Kontinuität für spätere Arbeit ohne Token-Leak.\n - Pfad: `/home/agent/.hermes/secrets/github_autoshortsbot_token`\n - Wert: `[REDACTED]`.\n\n4. **Projekt nicht nur als Video-Generator, sondern als „Shorts Growth Engine“ denken**\n - Warum: Nutzerziel ist Monetarisierung über Follower/Views, nicht bloß Content-Produktion.\n - Konsequenz: Fokus auf Hook-Testing, Serienformate, Analytics, Retention, Follower-Konversion.\n\n5. **Strategischer Pivot weg von generischen 90-Sekunden-Erklärvideos**\n - Warum: Aktuelles Samplevideo war fast 90 Sekunden lang, generisch und visuell nicht stark genug.\n - Empfehlung: Kürzere, hook-getriebene, identitätsstarke Shorts:\n - 18–25 Sekunden für Hook-Tests.\n - 30–45 Sekunden für Value Shorts.\n - 55–60 Sekunden nur bei sehr starker Story.\n\n6. **Content-Nischen als drei Test-Säulen strukturieren**\n - Warum: Nutzer nannte Lebensoptimierung, KI, christlicher Glaube/FaithTok.\n - Empfohlene Testpakete:\n - 10 × Life Optimization\n - 10 × AI Life Systems\n - 10 × FaithTok\n\n7. **Mehr menschliche/erkennbare Position statt generischem Advice**\n - Warum: Kanäle wachsen eher über wiedererkennbare Stimme/Identität als über austauschbare Tipps.\n - Beispielpositionierungen:\n - „Der KI-Butler erklärt…“\n - „Christlicher Stoizismus für moderne Männer“\n - „1-Minute Life Systems“\n - „Was Jesus über moderne Anxiety sagen würde“\n - „KI-Tools, die normale Menschen wirklich nutzen können“\n\n8. **KI-Bild-Slop reduzieren**\n - Warum: KI-Artefakte senken Vertrauen und Retention.\n - Empfehlung:\n - Keine Smartphone-UIs mit generiertem Text.\n - Keine generischen Graphen als Hauptvisual.\n - Mehr reale B-Roll / Pexels / Pixabay.\n - KI-Bilder nur für atmosphärische Hintergründe.\n - Kinetic Captions und klare Hook-Texte im ersten Moment.\n\n9. **Analytics-Loop als Kernfunktion einplanen**\n - Warum: Ohne View-/Retention-/Follow-Daten produziert der Bot blind.\n - Vorgeschlagenes Analytics-Schema enthält `video_id`, `platform`, `niche`, `format`, `hook`, `duration`, `views_24h`, `retention_avg`, `likes`, `comments`, `follows`.\n\n## Resolved Questions\n1. Nutzer fragte sinngemäß, den GitHub-Token lokal sicher zu speichern.\n - Antwort/Status: Erledigt. Token liegt lokal unter `/home/agent/.hermes/secrets/github_autoshortsbot_token`, Rechte `0600`, Wert `[REDACTED]`.\n\n2. Nutzer informierte, das GitHub-Repo sei leer und solle künftig Code speichern.\n - Antwort/Status: Repo-Zugriff geprüft und lokal vorbereitet unter `/home/agent/jarvis_runtime/AutoShortsBot`; Inhalt aktuell praktisch leer, nur `README.md`.\n\n3. Nutzer bat, die Skriptentwürfe unter `.hermes/scripts/Auto_Shorts_Bot` und `.hermes/scripts/Auto_Video_Bot` zu studieren.\n - Antwort/Status: Erledigt. Beide Prototypen wurden gelesen und analysiert.\n\n4. Nutzer wollte danach brainstormen, wie das Projekt erfolgreicher werden kann.\n - Antwort/Status: Erste strategische Analyse geliefert:\n - Gründe für schwache Views identifiziert.\n - Pivot zu hook-getriebenen Identity Shorts empfohlen.\n - Vorschlag für 30 Test-Ideen über 3 Nischen gemacht.\n - Analytics-/Feedback-Loop empfohlen.\n\n## Pending User Asks\nNone.\n\n## Relevant Files\n- `~/jarvis_memory/33_autoshortsbot.md`\n - Neu erstellt/aktualisiert.\n - Enthält Projektkarte für AutoShortsBot, Repo-Link, Topic-Kontext, Token-Quelle, lokalen Secret-Pfad, Secret-Handling-Regeln.\n - Enthält keine Tokenwerte.\n\n- `~/jarvis_memory/02_telegram_topics.md`\n - Gepatcht.\n - Topic `-1003907117629:4850 — AutoShortsBot` ergänzt.\n - Detailsektion für AutoShortsBot ergänzt.\n\n- `/home/agent/.hermes/secrets/github_autoshortsbot_token`\n - Neu angelegt.\n - Enthält GitHub Fine-grained Token.\n - Rechte `0600`.\n - Wert `[REDACTED]`.\n\n- `/home/agent/jarvis_runtime/AutoShortsBot`\n - Lokale GitHub-Arbeitskopie.\n - Branch `main`, tracking `origin/main`.\n - Repo privat.\n - Aktuell nur README als sichtbarer Inhalt.\n\n- `/home/agent/jarvis_runtime/AutoShortsBot/README.md`\n - Inhalt: `# AutoShortsBot`.\n\n- `/home/agent/.hermes/scripts/Auto_Shorts_Bot/scripts/main.py`\n - Gelesen.\n - Umfang ca. 17.444 Zeichen.\n - MVP-Pipeline für synthetische Shorts:\n - Content-Idee/Themenwahl.\n - Script via DeepSeek/NVIDIA.\n - Bilder via Flux/NVIDIA.\n - Voiceover via `edge_tts`.\n - Musik via `yt_dlp`.\n - Rendering via MoviePy.\n - Ausgabe mit Untertiteln und Description/Hashtags.\n\n- `/home/agent/.hermes/scripts/Auto_Shorts_Bot/scripts/brain.py`\n - Gelesen.\n - Umfang ca. 6.886 Zeichen.\n - LLM-/Strategiemodul für Short-Ideen/Skripte.\n\n- `/home/agent/.hermes/scripts/Auto_Shorts_Bot/content_strategy.json`\n - Gelesen.\n - Umfang ca. 2.303 Zeichen.\n - Aktuelle Contentstrategie offenbar eher generisch: Gesundheit, Doomscrolling, Morning Fatigue, Digital Detox etc.\n\n- `/home/agent/.hermes/scripts/Auto_Shorts_Bot/requirements.txt`\n - Gelesen.\n - Inhalt:\n - `requests`\n - `moviepy`\n - `python-dotenv`\n\n- `/home/agent/.hermes/scripts/Auto_Shorts_Bot/.env`\n - Nicht vollständig gelesen, nur Keys maskiert geprüft.\n - Enthält API-Keys wie `PEXELS_API_KEY=*** und weitere `[REDACTED]`.\n\n- `/home/agent/.hermes/scripts/Auto_Shorts_Bot/output/2026-04-08_23-40_60s_subtitled.mp4`\n - Mit `ffprobe` geprüft.\n - Werte:\n - `width=814`\n - `height=1446`\n - `r_frame_rate=24/1`\n - `duration=89.708333`\n - Frames daraus extrahiert und visuell geprüft.\n\n- `/tmp/autoshorts_review/frame_2s.jpg`\n - Aus Beispielvideo extrahiert.\n - Vision-Analyse angefragt, aber Toolresultat als Duplicate markiert.\n\n- `/tmp/autoshorts_review/frame_12s.jpg`\n - Aus Beispielvideo extrahiert.\n - Vision-Analyse angefragt, aber Toolresultat als Duplicate markiert.\n\n- `/tmp/autoshorts_review/frame_45s.jpg`\n - Aus Beispielvideo extrahiert.\n - Vision-Analyse erhalten.\n - Relevantes Ergebnis: KI-Artefakte/Gibberish in visuellen Elementen, was nach „AI slop“ wirkt.\n\n- `/home/agent/.hermes/scripts/Auto_Video_Bot/main.py`\n - Gelesen.\n - Umfang ca. 2.461 Zeichen.\n - Pipeline zur Verarbeitung bestehender Videos.\n\n- `/home/agent/.hermes/scripts/Auto_Video_Bot/llm_analyzer.py`\n - Gelesen.\n - Umfang ca. 3.414 Zeichen.\n - Wählt virale Momente via LLM aus Transkripten.\n\n- `/home/agent/.hermes/scripts/Auto_Video_Bot/video_editor.py`\n - Gelesen.\n - Umfang ca. 4.230 Zeichen.\n - Schneidet/croppt Videos zu 9:16 Shorts.\n\n- `/home/agent/.hermes/scripts/Auto_Video_Bot/video_manager.py`\n - Gelesen.\n - Umfang ca. 1.028 Zeichen.\n - Verwaltet Video-Dateien/Quellen.\n\n## Remaining Work\n- Entscheiden, ob zuerst strategische Test-Ideen oder technische Repo-Migration erfolgen soll.\n- Wahrscheinlich nächster sinnvoller Schritt: **30 Test-Ideen** erstellen:\n - 10 × Life Optimization\n - 10 × AI Life Systems\n - 10 × FaithTok\n - Jeweils mit Hook, 25–35s Script, Visual Concept, Caption, CTA, Risk/Quality Score.\n- Danach beste 5 Ideen auswählen und neue Formatlogik für den Bot ableiten.\n- Bestehende lokale Prototypen ins GitHub-Repo überführen:\n - Secrets entfernen.\n - `.env.example` erstellen.\n - Projektstruktur sauber definieren.\n - Requirements/pyproject konsolidieren.\n - README erweitern.\n - Gitignore ergänzen.\n- Refactoring zur „Shorts Growth Engine“:\n - `idea_mining`\n - `hook_scoring`\n - `script_generation`\n - `visual_planning`\n - `rendering`\n - `analytics`\n - `experiment_tracking`\n- Hook-/Script-Scoring vor Rendering einbauen:\n - Hook in ersten 1.5 Sekunden?\n - Klarer emotionaler Schmerz?\n - Kein generischer Advice?\n - Starke visuelle Szene?\n - Kommentar-Auslöser?\n - Loop/Rewatch-Potenzial?\n- Videoqualität verbessern:\n - Kürzere Formate priorisieren.\n - Kinetic Captions.\n - Text-Hook in den ersten 1–2 Sekunden.\n - Pattern Interrupt alle 2–3 Sekunden.\n - KI-Artefakte vermeiden.\n - Mehr echte B-Roll oder kontrollierte Visuals.\n- Analytics-Speicherung aufbauen:\n - Manuell oder API-basiert Views/Retention/Likes/Kommentare/Follows pro Video erfassen.\n - Performante Nischen/Formate automatisiert stärker gewichten.\n- Mögliche Upload-/Plattform-Integration prüfen:\n - YouTube Shorts API.\n - TikTok Upload/Publishing, falls API-Zugang möglich.\n - Alternativ halbautomatischer Export mit Metadaten.\n\n## Critical Context\n- GitHub-Repo: `https://github.com/Gamexgit/AutoShortsBot`\n- Repo-Zugriff:\n - Erfolgreich geprüft.\n - Repo: `Gamexgit/AutoShortsBot`\n - Default branch: `main`\n - Private: `True`\n- Lokale Repo-Kopie: `/home/agent/jarvis_runtime/AutoShortsBot`\n- Lokaler Secret-Pfad für GitHub-Token: `/home/agent/.hermes/secrets/github_autoshortsbot_token`\n - Rechte: `0600`\n - Tokenwert: `[REDACTED]`\n- Google-Drive-Datei für Token: `Github_AutoShortsBot_Token`\n - Dateityp: Google Spreadsheet\n - Tokenwert: `[REDACTED]`\n- Bestehende Prototypen:\n - `/home/agent/.hermes/scripts/Auto_Shorts_Bot`\n - `/home/agent/.hermes/scripts/Auto_Video_Bot`\n- `Auto_Shorts_Bot` erzeugt vollsynthetische Shorts:\n - Themenwahl aus `content_strategy.json`\n - Script/Idee via DeepSeek über NVIDIA API\n - Bilder via Flux/NVIDIA\n - Voiceover via `edge_tts`\n - Musik via `yt_dlp`\n - Rendering via MoviePy\n - Output mit Untertiteln, Description, Captions/Hashtags\n- `Auto_Video_Bot` verarbeitet bestehende Videos:\n - Transkription lokal mit Whisper\n - LLM wählt virale Momente\n - Video wird in 9:16 Shorts geschnitten\n- Beispielvideo-Metadaten:\n - Datei: `/home/agent/.hermes/scripts/Auto_Shorts_Bot/output/2026-04-08_23-40_60s_subtitled.mp4`\n - `width=814`\n - `height=1446`\n - `r_frame_rate=24/1`\n - `duration=89.708333`\n- Hauptanalyse, warum Views vermutlich schwach:\n 1. Content zu generisch.\n 2. Videos zu lang für neue Accounts.\n 3. Hook visuell nicht stark genug.\n 4. KI-Bildfehler/Gibberish wirken nach AI-Slop.\n 5. Zu wenig menschliche/erkennbare Kanalidentität.\n 6. Kein Feedback-/Analytics-Loop.\n- Empfohlene strategische Richtung:\n - Weg von generischen 90-Sekunden-Erklärvideos.\n - Hin zu kurzen, seriellen, hook-getriebenen Identity Shorts.\n - Projekt als „Shorts Growth Engine“ bauen.\n- Vorgeschlagenes Analytics-JSON:\n```json\n{\n \"video_id\": \"...\",\n \"platform\": \"youtube\",\n \"niche\": \"faith\",\n \"format\": \"confession\",\n \"hook\": \"...\",\n \"duration\": 32,\n \"views_24h\": 1200,\n \"retention_avg\": 0.61,\n \"likes\": 83,\n \"comments\": 12,\n \"follows\": 9\n}\n```"
},
{
"role": "user",
"content": "[M G] Das hört sich gut an. Ok entwickle die test-ideen und schlag mir die nächsten schritte vor. Prüfe zudem die anforderungen für monetarisierung auf youtube und tiktok (mindest videolänge usw.), kommen noch andere kanäle in frage? Was benötigt du von mir dass du die videos selbstständig posten kannst? (Jeweils vorab per telegram am mich, sodass ich es mir anschauen kann und dir danach eine freigabe erteilen kann)."
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_2oh3JY5Q7V1TDdNDGvSI5M6z",
"call_id": "call_2oh3JY5Q7V1TDdNDGvSI5M6z",
"response_item_id": "fc_049e6b492e9f3d48016a10c9fbf72481918eaf59ab0e98f511",
"type": "function",
"function": {
"name": "read_file",
"arguments": "{\"path\":\"~/jarvis_memory/33_autoshortsbot.md\",\"limit\":200}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "**Exploring fan funding and revenue**\n\nI’m examining fan funding options, noting that 500 subscribers, 3 uploads, or 3 million Shorts views are thresholds for lower funding. With Shorts having no minimum video length, they might be more accessible as they’re just 3 minutes or less as of October 2024. I also see TikTok’s Creator Rewards criteria: needing 10k followers and 100k views in the last 30 days, along with eligibility requirements. I’ll check official web pages for more details!",
"reasoning_content": "**Exploring fan funding and revenue**\n\nI’m examining fan funding options, noting that 500 subscribers, 3 uploads, or 3 million Shorts views are thresholds for lower funding. With Shorts having no minimum video length, they might be more accessible as they’re just 3 minutes or less as of October 2024. I also see TikTok’s Creator Rewards criteria: needing 10k followers and 100k views in the last 30 days, along with eligibility requirements. I’ll check official web pages for more details!",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqEMn80KuCpY4LhRtM6EHC9SN74GYevr2A5XFu_HAsmgI7Uq8cX6UbUmG4-bdlJmXkOFWiE4P4binyTF9kjUfakWnWCIeiJ-JlZPBSsvSNeTyBz8WgylVrxVOX7hIWgDKYS4HUQpG_0IoK3SQn1vqEla9pGs_MPbk89OC1m_RubES-rxs5869E6r7PR1Da6vLPAked7LDbhy5tf2S8fkF2TMQNXbNAygGEaqqkFGPV3NQ0Ps7gitoqxDE1UCDs1wz5LqzQCXDKfWinITCjuLBxJVQ8TYbnAU55O7UP5Ic4_dmApSwtgEHirzrlGkE2fkbwoUiXsCVo-6eLZq_6SR_FgaXMj3uPnpqcDk0jL-lJKRM_04wL4DkmilTK8ILZavMgNtIkG2oo0L4FhtiE6hSERfuga71F8frWN6f1tYqvQZqGX0C3wMIp6kMrnY44Jp6mHdXBi5VPVST4kYfxclksU4oVTSTYOQ7sv9xEpQp5Xpu4hYfFRkkd2G8wMnMw0865yvowQHgKOCYmHIrMjQDZBOYtLv5ByFZRBzpjGMM7GmUfiaPOTGQESgP0fSrbsHlj3yk01-PfiUBIFgO6MgBpInqRHsDYJrsQbzzq-SrMjSakz4GBy1UoLYV9Os2-eStjBRPs6YijsQOVpaE8W0ZWnLN95Ak7ADeCM9YFbLeBEgj7lKyNE9eshWlFHm0A06ubLUBDJ9PcCBdu0MJ6lcr2ujyc0cdIGe5Qh1K0l9SHVHr_cza1sbb-pYqmVtqHHPidU9o9kzglGpNrBFmYsyD0m_3-19B3tuzKLzj4lFi4YA5oOrW5ypXpM852IvSc9CYUC7yNyKhya4p6Warqr7g4bv_i_eiGN1MnqgTNCGU8I_PWzOIgE3TU4FJYHWgrk4SRWplWrfWBXxfgVb1SY02z-CqgSZxGCVG6IDo664uGunxF9Uty1_uCZLU5VH16RRPpKP2Di3_vglSxlvGpIdX59SkgLi5jMIS0cJ9O6ABz-jI19RII1YMYJPGjPgCdfZigbOBDjfi1HKHOCkxiy07grmj-qlTVLZLwDNDs3_u4rM_UDAtR2f4uPtdPXBWGyGQgsXZD81STsJJIo92cHJFBpw1z_vWFMxCL0G8LXkk8qjqiJ36eEk2wQqceWG2Sxnr6megvYXMrpT9MrkF2wk4ps8BOklrTizOnpXhRU7hg6-UlnyLXVrdekSpXX_2MzEWUXjcxdzSOGu7xXFULKSQA1c8mGIUjIJfAmdZTl0uXyqgXvEGrTOR76Hc4gLBuuv89gEy_wqHqfzURhB7ysWggNixo58CO-OUc13hstxhywAiX2nCPrJ4rrt7Apqfbskl1KdWmOotyixQsIv6ap8wlgiyMLQVjqTyrHAdh7Q2WkLmAxZPuOUVQQnzatdqywDoZPNJuYT3Q6dGpDVaGjPT_bWSjJSs0vnef6XFSZFTcnCzxk9ggurwusls6mYTN5Fi1OkRIcR7FoLK7aZRb9fAZJtTswPNSmZ1znlckFrVHlt4OKzOgti9lMk4_O3zYc900-2MSebc9MCjT8DPqnFWymP-3a6b9-I-CD7eVpyluhJqnfV3-sxtfhDzP4O1yf1NHy3gTYcxz2-vmQKGzMFHfo_QxYqOAuS5J8AA5xnc7DHxDtSNPu-ERz1kpiH-si7AmLGiJtKhYXhYyyH1OLu4SpV9X03t8DCbgnG_VhFSMRMgb2wPAR0ecfcLMhi1G3taTrLB39EgA84o19IXkePYv2WjQ-7J26W10d-9LVtKlicFCEELhA-z6ljf2E_PO6WtlezcDOW0_UThrIhTjWq666RXHUxL_jekL4u5DjT3_lbsNLYkB--N2jA-CFcCTrmkhQ-QqYzOmiB2NlDQvIhIuQ631hzD3bYoSR6kwT9VrF7p6hs3DH0YhoJCuZvfbADHv8RCQEpKokFQMSAb6wN_BPh3s1577KrkhcZ8w9oKHOfKcICW4DNDeU1536iziKzEUzC9Dn2Az-qP5tt3NY05-w0seoS9PgMZ5zPtifqRmKAtPkbfNp_3Pm3gbtT7BamEWy_6RrjadJHXokiPeGAPpp5JDggKx8A42zlx3cHngMEV4XZj7hlbDwNZpVUzRi3Mz2NcSTOP_vEsnE90Wapdg5_DXtIGhWOgrCGD9zlHdB_hlMN-ufJQynRh0DNaj4a78Js9sV1KPRqjLnCYEcnRc0NmbFxYKoIYNG-mypIzoMLM5hfUO0Y7s8i3FG2RXWSU0drY6f1I3RDu7xV9dBaaoTYd9oY6MPj_vscPMUW3qjmKJbgXxYDBWCSCB73F2tvMDsRNDMhxf07jLO5-2upOuxY5ISBikHIbewNXH1YUQBGCxlrpffnY4QKSKB3-L-WuRq99a5rK3ShpbB4ZiGTbCWV1l1ZV3UqRdhIwPNj_dOfuDGBVE7Ud2hQVkVsit3E4_MFxx4Hh8XW7XKdWmBY3b1dy0gynhfbW1hIazIgHQc9d1-_DXQX8Kl_Ce2wKB3v-eQss95bhUyxTZfTKS5ur_C9muedDP5XbjyjwPFXEKLr0154XI1JaQ4VtIpDmpAs5uEg2OjGLr7sLF0JUd-MF8GnuPeZK-UrVc_KcNd0SBCDQg64Zsv75ITzO2-sYagbw1l4ts5u9x39kUoZJBAxzDIyf5aGvxUuzmJKEfePthro2kC28f6guA4elbT8xQJjAJALmZ8PugaaGm-J6GyIHUnbTY4A==",
"id": "rs_049e6b492e9f3d48016a10c9f2faf88191af3575acaa2b5c6e",
"summary": [
{
"type": "summary_text",
"text": "**Exploring fan funding and revenue**\n\nI’m examining fan funding options, noting that 500 subscribers, 3 uploads, or 3 million Shorts views are thresholds for lower funding. With Shorts having no minimum video length, they might be more accessible as they’re just 3 minutes or less as of October 2024. I also see TikTok’s Creator Rewards criteria: needing 10k followers and 100k views in the last 30 days, along with eligibility requirements. I’ll check official web pages for more details!"
}
]
}
]
},
{
"role": "tool",
"content": "[Duplicate tool output — same content as a more recent call]",
"tool_call_id": "call_2oh3JY5Q7V1TDdNDGvSI5M6z"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_MWu1moqqExt3b2cOtHpKBNtb",
"call_id": "call_MWu1moqqExt3b2cOtHpKBNtb",
"response_item_id": "fc_049e6b492e9f3d48016a10c9ffe838819184c918e6ff8f4361",
"type": "function",
"function": {
"name": "skill_view",
"arguments": "{\"name\":\"youtube-content\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[skill_view] name=youtube-content (4,059 chars)",
"tool_call_id": "call_MWu1moqqExt3b2cOtHpKBNtb"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_0gD4Mx6TfKD1SZ13qfZpSRRx",
"call_id": "call_0gD4Mx6TfKD1SZ13qfZpSRRx",
"response_item_id": "fc_049e6b492e9f3d48016a10ca031c2c8191a7387d079babfc49",
"type": "function",
"function": {
"name": "browser_navigate",
"arguments": "{\"url\":\"https://support.google.com/youtube/answer/72851\"}"
}
}
],
"finish_reason": "tool_calls",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqEMoDNZIvMgPE5wPnX8g9bZ3dcBjCBobFoK9VNRLg1RD74iy-0fV_9Hv0HaHifeC1A2V0LBjZXV5QxjfsBA0aDScojvI3AU8-ka2Mv2lmURO_OECeFKqoadv0LCtweocbwFRCarc3hcYi-w79nRcR2xJ64q5IJ8Ps1WktVYzA8MuSUuAZPCNkfVC_rYxf0TgBLR_GIpDgRJuLC6P5WPq4zjSgILqcomrQofuOdmqDT5n4V554MlLwgcCSRa5WtAsPk-yaJAGU2-pqGhnvAZ9-slHmktxaWl-CzY_szctjac_ykCDoXAZgs_TtENw82Z3oqqD9KEqp2FnaxZy4gh_yKLh21_tEW2qr4Ho3ydYmEuJqWGZEU4_W3mfIiIFwFikkppaGYjOqxETroNJLMm9ohn8UH3hjQRyp5dUNqimToO9juDm0k6av3Hecf35Z77TzA2BJ0esRzwUGqFOPGheGu5jfum3ICTOEEajMxTXd_mVEH3n_a_NLCYQKFGFDCxHQB8nCtI_p7A1xrrEGCM7eU3hbZw95gNleJ1UrD5X8dF_mIh9gMx2LU4JKXkYzIRw8lNFqOv1bv0xGY-459ur2o-c2PSIUgWZlg89ATQvAEdvbL_wAXUrujjs87Ifw0VsSRLwDI_xztlnzvUO4BpTLVeEuoosjNG-X3phPdk_bvf1NaZFID_9gupoN_U1fwdMAjqiearwJPreafNvXMs-ySSRm3UL9JxszkDeM2UjtlYnT5j7YS5RZdwSWeXkHWaMCsn9G_grNRDCuamo8ISy20S8Qd9M78ONAMGHHlCULgi7YnwBPfwehoXqAN9-BbeoYHaSOJ-vKZi9F9xSweiYknHmW9SsAmtRmS3lcbubo_ZMLyMILMw9KJ-SRSOjx2FED6hBph6-jIgAtfimWnQsFyKdf2wwDZsE1dU2ZqE8yVdQAGX1hDanuv017IYarnU0nLicJ6uHBAssU1YdcF_nsWomBNA==",
"id": "rs_049e6b492e9f3d48016a10ca01e56081918b991d65c28de18f",
"summary": []
}
]
},
{
"role": "tool",
"content": "[browser_navigate] https://support.google.com/youtube/answer/72851 (8,635 chars)",
"tool_call_id": "call_0gD4Mx6TfKD1SZ13qfZpSRRx"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_impWYiMzMuiEktmoIjhzyo3Q",
"call_id": "call_impWYiMzMuiEktmoIjhzyo3Q",
"response_item_id": "fc_049e6b492e9f3d48016a10ca08646c819189ed86859e49f799",
"type": "function",
"function": {
"name": "browser_snapshot",
"arguments": "{\"full\":true}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[browser_snapshot] (8,313 chars)",
"tool_call_id": "call_impWYiMzMuiEktmoIjhzyo3Q"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_b1ofIdQwHGRlSwwIgk22OF2P",
"call_id": "call_b1ofIdQwHGRlSwwIgk22OF2P",
"response_item_id": "fc_049e6b492e9f3d48016a10ca0b5d8c8191b180475595950871",
"type": "function",
"function": {
"name": "browser_console",
"arguments": "{\"expression\":\"document.body.innerText.match(/Mindestvoraussetzungen[\\\\s\\\\S]{0,2500}/)?.[0] || document.body.innerText.slice(0,5000)\"}"
}
}
],
"finish_reason": "tool_calls",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqEMoMFmO9SUU6AGE_VWAKsHBRhtEm3ejUsOMsy_CxZAAaZKi82vslxIrlzSl_-TN1utETde1X8Qf8sz47HTRDARHh_fRXybTYlQ2AG5hX5IXXX_NCWU4lY2YF7u_waJ34ZVCuY5RbUQH3M_DP6DFZW2PwBZ0TZttAlG41SUgFTJT5vGC451g49TA7xsl3fOFCYMzgDIyVCG2scSvqA49G6TGw49qUtTo3fzTxCvxYCZMGUS9W49cdtTiWNFVJmT4qyWipALf9c7ea9XMrPdapB23vzG83v4EI0YDy-Og_D4rjkSOXKBXKOsiZPbkXBMgFJcpd50E2beZ6XdPkT8Wo2pWOuQOkYU6cnYWNVFcURJXzpFiO6gTUnNt__ei4zL3-LPidrBiMQZCAx0EsLHzzgYDvItOQ2kOmH6qj33S1O0PUrhJJOwiQZS-y7bFbL3KbgXtnI88WAUR1f8EsoHzcNkLjsp0qx0c2dFHjsefPD_NdNxlSHOA2SpyjQMpWX0m2KUdGKie1ef2si0rr1nEwUA9RavrLXV8HfVzhlX-K27W94aPsgARGQsnvBJbemo9TC-4KTRKTaSXD7lb_UPuRf9jLGGv5OSciXPaMr4leS1YjtPGX7NBNol6ZVg0M3atQuq0xyYenjyJBCEu7Z0z9M7ww9iIt0XpxiybNaw7cMCY1tPWVcNUHlELjscmVjhYclJmVqWMm4DTSwc1dUwZX19psI-GlrkUcEFbPZ-zWy9SQeHDyj5bp9eyTeYPHOBK0Mzdf-0sk-peugR2iP6S8OuDOe_vvFN-DHCafz5f43YcZ7gHu1cZBsSLcStHFZRWmagejuhNmNSyaZ2TnhCwUXcBlwVYsApOOKeTdJSLWZ9Z_qU6h8LwMHljSY3tkzFeISGXJm7HRxSJNkgYoJxZTKu7oKHKnAB9KvJBqssCxKY3WT7OKYN0rkcKEO658uDTOuPhzIYUs92cgUc0CQWuA1qQB2WSQthb0WAT8Glcx_KqjpQrhPux0n9DETMbPFTXqz3-7",
"id": "rs_049e6b492e9f3d48016a10ca0aa59881919153f042ebdb62ad",
"summary": []
}
]
},
{
"role": "tool",
"content": "[browser_console] expression=document.body.innerText.match(/Mindestvo (2,597 chars result)",
"tool_call_id": "call_b1ofIdQwHGRlSwwIgk22OF2P"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_bGsUc6XOxqVsb4TFCcdh8rfc",
"call_id": "call_bGsUc6XOxqVsb4TFCcdh8rfc",
"response_item_id": "fc_049e6b492e9f3d48016a10ca0e121081919f6228cc6ca1a8cf",
"type": "function",
"function": {
"name": "browser_console",
"arguments": "{\"expression\":\"document.body.innerText.match(/erweiterten YouTube-Partnerprogramm[\\\\s\\\\S]{0,2000}/)?.[0] || document.body.innerText.match(/500 Abonnenten[\\\\s\\\\S]{0,2000}/)?.[0]\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[browser_console] expression=document.body.innerText.match(/erweitert (2,105 chars result)",
"tool_call_id": "call_bGsUc6XOxqVsb4TFCcdh8rfc"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_UtUMDBEsoKBX2ioVReXL58dE",
"call_id": "call_UtUMDBEsoKBX2ioVReXL58dE",
"response_item_id": "fc_049e6b492e9f3d48016a10ca1136a8819198451b52991df102",
"type": "function",
"function": {
"name": "browser_console",
"arguments": "{\"expression\":\"document.body.innerText.includes('500 Abonnenten') ? document.body.innerText.slice(document.body.innerText.indexOf('500 Abonnenten')-500, document.body.innerText.indexOf('500 Abonnenten')+1500) : 'no 500 text'\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"success\": true, \"result\": \"no 500 text\", \"result_type\": \"str\"}",
"tool_call_id": "call_UtUMDBEsoKBX2ioVReXL58dE"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_fectP1fmLrSZAZs9aW2vgpJL",
"call_id": "call_fectP1fmLrSZAZs9aW2vgpJL",
"response_item_id": "fc_049e6b492e9f3d48016a10ca15d3248191aac18e174a2bd788",
"type": "function",
"function": {
"name": "browser_navigate",
"arguments": "{\"url\":\"https://support.tiktok.com/en/business-and-creator/creator-rewards-program/creator-rewards-program\"}"
}
}
],
"finish_reason": "tool_calls",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqEMoWzS8MnpTvGuQ3WZjO2Bw4K5IhLhAEpVhYOiLtMFCz1KOpntyndUrAGo55CiEsf7oQQA70MpLg6R4ZJWyu6y5w6jGDoRvDu7C6ca0ByGOYeSzOpzpLRAB1FUet_dbmT2eQaEu5RW2yEfv_4wBYfJI8tDKWNoX-zhRfLIHLWzY3JGaTq05XmpKGSqRkyq3fFag1AKF0qIWWU02h8jrbieA-1nAB2jlgsA6CkBWUcU6wWtD-Kw6CUpC-6DI_SYIG6Jmwz5HwyXwHveWNwv_KE10AW9E5z5AgQcYTbTCopUIh18BKK3DW4UeVK-dF0zLduoX-Co4kA575alHAc8TtNHtXU929lbV3TuwJo36kJal6LYDUoHs695jLw8wrneNk6m62vaUy8oEjCYE8tOh6qRmDnX1C2VbnD3qTjFp73vs5VBrLqk9lJSZU2MSfvKe7TmkEFdGY9IrNN7uMW2VW8ypwUh7tYwoGYZF3ZR2Vsv6S7kSQ25xGx03jQ5eFZkuQyFEr5VtWRxUSWVniDpAddkDK8f4watyI-qV77GFPvk80EnRgrWWuP1NT5jrAC07f706EtM9cOcBOaJqRojCgGQoETK4m-nOJVdwzbSvW2tFPAinNQ-GGmH3JVlk7pFyWajMAb7Nb2puEmnor0LKw8dIxOGx1PuJvSPzL-zYnOxFPy8IiWAX73cbD-RzgcUClFx1PQmZKNEnWhgjt0YqfUmkzp4ig3ckWNGaPIhD7AVYxNCxBzd_tia_R9kfuD7B_Eh3dNmH8SEGkWmSNyFCAGX0zNfbiVaWGQw0UvgD-GovoUsIjLeIkY8ZQLBliZ35aDSVI1NMUD8AUzNA4QJtQc5cO3rZOHNPbKdyrixFtD7LiWcipjAxMOd9QGwN41eHTyRmo4WKSDemKAAWzsxjIPdD6G22fgm8HLwhLGmIvFBJK8KK9TAqwdZgU81sLQ4F3AH5988vqGqpQRMrDW_3BkotVpg==",
"id": "rs_049e6b492e9f3d48016a10ca14feac8191875a759860c7eb09",
"summary": []
}
]
},
{
"role": "tool",
"content": "{\"success\": true, \"url\": \"https://www.tiktok.com/support/faq_detail?id=7581821550694013452\", \"title\": \"TikTok Support\", \"snapshot\": \"- generic [ref=e1] clickable [onclick]\", \"element_count\": 1}",
"tool_call_id": "call_fectP1fmLrSZAZs9aW2vgpJL"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_FHNoSS9GXB1wcOXA5BPLAjTi",
"call_id": "call_FHNoSS9GXB1wcOXA5BPLAjTi",
"response_item_id": "fc_049e6b492e9f3d48016a10ca1a14f081919e76f31409365ca8",
"type": "function",
"function": {
"name": "browser_snapshot",
"arguments": "{\"full\":true}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[browser_snapshot] (1,852 chars)",
"tool_call_id": "call_FHNoSS9GXB1wcOXA5BPLAjTi"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_H2edFrSVkXHMS8ef5kApQzOh",
"call_id": "call_H2edFrSVkXHMS8ef5kApQzOh",
"response_item_id": "fc_049e6b492e9f3d48016a10ca1cccb48191b58cb1aff6d29601",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"python3 - <<'PY'\\nimport urllib.request\\nurls=[\\n'https://support.tiktok.com/en/business-and-creator/creator-rewards-program/creator-rewards-program',\\n'https://www.tiktok.com/creators/creator-portal/en-u...[truncated]\", \"timeout\": 60}"
}
}
],
"finish_reason": "tool_calls",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqEMoflKAVAypbumr2vrj6MA7ThH556JtoDb9axtsl1VKm0sFL_GwwvKNSJZ6xc9cs_GRyay1sXMzhkpJEozDJH6NgcO4MsGtgJvdSWFBA9n2GGKvlEkdxOQUSrUW0HWvbPYFKMnge-W50SAGtLJyfTLK_5uI1ewo9SLZd8lhlkPTcLCx7ZObmn3Hyq6aNPZWcLQygKjf10eyUkuDTkhsDa-ZuWGCxnRZimv3wD6mf72hFRsxOh63hBpbpU-C2v0YPQcf5lYpZFA81rWrMPGgt7xIC9Bm_gwCkdQxGgYvEKWINqKzRy6yJEPlq6mZh10wBokifwDC9r-jJxMpgrmHcPtKlDZUFbrqUG351avFN3cTDM17vA3lCHgedV5UXmNybOHxB9TxprAPAogPXzJG430ueCMOeg1EZI15-phUeoPY2AhRlU57sbJfapToUhvsseeytSj6txr-uyYFjdvqDeBTu9XmB8ieL4j_qTUYbK1AlZlvH1CCqu6CwjYMSEQlWLYFaOGaVs7JoLeNoF6FB5PJrFlDRTYsg1ilXqj1ByHyjfGkYB_2vGImPSeQF3wCe0oAbcCcqP514-97LZBdOsHk_igj03Equv7zaUIA6qwPT3shcAjRDvDLgfoOp69O_UzeUhTCvY1WmOEGkprmIwHj-rfww5O1KQf_4DobgwbucLS7etfpxbcQs-LcsxwOs9DSgRmJIsmd1KkjaNHwbxcZRWET2zxcXBcLfAWylY3t8bLa-0m5okk1HM4u__erPVjf5ziShtUJPRG9NhnkyqdesjKPfUFv7icpLcxjwzUtj496LXWyfxmfSDGZ5yFmLNttmFWqKNelUn4IxY8XSJMN7sDQfNnCb3ebZNmdLrUvDBfUdfQ-1ngGx-Wm_D4sazlBu1y2AjqFdQ14ZzIBsXr1q0miWQEIfwOHTusS0QF63i84fKCRSw9pyXa_bqzIEPvEF",
"id": "rs_049e6b492e9f3d48016a10ca1c2a74819194126b9667910882",
"summary": []
}
]
},
{
"role": "tool",
"content": "[terminal] ran `python3 - <<'PY'\nimport urllib.request\nurls=[\n'https://support.tiktok.com/en/...` -> exit 0, 1 lines output",
"tool_call_id": "call_H2edFrSVkXHMS8ef5kApQzOh"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_eHyUpm8olqnfat3ZyTc4tp7n",
"call_id": "call_eHyUpm8olqnfat3ZyTc4tp7n",
"response_item_id": "fc_049e6b492e9f3d48016a10ca23d3c081918c7a88cbc505c633",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"python3 - <<'PY'\\nimport urllib.request,re,html\\nu='https://www.tiktok.com/creators/creator-portal/en-us/getting-paid-to-create/creator-rewards-program/'\\nreq=urllib.request.Request(u, headers={'User-Age...[truncated]\", \"timeout\": 60}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[terminal] ran `python3 - <<'PY'\nimport urllib.request,re,html\nu='https://www.tiktok.com/crea...` -> exit 0, 1 lines output",
"tool_call_id": "call_eHyUpm8olqnfat3ZyTc4tp7n"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_JmvsdhOhKBAc1mV1pAZGA84y",
"call_id": "call_JmvsdhOhKBAc1mV1pAZGA84y",
"response_item_id": "fc_049e6b492e9f3d48016a10ca2efaf8819191bba5c786745351",
"type": "function",
"function": {
"name": "browser_navigate",
"arguments": "{\"url\":\"https://www.google.com/search?q=TikTok+Creator+Rewards+Program+eligibility+10%2C000+followers+100%2C000+views+1+minute\"}"
}
}
],
"finish_reason": "tool_calls",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqEMovHDfWBUoQROvF2wuVJL3au_bH1YLPKJcMzb6Me1fnxJD1cI985oWg5tdpeKCi5OUh2OhYiLqdlvLswCPvd8CmqXtHkOa5gTPl-mWcMhupA_tgcSqvQx1VgI4crvBsRa17yqXcfcIfbmPkV2wCn6sL_timVI4H7IkHRc9PQlY6azIwyJ0WLMsuJp__nhyQ-IQSAqTfEUR-cDhUs1kfNE92uezevp5YSAUyL6leHjdiIzJDpZ-Un_HvthNz8KLkX93gBXxxns0eYI45BJREaU0jEToTCfJfx7EnxpwpPRJJrS8txasVw3ljwdf2yPIsv-X2nxk9r1CUJt8aBuieQzsaC67nwh4gJYCi1qk_O6R89DRWpr5mS6g33oC9p1A3s6d3FEz2qGAWvmA83EcDmEaMGaHXTbDz90Vap3u8b9IhjQVLBpbc9_EXR8tsojL8oIRAl0YWmAvvDDASfqPvDvl8IAIiiuipi9fwyby8W9DTK8Fs_-GrWyzJSPAT7yw-JNUhM23ek9MKosnicbwPtL04tbn8dTkOra3KhvOqKBhD5nwoFc3vvLnZ7WTVTdTx3OOljOMEbJihH4ahqyrgeT-Zf4kt6cucSPqin8_u3PAC-Q5c-CiytwLxxTE_XkBWQDUX36iJQ14UHlHYVYFM1Yrn40o8NC3VifAMwxIF29JQIvkoefjK715hCDrUXfAQSYJsXiKAEPEB3Np7-Rp6kwh8_KRe7c6CTR0DIk6Q7BoCifolwHG9bLHmK5z5FA1BAF2AUGTKnYkei1EsmvY7_hthO_8Xf7OoJyrgK5e7kkwKne-EmtoXa1u0LEOFUSf4HJE3LnYr8rQxpXLNQF4egzVnBmGoZqdmWhjW1yxv5LM8zghW13SMy1Dwaw5bjsQ3VrSabMW4G_BzBg-FKhnoVRBztZi2RvfPGL7hNwB17nB3Mm1F5ORBgfhbygMR9IY3pqbjHM12m6qmXGLtNtnoHv_oXcn0Yg3tDWVJbuK2lcuTlO4RjRi-wJqF3hpWs6r-iZxs2rOfyy_NKE1CQRM8LSFiIA==",
"id": "rs_049e6b492e9f3d48016a10ca2d686c8191bd2a234f065f2486",
"summary": []
}
]
},
{
"role": "tool",
"content": "[browser_navigate] https://www.google.com/search?q=TikTok+Creator+Rewards+Program+eligibility+10%2C000+followers+100%2C000+views+1+minute (844 chars)",
"tool_call_id": "call_JmvsdhOhKBAc1mV1pAZGA84y"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_JkrICBgkEa0UA7v4gwvtPG3V",
"call_id": "call_JkrICBgkEa0UA7v4gwvtPG3V",
"response_item_id": "fc_049e6b492e9f3d48016a10ca3f729c81918ef443296480e966",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"python3 - <<'PY'\\nimport urllib.parse, urllib.request, re, html\\nq='TikTok Creator Rewards Program eligibility 100,000 views 10,000 followers 1 minute official'\\nu='https://duckduckgo.com/html/?q='+urlli...[truncated]\", \"timeout\": 60}"
}
}
],
"finish_reason": "tool_calls",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqEMpCorjC3Sc89h2KZMObzcosb_NUwUg02PSYT57HyS8VFIw5QcgfNDgFSCUkASTIhaMf7MuI9s1UOqC9uqyJn0cbcdANiYJehxbDiRPRUUwNADqziaFL_4EdI-4lpi0KGYZzJ9jxVYZPenB9PgUqnv8Rpto_BcPYiDKDN5HFgXjKKhujkIrmLPe5POeaHVG_gUyQ0g_gJ1jr9UMCKxWAyrnj9C8t75n3AlmaqxX9izUmTw6aWj19mYIPsci5Z9v_ErHyX6L7WzbDPvsJpMNG_37SEH2orYpIpJvS1AEmlNasXpgf1bXzMaFNImhTLsVZHS5AqZ_7Ylks-ONIMyry51a-sq-8v04PDfQWH8Zj_do9tfjdjwSIDjMqPewRGjRddZAicIh8pWi5c00YAKGwhWk4nlmHHUesgSN6JXbXJOslyRgj-vlkNbTuUHPY8_kWpLm5BZ_5tVy4nRlOd0LQ8Wv1Ebdj2_B1a7oSQv7dXYgO-rF0je9cjIMG6hm9iGVGsIDz4BEZWhNZajmWoZmNlB8e1sMsPpa4TdNkAFiG3YA1wHGPXgPjyg8I9VWqnelSt8xKuTQ82bGPGOmcLngcWmn6KIDJRQhfJpuCcok6wiNqQAMeajfyhzFxN6LrNQ8ZYEo_bQlV6gCVU08XEsfTdlp5iLMB2gZF5FVE2Xdg_Yxh-V__d7s6lB1JySHtXxQv-pvWr4kdUF87hCgcqZqe85ro1f4hRdgrTo1KqUA6BjLjXCul2G4q6igUHjw0xEI_kf-8U9MmgTLpMniWKW45C6MDOp4Ch8pHK9TuH_DEc_mpRFo7PRnSoBKAQkL8iHLcXXcTTEKJNg3oPy6nbML3b7AN0A4u_S_8gPkiIydmH-IP8Xu_rSWbxDTx8uwwlxhlLHH9A9vbrWKihhfAuU4dnNlmbIhtpZbl1QBInjsY8q-TT7gzuh7OLKLoJJbyglY3XZtvduzdxN9dr88LbCGOf6t-kw==",
"id": "rs_049e6b492e9f3d48016a10ca3e99208191bb13a77b830fc068",
"summary": []
}
]
},
{
"role": "tool",
"content": "[terminal] ran `python3 - <<'PY'\nimport urllib.parse, urllib.request, re, html\nq='TikTok Crea...` -> exit 0, 1 lines output",
"tool_call_id": "call_JkrICBgkEa0UA7v4gwvtPG3V"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_gP6DyWDTfhYj1A1F24axKsAv",
"call_id": "call_gP6DyWDTfhYj1A1F24axKsAv",
"response_item_id": "fc_049e6b492e9f3d48016a10ca475088819196108be3917f648c",
"type": "function",
"function": {
"name": "browser_navigate",
"arguments": "{\"url\":\"https://www.tiktok.com/legal/page/global/tiktok-creator-rewards-program-eea/en\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[browser_navigate] https://www.tiktok.com/legal/page/global/tiktok-creator-rewards-program-eea/en (8,326 chars)",
"tool_call_id": "call_gP6DyWDTfhYj1A1F24axKsAv"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_JsgG61KyTgVegQ5IYNIlGbIx",
"call_id": "call_JsgG61KyTgVegQ5IYNIlGbIx",
"response_item_id": "fc_049e6b492e9f3d48016a10ca4d44d48191bb46e354c97e018e",
"type": "function",
"function": {
"name": "browser_console",
"arguments": "{\"expression\":\"(() => { const text=document.body.innerText; const starts=['Who can join the Creator Rewards Program?','What videos can collect Rewards?']; return starts.map(s=>{let i=text.indexOf(s); return '---'+s+'---\\\\n'+text.slice(i, i+2000)}).join('\\\\n\\\\n'); })()\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[browser_console] expression=(() => { const text=document.body.innerT (4,209 chars result)",
"tool_call_id": "call_JsgG61KyTgVegQ5IYNIlGbIx"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_1vMPP5cmlE3KoYv0Oj4oE8ZC",
"call_id": "call_1vMPP5cmlE3KoYv0Oj4oE8ZC",
"response_item_id": "fc_049e6b492e9f3d48016a10ca50fd2c81919978bf17b2ac33be",
"type": "function",
"function": {
"name": "browser_console",
"arguments": "{\"expression\":\"document.body.innerText.slice(document.body.innerText.indexOf('You can shift to Creator Rewards Program if:'), document.body.innerText.indexOf('Participation in Creator Rewards Program'))\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[browser_console] expression=document.body.innerText.slice(document.b (709 chars result)",
"tool_call_id": "call_1vMPP5cmlE3KoYv0Oj4oE8ZC"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_7hVckg02xlfhSQUC2ANZIVWQ",
"call_id": "call_7hVckg02xlfhSQUC2ANZIVWQ",
"response_item_id": "fc_049e6b492e9f3d48016a10ca53f6808191a7b9c87c46b9ee55",
"type": "function",
"function": {
"name": "browser_console",
"arguments": "{\"expression\":\"document.body.innerText.slice(document.body.innerText.indexOf('Creator Rewards Program rewards content'), document.body.innerText.indexOf('How will I know'))\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"success\": true, \"result\": \"\", \"result_type\": \"str\"}",
"tool_call_id": "call_7hVckg02xlfhSQUC2ANZIVWQ"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_G6zlKKfXg7rKVfrYiGSrPWQy",
"call_id": "call_G6zlKKfXg7rKVfrYiGSrPWQy",
"response_item_id": "fc_049e6b492e9f3d48016a10ca573704819185de4a05196c2aa9",
"type": "function",
"function": {
"name": "browser_console",
"arguments": "{\"expression\":\"const t=document.body.innerText; let i=t.indexOf('Creator Rewards Program rewards content that meets all these criteria'); t.slice(i, i+1800)\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[browser_console] expression=const t=document.body.innerText; let i=t (1,873 chars result)",
"tool_call_id": "call_G6zlKKfXg7rKVfrYiGSrPWQy"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_lHZvAik50SSZ0sQ64Azhmv8B",
"call_id": "call_lHZvAik50SSZ0sQ64Azhmv8B",
"response_item_id": "fc_049e6b492e9f3d48016a10ca5cd8f08191abaa929d9759858b",
"type": "function",
"function": {
"name": "browser_navigate",
"arguments": "{\"url\":\"https://support.google.com/youtube/answer/15424877\"}"
}
}
],
"finish_reason": "tool_calls",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqEMpdc-w1PJGKeSadZQAFFpyLLZl-7jzgCo0usQqHhRpW7_n4qRVkhqW9p-rTF6zVr8jsydPZNnXpRkB4nTitpxeMdXAlfEElpIuTPuVw1Sn_IbuWAcG4ICgrFxkEyl0C1iuLpRwScEkybLVsNahjELao9YyL63O10U3CaJE-Dgo9pkhq6MVG7NEpl8I6xi5eeWct8CdXfAf7yPdEcf7mTx0Ux3PuAp9kKdxMOGjWi_NRu1ez4WfupjbglY0y4DQOmfnZ4WDX-cMkyWJyzAbttPKWIT4kp_9X6eMxdW-KkFr5a2XyymU8eYIYGTrvdm8Yjo2r_GWngKkQIPPKXFwn6K6nYL2fhCSa5txH3d-QCD2vvy4BIbla07XxJi_V4Kv4cPjcUjpNbDNwU2JZJAk16fCiH3HrODbxbd2E4TKaOK9vJvLWsuibebhM1M4KrNlrrlcpgChoCWcVWLWl7nYde0A0cIBNiHSj4eL7CdcA7l6xQPzKkBbpuXkjwWnYnJEvu1cfA-wv-I5EGg85zSkqf-6dnlCrI1bQq8TqvjBZ4jaMpon5gWvr7ExtMnzxzaHS8MV85UkBOZbV8kcWM2vu1LhOzppXfyHEQvLHBsSgg8pir_vJdaP9BvOEpyimzjTiTxmfLqNhnyqKh2YBasZDOhz0rUAp-nhShSTt4PdXcQxUnzlRmQl7XNLSb43HSh29cQlvYZexBbNtefHiKzZCZDs8D-4KsbjiLVLu-plXdkhY0gN9OjykXGoR9y4yeYF-0wHp86lqRcPIuDWk_rQdoLQkWJ-ugO0gi4qRgRihhdvWazoOjy50UuZeDYrSToggXKgGq44lHAAL7tKoPkR-oF8GpkRQ7dtanzFhBN7mvDnxQ4xkiR55o7v14LzIljiO67QfJgslG_jDiEkSlksN5igffIGDmdggxvWbXmjuqkxH2zPCY9e1N1GhFkYYIFhMyM5VPjNKeRe2CS08QNVQe0X63GzTnCYqmCYMLhdS0-rE-8rI0f-z00QyZ0HIRtRCnXPWSnwh9rRYhTaExsrOylnTxPgI35oxBafYXxVnxgUHdQH-ZKqnC8bjy9BTdp_Mg0WvW1vP0Yj0E5fo5ctckl2JKaOm6IRkqdHn3ojCnSIAiStiQELtSKY5S68XGf5OlLfl1-oCXFTNmraqzsSUmtmh3I-R2TzuE-TMqrWlmRfL2lstlH20m_Gvtj1MbVQuA328bKMes50kdkXIkIpy5xHH8eHQgq92dtrisS4cDbpbMxHhIYVyR-CDnZ9xYmrfXpkFk61S2Vmbj8XIN68Tyx4i4dqx3ghNpalLrU2E8poC4lWK2kZrPsH1tUiT9qXz4kHuVBsl-Sgbp-p64cJjc6QhIKeqnbhqJGsMmbqDloFog0e8yp3DtlaxKX-rNwMvNeIFDCsXlb3dHTMGKkKRY57T3n9L5PtjXTYluxMsuQ_3wQ9VdiPWEtnTYI05mPUaKHhSYBxtniPQviMrfrxxKF5wNi18hLu4t4y7HAV0NLoWAoG1Alqxf87Nql1u5L5mrgWdGQUNnliLfFbmljV3ac8tOvUW40jGmi9BROXu3Ygbz-U8wxFy_kv2wt4joy_WrjGmwhWDtjLjxeVv9pinja0KaV-CCQujpKAFd2ZRRbSkNA1rsnd_OMCnCC7E59Ae-Hk8NX-5laW9XnxWIc-v4EsAn_HBAPMXD2fSCvGK17kku_0=",
"id": "rs_049e6b492e9f3d48016a10ca59da38819189c4139e63d65034",
"summary": []
}
]
},
{
"role": "tool",
"content": "[browser_navigate] https://support.google.com/youtube/answer/15424877 (8,448 chars)",
"tool_call_id": "call_lHZvAik50SSZ0sQ64Azhmv8B"
},
{
"role": "assistant",
"content": "Ja, Sir. Ich würde daraus jetzt eine **zweigleisige Growth-Strategie** machen:\n\n1. **Follower-Aufbau:** kurze, aggressive Shorts mit hoher Retention.\n2. **Monetarisierungsfähigkeit:** parallel Formate bauen, die die Plattformregeln erfüllen — besonders TikTok verlangt für Creator Rewards längere Videos.\n\nIch habe die aktuellen offiziellen Anforderungen geprüft.\n\n---\n\n## 1. Monetarisierung: YouTube Shorts\n\nQuelle: YouTube-Hilfe / YouTube Partner Program.\n\n### YouTube Partner Program — volle Monetarisierung\n\nFür Bewerbung über Shorts aktuell:\n\n- **1.000 Abonnenten**\n- **10 Millionen gültige öffentliche Shorts-Aufrufe in den letzten 90 Tagen**\n\nAlternative über Longform:\n\n- **1.000 Abonnenten**\n- **4.000 gültige öffentliche Wiedergabestunden in den letzten 12 Monaten**\n\nWichtig:\n\n- Shorts-Aufrufe im Shorts-Feed zählen **nicht** zu den 4.000 Longform-Wiedergabestunden.\n- YouTube Shorts können seit Oktober 2024 bis zu **3 Minuten** lang sein, wenn sie vertikal oder quadratisch sind.\n- Shorts mit max. 3 Minuten können im Shorts-Feed und über Shorts-Revenue-Sharing monetarisiert werden, sofern der Kanal im YPP ist.\n\n### Konsequenz für uns\n\nFür YouTube ist die Videolänge strategisch flexibel:\n\n- **20–35 Sekunden:** beste Chance für hohe Completion Rate und Rewatches.\n- **45–60 Sekunden:** gut für tiefere Gedanken, FaithTok, Storytelling.\n- **60–120 Sekunden:** möglich, aber nur wenn Hook und Retention stark sind.\n\nYouTube belohnt nicht einfach Länge, sondern vor allem:\n\n- Swipe-Stop\n- Watchtime relativ zur Länge\n- Rewatch\n- Shares\n- Kommentare\n- Kanal-Fit\n\n---\n\n## 2. Monetarisierung: TikTok\n\nQuelle: TikTok Creator Rewards Program Terms, Stand Apr 2025.\n\n### TikTok Creator Rewards Program\n\nVoraussetzungen laut TikTok:\n\n- Wohnsitz in einem Land, in dem Creator Rewards verfügbar ist\n- kein VPN/ähnliches Tool\n- mindestens **10.000 echte Follower**\n- mindestens **100.000 echte Videoaufrufe in den letzten 30 Tagen**\n- Account ist **kein Business Account**\n- Account in good standing\n- Einhaltung Community Guidelines / Terms\n\n### Video-Anforderungen für Rewards\n\nEin Video kann Rewards sammeln, wenn:\n\n- es **mindestens 1 Minute lang** ist\n- es mindestens **1.000 qualified views** erreicht\n- kein Duet/Stitch\n- kein Photo Mode\n- keine Anzeige / paid promotion / sponsored content\n- originaler, hochwertiger Content\n- keine Policy-Verstöße\n\n### Wichtiger Schweiz-Punkt\n\nTikTok Creator Rewards ist nicht überall verfügbar. Die offizielle Seite spricht von „selected countries“. Für einen Schweizer Account müssten wir in der TikTok-App bzw. im Creator Center prüfen, ob das Programm konkret verfügbar ist.\n\n### Konsequenz für uns\n\nTikTok hat einen Zielkonflikt:\n\n- Kurze 20–40s Videos wachsen oft leichter.\n- Rewards gibt es aber nur für **1min+ Videos**.\n\nDaher:\n\n- **Growth Shorts:** 20–45s\n- **Monetization Candidates:** 61–75s\n- Sobald ein Format funktioniert, machen wir davon eine 1min+ Version für TikTok Rewards.\n\n---\n\n## 3. Weitere Kanäle, die infrage kommen\n\n### Instagram Reels\n\nSehr sinnvoll für Zweitverwertung.\n\nVorteile:\n\n- gleiche 9:16 Assets\n- guter Kanal für Faith, Lifestyle, Motivation\n- starke Share-/Save-Kultur\n\nNachteile:\n\n- direkte Reels-Monetarisierung ist je nach Land/Programm wechselhaft\n- oft eher indirekte Monetarisierung: Affiliate, Newsletter, eigene Produkte\n\nEmpfehlung: **mitnehmen**, aber nicht primär auf Plattform-Payout setzen.\n\n---\n\n### Facebook Reels\n\nInteressant für ältere Zielgruppen und christliche Inhalte.\n\nVorteile:\n\n- Faith/Family/Life-Advice funktioniert dort teilweise sehr gut\n- Reels können über Facebook-Seiten zusätzlich Reichweite bringen\n\nNachteile:\n\n- Monetarisierungsprogramme sind abhängig von Land, Seite, Policy und Einladung/Eligibility\n- jüngere Zielgruppe schwächer\n\nEmpfehlung: Für Faith/Life-Optimization sehr brauchbar als zusätzlicher Kanal.\n\n---\n\n### Pinterest Idea Pins / Video Pins\n\nFür Evergreen-Content interessant:\n\n- Life hacks\n- Routinen\n- Bibelverse\n- Checklisten\n- AI workflows\n\nMonetarisierung eher indirekt:\n\n- Traffic\n- Newsletter\n- digitale Produkte\n- Affiliate\n\nEmpfehlung: später, wenn wir wiederverwendbare Templates haben.\n\n---\n\n### X / Twitter Video\n\nFür KI-Content interessant, weniger für klassische Shorts.\n\nGut für:\n\n- AI Tools\n- Agenten-Demos\n- Thread + Video\n- Build-in-public\n\nMonetarisierung möglich, aber nicht unser Primärkanal.\n\n---\n\n### LinkedIn Video\n\nFür AI/Productivity eventuell stark.\n\nGut für:\n\n- „AI for work“\n- Automationen\n- Management/Leadership\n- praktische Workflows\n\nNicht ideal für FaithTok, außer sehr sauber formuliert.\n\n---\n\n### Snapchat Spotlight\n\nKann für virale Kurzclips funktionieren, aber weniger passend für unsere strategischen Themen.\n\n---\n\n## Meine Plattform-Empfehlung\n\n### Phase 1: Start mit 3 Kernplattformen\n\n- **YouTube Shorts**\n- **TikTok**\n- **Instagram Reels**\n\n### Phase 2: Erweiterung\n\n- Facebook Reels für Faith/Life\n- LinkedIn für AI/Productivity\n- Pinterest für Evergreen-Checklisten\n\n---\n\n# 4. Die 30 Test-Ideen\n\nIch würde die ersten Tests bewusst in drei Content-Säulen splitten:\n\n1. **Life Optimization**\n2. **AI Life Systems**\n3. **FaithTok / Christian Life**\n\nJede Idee ist als 20–45s Growth Short gedacht. Gute Gewinner können wir danach als 61–75s TikTok-Rewards-Version ausbauen.\n\n---\n\n## A) 10 Ideen: Life Optimization\n\n### 1. „Du brauchst keine Motivation“\n\n- **Hook:** „Wenn du immer auf Motivation wartest, hast du das System schon verloren.“\n- **Script-Kern:** Motivation ist Wetter. Systeme sind Architektur. Lege Kleidung, Wasser, Kalender und erste Aufgabe am Vorabend bereit.\n- **Visual:** dunkler Morgen, Handy auf Tisch, vorbereitete Kleidung, Kaffee.\n- **CTA:** „Was ist dein kleinstes System, das wirklich funktioniert?“\n- **Score:** 8/10\n\n---\n\n### 2. „Der 2-Minuten-Reset gegen Chaos im Kopf“\n\n- **Hook:** „Wenn dein Kopf 47 Tabs offen hat, mach genau das.“\n- **Script-Kern:** Papier nehmen, alles aus dem Kopf schreiben, 1 Sache einkreisen, 2 Minuten starten.\n- **Visual:** Schreibtisch, Notizzettel, Timer, ruhige Kamera.\n- **CTA:** „Speichern für den nächsten mentalen Overload.“\n- **Score:** 9/10\n\n---\n\n### 3. „Warum To-do-Listen dich stressen“\n\n- **Hook:** „Deine To-do-Liste ist vielleicht kein Plan. Sie ist eine Angst-Sammlung.“\n- **Script-Kern:** To-dos in drei Kategorien: jetzt, später, löschen. Nur eine nächste Aktion.\n- **Visual:** chaotische Liste wird auf drei Karten sortiert.\n- **CTA:** „Welche Aufgabe gehört eigentlich gelöscht?“\n- **Score:** 8/10\n\n---\n\n### 4. „Die erste Stunde entscheidet nicht alles — aber viel“\n\n- **Hook:** „Wenn du morgens direkt ans Handy gehst, startet jemand anderes deinen Tag.“\n- **Script-Kern:** 20 Minuten ohne Input: Wasser, Licht, Bewegung, eine Priorität.\n- **Visual:** Handy face down, Fensterlicht, Glas Wasser.\n- **CTA:** „Morgen testen: 20 Minuten ohne fremde Stimmen.“\n- **Score:** 8/10\n\n---\n\n### 5. „Du bist nicht faul, du bist friction-overloaded“\n\n- **Hook:** „Faulheit ist oft nur zu viel Reibung zwischen dir und dem nächsten Schritt.“\n- **Script-Kern:** Umgebung so bauen, dass gute Dinge leichter und schlechte Dinge schwerer werden.\n- **Visual:** Süßigkeiten weg, Buch sichtbar, App versteckt.\n- **CTA:** „Welche Reibung solltest du heute entfernen?“\n- **Score:** 8/10\n\n---\n\n### 6. „Der Anti-Doomscrolling-Trick“\n\n- **Hook:** „Wenn du TikTok öffnest und 40 Minuten verlierst, probier diesen hässlichen Trick.“\n- **Script-Kern:** Smartphone auf Graustufen, Apps aus Home Screen, Ladegerät außerhalb Schlafzimmer.\n- **Visual:** Handyfarbe wechselt zu grau, Schlafzimmer ohne Handy.\n- **CTA:** „Willst du eine 7-Tage-Digital-Reset-Serie?“\n- **Score:** 9/10\n\n---\n\n### 7. „Ein Satz gegen Überforderung“\n\n- **Hook:** „Wenn alles wichtig wirkt, frag dich diesen einen Satz.“\n- **Script-Kern:** „Was wäre heute genug?“ Definiert Minimum statt Perfektion.\n- **Visual:** Kalender voll, dann ein einzelner markierter Task.\n- **CTA:** „Was wäre heute genug für dich?“\n- **Score:** 7/10\n\n---\n\n### 8. „Warum dein Abend deinen Morgen sabotiert“\n\n- **Hook:** „Morgenprobleme entstehen oft gestern Abend.“\n- **Script-Kern:** 10-Minuten-Shutdown: Tasche, Kleidung, Kalender, erster Task.\n- **Visual:** Abendroutine, gedimmtes Licht, Arbeitsplatz schließen.\n- **CTA:** „Speichern und heute Abend testen.“\n- **Score:** 8/10\n\n---\n\n### 9. „Der Kalender lügt nicht“\n\n- **Hook:** „Du sagst, dir ist etwas wichtig. Dein Kalender sagt die Wahrheit.“\n- **Script-Kern:** Werte brauchen Zeitblöcke. Ohne Termin bleibt es Wunschdenken.\n- **Visual:** Kalender mit Familie, Sport, Gebet/Fokuszeit.\n- **CTA:** „Was sollte in deinem Kalender stehen?“\n- **Score:** 8/10\n\n---\n\n### 10. „Stop optimizing everything“\n\n- **Hook:** „Nicht alles in deinem Leben muss optimiert werden.“\n- **Script-Kern:** Optimiere Energie, Schlaf, Fokus — aber lass Raum für Freude, Familie, Glauben, Spiel.\n- **Visual:** Produktivitätssetup vs. Spaziergang/Familienmoment.\n- **CTA:** „Was willst du bewusst nicht optimieren?“\n- **Score:** 9/10\n\n---\n\n## B) 10 Ideen: AI Life Systems\n\n### 11. „Use AI like a servant, not like a god“\n\n- **Hook:** „KI ist ein schlechter Gott, aber ein ziemlich guter Diener.“\n- **Script-Kern:** KI soll strukturieren, erinnern, entwerfen — nicht Werte, Glauben oder Gewissen ersetzen.\n- **Visual:** Mensch schreibt Ziele, KI sortiert Aufgaben.\n- **CTA:** „Wofür nutzt du KI — Diener oder Chef?“\n- **Score:** 10/10\n\n---\n\n### 12. „Der beste Prompt ist keine Magie“\n\n- **Hook:** „Der beste Prompt beginnt nicht mit ‚act as‘. Er beginnt mit Kontext.“\n- **Script-Kern:** Ziel, Rolle, Input, Constraints, Outputformat.\n- **Visual:** Prompt-Bausteine erscheinen als Cards.\n- **CTA:** „Soll ich daraus eine Prompt-Serie machen?“\n- **Score:** 8/10\n\n---\n\n### 13. „KI gegen mental overload“\n\n- **Hook:** „Wenn dein Kopf zu laut ist, lass KI nicht denken — lass sie sortieren.“\n- **Script-Kern:** Brain dump → Kategorien → nächste Aktion → Kalenderblock.\n- **Visual:** chaotischer Text wird zu klarer Liste.\n- **CTA:** „Kommentar ‚RESET‘ für das Prompt-Template.“\n- **Score:** 9/10\n\n---\n\n### 14. „Dieser Prompt spart jeden Morgen 15 Minuten“\n\n- **Hook:** „Ich würde keinen Morgen mehr ohne diesen KI-Check starten.“\n- **Script-Kern:** Kalender + Aufgaben + Energielevel → Tagesplan mit Top 3.\n- **Visual:** Morning dashboard, Kaffee, Kalender.\n- **CTA:** „Willst du die genaue Vorlage?“\n- **Score:** 9/10\n\n---\n\n### 15. „AI won’t fix your life“\n\n- **Hook:** „KI wird dein Leben nicht reparieren, wenn dein System Müll ist.“\n- **Script-Kern:** KI verstärkt Prozesse. Erst Klarheit, dann Automatisierung.\n- **Visual:** chaotischer Schreibtisch + glänzender Roboter nutzlos.\n- **CTA:** „Automatisierst du schon — oder sortierst du noch?“\n- **Score:** 8/10\n\n---\n\n### 16. „Die 3 KI-Agenten, die jeder braucht“\n\n- **Hook:** „Du brauchst keine 50 Tools. Du brauchst 3 digitale Rollen.“\n- **Script-Kern:** Planer, Kritiker, Archivar.\n- **Visual:** drei Karten/Avatare: Planner, Reviewer, Memory.\n- **CTA:** „Welchen Agenten soll ich als erstes bauen?“\n- **Score:** 9/10\n\n---\n\n### 17. „KI für Christen? Ja, aber…“\n\n- **Hook:** „Christen sollten KI nutzen — aber nicht naiv.“\n- **Script-Kern:** Stewardship: Zeit sparen, besser dienen, aber Wahrheit/Gewissen nicht auslagern.\n- **Visual:** Bibel, Laptop, Notizen.\n- **CTA:** „Wo liegt für dich die Grenze?“\n- **Score:** 10/10\n\n---\n\n### 18. „Der Prompt für bessere Entscheidungen“\n\n- **Hook:** „Bevor du eine große Entscheidung triffst, lass KI diese 5 Fragen stellen.“\n- **Script-Kern:** Fakten, Annahmen, Risiken, Alternativen, Werte.\n- **Visual:** Entscheidungsbaum.\n- **CTA:** „Speichern vor der nächsten schweren Entscheidung.“\n- **Score:** 8/10\n\n---\n\n### 19. „KI als Gewissen? Gefährlich.“\n\n- **Hook:** „Wenn KI dein Gewissen ersetzt, hast du nicht Zeit gewonnen — du hast Autorität abgegeben.“\n- **Script-Kern:** KI kann Optionen zeigen, aber Werte müssen vom Menschen kommen.\n- **Visual:** Mensch vor Weggabelung, KI nur als Karte.\n- **CTA:** „Tool oder Autorität — wo ist deine Linie?“\n- **Score:** 9/10\n\n---\n\n### 20. „Dein persönlicher JARVIS in 60 Sekunden“\n\n- **Hook:** „Ein echter AI-Butler ist nicht ein Chatfenster. Es ist ein System.“\n- **Script-Kern:** Memory, Kalender, Aufgaben, Regeln, Freigabe vor Side Effects.\n- **Visual:** Systemdiagramm animiert.\n- **CTA:** „Soll ich zeigen, wie man so etwas baut?“\n- **Score:** 10/10\n\n---\n\n## C) 10 Ideen: FaithTok / Christian Life\n\n### 21. „God is not asking you to perform exhaustion“\n\n- **Hook:** „Vielleicht will Gott heute nicht mehr Leistung von dir. Vielleicht will er Ehrlichkeit.“\n- **Script-Kern:** Burnout, Gebet ohne Maske, Ruhe ist nicht Untreue.\n- **Visual:** müde Person am Tisch, Bibel, Morgenlicht.\n- **CTA:** „Send this to someone who is tired of pretending.“\n- **Score:** 10/10\n\n---\n\n### 22. „When anxiety says X“\n\n- **Hook:** „Anxiety says: you are alone. Scripture says: I am with you.“\n- **Script-Kern:** kurzer Call-and-response zwischen Angst und Verheißung.\n- **Visual:** dunkler Raum → Licht am Fenster.\n- **CTA:** „Which line did you need today?“\n- **Score:** 9/10\n\n---\n\n### 23. „Jesus was not impressed by productivity theater“\n\n- **Hook:** „Jesus was never impressed by people looking busy.“\n- **Script-Kern:** Martha/Mary-Prinzip: Aktivität ist nicht automatisch Treue.\n- **Visual:** hektischer Desk vs. ruhige Gegenwart.\n- **CTA:** „Busy or faithful — what are you chasing?“\n- **Score:** 10/10\n\n---\n\n### 24. „Discipline without grace becomes pride“\n\n- **Hook:** „Disziplin ohne Gnade macht dich nicht heilig. Sie macht dich hart.“\n- **Script-Kern:** Christliche Disziplin braucht Liebe, nicht Selbstvergötterung.\n- **Visual:** Kalender, Bibel, weiches Licht.\n- **CTA:** „Save this if discipline has become heavy.“\n- **Score:** 9/10\n\n---\n\n### 25. „God’s silence is not God’s absence“\n\n- **Hook:** „If God feels silent, it does not mean He left.“\n- **Script-Kern:** Stille als Formung, nicht Ablehnung.\n- **Visual:** leere Kirche, ruhige Natur.\n- **CTA:** „Comment ‘amen’ if you’re in the waiting.“\n- **Score:** 9/10\n\n---\n\n### 26. „Stop confusing peace with comfort“\n\n- **Hook:** „Peace is not always comfort. Sometimes peace is obedience while your hands still shake.“\n- **Script-Kern:** Mut, Gehorsam, Angst nicht als Stoppsignal missverstehen.\n- **Visual:** Person geht durch Regen/Licht.\n- **CTA:** „What step are you avoiding?“\n- **Score:** 10/10\n\n---\n\n### 27. „You are not behind“\n\n- **Hook:** „You are not behind. You are being formed.“\n- **Script-Kern:** Vergleich zerstört Berufung. Gottes Timing ist nicht Algorithmus-Timing.\n- **Visual:** Samen/Pflanze, Kalenderseiten.\n- **CTA:** „Send this to someone who feels late.“\n- **Score:** 9/10\n\n---\n\n### 28. „A prayer for people who can’t focus“\n\n- **Hook:** „If your mind will not stop racing, pray this slowly.“\n- **Script-Kern:** kurzes Gebet: Lord, gather my scattered mind…\n- **Visual:** Close-up Hände, Notizbuch, ruhige Musik.\n- **CTA:** „Save this prayer for later.“\n- **Score:** 9/10\n\n---\n\n### 29. „Faith is not a productivity hack“\n\n- **Hook:** „Faith is not here to make you more efficient. It is here to make you more faithful.“\n- **Script-Kern:** Glaube nicht instrumentalisieren; Frucht statt Performance.\n- **Visual:** Laptop wird geschlossen, Bibel bleibt offen.\n- **CTA:** „Needed this reminder?“\n- **Score:** 9/10\n\n---\n\n### 30. „The algorithm wants your attention. God wants your heart.“\n\n- **Hook:** „The algorithm wants your attention. God wants your heart.“\n- **Script-Kern:** Digitaler Lärm vs. geistliche Ausrichtung. Aufmerksamkeit ist Anbetungskapital.\n- **Visual:** Handy-Scrollen → Stille/Gebet.\n- **CTA:** „What gets your first attention every morning?“\n- **Score:** 10/10\n\n---\n\n# 5. Meine Auswahl für die ersten 9 Tests\n\nIch würde nicht alle 30 sofort produzieren. Wir testen zuerst je 3 pro Säule:\n\n## Life Optimization\n\n1. „Der 2-Minuten-Reset gegen Chaos im Kopf“\n2. „Der Anti-Doomscrolling-Trick“\n3. „Stop optimizing everything“\n\n## AI Life Systems\n\n1. „Use AI like a servant, not like a god“\n2. „KI gegen mental overload“\n3. „Dein persönlicher JARVIS in 60 Sekunden“\n\n## FaithTok\n\n1. „God is not asking you to perform exhaustion“\n2. „Jesus was not impressed by productivity theater“\n3. „The algorithm wants your attention. God wants your heart.“\n\nDiese neun haben die beste Mischung aus:\n\n- starker Hook\n- Identität\n- Kommentar-Potenzial\n- Serienfähigkeit\n- Monetarisierungsnähe\n\n---\n\n# 6. Nächste technische Schritte\n\n## Schritt 1: Repo sauber aufsetzen\n\nIch würde als Nächstes das leere GitHub-Repo strukturieren:\n\n```text\nAutoShortsBot/\n autoshorts/\n config/\n ideas/\n scripting/\n rendering/\n review/\n publishing/\n analytics/\n configs/\n niches/\n platforms/\n data/\n drafts/\n performance/\n scripts/\n tests/\n README.md\n .gitignore\n pyproject.toml\n```\n\nWichtig:\n\n- keine `.env`\n- keine Secrets\n- keine fertigen Videos im Git\n- keine Tokens\n- Outputs lokal oder Drive/S3-artig speichern\n\n---\n\n## Schritt 2: Content-Strategy v2\n\nWir ersetzen das aktuelle `content_strategy.json` durch modularere Strategie-Dateien:\n\n- `life_optimization.yaml`\n- `ai_life_systems.yaml`\n- `faithtok.yaml`\n\nMit Feldern:\n\n- Zielgruppe\n- Tonalität\n- No-Go-Liste\n- Hook-Patterns\n- CTA-Patterns\n- visuelle Regeln\n- erlaubte Bibel-/Faith-Tonalität\n- Plattform-Ziel\n\n---\n\n## Schritt 3: Script Quality Gate\n\nVor dem Rendering bekommt jedes Script einen Score:\n\n- Hook-Stärke\n- Novelty\n- emotionaler Pull\n- Klarheit\n- Retention-Risiko\n- Kommentar-Potenzial\n- AI-slop-Risiko\n- Policy-Risiko\n\nNur Scripts ab z.B. **8/10** werden gerendert.\n\n---\n\n## Schritt 4: Telegram Review Loop\n\nPipeline:\n\n1. Bot generiert Script + Visual Plan.\n2. Bot rendert Preview.\n3. Bot sendet per Telegram:\n - Video-Datei\n - Titel\n - Caption\n - Hashtags\n - Plattformvorschlag\n - Risiko-/Quality-Score\n4. Du antwortest:\n - `Freigabe YouTube`\n - `Freigabe TikTok`\n - `Freigabe alle`\n - oder `ändern: ...`\n5. Erst danach wird gepostet.\n\nKeine automatische Veröffentlichung ohne deine explizite Freigabe. Wir sind zivilisiert, nicht Meta Ads Manager.\n\n---\n\n## Schritt 5: Analytics Loop\n\nNach Veröffentlichung erfassen wir manuell oder per API:\n\n- Plattform\n- Titel\n- Hook\n- Nische\n- Format\n- Dauer\n- Views nach 2h / 24h / 7d\n- Likes\n- Kommentare\n- Shares\n- Follows\n- Retention, falls verfügbar\n\nDann optimiert der Bot die nächsten Videos datenbasiert.\n\n---\n\n# 7. Was ich von dir brauche, damit ich selbstständig posten kann\n\n## A) YouTube\n\nFür echtes automatisiertes Posting brauche ich:\n\n1. **Google/YouTube-Kanalzugriff**\n - Der Account muss Zugriff auf den gewünschten YouTube-Kanal haben.\n - Idealerweise Brand Account / Channel Manager Zugriff.\n\n2. **YouTube Data API aktiviert**\n - Google Cloud Project\n - YouTube Data API v3\n - OAuth Client\n\n3. **OAuth-Freigabe**\n - Scope für Upload:\n - `https://www.googleapis.com/auth/youtube.upload`\n - ggf. zusätzlich:\n - `https://www.googleapis.com/auth/youtube`\n - `https://www.googleapis.com/auth/youtube.force-ssl`\n\n4. **Kanal-Defaults**\n - Sprache\n - Land\n - Kategorie\n - Standard-Description\n - Hashtag-Stil\n - „Made for Kids?“: vermutlich **Nein**, falls kein Kindercontent\n - Public / Unlisted / Private Default\n\nMeine Empfehlung:\n\n- Ich lade Videos zunächst als **private** oder **unlisted** hoch.\n- Nach deiner Telegram-Freigabe setze ich sie auf **public**.\n- Alternativ: Ich poste erst nach Freigabe direkt public.\n\n---\n\n## B) TikTok\n\nTikTok ist komplizierter.\n\nFür automatisches Posting gibt es zwei Wege:\n\n### Option 1: Offizielle TikTok Content Posting API\n\nBenötigt:\n\n- TikTok Developer Account\n- App im TikTok Developer Portal\n- Login Kit / OAuth\n- Scopes wie:\n - `video.upload`\n - `video.publish`\n- App Review / Freischaltung je nach Nutzung\n- Verbindung mit deinem TikTok-Account\n\nVorteil:\n\n- sauber und offiziell\n\nNachteil:\n\n- Setup und Freischaltung können nerven, weil Plattformbetreiber offenbar glauben, Entwickler hätten zu viel Lebensfreude.\n\n---\n\n### Option 2: Drittanbieter-Scheduler\n\nZum Beispiel:\n\n- Buffer\n- Metricool\n- Later\n- Publer\n- Hootsuite\n\nBenötigt:\n\n- Account beim Scheduler\n- verbundene Social Accounts\n- API-Key oder Workflow-Zugang, falls verfügbar\n\nVorteil:\n\n- oft einfacher\n- Multi-Plattform geplant\n\nNachteil:\n\n- Kosten\n- API-Zugriff je nach Anbieter eingeschränkt\n- direkte Freigabe-Workflows müssen wir prüfen\n\n---\n\n### Option 3: Halbautomatisch\n\nIch sende dir:\n\n- fertiges `.mp4`\n- Titel\n- Caption\n- Hashtags\n- Posting-Zeit\n- Plattform-Empfehlung\n\nDu postest manuell.\n\nVorteil:\n\n- sofort möglich\n- kein API-Kampf\n\nNachteil:\n\n- nicht vollautomatisch\n\nFür den Start würde ich Option 3 oder YouTube-Automation zuerst nehmen, TikTok danach.\n\n---\n\n## C) Instagram Reels / Facebook Reels\n\nBenötigt:\n\n- Instagram Professional Account\n- Verbindung mit Facebook Page\n- Meta Developer App\n- Graph API Permissions, typischerweise:\n - `instagram_basic`\n - `instagram_content_publish`\n - `pages_show_list`\n - `pages_read_engagement`\n - ggf. `business_management`\n- Long-lived access token\n- App Review je nach Setup\n\nEmpfehlung:\n\n- Zuerst YouTube + manuelles TikTok/Instagram.\n- Danach Meta Publishing automatisieren.\n\n---\n\n# 8. Was ich konkret von dir brauche\n\nBitte liefere mir später — nicht zwingend alles sofort — diese Entscheidungen:\n\n## Kanal / Marke\n\n1. Kanalname oder Arbeitstitel?\n2. Sprache:\n - Deutsch\n - Englisch\n - beides getrennt\n3. Soll es sichtbar christlich sein oder subtil?\n4. Darf der Kanal eine AI-/JARVIS-Persona haben?\n5. Soll deine Person sichtbar/erwähnt werden oder komplett Brand/Faceless?\n\n## Plattformen\n\n6. Welche Accounts sollen genutzt werden?\n - YouTube-Kanal\n - TikTok-Account\n - Instagram\n - Facebook Page\n7. Sind die Accounts neu oder bestehend?\n8. Schweiz-basierter TikTok-Account? Dann prüfen wir Creator Rewards Eligibility in der App.\n\n## Posting-Regeln\n\n9. Darf ich nach Freigabe automatisch posten?\n10. Standard-Freigabeformat:\n - `Freigabe alle`\n - `Freigabe YouTube`\n - `Freigabe TikTok`\n - `Ablehnen`\n - `Ändern: ...`\n11. Soll ich Videos zunächst private/unlisted hochladen?\n\n## Brand-Regeln\n\n12. Stimme:\n - männlich, warm\n - männlich, ruhig\n - energisch\n - deutsch/englisch\n13. Musikstil:\n - cinematic\n - lofi\n - ambient\n - faith/worship-inspiriert, aber copyright-safe\n14. No-Go-Themen:\n - Politik?\n - Gesundheit?\n - Theologie-Debatten?\n - kontroverse KI-Themen?\n15. Bibelübersetzung / Faith-Tonalität:\n - evangelikal\n - katholisch-neutral\n - allgemein christlich\n - minimal-konfessionell\n\n---\n\n# 9. Mein vorgeschlagener nächster Schritt\n\nIch schlage vor:\n\n## Nächste Arbeitsphase\n\nIch setze das GitHub-Repo sauber auf und implementiere zuerst:\n\n1. Projektstruktur\n2. `.gitignore`\n3. Strategy-Dateien für die drei Säulen\n4. Script-Idea Generator\n5. Quality-Gate\n6. Telegram-Review-Format als Markdown/JSON\n7. erste 9 Test-Scripts als Drafts\n\nNoch **ohne automatisches Posting**.\n\nDanach sende ich dir die ersten 3 fertigen Script-Drafts hier im Topic zur Auswahl. Wenn du die Tonalität abnickst, bauen wir Rendering + Telegram Preview Loop.\n\nMeine Empfehlung für den ersten echten Testbatch:\n\n- 3 Videos Life Optimization\n- 3 Videos AI Life Systems\n- 3 Videos FaithTok\n- je eines davon als 60–75s TikTok-Rewards-Kandidat\n- Rest 25–45s für Growth\n\nSo bekommen wir schnell Daten, statt Monate an einer perfekten Maschine zu basteln, die dann perfekte Videos produziert, die niemand anschaut. Eine tragische, aber technisch saubere Form des Scheiterns — also vermeiden wir sie.",
"reasoning": "**Developing test strategies**\n\nI’m thinking about writing a file with test ideas since the user asked for developing test strategies and next steps. Creating a project document in the repo sounds like a good action plan, possibly in markdown. I’m considering keeping it concise and aiming for about 30 test ideas, avoiding tables since they don’t work well in Telegram. For YouTube, I need to include details about OAuth, permissions, and the YT Data API. TikTok will require its developer app and specific app review too.\n**Exploring posting options**\n\nI'm considering the requirements for posting on Instagram and Facebook, which involve having a professional Instagram account connected to a Facebook page, ensuring the right permissions are set. For TikTok, I think about a self-post preview process that could involve user approval. YouTube is easier with its API, while TikTok's direct posting is more complex. I also want to mention monetization requirements in Switzerland since TikTok Creator Rewards may not be available there. I should verify if Switzerland is eligible for these features.\n**Evaluating monetization requirements**\n\nI’m considering monetization for YouTube and TikTok, especially in Switzerland. For YouTube, I find that the minimum video length for Shorts is between 0 to 3 minutes, while monetization doesn’t have a set minimum but depends on views. For TikTok, rewards kick in with videos at least 1 minute long and 1,000 qualified views. Growth algorithms usually favor shorter content, so I should focus on 25-45 seconds for TikTok and occasionally 60-75 seconds for monetization, while remembering that Shorts views don’t contribute to the 4k hours needed for long-form content.",
"reasoning_content": "**Developing test strategies**\n\nI’m thinking about writing a file with test ideas since the user asked for developing test strategies and next steps. Creating a project document in the repo sounds like a good action plan, possibly in markdown. I’m considering keeping it concise and aiming for about 30 test ideas, avoiding tables since they don’t work well in Telegram. For YouTube, I need to include details about OAuth, permissions, and the YT Data API. TikTok will require its developer app and specific app review too.\n**Exploring posting options**\n\nI'm considering the requirements for posting on Instagram and Facebook, which involve having a professional Instagram account connected to a Facebook page, ensuring the right permissions are set. For TikTok, I think about a self-post preview process that could involve user approval. YouTube is easier with its API, while TikTok's direct posting is more complex. I also want to mention monetization requirements in Switzerland since TikTok Creator Rewards may not be available there. I should verify if Switzerland is eligible for these features.\n**Evaluating monetization requirements**\n\nI’m considering monetization for YouTube and TikTok, especially in Switzerland. For YouTube, I find that the minimum video length for Shorts is between 0 to 3 minutes, while monetization doesn’t have a set minimum but depends on views. For TikTok, rewards kick in with videos at least 1 minute long and 1,000 qualified views. Growth algorithms usually favor shorter content, so I should focus on 25-45 seconds for TikTok and occasionally 60-75 seconds for monetization, while remembering that Shorts views don’t contribute to the 4k hours needed for long-form content.",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqEMrZq9GoKN_ypPZvYiW4yzdTdPN6mKZyd-s4RlmXvEQC0XjgcmKq5J_GsZbDFAnM4hktKKca6aoXuKh430-IzPZesDQjQVTIfkmsTFhXD7_vGA7jIDpLAXXw_1gTIt9PRjsI3n5UqgYPax6dadMMOlf9WFUSb1a4xmW8mxpB8HrVtRot3m2JQ0mNm0ET8IsyO4BG907DCB0L-NG5jTdgzq01-xwJKY4CskqnY2IHaeTVBCIRaN3wxn74aQKZJ0Pev0xSOVgMd8KEFFw2Q6BM8gcHbqphWbkBA3oWgvq66SYGefh_9lgMe1yu9kRYJTPpgiliPlWSLM6OqLHmPzlWqMSpl9Lk9O-iyiSciAkf-WvxLH76i2P5_BTOaPE361ulUiajCcqaYabLl4DXcBMzGPSDQ9XQwaqi-Z6uLuy4ztjfvO6i517GWAxHak73E4hyqCWZxYT4ioH4qZC5Sqj_HRJk4vi0H8UWxuR4czvE7Ul0lFmljW7UFBhoQ4kOrWsDHQtahSNjtfKWyOz_h2PRyRgLfGNYcHiWLU6cpMMZ3jJ-lL1dJwmweRzuigiAgAZ7T6I3WYhPaklw0L3C_BOI75AqZX8eTjnjJSdeStg2d6L6iOkczoNqMi-dXtENAVbEC5wGuoPZ0c-zv-dDuFDa52_NKCvBjWBPYZBK68bC1ErCIGkiHPcUbM8GVxpQjSNV2RS_GgoeRbwo06FriDtolOnfpIRUOfuUPvjnVaUsT-ANxtmDJzw86ZC1cEi3nk4kNUsgEwI_V-pxt8WeeJcS1QA0sai41imvjMa0fedwiztF9YhxAgg54WGuPgimS2297CP51_BuqeYFz1kGiMVCOFi82GvumtcGUCTuW1PnoSHEy5mC5JkCBQqXWXW29NkpgfOMH1vGvce5J_FNl2xsG4n7z293cJxSdlhYqqShThrb3Kum07ZPs8XjWkUu3XIAjazlOptYLV7b6wWVg0YPR1K6_7l94JDZOvkldbcX8k2AY1N1exz4csKHRc7lOJRHvJemLeZAl8fuMX_AD-3al8ScJNmLPq2w7Z6RjX7VeyPYyp5uinWJeuPk3ovhJL0Pjp9Cb6Dim2E7bM-MVk2E9eNjtJOtMtNwlQ4BWRytj9eZ9op0jr9waKYlhnNU2-dLJ1uc_FY3h4v5-NFX8nWexEo1b61Rc2zpslpgV8ptzg4fU40c0XNgQWt2xkk-PtgW6rvv-BWp-AN1vwQywK2yQvQ_a1q-NFYqWnyyqi34VsREbTsaW9cC6dChMzuFhfea9EKC0cJiUiwu5AujC0IKf7vT22aUp2C4BqLqzZ8ZIJy-ogW4sddN_1Z4-MwyknDizn_0uX6sqW9ZG4AiWKyyFQEvspCy-6XdxiNeBtkDxARj1hK2pO9KVSLto4iPYhYFmvyTZ9WdrOtsh9Pu3uN-8PcMom8iO_bQzr3RB9oGqfFJO5zmsXv4qHan1wge-AJW9zbWJ0bDC_PUhIF3csw8G80kJnqbyijgEaFv3bY2BfQPRJojLxCfc2n8REii6vA9efg0x7huao2sA3IglUtNjSLNq2inJOmVnr8k-SvHwYsu5zkDCd454_CqwBFGGEFPqbjiMC9WPe02TkY-h1WXf7zOImHJOPGixjpnuK6-sqDuUC2oDcSzcHCQq3ZCyAn-zq2nw0pc3s8ru4DK1ve7NK3ndKIw4RzrG8mIyRu02N0di6WWmtr_4PJ5iddkU2VZaqPCumOHv1vsUP0ebSd1e7tnprlCcveyF59ZREaRA9CiVWxviDI64UnWWkf37ow3y40Faf8j-6JX_xnd6FgJEocilW_V63uWjQkC2kwXXg_3TvUg3INjEOCGU7jX-hjdjL5hy70c1VofgDCCrCDQIcL1Tx-MacsbWFrFL1Drk8Mgdn3mgADElgYNY6nTtPe2pvRG3XrYvuautpAXE4BzVAKiecm7wWj5IymVg_RkF8tZUWkpXC2BGjfJ1UABeQEzZCs-yFXqS4fdTlEAcChEGbGMw24CX1oDhhhphWgBa_l5WWx8vkrVfAUkjPSwGViOuhX5cHdAH9SLTFICxdQbhJSiR2ei-czG3PbIU8v4sWlFbeZP_VLVllOrXwE5B1eYJwORSA8vs5TEi4oB89uKwFsYFCJlpOQ_yUFrovcF8O8Ubg6Sng5Vl5v4CGegQYEQJ2Li9Q-pH43W-Gyfd09aO70GM-ZNAx1HtCLYsBlqgvwIO_8yggLVZey2v7oG46dOrwUzRh0xbsZQpXtlTfratCA1LwTVQ4iTpJokpBsJHoPa6JJjCj8lKUDw3qeDW3-3kGETamMnotIAv4uuI4CH6k7TT45euHpMHoaKpm775344nZKA8Pr1HIxwTr02en716NaXW0kLkGm-QBQlNIEUiw7m3cSJcMfggCSGrDVebJlBDnF0lr581r9T0lQxnJPX0_e7upLc7RfD2uFWanpSZJMEBIDgS1vKkpYWcbf58MhGHEx2sVrZNBSnQ0ry0MRdY7Xjxfts72xPN1XpKLRw5Ojw9wIbRtNhxYPh4u82uFJXQMzEdeA3f7iqnJK4bys0d_6EznJBjdKavZVVxOeho-Lo3e119UrHh7juB_WqfmYGjIUHRij6fBnUjUnQXCFqRBfyPiP8R79h9yMzbpiuQmKySszjZvqmqaMWboVf9DoX6nE-nzXOX2gkMPtKZiDieNFHTMuwYGnOyKaVN0P1KvETMTVGpT3rXPW4MDqOjuNlvJtXFAZadu3QErJ_plutxKESQheGfHkhV1tOlu6qLcddVUR5mpe_1pSWBczlk_l6ilmGABJS9ObuO0PzxK-HqesjIhnVqsa4DhCJluog-QnyvEi7jIpCqnpK0rXiT87a7RQ8GmvrLJQQCfC8nEjYwClDnSCEcRy_LlyzpcN-4T5yu_-GwptrLVWPok9otf3KWQAlRHs7g4AY9AzRLiIAErWWMlHOMN7ljfLjrcdNl2XJoR3TwyhAXOzjv3ij-ueLwbW847ho_i6bc6KoCkPGQ27aWPYBqQ3TOhJhnK5GDXKiBlsOjEkKYiAHNWlPdXI637v8hjM5WHHcucKliX3MnZzpx55Z5fc2islz5oWEztIUdzZXZiZY87Tlwr2h5-t1IxIqQVK0GI7SaRXjbvtuzxJZZRIpySm8j3HY_Xc4N75i332grruCgLdurTkbGI_ROuI5IzBgTlYlZdls9xfKkc3RYqM4DexP30fxyHs6gsf76PreW5EqmeF6zlbrGfhKmZoJip99NbGy9K19ELxfxyMVPlKRZVTWPwnOgLyHZqNzLn1PegMKOjw1fNvF-kbUp2dCkEBaPCS-zKKru1nXRisfU4mSLlI3deOkKClXTJ22_17ZRFpnYvNlFwM3uN_SnvYBXKUfGyk--wRyMccMaHUxLz5d6n-kXBLBgHVXBS791CU5s7VpcKWKC6ZuWkFAVdjobMePe6JgdH9BbJTu6hIA7Ce1T95aSuqnHIPS3YSBW59WTHFjUUmtsdqRAbPSflcqGSLcmbqvA80or1Z_bAw4pfG0yzH5Td57mM3Bc488i7tQ3KaXOVlIax9bpUTwFcIZEgyvwwYAsR0SDOw5a6Nc-efkhmtaE4ti27dZkQp-v8WDfhRv6USqVfZSRJTotJx4h3EshUs8GnOvyA3eY_6zF86bLjPx1YSDlE83lVRzK2QlUkH85DUW176Afuh3THzNKnhlHAWr2vxBViVaHxou6sPpg4fGwIVEK8HtZyCbJ7GCN0fO7bG0mbEk41DsaY2Jn7zHlDrobs5WMvolz4JwC8yLTwDYpFhwxiotdsFp9PBcFbdCeXr1PuWPpA7JJibjvPQseS6gX62EEWTVFDjfYkpAOiLzZHaWvbvyJQ2mFTgFIxh2mwUQaXGtv8sxSva_bdxFvmHNY--Qpg83GoU-ETSBzyCYPOnjKrTj_RU5nOnsVjRUZIfkvKpOKaJVx3E3XJiWU8BE02cwDRjs-L0R0AOSz5rFETUgVOpOECaL7CCr4MgUvutZniUP581o-aJntvEF9KdlvLaZUadHppEm1h6SMVFyicW0xuyWHUaTR4DYPzq8gX2EqQi7JQiRMUp8wUFnWXrS21YM2YYgV86YGXOfP2SdONw9g3K-_VPUdhUDBTDeKbQjWuSrrONG0Q1SVCz1ZfL_Z8ZE3H8axwTiKUbrogq0xc5PjduB_CmgPA==",
"id": "rs_049e6b492e9f3d48016a10ca60c5248191a06407fc2850cfb9",
"summary": [
{
"type": "summary_text",
"text": "**Developing test strategies**\n\nI’m thinking about writing a file with test ideas since the user asked for developing test strategies and next steps. Creating a project document in the repo sounds like a good action plan, possibly in markdown. I’m considering keeping it concise and aiming for about 30 test ideas, avoiding tables since they don’t work well in Telegram. For YouTube, I need to include details about OAuth, permissions, and the YT Data API. TikTok will require its developer app and specific app review too."
},
{
"type": "summary_text",
"text": "**Exploring posting options**\n\nI'm considering the requirements for posting on Instagram and Facebook, which involve having a professional Instagram account connected to a Facebook page, ensuring the right permissions are set. For TikTok, I think about a self-post preview process that could involve user approval. YouTube is easier with its API, while TikTok's direct posting is more complex. I also want to mention monetization requirements in Switzerland since TikTok Creator Rewards may not be available there. I should verify if Switzerland is eligible for these features."
},
{
"type": "summary_text",
"text": "**Evaluating monetization requirements**\n\nI’m considering monetization for YouTube and TikTok, especially in Switzerland. For YouTube, I find that the minimum video length for Shorts is between 0 to 3 minutes, while monetization doesn’t have a set minimum but depends on views. For TikTok, rewards kick in with videos at least 1 minute long and 1,000 qualified views. Growth algorithms usually favor shorter content, so I should focus on 25-45 seconds for TikTok and occasionally 60-75 seconds for monetization, while remembering that Shorts views don’t contribute to the 4k hours needed for long-form content."
}
]
}
],
"codex_message_items": [
{
"type": "message",
"role": "assistant",
"status": "completed",
"content": [
{
"type": "output_text",
"text": "Ja, Sir. Ich würde daraus jetzt eine **zweigleisige Growth-Strategie** machen:\n\n1. **Follower-Aufbau:** kurze, aggressive Shorts mit hoher Retention.\n2. **Monetarisierungsfähigkeit:** parallel Formate bauen, die die Plattformregeln erfüllen — besonders TikTok verlangt für Creator Rewards längere Videos.\n\nIch habe die aktuellen offiziellen Anforderungen geprüft.\n\n---\n\n## 1. Monetarisierung: YouTube Shorts\n\nQuelle: YouTube-Hilfe / YouTube Partner Program.\n\n### YouTube Partner Program — volle Monetarisierung\n\nFür Bewerbung über Shorts aktuell:\n\n- **1.000 Abonnenten**\n- **10 Millionen gültige öffentliche Shorts-Aufrufe in den letzten 90 Tagen**\n\nAlternative über Longform:\n\n- **1.000 Abonnenten**\n- **4.000 gültige öffentliche Wiedergabestunden in den letzten 12 Monaten**\n\nWichtig:\n\n- Shorts-Aufrufe im Shorts-Feed zählen **nicht** zu den 4.000 Longform-Wiedergabestunden.\n- YouTube Shorts können seit Oktober 2024 bis zu **3 Minuten** lang sein, wenn sie vertikal oder quadratisch sind.\n- Shorts mit max. 3 Minuten können im Shorts-Feed und über Shorts-Revenue-Sharing monetarisiert werden, sofern der Kanal im YPP ist.\n\n### Konsequenz für uns\n\nFür YouTube ist die Videolänge strategisch flexibel:\n\n- **20–35 Sekunden:** beste Chance für hohe Completion Rate und Rewatches.\n- **45–60 Sekunden:** gut für tiefere Gedanken, FaithTok, Storytelling.\n- **60–120 Sekunden:** möglich, aber nur wenn Hook und Retention stark sind.\n\nYouTube belohnt nicht einfach Länge, sondern vor allem:\n\n- Swipe-Stop\n- Watchtime relativ zur Länge\n- Rewatch\n- Shares\n- Kommentare\n- Kanal-Fit\n\n---\n\n## 2. Monetarisierung: TikTok\n\nQuelle: TikTok Creator Rewards Program Terms, Stand Apr 2025.\n\n### TikTok Creator Rewards Program\n\nVoraussetzungen laut TikTok:\n\n- Wohnsitz in einem Land, in dem Creator Rewards verfügbar ist\n- kein VPN/ähnliches Tool\n- mindestens **10.000 echte Follower**\n- mindestens **100.000 echte Videoaufrufe in den letzten 30 Tagen**\n- Account ist **kein Business Account**\n- Account in good standing\n- Einhaltung Community Guidelines / Terms\n\n### Video-Anforderungen für Rewards\n\nEin Video kann Rewards sammeln, wenn:\n\n- es **mindestens 1 Minute lang** ist\n- es mindestens **1.000 qualified views** erreicht\n- kein Duet/Stitch\n- kein Photo Mode\n- keine Anzeige / paid promotion / sponsored content\n- originaler, hochwertiger Content\n- keine Policy-Verstöße\n\n### Wichtiger Schweiz-Punkt\n\nTikTok Creator Rewards ist nicht überall verfügbar. Die offizielle Seite spricht von „selected countries“. Für einen Schweizer Account müssten wir in der TikTok-App bzw. im Creator Center prüfen, ob das Programm konkret verfügbar ist.\n\n### Konsequenz für uns\n\nTikTok hat einen Zielkonflikt:\n\n- Kurze 20–40s Videos wachsen oft leichter.\n- Rewards gibt es aber nur für **1min+ Videos**.\n\nDaher:\n\n- **Growth Shorts:** 20–45s\n- **Monetization Candidates:** 61–75s\n- Sobald ein Format funktioniert, machen wir davon eine 1min+ Version für TikTok Rewards.\n\n---\n\n## 3. Weitere Kanäle, die infrage kommen\n\n### Instagram Reels\n\nSehr sinnvoll für Zweitverwertung.\n\nVorteile:\n\n- gleiche 9:16 Assets\n- guter Kanal für Faith, Lifestyle, Motivation\n- starke Share-/Save-Kultur\n\nNachteile:\n\n- direkte Reels-Monetarisierung ist je nach Land/Programm wechselhaft\n- oft eher indirekte Monetarisierung: Affiliate, Newsletter, eigene Produkte\n\nEmpfehlung: **mitnehmen**, aber nicht primär auf Plattform-Payout setzen.\n\n---\n\n### Facebook Reels\n\nInteressant für ältere Zielgruppen und christliche Inhalte.\n\nVorteile:\n\n- Faith/Family/Life-Advice funktioniert dort teilweise sehr gut\n- Reels können über Facebook-Seiten zusätzlich Reichweite bringen\n\nNachteile:\n\n- Monetarisierungsprogramme sind abhängig von Land, Seite, Policy und Einladung/Eligibility\n- jüngere Zielgruppe schwächer\n\nEmpfehlung: Für Faith/Life-Optimization sehr brauchbar als zusätzlicher Kanal.\n\n---\n\n### Pinterest Idea Pins / Video Pins\n\nFür Evergreen-Content interessant:\n\n- Life hacks\n- Routinen\n- Bibelverse\n- Checklisten\n- AI workflows\n\nMonetarisierung eher indirekt:\n\n- Traffic\n- Newsletter\n- digitale Produkte\n- Affiliate\n\nEmpfehlung: später, wenn wir wiederverwendbare Templates haben.\n\n---\n\n### X / Twitter Video\n\nFür KI-Content interessant, weniger für klassische Shorts.\n\nGut für:\n\n- AI Tools\n- Agenten-Demos\n- Thread + Video\n- Build-in-public\n\nMonetarisierung möglich, aber nicht unser Primärkanal.\n\n---\n\n### LinkedIn Video\n\nFür AI/Productivity eventuell stark.\n\nGut für:\n\n- „AI for work“\n- Automationen\n- Management/Leadership\n- praktische Workflows\n\nNicht ideal für FaithTok, außer sehr sauber formuliert.\n\n---\n\n### Snapchat Spotlight\n\nKann für virale Kurzclips funktionieren, aber weniger passend für unsere strategischen Themen.\n\n---\n\n## Meine Plattform-Empfehlung\n\n### Phase 1: Start mit 3 Kernplattformen\n\n- **YouTube Shorts**\n- **TikTok**\n- **Instagram Reels**\n\n### Phase 2: Erweiterung\n\n- Facebook Reels für Faith/Life\n- LinkedIn für AI/Productivity\n- Pinterest für Evergreen-Checklisten\n\n---\n\n# 4. Die 30 Test-Ideen\n\nIch würde die ersten Tests bewusst in drei Content-Säulen splitten:\n\n1. **Life Optimization**\n2. **AI Life Systems**\n3. **FaithTok / Christian Life**\n\nJede Idee ist als 20–45s Growth Short gedacht. Gute Gewinner können wir danach als 61–75s TikTok-Rewards-Version ausbauen.\n\n---\n\n## A) 10 Ideen: Life Optimization\n\n### 1. „Du brauchst keine Motivation“\n\n- **Hook:** „Wenn du immer auf Motivation wartest, hast du das System schon verloren.“\n- **Script-Kern:** Motivation ist Wetter. Systeme sind Architektur. Lege Kleidung, Wasser, Kalender und erste Aufgabe am Vorabend bereit.\n- **Visual:** dunkler Morgen, Handy auf Tisch, vorbereitete Kleidung, Kaffee.\n- **CTA:** „Was ist dein kleinstes System, das wirklich funktioniert?“\n- **Score:** 8/10\n\n---\n\n### 2. „Der 2-Minuten-Reset gegen Chaos im Kopf“\n\n- **Hook:** „Wenn dein Kopf 47 Tabs offen hat, mach genau das.“\n- **Script-Kern:** Papier nehmen, alles aus dem Kopf schreiben, 1 Sache einkreisen, 2 Minuten starten.\n- **Visual:** Schreibtisch, Notizzettel, Timer, ruhige Kamera.\n- **CTA:** „Speichern für den nächsten mentalen Overload.“\n- **Score:** 9/10\n\n---\n\n### 3. „Warum To-do-Listen dich stressen“\n\n- **Hook:** „Deine To-do-Liste ist vielleicht kein Plan. Sie ist eine Angst-Sammlung.“\n- **Script-Kern:** To-dos in drei Kategorien: jetzt, später, löschen. Nur eine nächste Aktion.\n- **Visual:** chaotische Liste wird auf drei Karten sortiert.\n- **CTA:** „Welche Aufgabe gehört eigentlich gelöscht?“\n- **Score:** 8/10\n\n---\n\n### 4. „Die erste Stunde entscheidet nicht alles — aber viel“\n\n- **Hook:** „Wenn du morgens direkt ans Handy gehst, startet jemand anderes deinen Tag.“\n- **Script-Kern:** 20 Minuten ohne Input: Wasser, Licht, Bewegung, eine Priorität.\n- **Visual:** Handy face down, Fensterlicht, Glas Wasser.\n- **CTA:** „Morgen testen: 20 Minuten ohne fremde Stimmen.“\n- **Score:** 8/10\n\n---\n\n### 5. „Du bist nicht faul, du bist friction-overloaded“\n\n- **Hook:** „Faulheit ist oft nur zu viel Reibung zwischen dir und dem nächsten Schritt.“\n- **Script-Kern:** Umgebung so bauen, dass gute Dinge leichter und schlechte Dinge schwerer werden.\n- **Visual:** Süßigkeiten weg, Buch sichtbar, App versteckt.\n- **CTA:** „Welche Reibung solltest du heute entfernen?“\n- **Score:** 8/10\n\n---\n\n### 6. „Der Anti-Doomscrolling-Trick“\n\n- **Hook:** „Wenn du TikTok öffnest und 40 Minuten verlierst, probier diesen hässlichen Trick.“\n- **Script-Kern:** Smartphone auf Graustufen, Apps aus Home Screen, Ladegerät außerhalb Schlafzimmer.\n- **Visual:** Handyfarbe wechselt zu grau, Schlafzimmer ohne Handy.\n- **CTA:** „Willst du eine 7-Tage-Digital-Reset-Serie?“\n- **Score:** 9/10\n\n---\n\n### 7. „Ein Satz gegen Überforderung“\n\n- **Hook:** „Wenn alles wichtig wirkt, frag dich diesen einen Satz.“\n- **Script-Kern:** „Was wäre heute genug?“ Definiert Minimum statt Perfektion.\n- **Visual:** Kalender voll, dann ein einzelner markierter Task.\n- **CTA:** „Was wäre heute genug für dich?“\n- **Score:** 7/10\n\n---\n\n### 8. „Warum dein Abend deinen Morgen sabotiert“\n\n- **Hook:** „Morgenprobleme entstehen oft gestern Abend.“\n- **Script-Kern:** 10-Minuten-Shutdown: Tasche, Kleidung, Kalender, erster Task.\n- **Visual:** Abendroutine, gedimmtes Licht, Arbeitsplatz schließen.\n- **CTA:** „Speichern und heute Abend testen.“\n- **Score:** 8/10\n\n---\n\n### 9. „Der Kalender lügt nicht“\n\n- **Hook:** „Du sagst, dir ist etwas wichtig. Dein Kalender sagt die Wahrheit.“\n- **Script-Kern:** Werte brauchen Zeitblöcke. Ohne Termin bleibt es Wunschdenken.\n- **Visual:** Kalender mit Familie, Sport, Gebet/Fokuszeit.\n- **CTA:** „Was sollte in deinem Kalender stehen?“\n- **Score:** 8/10\n\n---\n\n### 10. „Stop optimizing everything“\n\n- **Hook:** „Nicht alles in deinem Leben muss optimiert werden.“\n- **Script-Kern:** Optimiere Energie, Schlaf, Fokus — aber lass Raum für Freude, Familie, Glauben, Spiel.\n- **Visual:** Produktivitätssetup vs. Spaziergang/Familienmoment.\n- **CTA:** „Was willst du bewusst nicht optimieren?“\n- **Score:** 9/10\n\n---\n\n## B) 10 Ideen: AI Life Systems\n\n### 11. „Use AI like a servant, not like a god“\n\n- **Hook:** „KI ist ein schlechter Gott, aber ein ziemlich guter Diener.“\n- **Script-Kern:** KI soll strukturieren, erinnern, entwerfen — nicht Werte, Glauben oder Gewissen ersetzen.\n- **Visual:** Mensch schreibt Ziele, KI sortiert Aufgaben.\n- **CTA:** „Wofür nutzt du KI — Diener oder Chef?“\n- **Score:** 10/10\n\n---\n\n### 12. „Der beste Prompt ist keine Magie“\n\n- **Hook:** „Der beste Prompt beginnt nicht mit ‚act as‘. Er beginnt mit Kontext.“\n- **Script-Kern:** Ziel, Rolle, Input, Constraints, Outputformat.\n- **Visual:** Prompt-Bausteine erscheinen als Cards.\n- **CTA:** „Soll ich daraus eine Prompt-Serie machen?“\n- **Score:** 8/10\n\n---\n\n### 13. „KI gegen mental overload“\n\n- **Hook:** „Wenn dein Kopf zu laut ist, lass KI nicht denken — lass sie sortieren.“\n- **Script-Kern:** Brain dump → Kategorien → nächste Aktion → Kalenderblock.\n- **Visual:** chaotischer Text wird zu klarer Liste.\n- **CTA:** „Kommentar ‚RESET‘ für das Prompt-Template.“\n- **Score:** 9/10\n\n---\n\n### 14. „Dieser Prompt spart jeden Morgen 15 Minuten“\n\n- **Hook:** „Ich würde keinen Morgen mehr ohne diesen KI-Check starten.“\n- **Script-Kern:** Kalender + Aufgaben + Energielevel → Tagesplan mit Top 3.\n- **Visual:** Morning dashboard, Kaffee, Kalender.\n- **CTA:** „Willst du die genaue Vorlage?“\n- **Score:** 9/10\n\n---\n\n### 15. „AI won’t fix your life“\n\n- **Hook:** „KI wird dein Leben nicht reparieren, wenn dein System Müll ist.“\n- **Script-Kern:** KI verstärkt Prozesse. Erst Klarheit, dann Automatisierung.\n- **Visual:** chaotischer Schreibtisch + glänzender Roboter nutzlos.\n- **CTA:** „Automatisierst du schon — oder sortierst du noch?“\n- **Score:** 8/10\n\n---\n\n### 16. „Die 3 KI-Agenten, die jeder braucht“\n\n- **Hook:** „Du brauchst keine 50 Tools. Du brauchst 3 digitale Rollen.“\n- **Script-Kern:** Planer, Kritiker, Archivar.\n- **Visual:** drei Karten/Avatare: Planner, Reviewer, Memory.\n- **CTA:** „Welchen Agenten soll ich als erstes bauen?“\n- **Score:** 9/10\n\n---\n\n### 17. „KI für Christen? Ja, aber…“\n\n- **Hook:** „Christen sollten KI nutzen — aber nicht naiv.“\n- **Script-Kern:** Stewardship: Zeit sparen, besser dienen, aber Wahrheit/Gewissen nicht auslagern.\n- **Visual:** Bibel, Laptop, Notizen.\n- **CTA:** „Wo liegt für dich die Grenze?“\n- **Score:** 10/10\n\n---\n\n### 18. „Der Prompt für bessere Entscheidungen“\n\n- **Hook:** „Bevor du eine große Entscheidung triffst, lass KI diese 5 Fragen stellen.“\n- **Script-Kern:** Fakten, Annahmen, Risiken, Alternativen, Werte.\n- **Visual:** Entscheidungsbaum.\n- **CTA:** „Speichern vor der nächsten schweren Entscheidung.“\n- **Score:** 8/10\n\n---\n\n### 19. „KI als Gewissen? Gefährlich.“\n\n- **Hook:** „Wenn KI dein Gewissen ersetzt, hast du nicht Zeit gewonnen — du hast Autorität abgegeben.“\n- **Script-Kern:** KI kann Optionen zeigen, aber Werte müssen vom Menschen kommen.\n- **Visual:** Mensch vor Weggabelung, KI nur als Karte.\n- **CTA:** „Tool oder Autorität — wo ist deine Linie?“\n- **Score:** 9/10\n\n---\n\n### 20. „Dein persönlicher JARVIS in 60 Sekunden“\n\n- **Hook:** „Ein echter AI-Butler ist nicht ein Chatfenster. Es ist ein System.“\n- **Script-Kern:** Memory, Kalender, Aufgaben, Regeln, Freigabe vor Side Effects.\n- **Visual:** Systemdiagramm animiert.\n- **CTA:** „Soll ich zeigen, wie man so etwas baut?“\n- **Score:** 10/10\n\n---\n\n## C) 10 Ideen: FaithTok / Christian Life\n\n### 21. „God is not asking you to perform exhaustion“\n\n- **Hook:** „Vielleicht will Gott heute nicht mehr Leistung von dir. Vielleicht will er Ehrlichkeit.“\n- **Script-Kern:** Burnout, Gebet ohne Maske, Ruhe ist nicht Untreue.\n- **Visual:** müde Person am Tisch, Bibel, Morgenlicht.\n- **CTA:** „Send this to someone who is tired of pretending.“\n- **Score:** 10/10\n\n---\n\n### 22. „When anxiety says X“\n\n- **Hook:** „Anxiety says: you are alone. Scripture says: I am with you.“\n- **Script-Kern:** kurzer Call-and-response zwischen Angst und Verheißung.\n- **Visual:** dunkler Raum → Licht am Fenster.\n- **CTA:** „Which line did you need today?“\n- **Score:** 9/10\n\n---\n\n### 23. „Jesus was not impressed by productivity theater“\n\n- **Hook:** „Jesus was never impressed by people looking busy.“\n- **Script-Kern:** Martha/Mary-Prinzip: Aktivität ist nicht automatisch Treue.\n- **Visual:** hektischer Desk vs. ruhige Gegenwart.\n- **CTA:** „Busy or faithful — what are you chasing?“\n- **Score:** 10/10\n\n---\n\n### 24. „Discipline without grace becomes pride“\n\n- **Hook:** „Disziplin ohne Gnade macht dich nicht heilig. Sie macht dich hart.“\n- **Script-Kern:** Christliche Disziplin braucht Liebe, nicht Selbstvergötterung.\n- **Visual:** Kalender, Bibel, weiches Licht.\n- **CTA:** „Save this if discipline has become heavy.“\n- **Score:** 9/10\n\n---\n\n### 25. „God’s silence is not God’s absence“\n\n- **Hook:** „If God feels silent, it does not mean He left.“\n- **Script-Kern:** Stille als Formung, nicht Ablehnung.\n- **Visual:** leere Kirche, ruhige Natur.\n- **CTA:** „Comment ‘amen’ if you’re in the waiting.“\n- **Score:** 9/10\n\n---\n\n### 26. „Stop confusing peace with comfort“\n\n- **Hook:** „Peace is not always comfort. Sometimes peace is obedience while your hands still shake.“\n- **Script-Kern:** Mut, Gehorsam, Angst nicht als Stoppsignal missverstehen.\n- **Visual:** Person geht durch Regen/Licht.\n- **CTA:** „What step are you avoiding?“\n- **Score:** 10/10\n\n---\n\n### 27. „You are not behind“\n\n- **Hook:** „You are not behind. You are being formed.“\n- **Script-Kern:** Vergleich zerstört Berufung. Gottes Timing ist nicht Algorithmus-Timing.\n- **Visual:** Samen/Pflanze, Kalenderseiten.\n- **CTA:** „Send this to someone who feels late.“\n- **Score:** 9/10\n\n---\n\n### 28. „A prayer for people who can’t focus“\n\n- **Hook:** „If your mind will not stop racing, pray this slowly.“\n- **Script-Kern:** kurzes Gebet: Lord, gather my scattered mind…\n- **Visual:** Close-up Hände, Notizbuch, ruhige Musik.\n- **CTA:** „Save this prayer for later.“\n- **Score:** 9/10\n\n---\n\n### 29. „Faith is not a productivity hack“\n\n- **Hook:** „Faith is not here to make you more efficient. It is here to make you more faithful.“\n- **Script-Kern:** Glaube nicht instrumentalisieren; Frucht statt Performance.\n- **Visual:** Laptop wird geschlossen, Bibel bleibt offen.\n- **CTA:** „Needed this reminder?“\n- **Score:** 9/10\n\n---\n\n### 30. „The algorithm wants your attention. God wants your heart.“\n\n- **Hook:** „The algorithm wants your attention. God wants your heart.“\n- **Script-Kern:** Digitaler Lärm vs. geistliche Ausrichtung. Aufmerksamkeit ist Anbetungskapital.\n- **Visual:** Handy-Scrollen → Stille/Gebet.\n- **CTA:** „What gets your first attention every morning?“\n- **Score:** 10/10\n\n---\n\n# 5. Meine Auswahl für die ersten 9 Tests\n\nIch würde nicht alle 30 sofort produzieren. Wir testen zuerst je 3 pro Säule:\n\n## Life Optimization\n\n1. „Der 2-Minuten-Reset gegen Chaos im Kopf“\n2. „Der Anti-Doomscrolling-Trick“\n3. „Stop optimizing everything“\n\n## AI Life Systems\n\n1. „Use AI like a servant, not like a god“\n2. „KI gegen mental overload“\n3. „Dein persönlicher JARVIS in 60 Sekunden“\n\n## FaithTok\n\n1. „God is not asking you to perform exhaustion“\n2. „Jesus was not impressed by productivity theater“\n3. „The algorithm wants your attention. God wants your heart.“\n\nDiese neun haben die beste Mischung aus:\n\n- starker Hook\n- Identität\n- Kommentar-Potenzial\n- Serienfähigkeit\n- Monetarisierungsnähe\n\n---\n\n# 6. Nächste technische Schritte\n\n## Schritt 1: Repo sauber aufsetzen\n\nIch würde als Nächstes das leere GitHub-Repo strukturieren:\n\n```text\nAutoShortsBot/\n autoshorts/\n config/\n ideas/\n scripting/\n rendering/\n review/\n publishing/\n analytics/\n configs/\n niches/\n platforms/\n data/\n drafts/\n performance/\n scripts/\n tests/\n README.md\n .gitignore\n pyproject.toml\n```\n\nWichtig:\n\n- keine `.env`\n- keine Secrets\n- keine fertigen Videos im Git\n- keine Tokens\n- Outputs lokal oder Drive/S3-artig speichern\n\n---\n\n## Schritt 2: Content-Strategy v2\n\nWir ersetzen das aktuelle `content_strategy.json` durch modularere Strategie-Dateien:\n\n- `life_optimization.yaml`\n- `ai_life_systems.yaml`\n- `faithtok.yaml`\n\nMit Feldern:\n\n- Zielgruppe\n- Tonalität\n- No-Go-Liste\n- Hook-Patterns\n- CTA-Patterns\n- visuelle Regeln\n- erlaubte Bibel-/Faith-Tonalität\n- Plattform-Ziel\n\n---\n\n## Schritt 3: Script Quality Gate\n\nVor dem Rendering bekommt jedes Script einen Score:\n\n- Hook-Stärke\n- Novelty\n- emotionaler Pull\n- Klarheit\n- Retention-Risiko\n- Kommentar-Potenzial\n- AI-slop-Risiko\n- Policy-Risiko\n\nNur Scripts ab z.B. **8/10** werden gerendert.\n\n---\n\n## Schritt 4: Telegram Review Loop\n\nPipeline:\n\n1. Bot generiert Script + Visual Plan.\n2. Bot rendert Preview.\n3. Bot sendet per Telegram:\n - Video-Datei\n - Titel\n - Caption\n - Hashtags\n - Plattformvorschlag\n - Risiko-/Quality-Score\n4. Du antwortest:\n - `Freigabe YouTube`\n - `Freigabe TikTok`\n - `Freigabe alle`\n - oder `ändern: ...`\n5. Erst danach wird gepostet.\n\nKeine automatische Veröffentlichung ohne deine explizite Freigabe. Wir sind zivilisiert, nicht Meta Ads Manager.\n\n---\n\n## Schritt 5: Analytics Loop\n\nNach Veröffentlichung erfassen wir manuell oder per API:\n\n- Plattform\n- Titel\n- Hook\n- Nische\n- Format\n- Dauer\n- Views nach 2h / 24h / 7d\n- Likes\n- Kommentare\n- Shares\n- Follows\n- Retention, falls verfügbar\n\nDann optimiert der Bot die nächsten Videos datenbasiert.\n\n---\n\n# 7. Was ich von dir brauche, damit ich selbstständig posten kann\n\n## A) YouTube\n\nFür echtes automatisiertes Posting brauche ich:\n\n1. **Google/YouTube-Kanalzugriff**\n - Der Account muss Zugriff auf den gewünschten YouTube-Kanal haben.\n - Idealerweise Brand Account / Channel Manager Zugriff.\n\n2. **YouTube Data API aktiviert**\n - Google Cloud Project\n - YouTube Data API v3\n - OAuth Client\n\n3. **OAuth-Freigabe**\n - Scope für Upload:\n - `https://www.googleapis.com/auth/youtube.upload`\n - ggf. zusätzlich:\n - `https://www.googleapis.com/auth/youtube`\n - `https://www.googleapis.com/auth/youtube.force-ssl`\n\n4. **Kanal-Defaults**\n - Sprache\n - Land\n - Kategorie\n - Standard-Description\n - Hashtag-Stil\n - „Made for Kids?“: vermutlich **Nein**, falls kein Kindercontent\n - Public / Unlisted / Private Default\n\nMeine Empfehlung:\n\n- Ich lade Videos zunächst als **private** oder **unlisted** hoch.\n- Nach deiner Telegram-Freigabe setze ich sie auf **public**.\n- Alternativ: Ich poste erst nach Freigabe direkt public.\n\n---\n\n## B) TikTok\n\nTikTok ist komplizierter.\n\nFür automatisches Posting gibt es zwei Wege:\n\n### Option 1: Offizielle TikTok Content Posting API\n\nBenötigt:\n\n- TikTok Developer Account\n- App im TikTok Developer Portal\n- Login Kit / OAuth\n- Scopes wie:\n - `video.upload`\n - `video.publish`\n- App Review / Freischaltung je nach Nutzung\n- Verbindung mit deinem TikTok-Account\n\nVorteil:\n\n- sauber und offiziell\n\nNachteil:\n\n- Setup und Freischaltung können nerven, weil Plattformbetreiber offenbar glauben, Entwickler hätten zu viel Lebensfreude.\n\n---\n\n### Option 2: Drittanbieter-Scheduler\n\nZum Beispiel:\n\n- Buffer\n- Metricool\n- Later\n- Publer\n- Hootsuite\n\nBenötigt:\n\n- Account beim Scheduler\n- verbundene Social Accounts\n- API-Key oder Workflow-Zugang, falls verfügbar\n\nVorteil:\n\n- oft einfacher\n- Multi-Plattform geplant\n\nNachteil:\n\n- Kosten\n- API-Zugriff je nach Anbieter eingeschränkt\n- direkte Freigabe-Workflows müssen wir prüfen\n\n---\n\n### Option 3: Halbautomatisch\n\nIch sende dir:\n\n- fertiges `.mp4`\n- Titel\n- Caption\n- Hashtags\n- Posting-Zeit\n- Plattform-Empfehlung\n\nDu postest manuell.\n\nVorteil:\n\n- sofort möglich\n- kein API-Kampf\n\nNachteil:\n\n- nicht vollautomatisch\n\nFür den Start würde ich Option 3 oder YouTube-Automation zuerst nehmen, TikTok danach.\n\n---\n\n## C) Instagram Reels / Facebook Reels\n\nBenötigt:\n\n- Instagram Professional Account\n- Verbindung mit Facebook Page\n- Meta Developer App\n- Graph API Permissions, typischerweise:\n - `instagram_basic`\n - `instagram_content_publish`\n - `pages_show_list`\n - `pages_read_engagement`\n - ggf. `business_management`\n- Long-lived access token\n- App Review je nach Setup\n\nEmpfehlung:\n\n- Zuerst YouTube + manuelles TikTok/Instagram.\n- Danach Meta Publishing automatisieren.\n\n---\n\n# 8. Was ich konkret von dir brauche\n\nBitte liefere mir später — nicht zwingend alles sofort — diese Entscheidungen:\n\n## Kanal / Marke\n\n1. Kanalname oder Arbeitstitel?\n2. Sprache:\n - Deutsch\n - Englisch\n - beides getrennt\n3. Soll es sichtbar christlich sein oder subtil?\n4. Darf der Kanal eine AI-/JARVIS-Persona haben?\n5. Soll deine Person sichtbar/erwähnt werden oder komplett Brand/Faceless?\n\n## Plattformen\n\n6. Welche Accounts sollen genutzt werden?\n - YouTube-Kanal\n - TikTok-Account\n - Instagram\n - Facebook Page\n7. Sind die Accounts neu oder bestehend?\n8. Schweiz-basierter TikTok-Account? Dann prüfen wir Creator Rewards Eligibility in der App.\n\n## Posting-Regeln\n\n9. Darf ich nach Freigabe automatisch posten?\n10. Standard-Freigabeformat:\n - `Freigabe alle`\n - `Freigabe YouTube`\n - `Freigabe TikTok`\n - `Ablehnen`\n - `Ändern: ...`\n11. Soll ich Videos zunächst private/unlisted hochladen?\n\n## Brand-Regeln\n\n12. Stimme:\n - männlich, warm\n - männlich, ruhig\n - energisch\n - deutsch/englisch\n13. Musikstil:\n - cinematic\n - lofi\n - ambient\n - faith/worship-inspiriert, aber copyright-safe\n14. No-Go-Themen:\n - Politik?\n - Gesundheit?\n - Theologie-Debatten?\n - kontroverse KI-Themen?\n15. Bibelübersetzung / Faith-Tonalität:\n - evangelikal\n - katholisch-neutral\n - allgemein christlich\n - minimal-konfessionell\n\n---\n\n# 9. Mein vorgeschlagener nächster Schritt\n\nIch schlage vor:\n\n## Nächste Arbeitsphase\n\nIch setze das GitHub-Repo sauber auf und implementiere zuerst:\n\n1. Projektstruktur\n2. `.gitignore`\n3. Strategy-Dateien für die drei Säulen\n4. Script-Idea Generator\n5. Quality-Gate\n6. Telegram-Review-Format als Markdown/JSON\n7. erste 9 Test-Scripts als Drafts\n\nNoch **ohne automatisches Posting**.\n\nDanach sende ich dir die ersten 3 fertigen Script-Drafts hier im Topic zur Auswahl. Wenn du die Tonalität abnickst, bauen wir Rendering + Telegram Preview Loop.\n\nMeine Empfehlung für den ersten echten Testbatch:\n\n- 3 Videos Life Optimization\n- 3 Videos AI Life Systems\n- 3 Videos FaithTok\n- je eines davon als 60–75s TikTok-Rewards-Kandidat\n- Rest 25–45s für Growth\n\nSo bekommen wir schnell Daten, statt Monate an einer perfekten Maschine zu basteln, die dann perfekte Videos produziert, die niemand anschaut. Eine tragische, aber technisch saubere Form des Scheiterns — also vermeiden wir sie."
}
],
"id": "msg_049e6b492e9f3d48016a10ca6e1114819188d5f22be1e48d75",
"phase": "final_answer"
}
],
"finish_reason": "stop"
},
{
"role": "user",
"content": "[M G] Ok. Repo vorbereiten, usw. Machen wir das nach deinem vorschlag (testbatch). Schauen wir danach wie die videos werden, bevor wir uns überlegen wie wir diese posten. Zuerst halbautomatisch."
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_XxlURGVyBfrSFkmsblu9JDmM",
"call_id": "call_XxlURGVyBfrSFkmsblu9JDmM",
"response_item_id": "fc_049e6b492e9f3d48016a10cd43f95c8191a0b70e64db502925",
"type": "function",
"function": {
"name": "skill_view",
"arguments": "{\"name\":\"github-pr-workflow\"}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "**Planning GitHub repo implementation**\n\nI need to take action now! I should load relevant skills related to GitHub pull request workflows, like code writing and test-driven development. The user is asking for help implementing a repository. I'll need to inspect the repo and create files, possibly using the terminal and git. I should also be mindful to avoid exposing any secrets during this process. Let’s get this organized and make a solid plan!",
"reasoning_content": "**Planning GitHub repo implementation**\n\nI need to take action now! I should load relevant skills related to GitHub pull request workflows, like code writing and test-driven development. The user is asking for help implementing a repository. I'll need to inspect the repo and create files, possibly using the terminal and git. I should also be mindful to avoid exposing any secrets during this process. Let’s get this organized and make a solid plan!",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqEM1E43Rrs0oRpaaGsLewiOuTRyinYVIHhdkf4p2fByL_mS8vbVbJ4VfMgzh4-M5qN1SNgpA0dBpE-VUcEWVoaoJcLEH7lW33d8GRgTe6OIlyj7Ef6366YJ5e7OowWPZ9Fhlo8suxZ0XUkSdSkLi9I52szLr1HumRbDBaFv5OnQd_-rNnAUwZwTWtpHmcRWAdqXV5mPx2xWBukXJ_Bv4lqR2C1aNQ4UXmfanghLEkYFDjeOmTDAdYvqE8tFgMlkVsHSKYH75LSD6oLyknUge1515-BCsRaEEqknazSUtk_WfQC7iEMIRECqiLUjiOQnV7HmSUVT_SEF53UjNlW16dzyQJ-m0929iZoxaumSN7aG3qs2rqEKkCDBHfzdCzCJQYIk-_aEwCqBUxiBGcII1udoVOzcAK4XHgf1c9RHtST0EaJkS9yf2SQrBNRFu9tv9pTIPdFSA_nkklH9CcqjaQlSbhlKBOHD06elNXlwq3TpaXpOdhM9qo8EtOo27rnxRWsBDTXO4LHTxC9YWKdj0s296ppkvBUZjb6QNSbh-Qc85xLuGOFfW7Gb5VBsjCbXhw_uCR9bGsszcrBoVKkafwo4O3LGuPSzUyI832Ji-6YFW_yvxA0Rux0v_8xWAunOQ79T0zbaPOcSoRwZXL3cYhhPPI1LwQwiykHVL6n9ygl74w0vObQnXgBPCUJHHy_vPL1aQORUXMcVnc9xyYoBLyQlrVMeKZFoy9rJOhfv7WzElul2J4c51L1u4sXmnOImV4wG8u6cQ9Yo8fXDrIC5zcW2Cs-eOxy7A2-stHN29jUPEtVD4gUxUTXWbwSug1y95vrATkQnW47ZejpkmYTJ_XsuO1FCjFQlzCo6vfNDYBRGoEq3eKXmfMZePsKCtuYEPMaTanbRN7ceRBan4bgRbQTgHaFxth6aBwl4sFbUmp8GuNnWfzi_T593cGF6j0uB4O17gJ3gMY2MhyaE15SeEyv9-p1Qp53yu1BcdzM0qp5JBk56qNijDN8xxI_YxpGPLooZqmk0clTvu-clLWCzs0LRJYjtcXy8P4kGGO_GWoegnniq6W2ElIGRiZsUZmpZ8g5u4jlDWFIbAdKBlJd3fHrIGppE7gII4BRBLsAygjiCmJ_otnTsliGP3jN7BYcWEepS3RizHykeYOG05GwpvfiXFqmKU8asjmqOkivUS632pRqws322dazfB4xqD7mfuxXJ1rYTZdEX22H4iYKQC-NYp6kwJUytADfEsZzcR2rCyHSQNj_9Zsla0ZtZHeCw2nFqJXFWHVeWm-m1NkTO9H_FvW-6B12yXoI36q7t4P-MxVNKw3sp3O2X2PY6S_GyN24pg8V4egUm-rAhUWy7M_gDn1xA11SLMaWK_Hy4MmZYx7hzLLN-E3LdIG5V6LNWc1YB1P",
"id": "rs_049e6b492e9f3d48016a10cd40356c8191a041e046201fa161",
"summary": [
{
"type": "summary_text",
"text": "**Planning GitHub repo implementation**\n\nI need to take action now! I should load relevant skills related to GitHub pull request workflows, like code writing and test-driven development. The user is asking for help implementing a repository. I'll need to inspect the repo and create files, possibly using the terminal and git. I should also be mindful to avoid exposing any secrets during this process. Let’s get this organized and make a solid plan!"
}
]
}
]
},
{
"role": "tool",
"content": "[skill_view] name=github-pr-workflow (15,420 chars)",
"tool_call_id": "call_XxlURGVyBfrSFkmsblu9JDmM"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_j9x2LLKwvFuYIHy5FaBvFp69",
"call_id": "call_j9x2LLKwvFuYIHy5FaBvFp69",
"response_item_id": "fc_049e6b492e9f3d48016a10cd46c32481919ef97e2563d7f4e6",
"type": "function",
"function": {
"name": "skill_view",
"arguments": "{\"name\":\"test-driven-development\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[skill_view] name=test-driven-development (11,198 chars)",
"tool_call_id": "call_j9x2LLKwvFuYIHy5FaBvFp69"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_V9Lh6qTcagId3MQvyNz7XnnE",
"call_id": "call_V9Lh6qTcagId3MQvyNz7XnnE",
"response_item_id": "fc_049e6b492e9f3d48016a10cd493e2c8191b603583071934913",
"type": "function",
"function": {
"name": "todo",
"arguments": "{\"todos\":[{\"id\":\"1\",\"content\":\"Repo-Status prüfen und Arbeitsbranch erstellen\",\"status\":\"in_progress\"},{\"id\":\"2\",\"content\":\"Projektstruktur, Konfigurationen und Testbatch-Drafts anlegen\",\"status\":\"pending\"},{\"id\":\"3\",\"content\":\"Tests/Validierung hinzufügen und ausführen\",\"status\":\"pending\"},{\"id\":\"4\",\"content\":\"Committen und in GitHub pushen\",\"status\":\"pending\"}]}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[todo] updated task list",
"tool_call_id": "call_V9Lh6qTcagId3MQvyNz7XnnE"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_3Y9SiB30deba4AJJiKJUAhmr",
"call_id": "call_3Y9SiB30deba4AJJiKJUAhmr",
"response_item_id": "fc_049e6b492e9f3d48016a10cd4f0c288191ad08bb8e8d416d1d",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/jarvis_runtime/AutoShortsBot\\ngit status --short --branch\\ngit fetch origin main\\ngit checkout main\\ngit pull --ff-only origin main\\ngit checkout -B feat/initial-growth-engine\\ngit status --short --branch\",\"timeout\":60}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"output\": \"## main...origin/main\\nfatal: could not read Username for 'https://github.com': Kein passendes Gerät bzw. keine passende Adresse gefunden\", \"exit_code\": 128, \"error\": null}",
"tool_call_id": "call_3Y9SiB30deba4AJJiKJUAhmr"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_NgAB8YQehUOCcj0yF6l1rIM9",
"call_id": "call_NgAB8YQehUOCcj0yF6l1rIM9",
"response_item_id": "fc_049e6b492e9f3d48016a10cd5834b48191aaab0f8a0f8916ac",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"set -euo pipefail\\ncd /home/agent/jarvis_runtime/AutoShortsBot\\nexport GITHUB_TOKEN=$(tr -d '\\\\n\\\\r' < /home/agent/.hermes/secrets/github_autoshortsbot_token)\\nASKPASS=$(mktemp)\\ncat > \\\"$ASKPASS\\\" <<'SH'\\n#!/...[truncated]\", \"timeout\": 60}"
}
}
],
"finish_reason": "tool_calls",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqEM1f4ayCaX_iXosyJzxbEkOFBNbZ4naUtiw9Ie0Sfv55nc3IX1nVVhDLWlDd5nHoNsK6xsUQ3x2rbY7LOM5pGrAFN1XkinphjP2mqgfIBFU_Q7xsKT7dfj2JeuqVQJVIjzfv2lDsL_cFWnHG1WP0DwqIxc5o2f8ezFVpOLNRA8snkzWlkIbVMS4QCXenOc1W00AacaasAuBdjB8IdfhNUeGI87xoc-qBdDx2CmYqyop0PMm7rzYYXbHFwg0BkUeyykFoW3qlems7QiYiFXuJ_atLo9xAV_lbQztxMUKDfT-rBjpcl0EXgmGsXrqe8HCZVxzjhbJZ7zpA5aej9wxy7RveALTcI8dYRiVgsOkFoVw2amDNb6zy1GGll6-ycU_zBCyvIz8JuGtyzPbU5tUYFx3xjYMVBQywqVfk0as089Cv_iopxAidh8cP1Gh20ZSCnT-K9YufXRwbu9E-ta01osuPCLQwiZQqy0glkOiDfZwHQ6QRWweoCcZh-v6dbv2CZ8gyIeZk7YGnpQcIG361ZxPhdKrVqfjK5VV2ILn4AnrgIhjw5_wpyjWRa0e3H2iNcxdZOsLVovmRqfmz3ZeumqbgD7yTx3_Ke30TDIas-aBnKFC8mAUzCnup1XoBR1HXvoOdDEX3MOqt83vz__Brunpju3iZ7wWTyCYpIWU19sUQBvYSraLg2yHLNaFdJ20auhinqW4b_hFMOUoiYs3C41_-lREy3dREt69-71_CbVB0aCAyRqk2BuX7Rrof4Ja70BX6OeeWxSVxM9ZGTdmHX0TO3IEPqrXzJTX8haiqd_XJLUgOaj_3icgrVTGMkpPaJn7JLlbXbFDWn2EcEFMo2RuKVFmm2NHKtJqi5z8paNTLcXOLzRDBgipsYkEyi8nuaXvAGdceXfUheqCnubOoZKIQYtmNpK10q7PdNqPZORqckpBumuH6MOZKcobcoc2droZi",
"id": "rs_049e6b492e9f3d48016a10cd577f9081918a50e966aa5a6823",
"summary": []
}
]
},
{
"role": "tool",
"content": "[terminal] ran `set -euo pipefail\ncd /home/agent/jarvis_runtime/AutoShortsBot\nexport GITHUB_T...` -> exit 0, 1 lines output",
"tool_call_id": "call_NgAB8YQehUOCcj0yF6l1rIM9"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_bnV7jFF6IckDQe9CRqADGQyb",
"call_id": "call_bnV7jFF6IckDQe9CRqADGQyb",
"response_item_id": "fc_049e6b492e9f3d48016a10cd68208c81918df947e530a12452",
"type": "function",
"function": {
"name": "todo",
"arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Repo-Status prüfen und Arbeitsbranch erstellen\",\"id\":\"1\",\"status\":\"completed\"},{\"content\":\"Projektstruktur, Konfigurationen und Testbatch-Drafts anlegen\",\"id\":\"2\",\"status\":\"in_progress\"}]}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[todo] updated task list",
"tool_call_id": "call_bnV7jFF6IckDQe9CRqADGQyb"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_AlVWgysXQ5eCKXq7sctlC3Hc",
"call_id": "call_AlVWgysXQ5eCKXq7sctlC3Hc",
"response_item_id": "fc_049e6b492e9f3d48016a10cd7005388191af3abc515d820995",
"type": "function",
"function": {
"name": "write_file",
"arguments": "{\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_growth_plan.py\", \"content\": \"from pathlib import Path\\n\\nfrom autoshorts.growth_plan import load_testbatch, validate_testbatch\\n\\n\\ndef test_initial_testbatch_has_three_pillars_with_three_ideas_each():\\n batch = load_testbatch(Path(...[truncated]\"}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "**Creating test files**\n\nI need to create files following Test-Driven Development (TDD), starting with writing tests first. I’ll create a tests and validation module, using the write_file function multiple times to craft a concise package. For data storage, should I use YAML or avoid dependencies and go with JSON or TOML? Considering Python 3.11 supports tomllib, JSON might be easier. I need to implement validation checks, conduct tests across three pillars, and write a pyproject for execution. Let’s focus on writing the tests first.",
"reasoning_content": "**Creating test files**\n\nI need to create files following Test-Driven Development (TDD), starting with writing tests first. I’ll create a tests and validation module, using the write_file function multiple times to craft a concise package. For data storage, should I use YAML or avoid dependencies and go with JSON or TOML? Considering Python 3.11 supports tomllib, JSON might be easier. I need to implement validation checks, conduct tests across three pillars, and write a pyproject for execution. Let’s focus on writing the tests first.",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqEM10VXIAmpGSWCJ3Bi3-27n8BMNosv9qsDgKHASpYotDTGHpf-MN9W9BKOWF-I8NSFR0uMT-MOrMUBcrMaZdoCweehSoIVNj_kQxbFZjOBAZnN95WjjAt9f6EANO84DEj_oZv9dhTQ1_dU3st-NcTpHrIrWuVLZC-2dkg9ZAkL-tRPw8-VZRpsFhJ5EtfovGM39eAGwihynsHUyalNl2jhLDtUFvwLCq6sq1SCckaITsBVUDgesoB1C_VPT1pIu8CVpBTLU_jhU6255V3VXahqZ7MYP3NEtpE3QlNxWfmynfJABJUM8feuplXOOM1VPHNnEuJFsJpcnHcjmPTVrCzQz6Z6FGGkcIRI8W8fX1mIenwO2X5Qvm5X-hiW69JbTiZwEn7M_dxoKs_w2LFsSDMvTc-QTxaIKJpgxhVRLYEBthT6GAAr6vVRyAHIHRMUuqD9JWiD7m07Jv-KCy3aD_c0yHTw65W51ws_TLGPu2GIlq6kg62xVGFvHvPxbMoyECKNkLGomOBzSOP3yK3897McIRejgrbQI1Bjxu7H-ekJXLR_CDLu3nqV2TBj7cKi7DAZxkJj5UJ285WDXTOCb1I-L2QFm13fS-qEheJxId5-rgyI1YqZpqEimLYy5E0JhX5A8OsbMQ5opgh-KKwOzD36qR3yrPga1Eunpp3UHFCnc6JOOi8Jm24n2PTv04xqH14WaNFyFhhoV2Okbn55c2u2bHLNXvobnEoFqDfq5i223ctVmxaXlxuAmH1-p5iByTxV2-rdpsF0L-3Mk4DcQz7McPJMxxUdZzeVOVF3rrUT_8Gay1xSq_wyIaBW0FNe4bKwQq6OVLy9vovaxErTj6S9Z-xkja2fB436EG5Ubl6IaxJopXTbC5vDiMquOJwZBeJ6cUKo0ljVF9sccavDxS_hdUDuMq6vLVKHfD_5eyfCCyh9uGAjymMorK_NtLc8albD29CCbgYif7wsbRHVhURgOx-h5_Ly5O4MPI5FP4S8fjXeY0keUMYVGcspcjsbI6dZ61wBXekV-sZfSPIlQXRN3vozURwIZvqJeIwdgTbDQ0VjgcUXV8Vqjo3M9zGoBi8weELlIJAL5y1S2S4kuORKDpDbeKoY-fnBrHxnBXrsz02doAO9HcZbS0xYQw1SKXK-Z1yoIYGnYZru8FftYHAh3e7qFu4rC-3zdT8u2RLeYZVZwB45DJ4IwPxcaCxCkBgnm0W8SJNOsoNcD5lehcja4bkXHaf8MOMMDvfUTqmUxye2MTtX2FV7udMVUceqHpJ8U7M7lHmRMqx8hy_WVkSvhdcvuMkpOese87w_TygTmPgpwtvlYA87YKkbhtLGDC9kSoEd4dmByajt6tBaPMkLxnd1THVtTdMdd0xpW1Hud117yP7AyrBNAvj6ttfTKiPKzKRpR_kFFVNgWxsf-Xe2Ime4vtpos4yzvT47OAN5-MvE0LwLnw7mzmTaib_0XdJXaTtRboyBdMpEv_kaekaWKiRPKh8uKVQrdoLAZhtatvn1fRETkVO5EHBeRbAKDGMaHZrPilVNRKJ7cEi3lciCIfIvzr33HwHFPwp0mUZvL9aAxCRAs_MabBFb8nChaYakLlmlzrDCDr15k3miFFmX5Z9kChw46rocLDryJ2LWtBiWw=",
"id": "rs_049e6b492e9f3d48016a10cd6bdf3481919a94bc79392022bc",
"summary": [
{
"type": "summary_text",
"text": "**Creating test files**\n\nI need to create files following Test-Driven Development (TDD), starting with writing tests first. I’ll create a tests and validation module, using the write_file function multiple times to craft a concise package. For data storage, should I use YAML or avoid dependencies and go with JSON or TOML? Considering Python 3.11 supports tomllib, JSON might be easier. I need to implement validation checks, conduct tests across three pillars, and write a pyproject for execution. Let’s focus on writing the tests first."
}
]
}
]
},
{
"role": "tool",
"content": "[write_file] wrote to /home/agent/jarvis_runtime/AutoShortsBot/tests/test_growth_plan.py (35 lines)",
"tool_call_id": "call_AlVWgysXQ5eCKXq7sctlC3Hc"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_tpavA58rn918FjCmHQ3R61ii",
"call_id": "call_tpavA58rn918FjCmHQ3R61ii",
"response_item_id": "fc_049e6b492e9f3d48016a10cd816920819184ae85e148236bb2",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"python3 -m pytest tests/test_growth_plan.py -q\",\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\",\"timeout\":60}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[terminal] ran `python3 -m pytest tests/test_growth_plan.py -q` -> exit 2, 1 lines output",
"tool_call_id": "call_tpavA58rn918FjCmHQ3R61ii"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_GpA1aRZM7dUomKs4mW5TbKT7",
"call_id": "call_GpA1aRZM7dUomKs4mW5TbKT7",
"response_item_id": "fc_049e6b492e9f3d48016a10cd85c578819180237b1ec5a29cc9",
"type": "function",
"function": {
"name": "execute_code",
"arguments": "{\"code\": \"from hermes_tools import write_file\\nfrom pathlib import Path\\nimport json, textwrap\\nroot='/home/agent/jarvis_runtime/AutoShortsBot'\\nfiles={\\n'.gitignore': '''# Python\\\\n__pycache__/\\\\n*.py[cod]\\\\n.pytest_c...[truncated]\"}"
}
}
],
"finish_reason": "tool_calls",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqEM3SxmbHdg54l2h-YLKGfB4KuehTD20ZYjNCKJfCTlPAfZ4NN02IUEexJurHOCPvTmLBUApG2eM5b4Y8nMQgWCAS33sWVRImNPXG-2uTxxrTztwFXIuVBS28xfG-sKpVnj3NxaINL9aa8nOocMEr8arVmJ_bLS2kvYAk0afQINXtbEfVyEwxgslZNay9vCU4JphdwqOR_uXyVC-YtKfjcvwBwlTz2yYPN_IsNTJsk3dlO0JMp0wUjTQXU5oBV3p8oHcsgX4EwaUH5BjnYxMlGu_9GBaYtDT4rDl5REdG5Jh1Q-6pQkw4MEVAqwU8cpcGqOAo6ICVowp1aqyvw0JXw8RQxdmaVrB7RtrJoCL0Zju4t5hTTZgCRBpimPtAtiC51EeRw4cB6AxaAg4pKdrE6VwILUkVgghRvL-JAedwWZPzBcCscBP-ybJqhqRWc_SZW9x_vSDDazw4D_tGZTEPkgb6ywlxeurnYN3Cqk-zv1qggyVQOM8xoLO4CAVeRLTkjdpn8quQzkIOJnnoy4vh0tZdOn5LOmQLEKLtTbdzurTvCY5jsB7sCw3R1z86OoJNn2BkAxl9KldxLID-TS70_SkZNhONo8-lU_pccrHcATsKVwY3RDh-pWVm-BC2fnlKEYWOgAYyN0eazqups6xazaVZqMV1LLbW3XVMdiVFWmWJZ7BW3UeLpldatXwZkq4Byh-EK9jtZi2-4e8Ou2xMZ2MwFrkChwBAZZLx1_4Ei6mpQ3dFsAjnT0qOYnQoKBaWo0p7J2v5g_SsXBQ5eARTQii_Cn0othNyDlL74INc0C3xBf63yloBF8NPMrae_ks7XWxjEwq0msWld7bGXHHZeM2in0RlCw5-1r15AqzH1gqD5ihnl0qDuOt__VasxKDiKpQyE3vKEV-820LFt_irXkqvpM967tAkeAr7UnoLV0ID-LICSg5_QOuHpKg5eDwk6kJKpWkmPBabHgC2r1xUPQdPm5c5Ca18dBD0e6FNZjSbfbjaj4mY200DpTUzyYXJn6B9",
"id": "rs_049e6b492e9f3d48016a10cd850944819199ede13885f4e7a6",
"summary": []
}
]
},
{
"role": "tool",
"content": "{\"status\": \"success\", \"output\": \"wrote 13 files\\n\", \"tool_calls_made\": 13, \"duration_seconds\": 11.26}",
"tool_call_id": "call_GpA1aRZM7dUomKs4mW5TbKT7"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_eTAuCZcKU4fJ5sj1KzaIKda3",
"call_id": "call_eTAuCZcKU4fJ5sj1KzaIKda3",
"response_item_id": "fc_049e6b492e9f3d48016a10cde093708191a96327962ef9e3d6",
"type": "function",
"function": {
"name": "todo",
"arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Projektstruktur, Konfigurationen und Testbatch-Drafts anlegen\",\"id\":\"2\",\"status\":\"completed\"},{\"content\":\"Tests/Validierung hinzufügen und ausführen\",\"id\":\"3\",\"status\":\"in_progress\"}]}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[todo] updated task list",
"tool_call_id": "call_eTAuCZcKU4fJ5sj1KzaIKda3"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_pqLM2EqraD5O59QKtkWDJQdl",
"call_id": "call_pqLM2EqraD5O59QKtkWDJQdl",
"response_item_id": "fc_049e6b492e9f3d48016a10cde428a481919b1753056495aa05",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"python3 -m pytest -q\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"output\": \"... [100%]\\n3 passed in 0.05s\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_pqLM2EqraD5O59QKtkWDJQdl"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_NfnnOSC6aIHeqS2pYqkammDF",
"call_id": "call_NfnnOSC6aIHeqS2pYqkammDF",
"response_item_id": "fc_049e6b492e9f3d48016a10cde7d58c819194f13dd6eb90119c",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"python3 - <<'PY'\\nfrom pathlib import Path\\nfrom autoshorts.growth_plan import load_testbatch, validate_testbatch\\nprint(validate_testbatch(load_testbatch(Path('data/drafts/testbatch_001.json'))))\\nPY\\ngit status --short\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[terminal] ran `python3 - <<'PY'\nfrom pathlib import Path\nfrom autoshorts.growth_plan import ...` -> exit 0, 1 lines output",
"tool_call_id": "call_NfnnOSC6aIHeqS2pYqkammDF"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_503HN43sPKuYvADSeZcd7JJg",
"call_id": "call_503HN43sPKuYvADSeZcd7JJg",
"response_item_id": "fc_049e6b492e9f3d48016a10cdec8f6881918abfc5951a2ebc59",
"type": "function",
"function": {
"name": "todo",
"arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Tests/Validierung hinzufügen und ausführen\",\"id\":\"3\",\"status\":\"completed\"},{\"content\":\"Committen und in GitHub pushen\",\"id\":\"4\",\"status\":\"in_progress\"}]}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[todo] updated task list",
"tool_call_id": "call_503HN43sPKuYvADSeZcd7JJg"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_OZfctSfJSuUjEIfMFATz6SuH",
"call_id": "call_OZfctSfJSuUjEIfMFATz6SuH",
"response_item_id": "fc_049e6b492e9f3d48016a10cdef8d28819190059ada059b6de5",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/jarvis_runtime/AutoShortsBot\\ngit diff --stat\\ngit add .\\ngit commit -m \\\"feat: initialize growth engine testbatch\\\"\",\"timeout\":60}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[terminal] ran `set -euo pipefail\ncd /home/agent/jarvis_runtime/AutoShortsBot\ngit diff --stat...` -> exit 128, 1 lines output",
"tool_call_id": "call_OZfctSfJSuUjEIfMFATz6SuH"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_NFdCdfuocXJVmXvIDipNZ3sE",
"call_id": "call_NFdCdfuocXJVmXvIDipNZ3sE",
"response_item_id": "fc_049e6b492e9f3d48016a10cdf5ff488191b42822c690653204",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/jarvis_runtime/AutoShortsBot\\ngit config user.name \\\"JARVIS\\\"\\ngit config user.email \\\"jarvis@local\\\"\\ngit add .\\ngit commit -m \\\"feat: initialize growth engine testbatch\\\"\",\"timeout\":60}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "**Configuring Git settings**\n\nI need to set up the local git configuration. It’s important to make sure everything is properly configured so the projects I work on have the necessary details like user name and email. This way, when I make commits, they'll reflect the right identity. Let's explore what specific settings I should adjust and ensure I’m following best practices. I just want to get it right the first time!",
"reasoning_content": "**Configuring Git settings**\n\nI need to set up the local git configuration. It’s important to make sure everything is properly configured so the projects I work on have the necessary details like user name and email. This way, when I make commits, they'll reflect the right identity. Let's explore what specific settings I should adjust and ensure I’m following best practices. I just want to get it right the first time!",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqEM32tsvJKXKR27eUBC3aukvPET2ng0x4-uUMR3Q-pDPAF09P5vNfs1CzXFioDoGNlSqvTH76wIy9p0d4CXlmhl1MEmyDe0Zm4cKvwM7o6HdrcoyeisJskYojlFW7BlGqjE5beI4CDCiZOSTNu9dl90owR62xDcXRE8Ny-MaGZZrBUoUD3YUpZNlrhJWoOLZrC_dOjl6HNE3oZ6FwV0gHrY6n1zjRe8QMHdAb_mZvfca8I061vjhSvbSm1ydmCPgDbm7gpz3wN8JB7CgS52nIE8hytKDzKENoOn9rCfFp6mNd9eFwDkK3k-QmY6yRojb5sFYRVbmXrSEl0uVCM90Z6UiqPkDVx1_Vky4kBt0_aOBqHaNb4HzaHix3sx3QwtzW0Bc8CueZs41W0lcucKCYdaQS-hSqeRHpWz_N5KdHqGmkZm4q0aDRP8UEPQaeI5vJ1Qj8sVUG1jQi-TjW2C6GmVIOgciMIOuT1TROWz5Sghpuvy2_-XG0mTg8ebAswMeMGmQ9L80T4YwPJ3_vPPCtq1emEV3lpZeMFuVsRF5UwVQfxaqmHtnLNWtbqLg_4yIxcSfDfgj-v_8cpIFCtVrWJoPddeHPbLqDgyh7CqxS7tX8cnDvRoA5HxuuyDs2Nv_CwvUHiP99gS_MAJTXhdvjKUzjwHep9e1yh9Ot1SYGe9vMgBqOk12_cmI05uhFVE7Ftu_8JI3703H-wAx_yc9KK2Z5zzyZTbj3282Gc313PZprV_eg_WiWkjv-_xUmKNFtfNzOHtVLa9DSxwL0_w6vD_A3ibAklkINREekUw99P1-hdyNqWmH1F0ZsShoiC0bSUccKnEgWJ759ewp8GslDUCaYFxCnyb-YtH6ib94p92akbEhIDMzh0ZK6w763K5FK9yxUP7gHh4ILO6fY7ao-Hv7JmbIgM7yLyp-cNZ3n7_gaJoBnB9Z2YDWD0JR8gdTWWClQ",
"id": "rs_049e6b492e9f3d48016a10cdf2e83c8191804600ae7da0ce8b",
"summary": [
{
"type": "summary_text",
"text": "**Configuring Git settings**\n\nI need to set up the local git configuration. It’s important to make sure everything is properly configured so the projects I work on have the necessary details like user name and email. This way, when I make commits, they'll reflect the right identity. Let's explore what specific settings I should adjust and ensure I’m following best practices. I just want to get it right the first time!"
}
]
}
]
},
{
"role": "tool",
"content": "[terminal] ran `set -euo pipefail\ncd /home/agent/jarvis_runtime/AutoShortsBot\ngit config user...` -> exit 0, 1 lines output",
"tool_call_id": "call_NFdCdfuocXJVmXvIDipNZ3sE"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_8AA5RBIej1Cwx5LV8vQ6fWRc",
"call_id": "call_8AA5RBIej1Cwx5LV8vQ6fWRc",
"response_item_id": "fc_049e6b492e9f3d48016a10cdf8a4908191a8426465bc92fd6a",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"set -euo pipefail\\ncd /home/agent/jarvis_runtime/AutoShortsBot\\nexport GITHUB_TOKEN=$(tr -d '\\\\n\\\\r' < /home/agent/.hermes/secrets/github_autoshortsbot_token)\\nASKPASS=$(mktemp)\\ncat > \\\"$ASKPASS\\\" <<'SH'\\n#!/...[truncated]\", \"timeout\": 120}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[terminal] ran `set -euo pipefail\ncd /home/agent/jarvis_runtime/AutoShortsBot\nexport GITHUB_T...` -> exit 0, 1 lines output",
"tool_call_id": "call_8AA5RBIej1Cwx5LV8vQ6fWRc"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_6kAokTYzXRLwr3emLAW7MqTW",
"call_id": "call_6kAokTYzXRLwr3emLAW7MqTW",
"response_item_id": "fc_049e6b492e9f3d48016a10ce0693588191a530ce8c4fbf0579",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"set -euo pipefail\\ncd /home/agent/jarvis_runtime/AutoShortsBot\\nexport GITHUB_TOKEN=$(tr -d '\\\\n\\\\r' < /home/agent/.hermes/secrets/github_autoshortsbot_token)\\npython3 - <<'PY'\\nimport json, os, urllib.requ...[truncated]\", \"timeout\": 60}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "**Considering creating a PR**\n\nThe user mentioned preparing a repo, and I’m thinking about whether I should create a PR. It seems like using an API token could help with that, but perhaps just using a direct branch would suffice. I'll go for creating a PR if that's possible. I need to use curl with the token, but I realize there's no need for a table in this context. It feels like this should work out!",
"reasoning_content": "**Considering creating a PR**\n\nThe user mentioned preparing a repo, and I’m thinking about whether I should create a PR. It seems like using an API token could help with that, but perhaps just using a direct branch would suffice. I'll go for creating a PR if that's possible. I need to use curl with the token, but I realize there's no need for a table in this context. It feels like this should work out!",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqEM4NXCw5JPoUvE9kMZqvgA5Vuvx4fuegji_kmokHljNMqn9XfZXzSGLK9EhTu80V7577G4bqLvqoXBN5WEQoq7klIaog-VJWn3i9TG8lGJ-j0gqbTYYmnticEllEl2YLRtrn7Cq4hreRkCoyw04YFT7M8ySYtkufV_4gCpqOMXYuQdp8NajRdQqVpUWqtMdB2Y9sWXLiv1A2LPmhdkXP7-CB_TbB6bqrI_3EWaP7z2tE7v3h8yk7-pgXr6Li1kS2H5eCetU5-f_Z-xf8PnNnIfDj1pOhRm3C9nIXuPH1RFBONcTL9lrSCq23avH2wDJ8QTu8ijRCKmh8S-9OdGZ4P-H7u6wZUlFxl1aHkeuiqpK6r_YuOvF_8gQdv7hRLvWX11HrDw6INBX9GsbIbBQrPPfJNvGmF_RmKW0lMuG-u0_cIZwJUnFH2OJ_DzDJAPWW_HAiwKS2qwF7t3w6_au7FjlkmmCZbsImucKhwYBVHkB_Bo8Ta9AixVlB4lk7TnhNUzTHT2UnyibH-bhQCj9VVe1gLW2FgY1G3R1dLLUaxamA_cR32ufmwYSyP0wBpwrT12nduMk5o7y3ufCrx-2Wgi639WZGDemJSm_Ib6WCap4hyZ-sgGIA26o5z11RjIAlqUfQ467pyxKCSz718ew1GvvJrUhJ9WYLIfeUD6LNLsQ97VH7J07XCitqz4HVwn36mFwRgOLXLLcIuoLQOYDuXK-ZuLQqzehaxh-0SFYTi3ctXt9g40h6ADJdQBBoFnlVays3CblOZ5VklumDe95WunyDXrpZxvMcUlikYpOD2o90_VJlrPlaVXCQPfpyyIMOe_DJlV44T8mCZuMcQWQZXWp7e4rz34x3ZmAOqIenH6R0AVxec07bPSZziZ2W0GDvQzaObLmX0cCPwJQ_J8jrok1-Axib_y3Ns38bwlDQrdANveFsGEdSm673f4_9EjVnNBRQexcyFXxQkMdn999_-Cf8f0oxyakLigx6QuDsUNUjty36sdBRd_DTAUgatWBNBhhgt03zygMvd4un3k8pXMYAXyzLWLcty_eiaz8UY9bT6eChsSo06qn4Wbe-zcLWqLdjFnMBfeGtaq7U2lncX4m8YJpIZNrEfUhhrtMEXuviacArtSOdeE4peDwqr3teSwgYJC3GdkbG4LhayKyw4qMm9edoHdPh72I0r2z5FygqGWY=",
"id": "rs_049e6b492e9f3d48016a10ce03432c81919247989a0660b620",
"summary": [
{
"type": "summary_text",
"text": "**Considering creating a PR**\n\nThe user mentioned preparing a repo, and I’m thinking about whether I should create a PR. It seems like using an API token could help with that, but perhaps just using a direct branch would suffice. I'll go for creating a PR if that's possible. I need to use curl with the token, but I realize there's no need for a table in this context. It feels like this should work out!"
}
]
}
]
},
{
"role": "tool",
"content": "[terminal] ran `set -euo pipefail\ncd /home/agent/jarvis_runtime/AutoShortsBot\nexport GITHUB_T...` -> exit 0, 1 lines output",
"tool_call_id": "call_6kAokTYzXRLwr3emLAW7MqTW"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_BWJsXhBYDmL7zrvuwwL4XUUr",
"call_id": "call_BWJsXhBYDmL7zrvuwwL4XUUr",
"response_item_id": "fc_049e6b492e9f3d48016a10ce105310819182bdf2c03d3fcc83",
"type": "function",
"function": {
"name": "todo",
"arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Committen und in GitHub pushen\",\"id\":\"4\",\"status\":\"completed\"}]}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[todo] updated task list",
"tool_call_id": "call_BWJsXhBYDmL7zrvuwwL4XUUr"
},
{
"role": "assistant",
"content": "Erledigt, Sir.\n\n## Repo vorbereitet\n\nIch habe das GitHub-Repo lokal sauber initialisiert und einen ersten Arbeitsstand gepusht.\n\n- **Repo:** `https://github.com/Gamexgit/AutoShortsBot`\n- **Lokaler Pfad:** `~/jarvis_runtime/AutoShortsBot`\n- **Branch:** `feat/initial-growth-engine`\n- **Commit:** `f83469d`\n- **Push verifiziert:** lokaler Commit == Remote-Commit\n\nPull Request konnte ich mit dem vorhandenen Fine-grained Token **nicht automatisch erstellen**, weil der Token zwar pushen darf, aber offenbar keine PR-Erstellungsrechte hat:\n\n`Resource not accessible by personal access token`\n\nManuell kannst du den PR hier öffnen:\n\nhttps://github.com/Gamexgit/AutoShortsBot/pull/new/feat/initial-growth-engine\n\n---\n\n## Angelegte Struktur\n\nIch habe die Basisstruktur vorbereitet:\n\n```text\nAutoShortsBot/\n autoshorts/\n __init__.py\n growth_plan.py\n configs/\n niches/\n life_optimization.json\n ai_life_systems.json\n faithtok.json\n platforms/\n youtube_shorts.json\n tiktok.json\n instagram_reels.json\n data/\n drafts/\n testbatch_001.json\n docs/\n telegram_review_loop.md\n tests/\n test_growth_plan.py\n .gitignore\n pyproject.toml\n README.md\n```\n\n---\n\n## Enthalten im ersten Stand\n\n### 1. Drei Content-Säulen\n\n- `life_optimization`\n- `ai_life_systems`\n- `faithtok`\n\nJeweils mit:\n\n- Positionierung\n- Tonalität\n- Hook-Patterns\n- Visual Rules\n- No-Go-Liste\n\n### 2. Plattform-Configs\n\n- YouTube Shorts\n- TikTok\n- Instagram Reels\n\nInklusive relevanter Längen-/Monetarisierungsnotizen.\n\n### 3. Erster Testbatch\n\nDatei:\n\n`data/drafts/testbatch_001.json`\n\nEnthält **9 Testideen**:\n\n- 3 × Life Optimization\n- 3 × AI Life Systems\n- 3 × FaithTok\n\nDavon:\n\n- **6 Growth-Kandidaten** unter 60 Sekunden\n- **3 TikTok-Rewards-Kandidaten** mit 60+ Sekunden\n\n### 4. Telegram Review Loop\n\nDatei:\n\n`docs/telegram_review_loop.md`\n\nDort festgelegt:\n\n- Kein Posting ohne Freigabe\n- Review-Paket enthält Script/Preview, Hook, Caption, Hashtags, Score usw.\n- Freigabe-Kommandos:\n - `Freigabe alle`\n - `Freigabe YouTube`\n - `Freigabe TikTok`\n - `Freigabe Instagram`\n - `Ablehnen`\n - `Ändern: ...`\n\n---\n\n## Validierung\n\nTests wurden angelegt und ausgeführt.\n\nErgebnis:\n\n```text\n3 passed in 0.05s\n```\n\nValidierungszusammenfassung:\n\n```text\ntotal_ideas: 9\npillars:\n ai_life_systems: 3\n faithtok: 3\n life_optimization: 3\nduration_buckets:\n growth: 6\n tiktok_rewards_candidate: 3\nmissing_fields: []\nminimum_quality_score: 9\n```\n\n---\n\n## Nächster sinnvoller Schritt\n\nAls Nächstes würde ich den **Script-Draft-Generator + Review-Formatter** implementieren:\n\n1. Aus `testbatch_001.json` wird pro Idee ein vollständiger Script Draft erzeugt.\n2. Ausgabe im Telegram-tauglichen Review-Format.\n3. Noch kein Rendering, noch kein Posting.\n4. Du wählst zuerst Tonalität und Favoriten.\n5. Danach bauen wir Rendering/Preview.\n\nKurz: Erst Sprache und Format treffen lassen, dann Videos rendern. Sonst produzieren wir hübsche Clips mit mittelmäßigem Text — eine besonders moderne Form von Zeitverschwendung.",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqEM4jiQumLpK66GeapRA7JM8WRwtJ9_T-4tsRVw00d6gerJWceSWNx2ZIjjH_nt8TKGIovRHYsCv1EE5pQuy65tYVTG7zi63QZXYvXa9SN6CQS3hhRAb-t4B748itDSnv9cfZBpPd-Hfe1pZgXfHY-Ja7Yr8A-65cn-wzVBiPMorJ3OaU4GbfYsdkareoFuTtBYwfxS64DdGt0VOM9etMRTgRPMPhn4SCvXXLmYLQu5SfUEYBNiTj51jhQNRVjihvuLcEmkeaYewKGqmxa913qDyf1J-6RLwJNXOtcDY7w1LEga2v1XyA1j_Xucxp_4dWhNaD7bQzbEPNrQPApPRY7U59rLZ0JE6QtaUW8zdruG4Ay9yNK8AAsTLacy2rtFdV3ZYFo9syAbnt36LFmfcjRGPEMB9_MUdFsgafkwiu8_ZhIuEr9zbulE5OWHoR8Zq0J5pyYoSIWK4iG3gYZrlN4zmkGUPtuyI5v5SrWPEQTOsXeSmEL0vKBb8SFTKXfA-a4QcEl58E03fY8OpLFMzPqG26R_68G5SO4MLvZFDlaWVh3JJhpEnWxtZsMO4s_KFMLqBEw7rOgjM-gNgQbDo2O1MOH9_FL_ehWkFfUE7KGlXFMTg6Kd-5XaP3LDGbBG4w3mP8dcSaJ-kjQmhH9Z8ghnAgthuhTuAsF6pbxTsn-8bcQMmGZbLv8rSBDynQY9UI384X8sarHDxny6KUYlQ8K4P3HAIq5JJj2VQmrrnFxaWjg3EDCLrNkCa7RXSLMXvmu1_zlhlk2oPkCqb6K8wFucY3Yv04asg92mSATcSMlSHqf2X97ztqwOoVpHZmirLCVwDhIxuIyLv8CkyI0slvi97uhzsqD0eXLHWqQj0LW4ThnRJB0FTshQjYxXlOkB_65YDPVdmuor_-fCM4bceOqamq18xoHqZb9b2C1npBcFG4WcwiuGCtAzLoJaaQ5k6-eW3rMLywizE_o_MJLuxm1h2ZO6_pTDahSk4s1oR_tZmpwsqfBX_CZQCNllwCzllBOfGrr0DZCjW2rk7iv9c5eXjrtkeD9lNyUIvKgFmTdFiyx_t5oukQzaYaM8MfLTTJUc0N1tl-9KrJ7PKzIAcEKmrfEqrCOtNxg3mQM8Rtgir84DWRtMe_yo26HhNuCmQlG__SOvSMB9cDpXnFWzJFTIEVaTWCERNXDOYtkIb9br1hcJ5huiwTv7J4uQlTACZNhxQ4YXFSo3fi9mxvrytldobz1w==",
"id": "rs_049e6b492e9f3d48016a10ce12df1c81918004a47e38f86eaf",
"summary": []
}
],
"codex_message_items": [
{
"type": "message",
"role": "assistant",
"status": "completed",
"content": [
{
"type": "output_text",
"text": "Erledigt, Sir.\n\n## Repo vorbereitet\n\nIch habe das GitHub-Repo lokal sauber initialisiert und einen ersten Arbeitsstand gepusht.\n\n- **Repo:** `https://github.com/Gamexgit/AutoShortsBot`\n- **Lokaler Pfad:** `~/jarvis_runtime/AutoShortsBot`\n- **Branch:** `feat/initial-growth-engine`\n- **Commit:** `f83469d`\n- **Push verifiziert:** lokaler Commit == Remote-Commit\n\nPull Request konnte ich mit dem vorhandenen Fine-grained Token **nicht automatisch erstellen**, weil der Token zwar pushen darf, aber offenbar keine PR-Erstellungsrechte hat:\n\n`Resource not accessible by personal access token`\n\nManuell kannst du den PR hier öffnen:\n\nhttps://github.com/Gamexgit/AutoShortsBot/pull/new/feat/initial-growth-engine\n\n---\n\n## Angelegte Struktur\n\nIch habe die Basisstruktur vorbereitet:\n\n```text\nAutoShortsBot/\n autoshorts/\n __init__.py\n growth_plan.py\n configs/\n niches/\n life_optimization.json\n ai_life_systems.json\n faithtok.json\n platforms/\n youtube_shorts.json\n tiktok.json\n instagram_reels.json\n data/\n drafts/\n testbatch_001.json\n docs/\n telegram_review_loop.md\n tests/\n test_growth_plan.py\n .gitignore\n pyproject.toml\n README.md\n```\n\n---\n\n## Enthalten im ersten Stand\n\n### 1. Drei Content-Säulen\n\n- `life_optimization`\n- `ai_life_systems`\n- `faithtok`\n\nJeweils mit:\n\n- Positionierung\n- Tonalität\n- Hook-Patterns\n- Visual Rules\n- No-Go-Liste\n\n### 2. Plattform-Configs\n\n- YouTube Shorts\n- TikTok\n- Instagram Reels\n\nInklusive relevanter Längen-/Monetarisierungsnotizen.\n\n### 3. Erster Testbatch\n\nDatei:\n\n`data/drafts/testbatch_001.json`\n\nEnthält **9 Testideen**:\n\n- 3 × Life Optimization\n- 3 × AI Life Systems\n- 3 × FaithTok\n\nDavon:\n\n- **6 Growth-Kandidaten** unter 60 Sekunden\n- **3 TikTok-Rewards-Kandidaten** mit 60+ Sekunden\n\n### 4. Telegram Review Loop\n\nDatei:\n\n`docs/telegram_review_loop.md`\n\nDort festgelegt:\n\n- Kein Posting ohne Freigabe\n- Review-Paket enthält Script/Preview, Hook, Caption, Hashtags, Score usw.\n- Freigabe-Kommandos:\n - `Freigabe alle`\n - `Freigabe YouTube`\n - `Freigabe TikTok`\n - `Freigabe Instagram`\n - `Ablehnen`\n - `Ändern: ...`\n\n---\n\n## Validierung\n\nTests wurden angelegt und ausgeführt.\n\nErgebnis:\n\n```text\n3 passed in 0.05s\n```\n\nValidierungszusammenfassung:\n\n```text\ntotal_ideas: 9\npillars:\n ai_life_systems: 3\n faithtok: 3\n life_optimization: 3\nduration_buckets:\n growth: 6\n tiktok_rewards_candidate: 3\nmissing_fields: []\nminimum_quality_score: 9\n```\n\n---\n\n## Nächster sinnvoller Schritt\n\nAls Nächstes würde ich den **Script-Draft-Generator + Review-Formatter** implementieren:\n\n1. Aus `testbatch_001.json` wird pro Idee ein vollständiger Script Draft erzeugt.\n2. Ausgabe im Telegram-tauglichen Review-Format.\n3. Noch kein Rendering, noch kein Posting.\n4. Du wählst zuerst Tonalität und Favoriten.\n5. Danach bauen wir Rendering/Preview.\n\nKurz: Erst Sprache und Format treffen lassen, dann Videos rendern. Sonst produzieren wir hübsche Clips mit mittelmäßigem Text — eine besonders moderne Form von Zeitverschwendung."
}
],
"id": "msg_049e6b492e9f3d48016a10ce15ec908191b3b36f799f339ab7",
"phase": "final_answer"
}
],
"finish_reason": "stop"
},
{
"role": "user",
"content": "[M G] Ok, leg los."
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_IbiZEVbHKAP6qRG6AoH5Otmf",
"call_id": "call_IbiZEVbHKAP6qRG6AoH5Otmf",
"response_item_id": "fc_049e6b492e9f3d48016a10cee9c1b881919f4b57b039760a22",
"type": "function",
"function": {
"name": "todo",
"arguments": "{\"todos\":[{\"id\":\"1\",\"content\":\"Tests für Script-Draft-Generator und Telegram-Review-Formatter schreiben\",\"status\":\"in_progress\"},{\"id\":\"2\",\"content\":\"Generator/Formatter minimal implementieren\",\"status\":\"pending\"},{\"id\":\"3\",\"content\":\"Review-Drafts für Testbatch erzeugen und prüfen\",\"status\":\"pending\"},{\"id\":\"4\",\"content\":\"Änderungen testen, committen und pushen\",\"status\":\"pending\"}]}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "**Continuing with planning**\n\nI need to keep moving forward here. Should I load relevant skills? I already have TDD and GitHub loaded, which might be enough for now. Maybe I need to create a plan? I also have to implement a script draft generator and review the formatter. Using tools is essential, and I should remember to follow TDD principles. I'll also need to inspect what’s currently in place before jumping into implementation!",
"reasoning_content": "**Continuing with planning**\n\nI need to keep moving forward here. Should I load relevant skills? I already have TDD and GitHub loaded, which might be enough for now. Maybe I need to create a plan? I also have to implement a script draft generator and review the formatter. Using tools is essential, and I should remember to follow TDD principles. I'll also need to inspect what’s currently in place before jumping into implementation!",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqEM7qE2uLcI_xZ4Dw2jmGZ8HfgasEsVOD1ISB-aHnH9H0sNLkJqQgr6k-k-ciM9BH-0gxZaZrhZJVMSU9cccMP67Os5wNgCrfNH0K7s1c7LkzVVaVXPdI0674Lpk7nnaMGZAN9j4kVBi4nCHzTI688ovfWmkV0uIiLz9DHVU1sSPRfCZkEjGdyOHwI4mWXBAM7Dqk5XEwQRnh9xdHIPBDFlwVgck_qQjZ5ABjW4p1H_6z2EkLqVcYAzAKtGCuGuGNK0UEPuFaHlyPiuOphGFdJORG65b8sQHS2cX21FuX2giPWEjxw-g8eA2WCyGQXPy5hKFUZ8_dHF7JdgOELJBn-OYOFYcXTAksN_R8I-1Ln82Y_GjEDwhk1MIAxAd1W_oN_43VsAIB6-pV6G0HKV64McgDFgFok7cS0GBtszVunmGmugEjco2wkajhECtpW-1JSDSGvhSydTJDvXFfP_U-mttIECI_lQMtvzFtYH-D8RjC6QW4CPwbI6GHyTU5fJbk89TVg-NgA69_Z43tmjQQSdbisgEUw8DAAS5B1dXowTyPqb0KA75Hw1ol_-wVlWr2ROhpFI8gAz0iBkLieYvxlgGuHMXIXV2a2yslRDAU4jGCCZUkMgZUL2WVkD87jrS5O_bPNrJv8SX3DqBwAEgjvgrcZOMEo924XyVdrl6g7fDcQRvxfoWx0kiE_dYmcjIKXq-wfgXcVLPZmzhbnaSzJhDeFupC9_9rsvoc5YrT9KwfOjZjXpPBdOvGcrw7tJ5ByqYec7IXmrl2spsl4sJiW6_HGL8x2o_VlWWQpAZmFto9AE0r7i5XgHumXCLKb_N8DcuVD1Okh2TX4JrgPPiaXRqYbFjQwWuTQcCX2OpN7ZLjh6dgWoaroWgjxG3Ow2fTaRPtTj3TY2J3kvBvhmaJNbiZ-00UevCYU-KrOfh6pfY3cbEmecDuomfYgRWQSIi_PscHu8mes3mCcS30aO7jgFmWXxD7ZNJl5QtM44UWU2HVDylHLimCsjfUf0v9wPSXN-tvBZgFXrLHi3i8y8D4Yx8YDFQbqUWNAeLOVbskyCpYmPQWFEGoIueL_CitRTf_5XjdmGEg7RigoowYKrnAN86lkthIf6l_FEs5ba_DsSBIqdeAIbwNZbGUUxfCRn_HKEuwNtzb3b5evDMcFVlzpD1FduDJzlbuiQ2SDCgUoZOKl1I1qH1Y4Tu_y4XMjdXBwLId",
"id": "rs_049e6b492e9f3d48016a10cee7aafc819198dd616ec84ca550",
"summary": [
{
"type": "summary_text",
"text": "**Continuing with planning**\n\nI need to keep moving forward here. Should I load relevant skills? I already have TDD and GitHub loaded, which might be enough for now. Maybe I need to create a plan? I also have to implement a script draft generator and review the formatter. Using tools is essential, and I should remember to follow TDD principles. I'll also need to inspect what’s currently in place before jumping into implementation!"
}
]
}
]
},
{
"role": "tool",
"content": "[todo] updated task list",
"tool_call_id": "call_IbiZEVbHKAP6qRG6AoH5Otmf"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_OBwSW3i8aYXlH22Dm4ZXOLNa",
"call_id": "call_OBwSW3i8aYXlH22Dm4ZXOLNa",
"response_item_id": "fc_049e6b492e9f3d48016a10ceeddd0881919306962a9c3c1638",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"git status --short --branch && python3 -m pytest -q\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[terminal] ran `git status --short --branch && python3 -m pytest -q` -> exit 0, 1 lines output",
"tool_call_id": "call_OBwSW3i8aYXlH22Dm4ZXOLNa"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_B0znbK60s4n6IvFgIhkBy51p",
"call_id": "call_B0znbK60s4n6IvFgIhkBy51p",
"response_item_id": "fc_049e6b492e9f3d48016a10cef2aeb88191ab3ef79908a379ed",
"type": "function",
"function": {
"name": "write_file",
"arguments": "{\"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_script_drafts.py\", \"content\": \"from pathlib import Path\\n\\nfrom autoshorts.growth_plan import load_testbatch\\nfrom autoshorts.script_drafts import build_script_draft, format_telegram_review, write_review_drafts\\n\\n\\ndef test_build_script...[truncated]\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[write_file] wrote to /home/agent/jarvis_runtime/AutoShortsBot/tests/test_script_drafts.py (53 lines)",
"tool_call_id": "call_B0znbK60s4n6IvFgIhkBy51p"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_nLS9uE3RRUIIKeh2vPqfQWpM",
"call_id": "call_nLS9uE3RRUIIKeh2vPqfQWpM",
"response_item_id": "fc_049e6b492e9f3d48016a10cf011438819188c2c8fb632f6776",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"python3 -m pytest tests/test_script_drafts.py -q\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[terminal] ran `python3 -m pytest tests/test_script_drafts.py -q` -> exit 2, 1 lines output",
"tool_call_id": "call_nLS9uE3RRUIIKeh2vPqfQWpM"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_wmA3DcMQSO3MOAkMDKuCoxpP",
"call_id": "call_wmA3DcMQSO3MOAkMDKuCoxpP",
"response_item_id": "fc_049e6b492e9f3d48016a10cf04d00481919cf0bd83d56cc1eb",
"type": "function",
"function": {
"name": "todo",
"arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Tests für Script-Draft-Generator und Telegram-Review-Formatter schreiben\",\"id\":\"1\",\"status\":\"completed\"},{\"content\":\"Generator/Formatter minimal implementieren\",\"id\":\"2\",\"status\":\"in_progress\"}]}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[todo] updated task list",
"tool_call_id": "call_wmA3DcMQSO3MOAkMDKuCoxpP"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_q42zz2B4ffDoDXG6FNslQHko",
"call_id": "call_q42zz2B4ffDoDXG6FNslQHko",
"response_item_id": "fc_049e6b492e9f3d48016a10cf09e8d88191bb35ca7bad11f560",
"type": "function",
"function": {
"name": "write_file",
"arguments": "{\"content\": \"\\\"\\\"\\\"Script draft and Telegram review formatting helpers.\\\"\\\"\\\"\\n\\nfrom __future__ import annotations\\n\\nimport re\\nfrom pathlib import Path\\nfrom typing import Any\\n\\n\\ndef _slug(value: str) -> str:\\n slug = re....[truncated]\", \"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/script_drafts.py\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"bytes_written\": 4539, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"tool_call_id": "call_q42zz2B4ffDoDXG6FNslQHko"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_sI5RW4qg2eZsAOp4wqBbh0tZ",
"call_id": "call_sI5RW4qg2eZsAOp4wqBbh0tZ",
"response_item_id": "fc_049e6b492e9f3d48016a10cf2795288191b34b3fdca8ba753f",
"type": "function",
"function": {
"name": "patch",
"arguments": "{\"mode\":\"replace\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__init__.py\",\"old_string\":\"__all__ = [\\\"growth_plan\\\"]\",\"new_string\":\"__all__ = [\\\"growth_plan\\\", \\\"script_drafts\\\"]\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[patch] replace in /home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__init__.py (448 chars result)",
"tool_call_id": "call_sI5RW4qg2eZsAOp4wqBbh0tZ"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_W34Ylp6Cz10FpM6mO7l9d0J1",
"call_id": "call_W34Ylp6Cz10FpM6mO7l9d0J1",
"response_item_id": "fc_049e6b492e9f3d48016a10cf2ca0b0819197f4363767850b7f",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"python3 -m pytest tests/test_script_drafts.py -q && python3 -m pytest -q\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[terminal] ran `python3 -m pytest tests/test_script_drafts.py -q && python3 -m pytest -q` -> exit 0, 1 lines output",
"tool_call_id": "call_W34Ylp6Cz10FpM6mO7l9d0J1"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_636ApIRs2ZXjP8Qmj5hOZ848",
"call_id": "call_636ApIRs2ZXjP8Qmj5hOZ848",
"response_item_id": "fc_049e6b492e9f3d48016a10cf30d910819196badba519277f40",
"type": "function",
"function": {
"name": "todo",
"arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Generator/Formatter minimal implementieren\",\"id\":\"2\",\"status\":\"completed\"},{\"content\":\"Review-Drafts für Testbatch erzeugen und prüfen\",\"id\":\"3\",\"status\":\"in_progress\"}]}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[todo] updated task list",
"tool_call_id": "call_636ApIRs2ZXjP8Qmj5hOZ848"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_Flqzq9YfXPWAP71kQOjBRsl0",
"call_id": "call_Flqzq9YfXPWAP71kQOjBRsl0",
"response_item_id": "fc_049e6b492e9f3d48016a10cf33e7048191856cdc278abef162",
"type": "function",
"function": {
"name": "write_file",
"arguments": "{\"content\": \"\\\"\\\"\\\"Command line entrypoint for generating Telegram review drafts.\\\"\\\"\\\"\\n\\nfrom __future__ import annotations\\n\\nimport argparse\\nfrom pathlib import Path\\n\\nfrom autoshorts.growth_plan import load_testbatch, v...[truncated]\", \"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_review_drafts.py\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"bytes_written\": 977, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"tool_call_id": "call_Flqzq9YfXPWAP71kQOjBRsl0"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_7noPO6FmngUu6ADr47nQhiol",
"call_id": "call_7noPO6FmngUu6ADr47nQhiol",
"response_item_id": "fc_049e6b492e9f3d48016a10cf3c66e481919e2d25fac394dc00",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"python3 scripts/generate_review_drafts.py --batch data/drafts/testbatch_001.json --out data/reviews/testbatch_001\\npython3 - <<'PY'\\nfrom pathlib import Path\\nfiles=sorted(Path('data/reviews/testbatch_001').glob('*.md'))\\nprint('review_files', len(files))\\nprint(files[0])\\nprint(files[0].read_text(encoding='utf-8')[:1200])\\nPY\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[terminal] ran `python3 scripts/generate_review_drafts.py --batch data/drafts/testbatch_001.j...` -> exit 1, 1 lines output",
"tool_call_id": "call_7noPO6FmngUu6ADr47nQhiol"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_hJzgfPjBr81xHHET0fqzWf6r",
"call_id": "call_hJzgfPjBr81xHHET0fqzWf6r",
"response_item_id": "fc_049e6b492e9f3d48016a10cf4299908191b427a7e7a2ab6ca4",
"type": "function",
"function": {
"name": "patch",
"arguments": "{\"mode\": \"replace\", \"path\": \"/home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_review_drafts.py\", \"old_string\": \"import argparse\\nfrom pathlib import Path\\n\\nfrom autoshorts.growth_plan import load_testbatch, validate_testbatch\\nfrom autoshorts.script_drafts import write_review_drafts\\n\", \"new_string\": \"import argparse\\nimport sys\\nfrom pathlib import Path\\n\\nPROJECT_ROOT = Path(__file__).resolve().parents[1]\\nif str(PROJECT_ROOT) not in sys.path:\\n sys.path.insert(0, str(PROJECT_ROOT))\\n\\nfrom autoshorts...[truncated]\"}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "**Resolving script run path issues**\n\nI'm dealing with a script run path issue since Python sets the scripts directory. To fix this, I might need to insert the root directory into the path. I’m wondering if I should add any tests, but maybe not necessary right now. I think using a patch should be the way to go. It’s a bit challenging to navigate, but I’m focused on finding the best solution here!",
"reasoning_content": "**Resolving script run path issues**\n\nI'm dealing with a script run path issue since Python sets the scripts directory. To fix this, I might need to insert the root directory into the path. I’m wondering if I should add any tests, but maybe not necessary right now. I think using a patch should be the way to go. It’s a bit challenging to navigate, but I’m focused on finding the best solution here!",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqEM9EQ2MQ0QGpjGJYof_aqi-XluO9nfbyLpKFST814AJnoqE6TaLO80DQ1aGAeC1QT6ERA4TL4hk2gms_lkWuJlaY1pc8xaUi145MgjIJxUr2yxXFSg6vf65C1pIJZU30UwoKk7OqAJziw5RCjs8LWHcGb4UKru0RaOIXkOniFGaSMlrdBRmgyJtGVWx83j6pMqqwJz8w7pqe_QVFNDz9VWxAzLzjSLAZ4GA5Mw09CALTD2r1nKQBihDYW1psZ7XB-f4PKHxcF3AdflFGrGh2dtxraSKwAbk8Cym3Rlq0ftefSFGB2XJqDGBTW3Z1n35CyMi6XYDVL1b5HtGMV-ax5pLJ8uuI0GrhIi9CDy3lNMpRysx0KqqBAiJ2ynKTgopIMaCyJOhWHbyYu0KVWahFzY5zXKktX8lKKC4GZJyGeyD3cWMisXRDJULWlyZq03Y8xUZ2s8UXI_tc0yCRWMknvceV6FThtvZFy2azVN1wr6Fh8QI05P7lZnFt7Zl15J8UggnJ2uzdsrKyQH3bzyOI8Wz0p1L9o2Y767YpYLV0gDy12sDx-ZmWlsQIp-XXUgC46hjzYEnyf9mW5QUJ-tg4Fe1GLg6hGYX-BMBV4SG2rPTMfKX62VTjQ7-oHq7gKZfvV_b6PmhtFsCSvd8cV5fvINet86Ci11FL1dPPqe8cXKROzQj6F0iSjojxSbqzp8z_htrRm9U-0kgMJJZEAxDAUoR5jESnVhODf_s3Dypm9TNOOCRqEbBltHWnqBoqD0gS75-zGGufPv5Ibs4-QPqs3vJNoz8GX4mRwsz-z6MSMOx8iVz9bCMoSgpoCoYJvQ9xJUhNZDylKPtfP5bJpK9AhCOn2IIVpcEBqHz2Q7k7nKWu7hzwr20uFpH9MUl5AP-OLUxzugirSOzYG8xpHLsWqjsEVTeuOEDlW-KzT6YTSfwbQSn-9Bcc0nvVtIk4JSJUQ3eQ-xZNUjE4565uOSUNgM85nUjeIYJklOa1Yb7aIxOG1yAb3mSDSx3Ef56B079B81bUviVHvfTqGXgB7n6SrdFbKtCmsl8XnfXC-4Sh2IfK6ZRaHQC-u3aFCIRdG2Kd8y2P",
"id": "rs_049e6b492e9f3d48016a10cf411b7c81919e1b33b33b44103f",
"summary": [
{
"type": "summary_text",
"text": "**Resolving script run path issues**\n\nI'm dealing with a script run path issue since Python sets the scripts directory. To fix this, I might need to insert the root directory into the path. I’m wondering if I should add any tests, but maybe not necessary right now. I think using a patch should be the way to go. It’s a bit challenging to navigate, but I’m focused on finding the best solution here!"
}
]
}
]
},
{
"role": "tool",
"content": "[patch] replace in /home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_review_drafts.py (721 chars result)",
"tool_call_id": "call_hJzgfPjBr81xHHET0fqzWf6r"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_F4LwIbCekQZU3GITbTzfjMQB",
"call_id": "call_F4LwIbCekQZU3GITbTzfjMQB",
"response_item_id": "fc_049e6b492e9f3d48016a10cf4af5e88191aad103cc865b3c82",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"python3 scripts/generate_review_drafts.py --batch data/drafts/testbatch_001.json --out data/reviews/testbatch_001\\npython3 - <<'PY'\\nfrom pathlib import Path\\nfiles=sorted(Path('data/reviews/testbatch_001').glob('*.md'))\\nprint('review_files', len(files))\\nprint(files[0])\\nprint(files[0].read_text(encoding='utf-8')[:1500])\\nPY\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[terminal] ran `python3 scripts/generate_review_drafts.py --batch data/drafts/testbatch_001.j...` -> exit 0, 1 lines output",
"tool_call_id": "call_F4LwIbCekQZU3GITbTzfjMQB"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_JOOw3AmfMfZ93s54Au4ITRcW",
"call_id": "call_JOOw3AmfMfZ93s54Au4ITRcW",
"response_item_id": "fc_049e6b492e9f3d48016a10cf53f8ac8191bed346acaef6a7b1",
"type": "function",
"function": {
"name": "todo",
"arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Review-Drafts für Testbatch erzeugen und prüfen\",\"id\":\"3\",\"status\":\"completed\"},{\"content\":\"Änderungen testen, committen und pushen\",\"id\":\"4\",\"status\":\"in_progress\"}]}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "**Considering review management**\n\nI’m thinking about whether generated reviews should be committed. They’re drafts, but maybe that’s fine for now. I would want to ensure that my .gitignore excludes data/generated but not reviews. After running tests, I think I’ll commit and push. Also, I wonder if we should improve mixed languages since the user is using German, but the content could be in English. It might be good to add documentation too, so I need to inspect the file list.",
"reasoning_content": "**Considering review management**\n\nI’m thinking about whether generated reviews should be committed. They’re drafts, but maybe that’s fine for now. I would want to ensure that my .gitignore excludes data/generated but not reviews. After running tests, I think I’ll commit and push. Also, I wonder if we should improve mixed languages since the user is using German, but the content could be in English. It might be good to add documentation too, so I need to inspect the file list.",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqEM9UE16uApNRmy4Obta1sc8BLhk8DKd5PL7GPexkFhqWzKWLBYdAzk6bH5UCntEF00PEWTcgCoUEpIeUbZnZmTLHxUNjlSvOz0pFe_Km7lACS4L6GKGmEXjbjhEU8F32N9vV4GNaWWNTtnpXB3K3hZ4o0mTGqWamtCPw9hdjjy6RnBtMZi_2-y1yPPnPSHOKIZYZ5UeLUtMpB61vqhObQMllMjg0RIGdg17L2IaMyOE_tZeIOzU1rubBV-Zs6NBoxAmb8U36c5wOMaHecuxtK58tXEv_fbSYXm4eJ7djoq43pMOLrHaEy62kUXuhMWsXKJSOCNsA9gQgmmpVYQqoVlv_k1O2ByjzrS3szQy2kmulZNybu4gSCwGT_5vfzJ-qQ74XduGLQe2bxx3UN4U3amAZ0rRMWEYe-fpkzo4UBvEBX5MnDiPgYFbnuX9iTl0SKidAvYUycUtXVHBmkbwG_wSWveYMaClg1dRGkEeWgQaEgrNjWGsCBRbPzaXE-VEj2JR_yzF1W1j_GLHchQ0xfT9VAWmuv_qNQdfJtb0bcrKX3BDRXBzQm9sMyui7qw5ZgITHQM1B_3C7vgFtLMjFE6ngDRCZmDwNghh4FsAMRuBRTN_xarinXCao0U9-j7SKZsm_mMVVaK703c3we95NZ9q-r69nfMqdioUF8hjGNnNr8uOR2KgLUPubtDfRxpJ3vxQczDpOHpeBumpexd5-9KgKFZ3mQVn7LT6_oGZTfjjRVsm3NzBn6ibLFlvGj-Cy_bVmTjgF7p_nR3JdRD9H57J2nP_NkStiA5bhK3Gr4-rFN5DikLhe7_-SyGsS-IGL_gLSitdU_QvX515tAIlVjpNTKLdKiEJcQ2d4CxzU6vnpRXBzI4w1yjmpfM-BByva6dKslweH7xgRD8ELs7JDH3jpkMCoQ-lpmqvylu10vEUCBEijEp6hezKlcIGeGxWgSEWiiowNGrKuztqXxbIDszIVqsdOV44stN57FAcnvuzUzoL3wrVnQWhgiEodDOuuqFRbAHmSp6FCa5A4JCQbMbfYf-y2wL8NYg-uIz5hDikE3kZuIw3ttQXJbfzrNsDAIFtmNaM9Y-hSfhjj10OknizX8UGwb3NIMiZ0uEurZh4hjyr7NkDabArtEhzRKdVVXgtxWFRAaRmB_niN6lf_D4HcnvAkQ7dCTpaIkI1Ks7FGBy0Jcns1xwIEl2Xy_7vTkEIAnryKUKivkk3KIAT6LHpACDWYogkGyB3JeL6S75DdrkiNvWnjEeHICdb75xvT81e1b8By6PNOsmXic1mPczX9l9M3o4CNiMENRfTrz_nY80hZDwQmzEHtnbwMAG788x6h9cqgjinJ1qbKxJiA9v_cD64-jHWiPvjE__gAd_R_22M=",
"id": "rs_049e6b492e9f3d48016a10cf4e860c81918491e694f81cae77",
"summary": [
{
"type": "summary_text",
"text": "**Considering review management**\n\nI’m thinking about whether generated reviews should be committed. They’re drafts, but maybe that’s fine for now. I would want to ensure that my .gitignore excludes data/generated but not reviews. After running tests, I think I’ll commit and push. Also, I wonder if we should improve mixed languages since the user is using German, but the content could be in English. It might be good to add documentation too, so I need to inspect the file list."
}
]
}
]
},
{
"role": "tool",
"content": "[todo] updated task list",
"tool_call_id": "call_JOOw3AmfMfZ93s54Au4ITRcW"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_MQnbuYio8hatrfsV33SxXqBn",
"call_id": "call_MQnbuYio8hatrfsV33SxXqBn",
"response_item_id": "fc_049e6b492e9f3d48016a10cf56e61081918862b730e213a737",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"python3 -m pytest -q\\ngit status --short\\ngit diff --stat\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[terminal] ran `python3 -m pytest -q\ngit status --short\ngit diff --stat` -> exit 0, 1 lines output",
"tool_call_id": "call_MQnbuYio8hatrfsV33SxXqBn"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_24ywzKyyX3oq3W0VOhxdP0KD",
"call_id": "call_24ywzKyyX3oq3W0VOhxdP0KD",
"response_item_id": "fc_049e6b492e9f3d48016a10cf5a84548191a43ba8e7c2afefb9",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"set -euo pipefail\\ngit add autoshorts/__init__.py autoshorts/script_drafts.py data/reviews scripts tests/test_script_drafts.py\\ngit commit -m \\\"feat: add script draft review generator\\\"\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[terminal] ran `set -euo pipefail\ngit add autoshorts/__init__.py autoshorts/script_drafts.py ...` -> exit 0, 1 lines output",
"tool_call_id": "call_24ywzKyyX3oq3W0VOhxdP0KD"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_sW7Isj2LgJTVkAEHkgw4ZAn2",
"call_id": "call_sW7Isj2LgJTVkAEHkgw4ZAn2",
"response_item_id": "fc_049e6b492e9f3d48016a10cf5e79f48191a665ac9268fc75d0",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\": \"set -euo pipefail\\ncd /home/agent/jarvis_runtime/AutoShortsBot\\nexport GITHUB_TOKEN=$(tr -d '\\\\n\\\\r' < /home/agent/.hermes/secrets/github_autoshortsbot_token)\\nASKPASS=$(mktemp)\\ncat > \\\"$ASKPASS\\\" <<'SH'\\n#!/...[truncated]\", \"timeout\": 120}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[terminal] ran `set -euo pipefail\ncd /home/agent/jarvis_runtime/AutoShortsBot\nexport GITHUB_T...` -> exit 0, 1 lines output",
"tool_call_id": "call_sW7Isj2LgJTVkAEHkgw4ZAn2"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_VD8ZCINw5qRb9Zdj0YJmAyQc",
"call_id": "call_VD8ZCINw5qRb9Zdj0YJmAyQc",
"response_item_id": "fc_049e6b492e9f3d48016a10cf6992308191a034584d839cfe45",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"git status --short --branch\\npython3 -m pytest -q\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[terminal] ran `git status --short --branch\npython3 -m pytest -q` -> exit 0, 1 lines output",
"tool_call_id": "call_VD8ZCINw5qRb9Zdj0YJmAyQc"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_8cOb0EBh6hSO9NkcS0uNyJpm",
"call_id": "call_8cOb0EBh6hSO9NkcS0uNyJpm",
"response_item_id": "fc_049e6b492e9f3d48016a10cf6d38a88191b23dbf183e20d703",
"type": "function",
"function": {
"name": "todo",
"arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Änderungen testen, committen und pushen\",\"id\":\"4\",\"status\":\"completed\"}]}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[todo] updated task list",
"tool_call_id": "call_8cOb0EBh6hSO9NkcS0uNyJpm"
},
{
"role": "assistant",
"content": "Erledigt, Sir.\n\n## Implementiert\n\nIm Repo/Branch `feat/initial-growth-engine` ist jetzt zusätzlich enthalten:\n\n- `autoshorts/script_drafts.py`\n - erzeugt deterministische Script-Drafts aus dem Testbatch\n - klassifiziert Videos als:\n - `Growth Short`\n - `TikTok Rewards Candidate`\n - erstellt Telegram-taugliche Review-Texte\n\n- `scripts/generate_review_drafts.py`\n - CLI-Script zum Generieren der Review-Dateien\n\n- `data/reviews/testbatch_001/*.md`\n - 9 vorbereitete Review-Drafts, je einer pro Testidee\n\n- `tests/test_script_drafts.py`\n - Tests für Generator, Review-Format und Datei-Erzeugung\n\n## Validierung\n\nTests laufen sauber:\n\n```text\n7 passed in 0.03s\n```\n\n## GitHub\n\nGepusht auf:\n\n```text\nfeat/initial-growth-engine\n```\n\nLetzter Commit:\n\n```text\n2100bfd feat: add script draft review generator\n```\n\nRemote-Verifikation erfolgreich:\n\n```text\nlocal == remote\n```\n\nPR-Link bleibt:\n\nhttps://github.com/Gamexgit/AutoShortsBot/pull/new/feat/initial-growth-engine\n\n---\n\n## Beispiel: erzeugter Review-Draft\n\n```text\n## AutoShortsBot Review\n\nID: ai-001\nPillar: ai_life_systems\nTitle: Use AI like a servant, not like a god\nDuration: 44s — Growth Short\nPlatforms: youtube_shorts, tiktok, instagram_reels\nQuality Score: 10/10\n\nHook:\nKI ist ein schlechter Gott, aber ein ziemlich guter Diener.\n\nScript Draft:\n- Hook (3s): KI ist ein schlechter Gott, aber ein ziemlich guter Diener.\n- Setup (10s): The point is not hype. The point is a simple system where the human stays in charge.\n- Core Value (28s): KI darf sortieren, erinnern, entwerfen und kritisieren. Aber Werte, Gewissen und letzte Entscheidungen bleiben beim Menschen. Erst Ziel, dann Tool.\n- CTA (3s): Wofür nutzt du KI — Diener oder Chef?\n```\n\n---\n\n## Wichtige Beobachtung\n\nDie Drafts sind aktuell bewusst noch **strukturelle Script-Drafts**, nicht finale Voiceover-Skripte. Sie sind gut genug für Review und Auswahl, aber vor Rendering würde ich noch eine nächste Stufe ergänzen:\n\n## Nächster Schritt\n\nIch empfehle als Nächstes:\n\n1. **Voiceover-Finalizer**\n - macht aus den Outline-Drafts echte gesprochene Skripte\n - mit natürlicher Sprache\n - passender Länge\n - sauberem Hook in Sekunde 0–2\n\n2. **Language/Tone Decision**\n - Deutsch\n - Englisch\n - oder gemischt je Säule \n \nAktuell sind manche Drafts bewusst zweisprachig, weil die ursprünglichen Ideen gemischt waren. Für echte Videos sollten wir je Kanal konsequent sein.\n\n3. **Top-3 zuerst finalisieren**\n - nicht alle 9 sofort rendern\n - erst 3 finale Voiceover-Skripte prüfen\n - dann Rendering-Pipeline anpassen\n\nMein Vorschlag für die ersten 3 Finalisierungen:\n\n- `ai-001` — **Use AI like a servant, not like a god**\n- `faith-003` — **The algorithm wants your attention. God wants your heart**\n- `life-001` — **Der 2-Minuten-Reset gegen Chaos im Kopf**\n\nDas gibt uns je eine starke Probe pro Säule.",
"codex_message_items": [
{
"type": "message",
"role": "assistant",
"status": "completed",
"content": [
{
"type": "output_text",
"text": "Erledigt, Sir.\n\n## Implementiert\n\nIm Repo/Branch `feat/initial-growth-engine` ist jetzt zusätzlich enthalten:\n\n- `autoshorts/script_drafts.py`\n - erzeugt deterministische Script-Drafts aus dem Testbatch\n - klassifiziert Videos als:\n - `Growth Short`\n - `TikTok Rewards Candidate`\n - erstellt Telegram-taugliche Review-Texte\n\n- `scripts/generate_review_drafts.py`\n - CLI-Script zum Generieren der Review-Dateien\n\n- `data/reviews/testbatch_001/*.md`\n - 9 vorbereitete Review-Drafts, je einer pro Testidee\n\n- `tests/test_script_drafts.py`\n - Tests für Generator, Review-Format und Datei-Erzeugung\n\n## Validierung\n\nTests laufen sauber:\n\n```text\n7 passed in 0.03s\n```\n\n## GitHub\n\nGepusht auf:\n\n```text\nfeat/initial-growth-engine\n```\n\nLetzter Commit:\n\n```text\n2100bfd feat: add script draft review generator\n```\n\nRemote-Verifikation erfolgreich:\n\n```text\nlocal == remote\n```\n\nPR-Link bleibt:\n\nhttps://github.com/Gamexgit/AutoShortsBot/pull/new/feat/initial-growth-engine\n\n---\n\n## Beispiel: erzeugter Review-Draft\n\n```text\n## AutoShortsBot Review\n\nID: ai-001\nPillar: ai_life_systems\nTitle: Use AI like a servant, not like a god\nDuration: 44s — Growth Short\nPlatforms: youtube_shorts, tiktok, instagram_reels\nQuality Score: 10/10\n\nHook:\nKI ist ein schlechter Gott, aber ein ziemlich guter Diener.\n\nScript Draft:\n- Hook (3s): KI ist ein schlechter Gott, aber ein ziemlich guter Diener.\n- Setup (10s): The point is not hype. The point is a simple system where the human stays in charge.\n- Core Value (28s): KI darf sortieren, erinnern, entwerfen und kritisieren. Aber Werte, Gewissen und letzte Entscheidungen bleiben beim Menschen. Erst Ziel, dann Tool.\n- CTA (3s): Wofür nutzt du KI — Diener oder Chef?\n```\n\n---\n\n## Wichtige Beobachtung\n\nDie Drafts sind aktuell bewusst noch **strukturelle Script-Drafts**, nicht finale Voiceover-Skripte. Sie sind gut genug für Review und Auswahl, aber vor Rendering würde ich noch eine nächste Stufe ergänzen:\n\n## Nächster Schritt\n\nIch empfehle als Nächstes:\n\n1. **Voiceover-Finalizer**\n - macht aus den Outline-Drafts echte gesprochene Skripte\n - mit natürlicher Sprache\n - passender Länge\n - sauberem Hook in Sekunde 0–2\n\n2. **Language/Tone Decision**\n - Deutsch\n - Englisch\n - oder gemischt je Säule \n \nAktuell sind manche Drafts bewusst zweisprachig, weil die ursprünglichen Ideen gemischt waren. Für echte Videos sollten wir je Kanal konsequent sein.\n\n3. **Top-3 zuerst finalisieren**\n - nicht alle 9 sofort rendern\n - erst 3 finale Voiceover-Skripte prüfen\n - dann Rendering-Pipeline anpassen\n\nMein Vorschlag für die ersten 3 Finalisierungen:\n\n- `ai-001` — **Use AI like a servant, not like a god**\n- `faith-003` — **The algorithm wants your attention. God wants your heart**\n- `life-001` — **Der 2-Minuten-Reset gegen Chaos im Kopf**\n\nDas gibt uns je eine starke Probe pro Säule."
}
],
"id": "msg_049e6b492e9f3d48016a10cf6fd4c8819193961ce024d38321",
"phase": "final_answer"
}
],
"finish_reason": "stop"
},
{
"role": "user",
"content": "[M G] Lassen wir die religiösen themen vorerst weg, ist eine heikle mischung mit KI. Recherchiere bei was menschen wirklich hängen bleiben und mach den nächsten entwicklungsschritt"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_9fbWTwE1DNv3pWxgqmSYAZRa",
"call_id": "call_9fbWTwE1DNv3pWxgqmSYAZRa",
"response_item_id": "fc_049e6b492e9f3d48016a10d08593188191ba63a069187b3f15",
"type": "function",
"function": {
"name": "skill_view",
"arguments": "{\"name\":\"web-scraping\"}"
}
}
],
"finish_reason": "tool_calls",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqENCFkq3gLTPHKDVl8p2mr0wlEsXV5zooMx-iJGQ3VKF99DzVSpxa65k4KZx035QuTr_Eic4gFHWGG9A8dB2327T9XvgGuCIRweaMqCi_DcKs_Iye52KAT3pRdOhu4bPVrahyfXJj4QESzwbaxMYqJAUCBlclO64TfPCNcYJL1HVmr2r83NFVb8vzw5CGqbwDHFt0YdCSCaagrvXfxKS5aiFd_xnHqJAxVQ5V4irPFPOPonNts05W-Nqk621rrMIlqDufAErEXk7-dSXKMcWW0YAVN5bjoSzVHSALOsJZk5wkGWwhQ0hIvHCSqUiD05-0BouhxYheNrs7TSaryD-Ei9zy0J4QRUONkJLNWEqhw3zsy2EPJ_KKBpY5GF0qKjn51v4hv2JwYPVkC4KaunFJEJKpcMz2OBDZ2es9QuHVNuD6ld9FBEjIJAEinRvQGedvp_MHOE2HSzq9tDptO5nuoU_wvfVm3HcNKswA91PuDcCC1PwwBDJEcGGiJHk-sCYmDyIuYgcaw8aJ5m6X7ZDZ6iATwTkX-zSsCZyH9DBP_Cp9-stD2rhFDFpCNDH0PxAMtCoNBBxkih1WiP0FkP0GxwC5i-d8mjgR3im_rxA8CzrdRgiBqCnH_oNSkcYcIQdu1tdHZ63kGEMhMFlLT1oOpwuHUnhjUbCOOzF_thBxcr3tuGLrVh48OS12SBprQSw-d0GXhvWal7maysUCzHBVK934oxJpdJNL21b61jXSAanI3mdBXN6K07enr0ndjyLOrvMDiolQYF3ngJk35oS6pelITnG8ShQolwInSF3n1IfXJ3oi8_diYV2LJu333LeNCILG9JWjbkAIf31gnv2LB-Ycb7xdpN-ToQigjzRpvAgr1KFNWMIpPveGzMUP6EgGOSOxbFsnVYrPS9fjIJMYZsi1m5RYzCRttYGt9bXW9Tdb07UFL9bUVfLndXEJMZGQP2eB0k6TzHNPzKrOYi_OVlKMjl63ddS5ZG0g23M76IOwGDZ2KFQYMh81JNTFqmNgASBu6wcL8AmYsHh1rxKxJGKG9NatGaKG-TCmbYh5mqV9H7b-s4InQEnIWgo37cc5SD80-skmYCNi5v--RjTJ_smAa5hBysNY9U7vTGr4jhWBBgy2A5jPJsKaB3qIh8dIH0-gCZjuSavekhj7uLw9CJ5KCtsbh2LN_KX92HbX82RvpmMdaBCmaLRgrU-CbtrViwDM_SrZhrxCiruryJZnh5KcdJJ8vUeD7bMq1UxmqUrmfzRPKf0gWiamux5zW1FnMCxjqIRad9Am4HORIY4wKaAzJkNMX8GS9C6pR3KrLfGf_dIVhMMoQnj01kuDjALkOUW5nDgW82IPgGVXC9jXgAW8uhUq_gc6c-arhnYcKpcjN48WOtltpGsd2nG3xla9BCFXa8xeYtFZownSgcpgn4d10O87XJ3_n_IBS5QhSH0SuBg=",
"id": "rs_049e6b492e9f3d48016a10d083841081918385070320c63629",
"summary": []
}
]
},
{
"role": "tool",
"content": "[skill_view] name=web-scraping (5,754 chars)",
"tool_call_id": "call_9fbWTwE1DNv3pWxgqmSYAZRa"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_dX0uD0o0kauTiYDBFylLcMRy",
"call_id": "call_dX0uD0o0kauTiYDBFylLcMRy",
"response_item_id": "fc_049e6b492e9f3d48016a10d088315081918c1a01c1fbbb5fb0",
"type": "function",
"function": {
"name": "read_file",
"arguments": "{\"limit\":100,\"path\":\"~/jarvis_memory/33_autoshortsbot.md\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[read_file] read ~/jarvis_memory/33_autoshortsbot.md from line 1 (2,117 chars)",
"tool_call_id": "call_dX0uD0o0kauTiYDBFylLcMRy"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_JPWe960fo2erX6rZzAGPir2s",
"call_id": "call_JPWe960fo2erX6rZzAGPir2s",
"response_item_id": "fc_049e6b492e9f3d48016a10d09fab2c819181f1920f7658878f",
"type": "function",
"function": {
"name": "patch",
"arguments": "{\"mode\":\"replace\",\"path\":\"~/jarvis_memory/33_autoshortsbot.md\",\"old_string\":\"- Initial content directions from Sir: life optimisation, AI, Christian faith / FaithTok.\",\"new_string\":\"- Initial content directions from Sir: life optimisation, AI. Christian faith / FaithTok was considered but is paused for now because mixing religion and AI is sensitive.\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[patch] replace in ~/jarvis_memory/33_autoshortsbot.md (1,009 chars result)",
"tool_call_id": "call_JPWe960fo2erX6rZzAGPir2s"
},
{
"role": "assistant",
"content": "Need research. Use browser official / creator academy maybe.",
"tool_calls": [
{
"id": "call_WqeXYv7Evz0KmUzxj33MV4wj",
"call_id": "call_WqeXYv7Evz0KmUzxj33MV4wj",
"response_item_id": "fc_049e6b492e9f3d48016a10d0ab6a9481919e5bed8c54984d5d",
"type": "function",
"function": {
"name": "browser_navigate",
"arguments": "{\"url\":\"https://www.tiktok.com/creators/creator-portal/en-us/content-strategy/creating-high-quality-videos-on-tiktok/\"}"
}
}
],
"finish_reason": "tool_calls",
"codex_message_items": [
{
"type": "message",
"role": "assistant",
"status": "completed",
"content": [
{
"type": "output_text",
"text": "Need research. Use browser official / creator academy maybe."
}
],
"id": "msg_049e6b492e9f3d48016a10d0aae9dc81919572c10964cdd1ac",
"phase": "commentary"
}
]
},
{
"role": "tool",
"content": "[browser_navigate] https://www.tiktok.com/creators/creator-portal/en-us/content-strategy/creating-high-quality-videos-on-tiktok/ (3,063 chars)",
"tool_call_id": "call_WqeXYv7Evz0KmUzxj33MV4wj"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_aCbQZlyiferHcYNpuNKvHffx",
"call_id": "call_aCbQZlyiferHcYNpuNKvHffx",
"response_item_id": "fc_049e6b492e9f3d48016a10d0b0ea588191837dbc141fc6940a",
"type": "function",
"function": {
"name": "browser_console",
"arguments": "{\"expression\":\"document.body.innerText.slice(0,5000)\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[browser_console] expression=document.body.innerText.slice(0,5000) (5,108 chars result)",
"tool_call_id": "call_aCbQZlyiferHcYNpuNKvHffx"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_k3rOrKWIoi0FcnImwWmDpEXo",
"call_id": "call_k3rOrKWIoi0FcnImwWmDpEXo",
"response_item_id": "fc_049e6b492e9f3d48016a10d0b42b1c8191b0d93d74c4a24183",
"type": "function",
"function": {
"name": "browser_console",
"arguments": "{\"expression\":\"const t=document.body.innerText; t.slice(t.indexOf('Damit sich deine Videos'), t.indexOf('Unternehmen'))\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "[browser_console] expression=const t=document.body.innerText; t.slice (56,875 chars result)",
"tool_call_id": "call_k3rOrKWIoi0FcnImwWmDpEXo"
},
{
"role": "assistant",
"content": "Need maybe YouTube creator tips.",
"tool_calls": [
{
"id": "call_AxAEqAbhwWQNZl4VVMN4UIiH",
"call_id": "call_AxAEqAbhwWQNZl4VVMN4UIiH",
"response_item_id": "fc_049e6b492e9f3d48016a10d0b941ec81918d650f9d1dd4f194",
"type": "function",
"function": {
"name": "browser_navigate",
"arguments": "{\"url\":\"https://support.google.com/youtube/answer/141805\"}"
}
}
],
"finish_reason": "tool_calls",
"codex_message_items": [
{
"type": "message",
"role": "assistant",
"status": "completed",
"content": [
{
"type": "output_text",
"text": "Need maybe YouTube creator tips."
}
],
"id": "msg_049e6b492e9f3d48016a10d0b8dbe8819190da3508c3171f08",
"phase": "commentary"
}
]
},
{
"role": "tool",
"content": "{\"success\": true, \"url\": \"https://support.google.com/youtube/answer/141805\", \"title\": \"FAQs zur Leistung von Inhalten auf YouTube und Fehlerbehebung - YouTube-Hilfe\", \"snapshot\": \"- generic\\n - link \\\"Zum Hauptinhalt springen\\\" [ref=e1]\\n - generic\\n - banner\\n - generic\\n - button \\\"Hauptmenü\\\" [expanded=false, ref=e9]\\n - image\\n - link \\\"YouTube-Hilfe\\\" [ref=e19]\\n - search\\n - combobox \\\"Hier bitte Frage eingeben\\\" [expanded=false, ref=e27]\\n - button \\\"Suchen in der Hilfe\\\" [ref=e20]\\n - image\\n - generic\\n - button \\\"Google-Apps\\\" [expanded=false, ref=e31]\\n - StaticText \\\" \\\"\\n - link \\\"Anmelden\\\" [ref=e21]\\n - StaticText \\\" \\\"\\n - StaticText \\\"Anmelden\\\"\\n - navigation \\\"Support page navigation bar\\\" [ref=e2]\\n - list\\n - listitem [level=1]\\n - link \\\"Hilfe\\\" [ref=e28]\\n - listitem [level=1]\\n - link \\\"Community\\\" [ref=e29]\\n - listitem [level=1]\\n - link \\\"Tipps für Creator\\\" [ref=e30]\\n - link \\\"YouTube (In neuem Fenster öffnen)\\\" [ref=e7]\\n - StaticText \\\"YouTube\\\"\\n - image\\n - navigation \\\"Obere Navigationsleiste\\\" [ref=e3]\\n - tablist\\n - tab \\\"Problembehebung\\\" [ref=e10]\\n - tab \\\"Videos ansehen\\\" [ref=e11]\\n - tab \\\"Konto und Einstellungen verwalten\\\" [ref=e12]\\n - tab \\\"YouTube mit Elternaufsicht\\\" [ref=e13]\\n - tab \\\"YouTube Premium\\\" [ref=e14]\\n - tab \\\"Kanal erstellen und ausbauen\\\" [selected, ref=e15]\\n - tab \\\"Mit dem YouTube-Partnerprogramm Einnahmen erzielen\\\" [ref=e16]\\n - tab \\\"Richtlinien, Sicherheit und Urheberrecht\\\" [ref=e17]\\n - navigation \\\"Breadcrumbs\\\" [ref=e4]\\n - list\\n - listitem [level=1]\\n - link \\\"Leistungsdaten mit YouTube Analytics analysieren\\\" [ref=e22]\\n - StaticText \\\"Leistungsdaten mit YouTube Analytics analysieren\\\"\\n - image\\n - listitem [level=1]\\n - link \\\"FAQs zur Leistung von Inhalten auf YouTube und Fehlerbehebung\\\" [ref=e23]\\n - StaticText \\\"FAQs zur Leistung von Inhalten auf YouTube und Fehlerbehebung\\\"\\n - generic \\\"Benachrichtigung\\\" [ref=e5] focusable [tabindex]\\n - generic [ref=e8] focusable [tabindex]\\n - paragraph\\n - StaticText \\\"Folge \\\"\\n - link \\\"@TeamYouTube auf X Opens in new window\\\" [ref=e24]\\n - StaticText \\\"@TeamYouTube auf X\\\"\\n - StaticText \\\"Opens in new window\\\"\\n - StaticText \\\", um aktuelle Informationen und Antworten auf deine Fragen auf Französisch/Russisch zu erhalten. Wir helfen dir gern weiter!\\\"\\n - button \\\"Schließen\\\" [ref=e18]\\n - generic\\n - main\\n - generic\\n - generic\\n - article\\n - generic\\n - heading \\\"FAQs zur Leistung von Inhalten auf YouTube und Fehlerbehebung\\\" [level=1, ref=e39]\\n - generic\\n - paragraph\\n - StaticText \\\"Das Such- und Empfehlungssystem von YouTube unterstützt Nutzer dabei, passende Videos zu finden und sorgt damit langfristig für maximale Zufriedenheit der Zuschauer. In den folgenden FAQs findest du Antworten auf deine Fragen zur Video- und Kanalleistung.\\\"\\n - paragraph\\n - Iframe \\\"Suche und Auffindbarkeit auf YouTube: FAQs zum Algorithmus und zur Leistung\\\" [ref=e50] clickable [cursor:pointer]\\n - generic\\n - generic \\\"YouTube-Videoplayer\\\"\\n - generic\\n - generic\\n - button \\\"Video abspielen\\\" [ref=e76]\\n - button \\\"Steuerelemente des Videoplayers ausblenden\\\" [ref=e75]\\n - generic\\n - link \\\"Suche und Auffindbarkeit auf YouTube: FAQs zum Algorithmus und zur Leistung\\\" [ref=e77]\\n - link \\\"YouTube Creators DE\\\" [ref=e78]\\n - generic\\n - button \\\"thumbnail-image\\\" [ref=e80]\\n - generic\\n - button \\\"Teilen\\\" [ref=e81]\\n - link \\\"Auf YouTube ansehen\\\" [ref=e79]\\n - generic\\n - link \\\"findest du hier\\\" [ref=e74]\\n - heading \\\"FAQs zur Auffindbarkeit\\\" [level=2, ref=e45]\\n - button \\\"Wie werden die empfohlenen Videos von YouTube ausgewählt?\\\" [expanded=false, ref=e51]\\n - button \\\"Wie werden meine Videos einem größeren Publikum vorgeschlagen?\\\" [expanded=false, ref=e52]\\n - button \\\"Wonach sind Videos auf der Startseite geordnet?\\\" [expanded=false, ref=e53]\\n - button \\\"Wie werden Videos für den Tab „Trends“ ausgewählt?\\\" [expanded=false, ref=e54]\\n - button \\\"Wonach sind Videos unter „Nächstes Video“ in den Vorschlägen geordnet?\\\" [expanded=false, ref=e55]\\n - button \\\"Wonach sind Videos in der Suche geordnet?\\\" [expanded=false, ref=e56]\\n - button \\\"Wird durch das Ändern des Titels oder des Thumbnails das Video vom Algorithmus neu bewertet?\\\" [expanded=false, ref=e57]\\n - button \\\"Wie kann ich Titel und Thumbnails für Suchanfragen optimieren?\\\" [expanded=false, ref=e58]\\n - button \\\"Wirkt sich der Monetarisierungsstatus (gelbes Symbol) auf die Auffindbarkeit meines Videos aus?\\\" [expanded=false, ref=e59]\\n - button \\\"Wie wichtig sind Tags?\\\" [expanded=false, ref=e60]\\n - button \\\"Kann ich mehr Zuschauer in einem bestimmten Land / einer Region erreichen, wenn ich dieses Land / diese Region als Standort meines Kanals angebe? (Beispiel: Ich ändere meinen Standort zu „USA“, obwohl ich in Brasilien bin.)\\\" [expanded=false, ref=e61]\\n - StaticText \\\"Kann ich mehr Zuschauer in einem bestimmten Land / einer Region erreichen, wenn ich dieses Land / diese Region als Standort meines Kanals angebe? (Beispiel: Ich ändere meinen Standort zu „USA“, obwohl ich in Brasilien bin.)\\\"\\n - button \\\"Wirken sich „Mag ich“- bzw. „Mag ich nicht“-Bewertungen auf die Empfehlung meiner Videos aus?\\\" [expanded=false, ref=e62]\\n - button \\\"Wenn ich ein Video als „nicht gelistet“ hochlade und es später öffentlich mache, wird die Videoleistung dadurch beeinträchtigt?\\\" [expanded=false, ref=e63]\\n - heading \\\"FAQs zur Leistung\\\" [level=2, ref=e46]\\n - button \\\"Schadet es der Kanalleistung, wenn eines meiner Videos schlecht abschneidet?\\\" [expanded=false, ref=e64]\\n - button \\\"Wird die Leistung meines Kanals beeinträchtigt, wenn ich eine Weile nichts hochlade?\\\" [expanded=false, ref=e65]\\n - button \\\"Muss ich täglich oder mindestens einmal pro Woche Videos hochladen?\\\" [expanded=false, ref=e66]\\n - button \\\"Wann ist der beste Zeitpunkt, um Videos zu veröffentlichen?\\\" [expanded=false, ref=e67]\\n - button \\\"Was ist wichtiger – der durchschnittliche Prozentsatz der Wiedergabe oder die durchschnittliche Wiedergabedauer?\\\" [expanded=false, ref=e68]\\n - button \\\"Warum sind meine Aufrufzahlen niedriger als meine Abonnentenzahl?\\\" [expanded=false, ref=e69]\\n - button \\\"Warum wird mein Kanal seltener über die Startseite oder die Videovorschläge aufgerufen?\\\" [expanded=false, ref=e70]\\n - button \\\"Ein altes Video wird seit Kurzem sehr oft angesehen. Warum?\\\" [expanded=false, ref=e71]\\n - button \\\"Wie wirkt sich die Kennzeichnung „Speziell für Kinder“ auf meine Videoleistung aus?\\\" [expanded=false, ref=e72]\\n - button \\\"Feedback zu diesem Artikel geben\\\" [ref=e73]\\n - generic\\n - heading \\\"War das hilfreich?\\\" [level=2, ref=e47]\\n - button \\\"Ja (War das hilfreich?)\\\" [ref=e48]\\n - button \\\"Nein (War das hilfreich?)\\\" [ref=e49]\\n - heading \\\"Benötigen Sie weitere Hilfe?\\\" [level=2, ref=e32]\\n - heading \\\"Mögliche weitere Schritte:\\\" [level=3, ref=e33]\\n\\n[... 32 more lines truncated, use browser_snapshot for full content]\", \"element_count\": 81}",
"tool_call_id": "call_AxAEqAbhwWQNZl4VVMN4UIiH"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_la0wDv5ML9N5g3CDeytegskk",
"call_id": "call_la0wDv5ML9N5g3CDeytegskk",
"response_item_id": "fc_049e6b492e9f3d48016a10d0bffa908191ab8da66a82f6f89f",
"type": "function",
"function": {
"name": "browser_click",
"arguments": "{\"ref\":\"e68\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"success\": true, \"clicked\": \"@e68\"}",
"tool_call_id": "call_la0wDv5ML9N5g3CDeytegskk"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_7GX6iheSFku6JxLwhxE0h59k",
"call_id": "call_7GX6iheSFku6JxLwhxE0h59k",
"response_item_id": "fc_049e6b492e9f3d48016a10d0c2f8e08191b0fb8cc8472f9177",
"type": "function",
"function": {
"name": "browser_console",
"arguments": "{\"expression\":\"document.body.innerText.slice(document.body.innerText.indexOf('Was ist wichtiger'), document.body.innerText.indexOf('Warum sind meine Aufrufzahlen'))\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"success\": true, \"result\": \"Was ist wichtiger – der durchschnittliche Prozentsatz der Wiedergabe oder die durchschnittliche Wiedergabedauer?\\n\", \"result_type\": \"str\"}",
"tool_call_id": "call_7GX6iheSFku6JxLwhxE0h59k"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_wV1siZXH0Wpgpt74UjBQMIEC",
"call_id": "call_wV1siZXH0Wpgpt74UjBQMIEC",
"response_item_id": "fc_049e6b492e9f3d48016a10d0c655f08191916ace0783ca0c00",
"type": "function",
"function": {
"name": "browser_snapshot",
"arguments": "{\"full\":true}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"success\": true, \"snapshot\": \"- generic\\n - link \\\"Zum Hauptinhalt springen\\\" [ref=e1]\\n - generic\\n - banner\\n - generic\\n - button \\\"Hauptmenü\\\" [expanded=false, ref=e9]\\n - image\\n - link \\\"YouTube-Hilfe\\\" [ref=e19]\\n - search\\n - combobox \\\"Hier bitte Frage eingeben\\\" [expanded=false, ref=e27]\\n - button \\\"Suchen in der Hilfe\\\" [ref=e20]\\n - image\\n - generic\\n - button \\\"Google-Apps\\\" [expanded=false, ref=e31]\\n - StaticText \\\" \\\"\\n - link \\\"Anmelden\\\" [ref=e21]\\n - StaticText \\\" \\\"\\n - StaticText \\\"Anmelden\\\"\\n - navigation \\\"Support page navigation bar\\\" [ref=e2]\\n - list\\n - listitem [level=1]\\n - link \\\"Hilfe\\\" [ref=e28]\\n - listitem [level=1]\\n - link \\\"Community\\\" [ref=e29]\\n - listitem [level=1]\\n - link \\\"Tipps für Creator\\\" [ref=e30]\\n - link \\\"YouTube (In neuem Fenster öffnen)\\\" [ref=e7]\\n - StaticText \\\"YouTube\\\"\\n - image\\n - navigation \\\"Obere Navigationsleiste\\\" [ref=e3]\\n - tablist\\n - tab \\\"Problembehebung\\\" [ref=e10]\\n - tab \\\"Videos ansehen\\\" [ref=e11]\\n - tab \\\"Konto und Einstellungen verwalten\\\" [ref=e12]\\n - tab \\\"YouTube mit Elternaufsicht\\\" [ref=e13]\\n - tab \\\"YouTube Premium\\\" [ref=e14]\\n - tab \\\"Kanal erstellen und ausbauen\\\" [selected, ref=e15]\\n - tab \\\"Mit dem YouTube-Partnerprogramm Einnahmen erzielen\\\" [ref=e16]\\n - tab \\\"Richtlinien, Sicherheit und Urheberrecht\\\" [ref=e17]\\n - navigation \\\"Breadcrumbs\\\" [ref=e4]\\n - list\\n - listitem [level=1]\\n - link \\\"Leistungsdaten mit YouTube Analytics analysieren\\\" [ref=e22]\\n - StaticText \\\"Leistungsdaten mit YouTube Analytics analysieren\\\"\\n - image\\n - listitem [level=1]\\n - link \\\"FAQs zur Leistung von Inhalten auf YouTube und Fehlerbehebung\\\" [ref=e23]\\n - StaticText \\\"FAQs zur Leistung von Inhalten auf YouTube und Fehlerbehebung\\\"\\n - generic \\\"Benachrichtigung\\\" [ref=e5] focusable [tabindex]\\n - generic [ref=e8] focusable [tabindex]\\n - paragraph\\n - StaticText \\\"Folge \\\"\\n - link \\\"@TeamYouTube auf X Opens in new window\\\" [ref=e24]\\n - StaticText \\\"@TeamYouTube auf X\\\"\\n - StaticText \\\"Opens in new window\\\"\\n - StaticText \\\", um aktuelle Informationen und Antworten auf deine Fragen auf Französisch/Russisch zu erhalten. Wir helfen dir gern weiter!\\\"\\n - button \\\"Schließen\\\" [ref=e18]\\n - generic\\n - main\\n - generic\\n - generic\\n - article\\n - generic\\n - heading \\\"FAQs zur Leistung von Inhalten auf YouTube und Fehlerbehebung\\\" [level=1, ref=e39]\\n - generic\\n - paragraph\\n - StaticText \\\"Das Such- und Empfehlungssystem von YouTube unterstützt Nutzer dabei, passende Videos zu finden und sorgt damit langfristig für maximale Zufriedenheit der Zuschauer. In den folgenden FAQs findest du Antworten auf deine Fragen zur Video- und Kanalleistung.\\\"\\n - paragraph\\n - Iframe \\\"Suche und Auffindbarkeit auf YouTube: FAQs zum Algorithmus und zur Leistung\\\" [ref=e50] clickable [cursor:pointer]\\n - generic\\n - generic \\\"YouTube-Videoplayer\\\"\\n - generic\\n - generic\\n - button \\\"Video abspielen\\\" [ref=e76]\\n - button \\\"Steuerelemente des Videoplayers ausblenden\\\" [ref=e75]\\n - generic\\n - link \\\"Suche und Auffindbarkeit auf YouTube: FAQs zum Algorithmus und zur Leistung\\\" [ref=e77]\\n - link \\\"YouTube Creators DE\\\" [ref=e78]\\n - StaticText \\\"YouTube Creators DE\\\"\\n - generic\\n - button \\\"thumbnail-image\\\" [ref=e80]\\n - image \\\"thumbnail-image\\\"\\n - StaticText \\\"YouTube Creators DE\\\"\\n - StaticText \\\"55.300 Abonnenten\\\"\\n - generic\\n - button \\\"Teilen\\\" [ref=e81]\\n - link \\\"Auf YouTube ansehen\\\" [ref=e79]\\n - StaticText \\\"Ansehen auf\\\"\\n - generic\\n - StaticText \\\"Tipps für Creator zur Auffindbarkeit von Videos \\\"\\n - link \\\"findest du hier\\\" [ref=e74]\\n - StaticText \\\".\\\"\\n - heading \\\"FAQs zur Auffindbarkeit\\\" [level=2, ref=e45]\\n - button \\\"Wie werden die empfohlenen Videos von YouTube ausgewählt?\\\" [expanded=false, ref=e51]\\n - StaticText \\\"Wie werden die empfohlenen Videos von YouTube ausgewählt?\\\"\\n - button \\\"Wie werden meine Videos einem größeren Publikum vorgeschlagen?\\\" [expanded=false, ref=e52]\\n - StaticText \\\"Wie werden meine Videos einem größeren Publikum vorgeschlagen?\\\"\\n - button \\\"Wonach sind Videos auf der Startseite geordnet?\\\" [expanded=false, ref=e53]\\n - StaticText \\\"Wonach sind Videos auf der Startseite geordnet?\\\"\\n - button \\\"Wie werden Videos für den Tab „Trends“ ausgewählt?\\\" [expanded=false, ref=e54]\\n - StaticText \\\"Wie werden Videos für den Tab „Trends“ ausgewählt?\\\"\\n - button \\\"Wonach sind Videos unter „Nächstes Video“ in den Vorschlägen geordnet?\\\" [expanded=false, ref=e55]\\n - StaticText \\\"Wonach sind Videos unter „Nächstes Video“ in den Vorschlägen geordnet?\\\"\\n - button \\\"Wonach sind Videos in der Suche geordnet?\\\" [expanded=false, ref=e56]\\n - StaticText \\\"Wonach sind Videos in der Suche geordnet?\\\"\\n - button \\\"Wird durch das Ändern des Titels oder des Thumbnails das Video vom Algorithmus neu bewertet?\\\" [expanded=false, ref=e57]\\n - StaticText \\\"Wird durch das Ändern des Titels oder des Thumbnails das Video vom Algorithmus neu bewertet?\\\"\\n - button \\\"Wie kann ich Titel und Thumbnails für Suchanfragen optimieren?\\\" [expanded=false, ref=e58]\\n - StaticText \\\"Wie kann ich Titel und Thumbnails für Suchanfragen optimieren?\\\"\\n - button \\\"Wirkt sich der Monetarisierungsstatus (gelbes Symbol) auf die Auffindbarkeit meines Videos aus?\\\" [expanded=false, ref=e59]\\n - StaticText \\\"Wirkt sich der Monetarisierungsstatus (gelbes Symbol) auf die Auffindbarkeit meines Videos aus?\\\"\\n - button \\\"Wie wichtig sind Tags?\\\" [expanded=false, ref=e60]\\n - StaticText \\\"Wie wichtig sind Tags?\\\"\\n - button \\\"Kann ich mehr Zuschauer in einem bestimmten Land / einer Region erreichen, wenn ich dieses Land / diese Region als Standort meines Kanals angebe? (Beispiel: Ich ändere meinen Standort zu „USA“, obwohl ich in Brasilien bin.)\\\" [expanded=false, ref=e61]\\n - StaticText \\\"Kann ich mehr Zuschauer in einem bestimmten Land / einer Region erreichen, wenn ich dieses Land / diese Region als Standort meines Kanals angebe? (Beispiel: Ich ändere meinen Standort zu „USA“, obwohl ich in Brasilien bin.)\\\"\\n - button \\\"Wirken sich „Mag ich“- bzw. „Mag ich nicht“-Bewertungen auf die Empfehlung meiner Videos aus?\\\" [expanded=false, ref=e62]\\n - StaticText \\\"Wirken sich „Mag ich“- bzw. „Mag ich nicht“-Bewertungen auf die Empfehlung meiner Videos aus?\\\"\\n - button \\\"Wenn ich ein Video als „nicht gelistet“ hochlade und es später öffentlich mache, wird die Videoleistung dadurch beeinträchtigt?\\\" [expanded=false, ref=e63]\\n - StaticText \\\"Wenn ich ein Video als „nicht gelistet“ hochlade und es später öffentlich mache, wird die Videoleistung dadurch beeinträchtigt?\\\"\\n - heading \\\"FAQs zur Leistung\\\" [level=2, ref=e46]\\n\\n[... 79 more lines truncated, use browser_snapshot for full content]\", \"element_count\": 81}",
"tool_call_id": "call_wV1siZXH0Wpgpt74UjBQMIEC"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_V44w3xprRYbhNoySUJDyXwQU",
"call_id": "call_V44w3xprRYbhNoySUJDyXwQU",
"response_item_id": "fc_049e6b492e9f3d48016a10d0cdb4688191a016e2226ab48b7b",
"type": "function",
"function": {
"name": "browser_console",
"arguments": "{\"expression\":\"Array.from(document.querySelectorAll('button')).find(b=>b.innerText.includes('Was ist wichtiger')).click(); 'clicked'\"}"
}
}
],
"finish_reason": "tool_calls",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqENDOLAaHBoLHDLelRVheI26jbQlTQQ8wSzCVzsBjHSrRBCXCE1_D3RA9HReMQYZX7DYYQLYkrO9v2QsNgQk9OCH9yGGFBq2Q8P1HncfLL2bkQCpOuYP3Qb63rP_xj4bpJbxymVRctmf9RToeWw_xj4j6iZ6bePHM4aTRgwheHECdrYhEQwPwkxDojigM6IUL0xi6aq0MUkDLgd5uC_g69jSIJSzJuR_JW57curw0cpJnrKnVGhf361FMWf5x1sYIJy3oNjfL-04SlBgsx3I7ScxQ-NF5TCD7K5vtky5BmEdoCrzUCE-jysFUFEnbU30i0P2MiDlnDqWgwZCl0o3pSCKFQa-HQ1KIMIEOC_Uv_UxVuYKq-pWxmXh-fzNzVCUxbmQq31cJBoBDzRzhoqEgZ1jw-RE49cIX9T57xY0kWQI65LmfzDxaa35wgzGknRuggpp_GIuFTuKQAI24hM90iJDxeGNQVaFCZEV9jzFzzfnnb0DnRKBAnnbWsOK84T3rn6xO3a4OfDMxBDpGvqksA30XO9eOt4SEHmtwVR7ZbeRBVkKCwsl4JHEnFCcEJRLJzwoeg9UcIo0ppi94o9GKAy8YpzaMaoJlRSN4mfyxkL9JTQzrNES1x2KC9Nh92UTEZDTihL4J0VzQRse0ggYfwQAhkayRncVpZEfItDJqymAMpd9qSilzEGuezjQ9zsJ9H54VGy-BPingzE9JYQWrZ0_Ixav_gLtJNtoSwR3Stj-v5ebinWycwpMjG-JW7pmi9g_BkE8ObNDePvgRwE7gqM05U44rjIxG_glUjlE7WjBxIpD138K-R0jvfJ0v9R65XEc9ICSYnwDhOe2hHfJHHnw5zGIgaAtigS5EjVvFFYvzU67T9xyOJfdn_LGxBIknHN5aPL556rqRnQD_FKyBZr4dP4Y0Hl7P1DCJbRBWj-j8gmqOyD0L177JJG9tCL4qOL3OyQeeGycfyJn9ptIuD6UrPg==",
"id": "rs_049e6b492e9f3d48016a10d0cbe5a8819186c3b017ef198dd8",
"summary": []
}
]
},
{
"role": "tool",
"content": "{\"success\": false, \"error\": \"Evaluation error: TypeError: Cannot read properties of undefined (reading 'click')\\n at :1:99\"}",
"tool_call_id": "call_V44w3xprRYbhNoySUJDyXwQU"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_l8uYjCiwjLY3ErWpQXPSjbt9",
"call_id": "call_l8uYjCiwjLY3ErWpQXPSjbt9",
"response_item_id": "fc_049e6b492e9f3d48016a10d0d33a888191b59cff05f4199540",
"type": "function",
"function": {
"name": "todo",
"arguments": "{\"todos\":[{\"id\":\"1\",\"content\":\"Recherche-Erkenntnisse zu Retention/Monetarisierung in Projektregeln übersetzen\",\"status\":\"in_progress\"},{\"id\":\"2\",\"content\":\"FaithTok pausieren und Testbatch v2 ohne religiöse Themen modellieren\",\"status\":\"pending\"},{\"id\":\"3\",\"content\":\"Retention-Scoring/Validation implementieren und Review-Drafts neu generieren\",\"status\":\"pending\"},{\"id\":\"4\",\"content\":\"Tests ausführen, committen und pushen\",\"status\":\"pending\"}]}"
}
}
],
"finish_reason": "tool_calls",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqENDVTc8UmvQR2hmQrhSkmkASG2Fw-ukodctvVVSVz45LuRePoFD8g_RU7MEGdABv_brLGLjFzOPK4auSBp9jjjA_VnwkecSNiZ6dWHpAeP-9L0_ZE8nvFW0oD8cfW8V-OvpOHRp4Hf9RC1LDZnJn5SaFyx1o5OoyyMO_W2WieVD-xl_7lvdoGrwe7g_IxGrDy1E7d7zsjSy0eBnp0H71rfgExH7OzFQ6vuAjhRG1UBrRCoIS5mqb-AHuJQlhUx_ebeJHFZIsLxogcbzLAmB1qxc8Qok8Lmzi_R8F4z8XXG1OOxGOrCnlJqXGj4_kYRdq4q8kKhaCVxHrWvzsCUSmqLSBLvB74vqx94USUReFRyV_6ZXYIinWDhPE4ebCYf4ozfbzN_PZI__g8vlveR_fX5SY1MjQLZ5fEaXMcm2T2byid7_axKBeEBrX8Y-kaZU_q6iKCTUmQWVh6pZzpe1Bc2ey9JryRgj1kGIQbm8q1BMHk6ygwFQFc19qtzU_nkuh0XuVbaCm2okjdJFqmOwKf8f9y2-KvKO56ju1ZJoMNYV7uFRdw-W6cMoPssavOlkewGqvPBoTKW5Vlbrg6XTW-9D8pxzSC8EJ3i8xH9pxroKsCGD0wimAfZCpuCmGxqhK776o1pZikR02_vMJoP_IV1e5-THLq5xpNKTEcFSt-xnb4S1eyR3qyFSpa_TC9bSMU6mQc9b10DiH9TGzT4F4T7HmXOeSpmALuCG7b4KVB5Rct8WcnmTDCIyqvQIrNM2JRuh7qRFJZvI0JLxpnPG0ilZHjDnmP0AccVbHu23aSKJtfJUAuxtsk8xnb72lX_3aO_W8B8uxDcEagZJCjsx5ScAHSV51hNsnXyW3H-C2yPpMGpt4arR9SF6dD-em3hJVcrH8jezfIJYfMAura96ZsTDzbjVlRUkZ2UqmMVIhF7gSiLDhF2oZIMPjhFez0r5UwaNnrTHFfEk__Qf3Yw2rv_-C29iJkAwjCU7f9m_z8lsSTTvUR55FYz-779bR7nGIV0YH1Q7b6VHONgRLxh9fz81rJJpipthIbywDnMiXWb7qCk7-Wabgj-rC7DbKSg32b1sQrx_2qxnz_U8Ssr1KgntzaHdC5ZdpeisRIK7Mn7aRWeSLMGbBHS4vTfYM4bGdmx8LcSE8k3NUaPd6WpTfnLzOj6ux8nWcPaSLGrdA-4tVATkAUAvM0gicxC_1hbbE6NHnAcmiZ8P8BKX9pVNLYJG249e0Tbp7GNdiHmrecA-1Lt0Ml5QPbmYz0SebuSjbfGLGcBk8gGtmkg2CPXTpberjfIimPwMCcbOPW3Vsa0Uccva6uF4Il4KZ-pBgDorJt1tnC6Ih8buXbW-yEwirNG5kxHYew-pMiKSqe6z48nWBIZO20ka6WEJVb6SwpBZh1tGfrGth9q666GLcyemMTCBaKCw4pI0iv6X6UfSCPh8iCQs90EGjgVV-BTrxpZCKtRjKBjpwFMVEYO3koBXoVGMGVv2SyyCfQHfYpdeCbNt0159zzrbKZZqvVmxlsA5fOU2yusjAP0dSKCgx8QfTz88VyXnDLaIfF_oKAhFGe6oSLZCyAYrdCEtVIm1ZJygHCiiMHJ1nmULlfS_iYCfT5FQ2Nzr38lmvnd12puAANHbmNe1uZfu-VAOyhkWNl408YnSaZyLi_aERrv_vh97ct1G-rcFrz5dFwLS95qXIlSoBc7oRDg1euBJaM-S4mHqqhigMyicKp8RXMMkImY8WWnhKBSzeCB0U_LEJi9oWogPSe_J3W4v1Ek9kZLLb5bmg515y",
"id": "rs_049e6b492e9f3d48016a10d0d0583881919fd0efa964d98578",
"summary": []
}
]
},
{
"role": "tool",
"content": "{\"todos\": [{\"id\": \"1\", \"content\": \"Recherche-Erkenntnisse zu Retention/Monetarisierung in Projektregeln übersetzen\", \"status\": \"in_progress\"}, {\"id\": \"2\", \"content\": \"FaithTok pausieren und Testbatch v2 ohne religiöse Themen modellieren\", \"status\": \"pending\"}, {\"id\": \"3\", \"content\": \"Retention-Scoring/Validation implementieren und Review-Drafts neu generieren\", \"status\": \"pending\"}, {\"id\": \"4\", \"content\": \"Tests ausführen, committen und pushen\", \"status\": \"pending\"}], \"summary\": {\"total\": 4, \"pending\": 3, \"in_progress\": 1, \"completed\": 0, \"cancelled\": 0}}",
"tool_call_id": "call_l8uYjCiwjLY3ErWpQXPSjbt9"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_e5JzdsRmCI60bMB47lElSfMt",
"call_id": "call_e5JzdsRmCI60bMB47lElSfMt",
"response_item_id": "fc_049e6b492e9f3d48016a10d0f01f4081919486b8299a8caae7",
"type": "function",
"function": {
"name": "write_file",
"arguments": "{\"content\":\"from autoshorts.retention import score_hook, score_idea_retention\\n\\n\\ndef test_score_hook_rewards_specific_tension_and_direct_address():\\n weak = score_hook(\\\"Here are some productivity tips\\\")\\n strong = score_hook(\\\"If your brain has 47 tabs open, do this before opening TikTok.\\\")\\n\\n assert strong[\\\"score\\\"] > weak[\\\"score\\\"]\\n assert \\\"specificity\\\" in strong[\\\"signals\\\"]\\n assert \\\"direct_address\\\" in strong[\\\"signals\\\"]\\n assert \\\"open_loop\\\" in strong[\\\"signals\\\"]\\n\\n\\ndef test_score_idea_retention_penalizes_slow_generic_intros():\\n idea = {\\n \\\"hook\\\": \\\"In this video I will talk about productivity tips.\\\",\\n \\\"duration_seconds\\\": 75,\\n \\\"visual_concept\\\": \\\"Static slideshow with abstract background.\\\",\\n \\\"script_outline\\\": \\\"Some generic advice about habits and routines.\\\",\\n \\\"cta\\\": \\\"Follow for more.\\\",\\n }\\n\\n result = score_idea_retention(idea)\\n\\n assert result[\\\"score\\\"] < 7\\n assert \\\"slow_intro\\\" in result[\\\"risks\\\"]\\n assert \\\"generic_value\\\" in result[\\\"risks\\\"]\\n\\n\\ndef test_score_idea_retention_accepts_strong_testbatch_candidate():\\n idea = {\\n \\\"hook\\\": \\\"You do not need more discipline. You need a smaller first step.\\\",\\n \\\"duration_seconds\\\": 38,\\n \\\"visual_concept\\\": \\\"Pattern interrupt: messy desk becomes one tiny next action with timer and captions.\\\",\\n \\\"script_outline\\\": \\\"Challenge the discipline myth, show the two-minute starter, give one concrete example, close the loop.\\\",\\n \\\"cta\\\": \\\"Comment START if you want the template.\\\",\\n }\\n\\n result = score_idea_retention(idea)\\n\\n assert result[\\\"score\\\"] >= 8\\n assert not result[\\\"risks\\\"]\\n\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_retention.py\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"bytes_written\": 1608, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"lsp_diagnostics\": \"LSP diagnostics introduced by this edit:\\n\\nERROR [1:6] Import \\\"autoshorts.retention\\\" could not be resolved [reportMissingImports] (Pyright)\\n\"}",
"tool_call_id": "call_e5JzdsRmCI60bMB47lElSfMt"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_Mha2WuYEksAKh5xYAUI4O5eA",
"call_id": "call_Mha2WuYEksAKh5xYAUI4O5eA",
"response_item_id": "fc_049e6b492e9f3d48016a10d10528048191bf4be7daa65275c2",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"python3 -m pytest tests/test_retention.py -q\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"output\": \"==================================== ERRORS ====================================\\n___________________ ERROR collecting tests/test_retention.py ___________________\\nImportError while importing test module '/home/agent/jarvis_runtime/AutoShortsBot/tests/test_retention.py'.\\nHint: make sure your test modules/packages have valid Python names.\\nTraceback:\\n../../.local/share/uv/python/cpython-3.11.15-linux-x86_64-gnu/lib/python3.11/importlib/__init__.py:126: in import_module\\n return _bootstrap._gcd_import(name[level:], package, level)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\ntests/test_retention.py:1: in \\n from autoshorts.retention import score_hook, score_idea_retention\\nE ModuleNotFoundError: No module named 'autoshorts.retention'\\n=========================== short test summary info ============================\\nERROR tests/test_retention.py\\n!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!\\n1 error in 0.10s\", \"exit_code\": 2, \"error\": null}",
"tool_call_id": "call_Mha2WuYEksAKh5xYAUI4O5eA"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_z7tlafYrSbtWHAOPpAPTv1gY",
"call_id": "call_z7tlafYrSbtWHAOPpAPTv1gY",
"response_item_id": "fc_049e6b492e9f3d48016a10d108d39481918ee506864aa555ab",
"type": "function",
"function": {
"name": "write_file",
"arguments": "{\"content\":\"\\\"\\\"\\\"Heuristic retention scoring for short-form ideas.\\n\\nThe goal is not to predict virality perfectly. The goal is to reject obvious\\nscroll-past drafts before rendering: slow intros, generic advice, static visuals,\\nand weak payoffs.\\n\\\"\\\"\\\"\\n\\nfrom __future__ import annotations\\n\\nimport re\\nfrom typing import Any\\n\\nDIRECT_ADDRESS = (\\\"you\\\", \\\"your\\\", \\\"du\\\", \\\"dein\\\", \\\"deine\\\", \\\"dich\\\")\\nOPEN_LOOP = (\\\"do this\\\", \\\"mach\\\", \\\"before\\\", \\\"bevor\\\", \\\"why\\\", \\\"warum\\\", \\\"not\\\", \\\"nicht\\\", \\\"instead\\\")\\nGENERIC_TERMS = (\\\"tips\\\", \\\"tipps\\\", \\\"habits\\\", \\\"routines\\\", \\\"productivity\\\", \\\"motivation\\\", \\\"mindset\\\")\\nSPECIFIC_MARKERS = re.compile(r\\\"\\\\b(\\\\d+|one|two|three|first|last|minute|minutes|sekunden|minute|tabs|tiktok|ki|ai)\\\\b\\\", re.I)\\nSLOW_INTRO_MARKERS = (\\n \\\"in this video\\\",\\n \\\"in diesem video\\\",\\n \\\"today i will\\\",\\n \\\"heute werde ich\\\",\\n \\\"i will talk\\\",\\n \\\"we will discuss\\\",\\n)\\nVISUAL_ENERGY_MARKERS = (\\n \\\"pattern interrupt\\\",\\n \\\"before/after\\\",\\n \\\"messy\\\",\\n \\\"timer\\\",\\n \\\"captions\\\",\\n \\\"screen recording\\\",\\n \\\"cards\\\",\\n \\\"close-up\\\",\\n \\\"schnelle\\\",\\n \\\"cut\\\",\\n)\\nCOMMENT_CTA_MARKERS = (\\\"comment\\\", \\\"kommentar\\\", \\\"write\\\", \\\"schreib\\\", \\\"reply\\\", \\\"antwort\\\", \\\"start\\\", \\\"reset\\\")\\n\\n\\ndef _contains_any(text: str, markers: tuple[str, ...]) -> bool:\\n lower = text.lower()\\n return any(marker in lower for marker in markers)\\n\\n\\ndef score_hook(hook: str) -> dict[str, Any]:\\n \\\"\\\"\\\"Score a hook for first-second retention signals.\\\"\\\"\\\"\\n signals: list[str] = []\\n risks: list[str] = []\\n score = 3\\n lower = hook.lower()\\n\\n if _contains_any(lower, DIRECT_ADDRESS):\\n score += 1\\n signals.append(\\\"direct_address\\\")\\n if _contains_any(lower, OPEN_LOOP):\\n score += 2\\n signals.append(\\\"open_loop\\\")\\n if SPECIFIC_MARKERS.search(hook):\\n score += 2\\n signals.append(\\\"specificity\\\")\\n if any(token in lower for token in (\\\"not\\\", \\\"nicht\\\", \\\"without\\\", \\\"ohne\\\", \\\"stop\\\", \\\"stopp\\\")):\\n score += 1\\n signals.append(\\\"tension\\\")\\n if len(hook.split()) <= 14:\\n score += 1\\n signals.append(\\\"short_hook\\\")\\n if _contains_any(lower, SLOW_INTRO_MARKERS):\\n score -= 4\\n risks.append(\\\"slow_intro\\\")\\n if hook.endswith(\\\".\\\") and not signals:\\n score -= 1\\n risks.append(\\\"flat_statement\\\")\\n\\n return {\\\"score\\\": max(0, min(score, 10)), \\\"signals\\\": signals, \\\"risks\\\": risks}\\n\\n\\ndef score_idea_retention(idea: dict[str, Any]) -> dict[str, Any]:\\n \\\"\\\"\\\"Score an idea using hook, pacing, visual energy, value, and CTA.\\\"\\\"\\\"\\n hook_result = score_hook(str(idea.get(\\\"hook\\\", \\\"\\\")))\\n score = hook_result[\\\"score\\\"]\\n risks = list(hook_result[\\\"risks\\\"])\\n signals = list(hook_result[\\\"signals\\\"])\\n\\n duration = int(idea.get(\\\"duration_seconds\\\", 0))\\n visual = str(idea.get(\\\"visual_concept\\\", \\\"\\\"))\\n outline = str(idea.get(\\\"script_outline\\\", \\\"\\\"))\\n cta = str(idea.get(\\\"cta\\\", \\\"\\\"))\\n combined_value = f\\\"{outline} {visual}\\\".lower()\\n\\n if 20 <= duration <= 45:\\n score += 1\\n signals.append(\\\"growth_duration\\\")\\n elif 60 <= duration <= 75:\\n signals.append(\\\"monetization_duration\\\")\\n elif duration > 90:\\n score -= 2\\n risks.append(\\\"too_long_for_unproven_format\\\")\\n\\n if _contains_any(visual, VISUAL_ENERGY_MARKERS):\\n score += 1\\n signals.append(\\\"visual_energy\\\")\\n elif \\\"static\\\" in visual.lower() or \\\"slideshow\\\" in visual.lower():\\n score -= 2\\n risks.append(\\\"static_visuals\\\")\\n\\n generic_count = sum(1 for term in GENERIC_TERMS if term in combined_value)\\n concrete_markers = sum(\\n 1\\n for term in (\\\"example\\\", \\\"template\\\", \\\"timer\\\", \\\"calendar\\\", \\\"prompt\\\", \\\"before\\\", \\\"after\\\", \\\"two-minute\\\", \\\"2-minute\\\")\\n if term in combined_value\\n )\\n if generic_count >= 2 and concrete_markers == 0:\\n score -= 2\\n risks.append(\\\"generic_value\\\")\\n elif concrete_markers:\\n score += 1\\n signals.append(\\\"concrete_payoff\\\")\\n\\n if _contains_any(cta, COMMENT_CTA_MARKERS):\\n score += 1\\n signals.append(\\\"comment_trigger\\\")\\n\\n return {\\n \\\"score\\\": max(0, min(score, 10)),\\n \\\"signals\\\": sorted(set(signals)),\\n \\\"risks\\\": sorted(set(risks)),\\n }\\n\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/retention.py\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"bytes_written\": 4084, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"tool_call_id": "call_z7tlafYrSbtWHAOPpAPTv1gY"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_7gwhxKbU6q9Vgqb1jepq6ZXQ",
"call_id": "call_7gwhxKbU6q9Vgqb1jepq6ZXQ",
"response_item_id": "fc_049e6b492e9f3d48016a10d123fd708191ad698cbbdecfe89e",
"type": "function",
"function": {
"name": "patch",
"arguments": "{\"mode\":\"replace\",\"new_string\":\"__all__ = [\\\"growth_plan\\\", \\\"retention\\\", \\\"script_drafts\\\"]\",\"old_string\":\"__all__ = [\\\"growth_plan\\\", \\\"script_drafts\\\"]\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__init__.py\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__init__.py\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__init__.py\\n@@ -1,3 +1,3 @@\\n \\\"\\\"\\\"AutoShortsBot growth engine package.\\\"\\\"\\\"\\n \\n-__all__ = [\\\"growth_plan\\\", \\\"script_drafts\\\"]\\n+__all__ = [\\\"growth_plan\\\", \\\"retention\\\", \\\"script_drafts\\\"]\\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__init__.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"tool_call_id": "call_7gwhxKbU6q9Vgqb1jepq6ZXQ"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_S9PrzbLu5yweYKUacLiqBiph",
"call_id": "call_S9PrzbLu5yweYKUacLiqBiph",
"response_item_id": "fc_049e6b492e9f3d48016a10d12a7b1081919168dd57374359e2",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"python3 -m pytest tests/test_retention.py -q\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"output\": \"... [100%]\\n3 passed in 0.03s\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_S9PrzbLu5yweYKUacLiqBiph"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_kycfs7FsrpuMiz1YQ1BP2y6Z",
"call_id": "call_kycfs7FsrpuMiz1YQ1BP2y6Z",
"response_item_id": "fc_049e6b492e9f3d48016a10d12e850881919cb0cd8d05a97ebf",
"type": "function",
"function": {
"name": "todo",
"arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Recherche-Erkenntnisse zu Retention/Monetarisierung in Projektregeln übersetzen\",\"id\":\"1\",\"status\":\"completed\"},{\"content\":\"FaithTok pausieren und Testbatch v2 ohne religiöse Themen modellieren\",\"id\":\"2\",\"status\":\"in_progress\"}]}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"todos\": [{\"id\": \"1\", \"content\": \"Recherche-Erkenntnisse zu Retention/Monetarisierung in Projektregeln übersetzen\", \"status\": \"completed\"}, {\"id\": \"2\", \"content\": \"FaithTok pausieren und Testbatch v2 ohne religiöse Themen modellieren\", \"status\": \"in_progress\"}, {\"id\": \"3\", \"content\": \"Retention-Scoring/Validation implementieren und Review-Drafts neu generieren\", \"status\": \"pending\"}, {\"id\": \"4\", \"content\": \"Tests ausführen, committen und pushen\", \"status\": \"pending\"}], \"summary\": {\"total\": 4, \"pending\": 2, \"in_progress\": 1, \"completed\": 1, \"cancelled\": 0}}",
"tool_call_id": "call_kycfs7FsrpuMiz1YQ1BP2y6Z"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_s39bAaFxNC0VZbCi89ibg4pC",
"call_id": "call_s39bAaFxNC0VZbCi89ibg4pC",
"response_item_id": "fc_049e6b492e9f3d48016a10d133fc1481918badc1282b0d77b1",
"type": "function",
"function": {
"name": "write_file",
"arguments": "{\"content\":\"# Retention Research Notes\\n\\n_Last checked: 2026-05-22_\\n\\n## Sources checked\\n\\n- TikTok Creator Academy / Creator Rewards material.\\n- TikTok Creator Rewards Program Terms.\\n- YouTube Help: YouTube Partner Program and performance/discovery FAQs.\\n\\n## Findings that affect AutoShortsBot\\n\\n### TikTok\\n\\n- Creator Rewards content must be original, high quality, and longer than 1 minute.\\n- Reward-eligible videos need at least 1,000 qualified views.\\n- Qualified views require at least 5 seconds of watch time; search views require longer watch time.\\n- TikTok explicitly pushes: creativity, meaningful conversation, niche expertise, unique perspective, 1080p+ quality.\\n- TikTok flags low-quality patterns: copied/minimally changed content, split screens, meaningless reactions, blurry visuals, pure slideshow videos, clickbait with no value.\\n- TikTok recommends analytics-driven iteration and repurposing longer videos into 1min+ clips.\\n\\n### YouTube\\n\\n- YouTube's recommendation system optimizes for viewer satisfaction over time, not just uploads or tags.\\n- Shorts can be vertical/square and up to 3 minutes.\\n- YPP Shorts route: 1,000 subscribers plus 10M valid public Shorts views in 90 days.\\n- For new channels, strong early retention and viewer satisfaction matter more than broad generic topics.\\n\\n## Practical retention hypotheses\\n\\nPeople are more likely to stop scrolling when a short has:\\n\\n1. **Immediate self-relevance** — “If your brain has 47 tabs open...”\\n2. **Open loop** — “do this before...”, “why...”, “stop...”, “not...”\\n3. **Specificity** — numbers, concrete situations, named platforms/tools.\\n4. **Tension/contrarian angle** — challenges a common belief without cheap outrage.\\n5. **Concrete payoff** — template, exact step, before/after, visible transformation.\\n6. **Visual pattern interrupt** — movement/change in first 1–2 seconds, not static AI art.\\n7. **Conversation trigger** — a specific question or comment keyword.\\n8. **Niche authority** — a recognisable point of view, not generic advice.\\n\\n## Operating rules\\n\\n- Pause FaithTok/religious topics for now; mixing religion and AI is sensitive and brand-risky.\\n- Test Life Optimization + AI Life Systems first.\\n- Replace generic “4 tips” scripts with myth-busting, before/after, exact workflow, and confession formats.\\n- For growth: prefer 25–45s.\\n- For TikTok monetization experiments: make selected 61–75s versions only after the hook is strong.\\n- Reject slow intros such as “In this video...” automatically.\\n- Reject static slideshow / abstract AI backgrounds unless a human-readable hook and motion are added.\\n\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/docs/retention_research.md\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"bytes_written\": 2623, \"dirs_created\": true, \"lint\": {\"status\": \"skipped\", \"message\": \"No linter for .md files\"}}",
"tool_call_id": "call_s39bAaFxNC0VZbCi89ibg4pC"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_PAn6BE49KrX4A4274sp9gGF0",
"call_id": "call_PAn6BE49KrX4A4274sp9gGF0",
"response_item_id": "fc_049e6b492e9f3d48016a10d146ab7881919b8044d7c00fdda0",
"type": "function",
"function": {
"name": "write_file",
"arguments": "{\"content\":\"{\\n \\\"status\\\": \\\"paused\\\",\\n \\\"reason\\\": \\\"Religious topics are intentionally paused because mixing Christian/FaithTok messaging with AI positioning is sensitive and could confuse the channel brand.\\\",\\n \\\"allowed_future_use\\\": \\\"Only revisit with explicit user approval and a separate brand/channel strategy.\\\"\\n}\\n\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/configs/niches/faithtok.json\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"bytes_written\": 303, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"tool_call_id": "call_PAn6BE49KrX4A4274sp9gGF0"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_6NFEqTtnYpZUp6efXS58scLr",
"call_id": "call_6NFEqTtnYpZUp6efXS58scLr",
"response_item_id": "fc_049e6b492e9f3d48016a10d14be5f081918dccf2e8eea982cd",
"type": "function",
"function": {
"name": "write_file",
"arguments": "{\"content\":\"{\\n \\\"pillar\\\": \\\"attention_design\\\",\\n \\\"positioning\\\": \\\"Practical digital attention design: stop being pulled by feeds, notifications, and defaults; rebuild attention with small systems.\\\",\\n \\\"tone\\\": [\\\"sharp\\\", \\\"specific\\\", \\\"useful\\\", \\\"anti-doomscrolling\\\", \\\"non-moralising\\\"],\\n \\\"hook_patterns\\\": [\\n \\\"Your phone is not addictive by accident.\\\",\\n \\\"If you check your phone before your feet touch the floor...\\\",\\n \\\"The algorithm does not need your life to be better. It needs you to stay.\\\"\\n ],\\n \\\"visual_rules\\\": [\\n \\\"phone in first frame\\\",\\n \\\"visible before/after change\\\",\\n \\\"timer, greyscale, home-screen cleanup\\\",\\n \\\"no static slideshow\\\"\\n ],\\n \\\"no_go\\\": [\\n \\\"platform-bashing without value\\\",\\n \\\"moral panic\\\",\\n \\\"generic digital detox advice without a concrete action\\\"\\n ]\\n}\\n\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/configs/niches/attention_design.json\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"bytes_written\": 785, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"tool_call_id": "call_6NFEqTtnYpZUp6efXS58scLr"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_bewIY8q7Yh3NgTcCEJbrJ07A",
"call_id": "call_bewIY8q7Yh3NgTcCEJbrJ07A",
"response_item_id": "fc_049e6b492e9f3d48016a10d1543a4c81919d84c2846a60104f",
"type": "function",
"function": {
"name": "write_file",
"arguments": "{\"content\":\"{\\n \\\"name\\\": \\\"testbatch_002_retention_probe_no_faith\\\",\\n \\\"objective\\\": \\\"Test high-retention Life Optimization, AI Life Systems, and Attention Design ideas while pausing religious/FaithTok themes.\\\",\\n \\\"approval_mode\\\": \\\"telegram_required_before_posting\\\",\\n \\\"research_basis\\\": \\\"docs/retention_research.md\\\",\\n \\\"ideas\\\": [\\n {\\n \\\"id\\\": \\\"life-004\\\",\\n \\\"pillar\\\": \\\"life_optimization\\\",\\n \\\"title\\\": \\\"You do not need more discipline\\\",\\n \\\"platform_target\\\": [\\\"youtube_shorts\\\", \\\"tiktok\\\", \\\"instagram_reels\\\"],\\n \\\"duration_seconds\\\": 38,\\n \\\"hook\\\": \\\"You do not need more discipline. You need a smaller first step.\\\",\\n \\\"script_outline\\\": \\\"Challenge the discipline myth, show the two-minute starter, give one concrete example, close the loop: action creates clarity, not the other way around.\\\",\\n \\\"visual_concept\\\": \\\"Pattern interrupt: messy desk becomes one tiny next action with timer and captions.\\\",\\n \\\"caption\\\": \\\"Stop worshipping discipline. Shrink the first step.\\\",\\n \\\"cta\\\": \\\"Comment START if you want the template.\\\",\\n \\\"quality_score\\\": 10,\\n \\\"risk_notes\\\": \\\"No health claims; practical productivity framing.\\\"\\n },\\n {\\n \\\"id\\\": \\\"life-005\\\",\\n \\\"pillar\\\": \\\"life_optimization\\\",\\n \\\"title\\\": \\\"Your to-do list is an anxiety museum\\\",\\n \\\"platform_target\\\": [\\\"youtube_shorts\\\", \\\"tiktok\\\", \\\"instagram_reels\\\"],\\n \\\"duration_seconds\\\": 42,\\n \\\"hook\\\": \\\"Your to-do list might not be a plan. It might be an anxiety museum.\\\",\\n \\\"script_outline\\\": \\\"Turn one overwhelming list into three buckets: do today, schedule later, delete. The payoff is one next action, not a prettier list.\\\",\\n \\\"visual_concept\\\": \\\"Before/after: chaotic paper list split into three labelled cards, fast cuts, large captions.\\\",\\n \\\"caption\\\": \\\"A list is not a plan until it chooses what you will ignore.\\\",\\n \\\"cta\\\": \\\"Which task belongs in delete?\\\",\\n \\\"quality_score\\\": 9,\\n \\\"risk_notes\\\": \\\"Avoid clinical anxiety language beyond metaphor.\\\"\\n },\\n {\\n \\\"id\\\": \\\"life-006\\\",\\n \\\"pillar\\\": \\\"life_optimization\\\",\\n \\\"title\\\": \\\"The calendar exposes the lie\\\",\\n \\\"platform_target\\\": [\\\"youtube_shorts\\\", \\\"tiktok\\\", \\\"instagram_reels\\\"],\\n \\\"duration_seconds\\\": 33,\\n \\\"hook\\\": \\\"Your values are not in your notes app. They are in your calendar.\\\",\\n \\\"script_outline\\\": \\\"Show the gap between stated priorities and scheduled time. Pick one value, block 20 minutes this week, and protect it like a meeting.\\\",\\n \\\"visual_concept\\\": \\\"Calendar screen recording, one red empty week, one protected green block; crisp captions.\\\",\\n \\\"caption\\\": \\\"If it matters, it eventually needs a time block.\\\",\\n \\\"cta\\\": \\\"What value needs a calendar block this week?\\\",\\n \\\"quality_score\\\": 9,\\n \\\"risk_notes\\\": \\\"No personal calendar data shown.\\\"\\n },\\n {\\n \\\"id\\\": \\\"ai-004\\\",\\n \\\"pillar\\\": \\\"ai_life_systems\\\",\\n \\\"title\\\": \\\"Stop asking AI to think for you\\\",\\n \\\"platform_target\\\": [\\\"youtube_shorts\\\", \\\"tiktok\\\", \\\"instagram_reels\\\"],\\n \\\"duration_seconds\\\": 41,\\n \\\"hook\\\": \\\"Stop asking AI to think for you. Ask it to argue with you.\\\",\\n \\\"script_outline\\\": \\\"Use AI as a challenger: list assumptions, find weak spots, suggest alternatives, then you decide. Better thinking, not outsourced thinking.\\\",\\n \\\"visual_concept\\\": \\\"Screen recording with prompt cards: assumptions, weak spots, alternatives, decision; human checkmark at end.\\\",\\n \\\"caption\\\": \\\"AI is more useful as a critic than as a guru.\\\",\\n \\\"cta\\\": \\\"Comment CRITIC if you want the prompt.\\\",\\n \\\"quality_score\\\": 10,\\n \\\"risk_notes\\\": \\\"Keep human decision authority explicit.\\\"\\n },\\n {\\n \\\"id\\\": \\\"ai-005\\\",\\n \\\"pillar\\\": \\\"ai_life_systems\\\",\\n \\\"title\\\": \\\"The 4-box prompt for mental overload\\\",\\n \\\"platform_target\\\": [\\\"youtube_shorts\\\", \\\"tiktok\\\", \\\"instagram_reels\\\"],\\n \\\"duration_seconds\\\": 61,\\n \\\"hook\\\": \\\"If your brain has 47 tabs open, paste the mess into this 4-box prompt.\\\",\\n \\\"script_outline\\\": \\\"Brain dump to AI, ask for four boxes: tasks, worries, decisions, later. Then ask for one next action under two minutes. Show exact prompt structure.\\\",\\n \\\"visual_concept\\\": \\\"Before/after screen recording: chaotic paragraph becomes four clean cards; timer starts at the end.\\\",\\n \\\"caption\\\": \\\"Do not ask AI for motivation. Ask it for structure.\\\",\\n \\\"cta\\\": \\\"Comment RESET and I will turn this into a template.\\\",\\n \\\"quality_score\\\": 10,\\n \\\"risk_notes\\\": \\\"Not therapy; frame as organisation aid.\\\"\\n },\\n {\\n \\\"id\\\": \\\"ai-006\\\",\\n \\\"pillar\\\": \\\"ai_life_systems\\\",\\n \\\"title\\\": \\\"A real AI assistant needs an approval gate\\\",\\n \\\"platform_target\\\": [\\\"youtube_shorts\\\", \\\"tiktok\\\", \\\"instagram_reels\\\"],\\n \\\"duration_seconds\\\": 75,\\n \\\"hook\\\": \\\"The most important part of an AI assistant is not the model. It is the approval gate.\\\",\\n \\\"script_outline\\\": \\\"Explain memory, tools, draft actions, and human approval before side effects. Show why powerful automation without confirmation becomes risk, not leverage.\\\",\\n \\\"visual_concept\\\": \\\"Animated system diagram: request, memory, tools, draft, approval gate, action; red stop line before posting/sending.\\\",\\n \\\"caption\\\": \\\"Automation without approval is not intelligence. It is liability.\\\",\\n \\\"cta\\\": \\\"Should I build this as a series?\\\",\\n \\\"quality_score\\\": 10,\\n \\\"risk_notes\\\": \\\"No secrets or real private data in visuals.\\\"\\n },\\n {\\n \\\"id\\\": \\\"attention-001\\\",\\n \\\"pillar\\\": \\\"attention_design\\\",\\n \\\"title\\\": \\\"Your phone wins before breakfast\\\",\\n \\\"platform_target\\\": [\\\"youtube_shorts\\\", \\\"tiktok\\\", \\\"instagram_reels\\\"],\\n \\\"duration_seconds\\\": 36,\\n \\\"hook\\\": \\\"If you touch your phone before your feet touch the floor, your day already has an owner.\\\",\\n \\\"script_outline\\\": \\\"Show morning phone reflex, then replace it with a 60-second no-input rule: stand up, water, light, one sentence plan.\\\",\\n \\\"visual_concept\\\": \\\"Close-up phone alarm, thumb reaches, freeze-frame, hard cut to water/light/notebook; bold captions.\\\",\\n \\\"caption\\\": \\\"Your first input shapes your first hour.\\\",\\n \\\"cta\\\": \\\"Try the no-input minute tomorrow.\\\",\\n \\\"quality_score\\\": 10,\\n \\\"risk_notes\\\": \\\"Avoid shame; frame as experiment.\\\"\\n },\\n {\\n \\\"id\\\": \\\"attention-002\\\",\\n \\\"pillar\\\": \\\"attention_design\\\",\\n \\\"title\\\": \\\"The algorithm does not need you happy\\\",\\n \\\"platform_target\\\": [\\\"youtube_shorts\\\", \\\"tiktok\\\", \\\"instagram_reels\\\"],\\n \\\"duration_seconds\\\": 67,\\n \\\"hook\\\": \\\"The algorithm does not need you happy. It needs you to stay.\\\",\\n \\\"script_outline\\\": \\\"Explain attention incentives without conspiracy. Then give three design moves: greyscale, remove default apps, set a leaving cue before opening feeds.\\\",\\n \\\"visual_concept\\\": \\\"Fast phone UI montage, greyscale switch, app removal, timer/leaving cue; not static slideshow.\\\",\\n \\\"caption\\\": \\\"Design beats willpower when the feed is engineered better than your intentions.\\\",\\n \\\"cta\\\": \\\"Which app gets moved off your home screen today?\\\",\\n \\\"quality_score\\\": 10,\\n \\\"risk_notes\\\": \\\"Do not imply specific hidden manipulation; speak generally about incentives.\\\"\\n },\\n {\\n \\\"id\\\": \\\"attention-003\\\",\\n \\\"pillar\\\": \\\"attention_design\\\",\\n \\\"title\\\": \\\"The 5-second rule for opening any app\\\",\\n \\\"platform_target\\\": [\\\"youtube_shorts\\\", \\\"tiktok\\\", \\\"instagram_reels\\\"],\\n \\\"duration_seconds\\\": 31,\\n \\\"hook\\\": \\\"Before you open any app, give it a job description.\\\",\\n \\\"script_outline\\\": \\\"Pause for five seconds, say why you are opening it, set exit condition, then open. If there is no job, do not hire the app.\\\",\\n \\\"visual_concept\\\": \\\"Hand hovers over app, text overlay 'What is the job?', five-second countdown, exit condition card.\\\",\\n \\\"caption\\\": \\\"Apps become tools again when they need a job description.\\\",\\n \\\"cta\\\": \\\"Comment the app that steals the most time.\\\",\\n \\\"quality_score\\\": 9,\\n \\\"risk_notes\\\": \\\"No platform attack; behaviour-design framing.\\\"\\n }\\n ]\\n}\\n\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/data/drafts/testbatch_002.json\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"bytes_written\": 7846, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"tool_call_id": "call_bewIY8q7Yh3NgTcCEJbrJ07A"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_QV2uj99D1WQERoQeLEcxcE37",
"call_id": "call_QV2uj99D1WQERoQeLEcxcE37",
"response_item_id": "fc_049e6b492e9f3d48016a10d17e7b9881918a5a8bb741062141",
"type": "function",
"function": {
"name": "write_file",
"arguments": "{\"content\":\"from pathlib import Path\\n\\nfrom autoshorts.growth_plan import load_testbatch, validate_testbatch\\nfrom autoshorts.retention import score_idea_retention\\n\\n\\ndef test_testbatch_002_pauses_faithtok_and_uses_three_non_religious_pillars():\\n batch = load_testbatch(Path(\\\"data/drafts/testbatch_002.json\\\"))\\n\\n summary = validate_testbatch(batch)\\n\\n assert summary[\\\"total_ideas\\\"] == 9\\n assert summary[\\\"pillars\\\"] == {\\n \\\"ai_life_systems\\\": 3,\\n \\\"attention_design\\\": 3,\\n \\\"life_optimization\\\": 3,\\n }\\n assert \\\"faithtok\\\" not in {idea[\\\"pillar\\\"] for idea in batch[\\\"ideas\\\"]}\\n\\n\\ndef test_testbatch_002_meets_retention_threshold():\\n batch = load_testbatch(Path(\\\"data/drafts/testbatch_002.json\\\"))\\n\\n scores = [score_idea_retention(idea)[\\\"score\\\"] for idea in batch[\\\"ideas\\\"]]\\n\\n assert min(scores) >= 8\\n assert sum(1 for idea in batch[\\\"ideas\\\"] if idea[\\\"duration_seconds\\\"] >= 60) == 3\\n\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_testbatch_002.py\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"bytes_written\": 899, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"tool_call_id": "call_QV2uj99D1WQERoQeLEcxcE37"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_m7eB3AuyI8fHIohLoJWqmmkb",
"call_id": "call_m7eB3AuyI8fHIohLoJWqmmkb",
"response_item_id": "fc_049e6b492e9f3d48016a10d18794688191bd05b5fdcaa62597",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"python3 -m pytest tests/test_testbatch_002.py -q\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"output\": \"F. [100%]\\n=================================== FAILURES ===================================\\n___ test_testbatch_002_pauses_faithtok_and_uses_three_non_religious_pillars ____\\n\\n def test_testbatch_002_pauses_faithtok_and_uses_three_non_religious_pillars():\\n batch = load_testbatch(Path(\\\"data/drafts/testbatch_002.json\\\"))\\n \\n summary = validate_testbatch(batch)\\n \\n assert summary[\\\"total_ideas\\\"] == 9\\n> assert summary[\\\"pillars\\\"] == {\\n \\\"ai_life_systems\\\": 3,\\n \\\"attention_design\\\": 3,\\n \\\"life_optimization\\\": 3,\\n }\\nE AssertionError: assert {'ai_life_sys...imization': 3} == {'ai_life_sys...imization': 3}\\nE \\nE Omitting 2 identical items, use -vv to show\\nE Left contains 1 more item:\\nE {'faithtok': 0}\\nE Right contains 1 more item:\\nE {'attention_design': 3}\\nE Use -v to get more diff\\n\\ntests/test_testbatch_002.py:13: AssertionError\\n=========================== short test summary info ============================\\nFAILED tests/test_testbatch_002.py::test_testbatch_002_pauses_faithtok_and_uses_three_non_religious_pillars\\n1 failed, 1 passed in 0.05s\", \"exit_code\": 1, \"error\": null}",
"tool_call_id": "call_m7eB3AuyI8fHIohLoJWqmmkb"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_dcmQ4Xd9BdcFL5tfHnrYjCmp",
"call_id": "call_dcmQ4Xd9BdcFL5tfHnrYjCmp",
"response_item_id": "fc_049e6b492e9f3d48016a10d18dcb808191b911f08654272b06",
"type": "function",
"function": {
"name": "patch",
"arguments": "{\"mode\":\"replace\",\"old_string\":\"EXPECTED_PILLARS = {\\\"life_optimization\\\", \\\"ai_life_systems\\\", \\\"faithtok\\\"}\\n\\n\\ndef load_testbatch(path: Path) -> dict[str, Any]:\",\"new_string\":\"\\n\\ndef load_testbatch(path: Path) -> dict[str, Any]:\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/growth_plan.py\"}"
}
}
],
"finish_reason": "tool_calls",
"reasoning": "**Adjusting growth plans**\n\nI need to update the growth plan to reflect expected dynamics. However, earlier tests were based on the exact old data. Should I adjust to a dynamic union? The existing tests seem to expect a fixed faith structure. I could modify the validate function to return the actual pillars sorted, possibly updating the old tests for testbatch_001. If the actual data aligns, that could work. Implementing dynamic adjustments sounds like the next step!",
"reasoning_content": "**Adjusting growth plans**\n\nI need to update the growth plan to reflect expected dynamics. However, earlier tests were based on the exact old data. Should I adjust to a dynamic union? The existing tests seem to expect a fixed faith structure. I could modify the validate function to return the actual pillars sorted, possibly updating the old tests for testbatch_001. If the actual data aligns, that could work. Implementing dynamic adjustments sounds like the next step!",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqENGOyHVkE-RugkNY0u-CGzB2X_pGzUAAuWiGh78ogED9p18chUK4g7whHt3f9xZWLmv28n4L5SxrMKJ_muumXNPZ0fE0e7FPWY6vamDil0DviG3bWywaJurlUbs17eh40iIDq1R4zoIKjg02Mr9OV-zLQ5PckuGrZgXJnz4ojdU_s-f37NYPmtGkTAICNlybBTm7neMcDSnP_BQxd2DtKbdAc-qfpqAo1vCNhaXZjsfHzJpnOIKx3LRQjj2_djjtrmduRkgNCZn2_9Me1RiNs1OUJ5ezamp9BZ_cYrpqa0c78u-hi3bL9Jbsw7a5IAcx5HFzZ0o_xOZwrnzTCXkyxiOFc3GWn-LHQ797iBe9pXUbp2ZgF9wHU162Owkz7ee7eVxdOAw1xIoM_pMT2zOnwXtWaa397O55z9xaF6RIRwLW4LcsnhWVyb6r2-InxLh7diYZdgPx5dS76WRNSV-zL6zlLe4oalofH87wLOYghCW1uBXJV7MWGh3A9v0-thkLJPA8QXOGse0V3gczUuU-9FM1PiQ1nRQk-Z5gRHLytSOorbx_RGN7_UG8FZfNXTmhonG3mQTUOIsTr3akmu64BdM-ZxVVXtg9mq-Bg5pA_L5g5De9RvDo705f7St72mUPIAC6ExvZMZry6X6uzHJQcSMoyHCwQkVoFR9BfcLlNaR6pPIt7Qgvk9mAQmnGGfSjMwLIt2LE3p-rKdFG-shbZ3UlWSz73lPT3QF2N8Kt2Go9NKgjIukH6c2_bv9NLEy0Pa03V1WYprByOQokS6vsX7u4G_ESs3QpccWFxCk4XC9Gv0qSE6Op2DIrOnbcBhRwBn22au4WabnDW_FAs9Va5Y2IfJAnFZV7zYyG-lXZmL9UEN59yeMnFdFedgssDnQONcz_o0ED6Cs3wuipK2uFQMbdjrY3737vaIrSXT9P1XRiJNfpl9GaJCtJipY2Ywohmr9gijPUSWoqXLGUEbI4wrL1iIdATe1Oi_6skVMEbKXBfeT9KtjiqsGccmly4t1atgn8js-tcQqk5_rnulplarV19xfpZf9nJaBw0ZthLqhz2xX67v9Pxug2GCk-yE-HXDfHlkiPb5xKwXRbWcGFTmQyhAF9b4_XgIG10n28iKy_g1jbR6DFKLZqaANdXJGdnqm0hd8gAD7JZMYYAcaYautb93Whet2kg2zVeFT6R9fKV_2nSrhNURPVIHtCWg8sOswYWmLZ2XdUyYmZa6fgVd4ZLYMvUAXN3p5uy_r92uWMRLtGUEeR5lMha8w6eLEUTeq2-D9XfD8VMjNGdBhhsbmu7jWu5MGtSgtC8WyioZ-G-fLZ-sKGSGn0v4a1oPWfPQbx",
"id": "rs_049e6b492e9f3d48016a10d18b6704819192b0b06abeba6124",
"summary": [
{
"type": "summary_text",
"text": "**Adjusting growth plans**\n\nI need to update the growth plan to reflect expected dynamics. However, earlier tests were based on the exact old data. Should I adjust to a dynamic union? The existing tests seem to expect a fixed faith structure. I could modify the validate function to return the actual pillars sorted, possibly updating the old tests for testbatch_001. If the actual data aligns, that could work. Implementing dynamic adjustments sounds like the next step!"
}
]
}
]
},
{
"role": "tool",
"content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/growth_plan.py\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/growth_plan.py\\n@@ -21,7 +21,6 @@\\n \\\"quality_score\\\",\\n }\\n \\n-EXPECTED_PILLARS = {\\\"life_optimization\\\", \\\"ai_life_systems\\\", \\\"faithtok\\\"}\\n \\n \\n def load_testbatch(path: Path) -> dict[str, Any]:\\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/growth_plan.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"lsp_diagnostics\": \"LSP diagnostics introduced by this edit:\\n\\nERROR [56:79] \\\"EXPECTED_PILLARS\\\" is not defined [reportUndefinedVariable] (Pyright)\\n\"}",
"tool_call_id": "call_dcmQ4Xd9BdcFL5tfHnrYjCmp"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_E3PngK0wlTMN5D2gTbaj2ejP",
"call_id": "call_E3PngK0wlTMN5D2gTbaj2ejP",
"response_item_id": "fc_049e6b492e9f3d48016a10d192d428819188d42ba792f42c6d",
"type": "function",
"function": {
"name": "patch",
"arguments": "{\"mode\":\"replace\",\"new_string\":\" \\\"pillars\\\": dict(sorted(pillar_counts.items())),\",\"old_string\":\" \\\"pillars\\\": {pillar: pillar_counts.get(pillar, 0) for pillar in sorted(EXPECTED_PILLARS)},\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/growth_plan.py\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/growth_plan.py\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/growth_plan.py\\n@@ -53,7 +53,7 @@\\n return {\\n \\\"name\\\": batch.get(\\\"name\\\"),\\n \\\"total_ideas\\\": len(ideas),\\n- \\\"pillars\\\": {pillar: pillar_counts.get(pillar, 0) for pillar in sorted(EXPECTED_PILLARS)},\\n+ \\\"pillars\\\": dict(sorted(pillar_counts.items())),\\n \\\"duration_buckets\\\": {\\n \\\"growth\\\": duration_counts.get(\\\"growth\\\", 0),\\n \\\"tiktok_rewards_candidate\\\": duration_counts.get(\\\"tiktok_rewards_candidate\\\", 0),\\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/growth_plan.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"tool_call_id": "call_E3PngK0wlTMN5D2gTbaj2ejP"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_GX3Pl0ExxBUQTcErlCTYCgBo",
"call_id": "call_GX3Pl0ExxBUQTcErlCTYCgBo",
"response_item_id": "fc_049e6b492e9f3d48016a10d199f7908191b94cdec4d18b055c",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"python3 -m pytest tests/test_testbatch_002.py tests/test_growth_plan.py -q\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"output\": \"..... [100%]\\n5 passed in 0.03s\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_GX3Pl0ExxBUQTcErlCTYCgBo"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_MfReTCZ196u6Cc4gkVKmwTNO",
"call_id": "call_MfReTCZ196u6Cc4gkVKmwTNO",
"response_item_id": "fc_049e6b492e9f3d48016a10d1a0cfac819187a62b0d16ad54d9",
"type": "function",
"function": {
"name": "todo",
"arguments": "{\"merge\":true,\"todos\":[{\"content\":\"FaithTok pausieren und Testbatch v2 ohne religiöse Themen modellieren\",\"id\":\"2\",\"status\":\"completed\"},{\"content\":\"Retention-Scoring/Validation implementieren und Review-Drafts neu generieren\",\"id\":\"3\",\"status\":\"in_progress\"}]}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"todos\": [{\"id\": \"1\", \"content\": \"Recherche-Erkenntnisse zu Retention/Monetarisierung in Projektregeln übersetzen\", \"status\": \"completed\"}, {\"id\": \"2\", \"content\": \"FaithTok pausieren und Testbatch v2 ohne religiöse Themen modellieren\", \"status\": \"completed\"}, {\"id\": \"3\", \"content\": \"Retention-Scoring/Validation implementieren und Review-Drafts neu generieren\", \"status\": \"in_progress\"}, {\"id\": \"4\", \"content\": \"Tests ausführen, committen und pushen\", \"status\": \"pending\"}], \"summary\": {\"total\": 4, \"pending\": 1, \"in_progress\": 1, \"completed\": 2, \"cancelled\": 0}}",
"tool_call_id": "call_MfReTCZ196u6Cc4gkVKmwTNO"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_4VTTLVPfbHcDRMZyyXxF0EOt",
"call_id": "call_4VTTLVPfbHcDRMZyyXxF0EOt",
"response_item_id": "fc_049e6b492e9f3d48016a10d1a52e7081918476615ab2caf63d",
"type": "function",
"function": {
"name": "patch",
"arguments": "{\"mode\":\"replace\",\"new_string\":\"from autoshorts.growth_plan import load_testbatch, validate_testbatch\\nfrom autoshorts.retention import score_idea_retention\\nfrom autoshorts.script_drafts import write_review_drafts\",\"old_string\":\"from autoshorts.growth_plan import load_testbatch, validate_testbatch\\nfrom autoshorts.script_drafts import write_review_drafts\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_review_drafts.py\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_review_drafts.py\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_review_drafts.py\\n@@ -11,6 +11,7 @@\\n sys.path.insert(0, str(PROJECT_ROOT))\\n \\n from autoshorts.growth_plan import load_testbatch, validate_testbatch\\n+from autoshorts.retention import score_idea_retention\\n from autoshorts.script_drafts import write_review_drafts\\n \\n \\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_review_drafts.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"tool_call_id": "call_4VTTLVPfbHcDRMZyyXxF0EOt"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_Jp3myCeaNjI6oQa8dPaFNBQZ",
"call_id": "call_Jp3myCeaNjI6oQa8dPaFNBQZ",
"response_item_id": "fc_049e6b492e9f3d48016a10d1acd55c8191b1e8a161a66087ec",
"type": "function",
"function": {
"name": "patch",
"arguments": "{\"mode\":\"replace\",\"new_string\":\" summary = validate_testbatch(batch)\\n retention_scores = {idea[\\\"id\\\"]: score_idea_retention(idea) for idea in batch.get(\\\"ideas\\\", [])}\\n paths = write_review_drafts(batch, Path(args.out))\\n\\n print(f\\\"Generated {len(paths)} review drafts in {args.out}\\\")\\n print(f\\\"Validation: {summary}\\\")\\n print(f\\\"Retention: {retention_scores}\\\")\",\"old_string\":\" summary = validate_testbatch(batch)\\n paths = write_review_drafts(batch, Path(args.out))\\n\\n print(f\\\"Generated {len(paths)} review drafts in {args.out}\\\")\\n print(f\\\"Validation: {summary}\\\")\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_review_drafts.py\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_review_drafts.py\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_review_drafts.py\\n@@ -27,10 +27,12 @@\\n \\n batch = load_testbatch(Path(args.batch))\\n summary = validate_testbatch(batch)\\n+ retention_scores = {idea[\\\"id\\\"]: score_idea_retention(idea) for idea in batch.get(\\\"ideas\\\", [])}\\n paths = write_review_drafts(batch, Path(args.out))\\n \\n print(f\\\"Generated {len(paths)} review drafts in {args.out}\\\")\\n print(f\\\"Validation: {summary}\\\")\\n+ print(f\\\"Retention: {retention_scores}\\\")\\n \\n \\n if __name__ == \\\"__main__\\\":\\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_review_drafts.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"tool_call_id": "call_Jp3myCeaNjI6oQa8dPaFNBQZ"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_vEOl23x4oqmfoAZwQU50qkCF",
"call_id": "call_vEOl23x4oqmfoAZwQU50qkCF",
"response_item_id": "fc_049e6b492e9f3d48016a10d1b229d881919354e5a7b67d4d88",
"type": "function",
"function": {
"name": "patch",
"arguments": "{\"mode\":\"replace\",\"new_string\":\"from autoshorts.retention import score_idea_retention\\n\\n\\ndef _slug(value: str) -> str:\",\"old_string\":\"from typing import Any\\n\\n\\ndef _slug(value: str) -> str:\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/script_drafts.py\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/script_drafts.py\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/script_drafts.py\\n@@ -4,7 +4,7 @@\\n \\n import re\\n from pathlib import Path\\n-from typing import Any\\n+from autoshorts.retention import score_idea_retention\\n \\n \\n def _slug(value: str) -> str:\\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/script_drafts.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"lsp_diagnostics\": \"LSP diagnostics introduced by this edit:\\n\\nERROR [35:40] \\\"Any\\\" is not defined [reportUndefinedVariable] (Pyright)\\nERROR [35:59] \\\"Any\\\" is not defined [reportUndefinedVariable] (Pyright)\\nERROR [76:33] \\\"Any\\\" is not defined [reportUndefinedVariable] (Pyright)\\nERROR [85:45] \\\"Any\\\" is not defined [reportUndefinedVariable] (Pyright)\\nERROR [124:42] \\\"Any\\\" is not defined [reportUndefinedVariable] (Pyright)\\n\"}",
"tool_call_id": "call_vEOl23x4oqmfoAZwQU50qkCF"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_cxvrAmOsxlAUAKM0sLlBUyso",
"call_id": "call_cxvrAmOsxlAUAKM0sLlBUyso",
"response_item_id": "fc_049e6b492e9f3d48016a10d1b954288191bae90b296f18cdd9",
"type": "function",
"function": {
"name": "patch",
"arguments": "{\"mode\":\"replace\",\"new_string\":\"import re\\nfrom pathlib import Path\\nfrom typing import Any\\n\\nfrom autoshorts.retention import score_idea_retention\",\"old_string\":\"import re\\nfrom pathlib import Path\\nfrom autoshorts.retention import score_idea_retention\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/script_drafts.py\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/script_drafts.py\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/script_drafts.py\\n@@ -4,6 +4,8 @@\\n \\n import re\\n from pathlib import Path\\n+from typing import Any\\n+\\n from autoshorts.retention import score_idea_retention\\n \\n \\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/script_drafts.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"tool_call_id": "call_cxvrAmOsxlAUAKM0sLlBUyso"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_riBKzVSLx5zusBOR2ImATnzT",
"call_id": "call_riBKzVSLx5zusBOR2ImATnzT",
"response_item_id": "fc_049e6b492e9f3d48016a10d1bf3330819186a007a916031374",
"type": "function",
"function": {
"name": "patch",
"arguments": "{\"mode\":\"replace\",\"new_string\":\" return {\\n \\\"id\\\": idea[\\\"id\\\"],\",\"old_string\":\" return {\\n \\\"id\\\": idea[\\\"id\\\"],\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/script_drafts.py\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"success\": false, \"error\": \"old_string and new_string are identical\"}",
"tool_call_id": "call_riBKzVSLx5zusBOR2ImATnzT"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_W6ykF9dDKqTbhFUYzgO0ovZo",
"call_id": "call_W6ykF9dDKqTbhFUYzgO0ovZo",
"response_item_id": "fc_049e6b492e9f3d48016a10d1c3b11c8191ada3e0f8de6c6f8f",
"type": "function",
"function": {
"name": "read_file",
"arguments": "{\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/script_drafts.py\",\"offset\":45,\"limit\":45}"
}
}
],
"finish_reason": "tool_calls",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqENHEUudsunDPqtTXQXeffBrpcK0Hkq5ertkBeIi_tGIPAOVTbs1-0bGKeCll15S6GRlR4dwfjuFnWtnNKYRkt9KNFAyq4fCKhOsl4Rs3kJr-mb5ztUaly8k1n1R_rysbOpvd63K9cLV1K1NcD9-H0XCgZwvd0rWziPybRIztyKXd8T3x8SMQ2NVDzKHbRnpxtDScG-Ej7rqV2LkLs9URKRNhPxFGif6bbEzIjOdMw0RH6XcbCO2peUIytnA0mDnopwKve2zt0_WViN9KgkzQ5IrrsOO2APvKgyP2p9YTpbLgNPkitLfCrrEHVhdECp-SqDBAmv6nDmdZfD5dRqnNi-_z8evlizTnWTuaXQHvg-v2JKgJpQJ9u125HrmCb-0yNLc9vxOk3W2aicoo8rlvRWJBT8-04UPLO9Vu7ZmKi1P9JlV5Y4_XqCKGt9QxNly3vNfaH6luVL2QTAMx5PtJp9tAyt1HDA28USCIo8ORV8FRozRi9Gv6Qh_CiSbBT4zdd505u_E3AA26EvnU5v1aN8DSxR9SXFK48mCCCEtk9auVQACUiZ30LY-OGoLwLpUrM1UZA-Qik2o23ZllI1BjpGLSS2B9gOoAE0MeXIG0IBbFNSQkSnfumnFEzaq1cSwRrqxcaEUoKbjrGfGAjZoo-8vPwel_6un0klrLdfCCloNkSDv9qfgWAZuIC29VsZ0Yyr6aGP8LlLlCKfcWpXH1KceBd4Lb6wJxp4ucfdSTzGBojdm5w-4VBHmylBi1mC_dNsZ6bvNTMSe5FrG5RBlj64xp1EMQ1Q1EJ2LFiOL0irhfAnREiHrjLjqRPUgi7UVwK_w8pankpm_qGyCEvVV_2Qxx1vfpvTj8JtLVE6lPh-zxvQQ4ybsSooGMk4j230_xW2ErDe-irGFxoFlzwbGjVeoDj4W1q6XBMLreXaBZQKtr_v4SOFm3B6pzd9rGqkbX2wxhui-kUbwWeJEglvMrXggV4Q==",
"id": "rs_049e6b492e9f3d48016a10d1c33e4c8191a12805b65575048b",
"summary": []
}
]
},
{
"role": "tool",
"content": "{\"content\": \" 45| sections = [\\n 46| {\\\"label\\\": \\\"Hook\\\", \\\"seconds\\\": allocations[0][1], \\\"text\\\": hook},\\n 47| {\\n 48| \\\"label\\\": \\\"Setup\\\",\\n 49| \\\"seconds\\\": allocations[1][1],\\n 50| \\\"text\\\": _setup_line(idea),\\n 51| },\\n 52| {\\n 53| \\\"label\\\": \\\"Core Value\\\",\\n 54| \\\"seconds\\\": allocations[2][1],\\n 55| \\\"text\\\": outline,\\n 56| },\\n 57| {\\\"label\\\": \\\"CTA\\\", \\\"seconds\\\": allocations[3][1], \\\"text\\\": cta},\\n 58| ]\\n 59|\\n 60| return {\\n 61| \\\"id\\\": idea[\\\"id\\\"],\\n 62| \\\"pillar\\\": idea[\\\"pillar\\\"],\\n 63| \\\"title\\\": idea[\\\"title\\\"],\\n 64| \\\"duration_seconds\\\": duration,\\n 65| \\\"platform_target\\\": idea[\\\"platform_target\\\"],\\n 66| \\\"platform_note\\\": \\\"TikTok Rewards Candidate\\\" if duration >= 60 else \\\"Growth Short\\\",\\n 67| \\\"hook\\\": hook,\\n 68| \\\"sections\\\": sections,\\n 69| \\\"visual_concept\\\": idea[\\\"visual_concept\\\"],\\n 70| \\\"caption\\\": idea[\\\"caption\\\"],\\n 71| \\\"cta\\\": cta,\\n 72| \\\"hashtags\\\": _hashtags_for_pillar(idea[\\\"pillar\\\"]),\\n 73| \\\"quality_score\\\": int(idea[\\\"quality_score\\\"]),\\n 74| \\\"risk_notes\\\": idea.get(\\\"risk_notes\\\", \\\"\\\"),\\n 75| }\\n 76|\\n 77|\\n 78|def _setup_line(idea: dict[str, Any]) -> str:\\n 79| pillar = idea[\\\"pillar\\\"]\\n 80| if pillar == \\\"faithtok\\\":\\n 81| return \\\"A quiet, honest moment for people who feel spiritually tired but still want to return to God.\\\"\\n 82| if pillar == \\\"ai_life_systems\\\":\\n 83| return \\\"The point is not hype. The point is a simple system where the human stays in charge.\\\"\\n 84| return \\\"This is not another motivation trick. It is a small environmental system you can test today.\\\"\\n 85|\\n 86|\\n 87|def format_telegram_review(draft: dict[str, Any]) -> str:\\n 88| \\\"\\\"\\\"Format a draft for Telegram approval review.\\\"\\\"\\\"\\n 89| platforms = \\\", \\\".join(draft[\\\"platform_target\\\"])\\n 90|\", \"total_lines\": 135, \"file_size\": 4594, \"truncated\": true, \"hint\": \"Use offset=90 to continue reading (showing 45-89 of 135 lines)\", \"is_binary\": false, \"is_image\": false}",
"tool_call_id": "call_W6ykF9dDKqTbhFUYzgO0ovZo"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_hTc0GQB5qxsQs3YpOA6vd7nU",
"call_id": "call_hTc0GQB5qxsQs3YpOA6vd7nU",
"response_item_id": "fc_049e6b492e9f3d48016a10d1c9fe208191821898d75706dec0",
"type": "function",
"function": {
"name": "patch",
"arguments": "{\"mode\":\"replace\",\"new_string\":\" retention = score_idea_retention(idea)\\n\\n return {\\n \\\"id\\\": idea[\\\"id\\\"],\",\"old_string\":\" return {\\n \\\"id\\\": idea[\\\"id\\\"],\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/script_drafts.py\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/script_drafts.py\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/script_drafts.py\\n@@ -56,6 +56,8 @@\\n },\\n {\\\"label\\\": \\\"CTA\\\", \\\"seconds\\\": allocations[3][1], \\\"text\\\": cta},\\n ]\\n+\\n+ retention = score_idea_retention(idea)\\n \\n return {\\n \\\"id\\\": idea[\\\"id\\\"],\\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/script_drafts.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"_warning\": \"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/script_drafts.py was last read with offset/limit pagination (partial view). Re-read the whole file before overwriting it.\"}",
"tool_call_id": "call_hTc0GQB5qxsQs3YpOA6vd7nU"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_Cjaq13ksMikhqYzBbOd1Qn30",
"call_id": "call_Cjaq13ksMikhqYzBbOd1Qn30",
"response_item_id": "fc_049e6b492e9f3d48016a10d1d01f0c8191a83e4046cbedda29",
"type": "function",
"function": {
"name": "patch",
"arguments": "{\"mode\":\"replace\",\"new_string\":\" \\\"quality_score\\\": int(idea[\\\"quality_score\\\"]),\\n \\\"retention_score\\\": retention[\\\"score\\\"],\\n \\\"retention_signals\\\": retention[\\\"signals\\\"],\\n \\\"retention_risks\\\": retention[\\\"risks\\\"],\\n \\\"risk_notes\\\": idea.get(\\\"risk_notes\\\", \\\"\\\"),\",\"old_string\":\" \\\"quality_score\\\": int(idea[\\\"quality_score\\\"]),\\n \\\"risk_notes\\\": idea.get(\\\"risk_notes\\\", \\\"\\\"),\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/script_drafts.py\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/script_drafts.py\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/script_drafts.py\\n@@ -73,6 +73,9 @@\\n \\\"cta\\\": cta,\\n \\\"hashtags\\\": _hashtags_for_pillar(idea[\\\"pillar\\\"]),\\n \\\"quality_score\\\": int(idea[\\\"quality_score\\\"]),\\n+ \\\"retention_score\\\": retention[\\\"score\\\"],\\n+ \\\"retention_signals\\\": retention[\\\"signals\\\"],\\n+ \\\"retention_risks\\\": retention[\\\"risks\\\"],\\n \\\"risk_notes\\\": idea.get(\\\"risk_notes\\\", \\\"\\\"),\\n }\\n \\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/script_drafts.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"tool_call_id": "call_Cjaq13ksMikhqYzBbOd1Qn30"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_doVLd9s2IgQnTtUZCNnXd47J",
"call_id": "call_doVLd9s2IgQnTtUZCNnXd47J",
"response_item_id": "fc_049e6b492e9f3d48016a10d1d7cba481919e7bd8813fe3e790",
"type": "function",
"function": {
"name": "patch",
"arguments": "{\"mode\":\"replace\",\"new_string\":\" if pillar == \\\"attention_design\\\":\\n return \\\"This is not a willpower lecture. It is attention design: change the default before the feed chooses for you.\\\"\\n return \\\"This is not another motivation trick. It is a small environmental system you can test today.\\\"\",\"old_string\":\" return \\\"This is not another motivation trick. It is a small environmental system you can test today.\\\"\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/script_drafts.py\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/script_drafts.py\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/script_drafts.py\\n@@ -86,6 +86,8 @@\\n return \\\"A quiet, honest moment for people who feel spiritually tired but still want to return to God.\\\"\\n if pillar == \\\"ai_life_systems\\\":\\n return \\\"The point is not hype. The point is a simple system where the human stays in charge.\\\"\\n+ if pillar == \\\"attention_design\\\":\\n+ return \\\"This is not a willpower lecture. It is attention design: change the default before the feed chooses for you.\\\"\\n return \\\"This is not another motivation trick. It is a small environmental system you can test today.\\\"\\n \\n \\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/script_drafts.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"tool_call_id": "call_doVLd9s2IgQnTtUZCNnXd47J"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_k6MM8DX7hd8coGcqOUnxjESh",
"call_id": "call_k6MM8DX7hd8coGcqOUnxjESh",
"response_item_id": "fc_049e6b492e9f3d48016a10d1e07c008191b6b6af7e8f6b5ca8",
"type": "function",
"function": {
"name": "patch",
"arguments": "{\"mode\":\"replace\",\"new_string\":\" return f\\\"\\\"\\\"## AutoShortsBot Review\\n\\n**ID:** `{draft['id']}`\\n**Pillar:** `{draft['pillar']}`\\n**Title:** {draft['title']}\\n**Duration:** {draft['duration_seconds']}s — {draft['platform_note']}\\n**Platforms:** {platforms}\\n**Quality Score:** {draft['quality_score']}/10\\n**Retention Score:** {draft['retention_score']}/10\\n**Retention Signals:** {', '.join(draft['retention_signals']) or 'none'}\\n**Retention Risks:** {', '.join(draft['retention_risks']) or 'none'}\",\"old_string\":\" return f\\\"\\\"\\\"## AutoShortsBot Review\\n\\n**ID:** `{draft['id']}`\\n**Pillar:** `{draft['pillar']}`\\n**Title:** {draft['title']}\\n**Duration:** {draft['duration_seconds']}s — {draft['platform_note']}\\n**Platforms:** {platforms}\\n**Quality Score:** {draft['quality_score']}/10\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/script_drafts.py\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/script_drafts.py\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/script_drafts.py\\n@@ -107,6 +107,9 @@\\n **Duration:** {draft['duration_seconds']}s — {draft['platform_note']}\\n **Platforms:** {platforms}\\n **Quality Score:** {draft['quality_score']}/10\\n+**Retention Score:** {draft['retention_score']}/10\\n+**Retention Signals:** {', '.join(draft['retention_signals']) or 'none'}\\n+**Retention Risks:** {', '.join(draft['retention_risks']) or 'none'}\\n \\n **Hook:** {draft['hook']}\\n \\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/script_drafts.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"tool_call_id": "call_k6MM8DX7hd8coGcqOUnxjESh"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_BHpqqoI1X9MSz7D6AraobhIn",
"call_id": "call_BHpqqoI1X9MSz7D6AraobhIn",
"response_item_id": "fc_049e6b492e9f3d48016a10d1ee28d08191ac0b736b67c8264d",
"type": "function",
"function": {
"name": "patch",
"arguments": "{\"mode\":\"replace\",\"new_string\":\" assert \\\"Retention Score\\\" in text\\n assert \\\"Quality Score\\\" in text\",\"old_string\":\" assert \\\"Quality Score\\\" in text\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_script_drafts.py\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/tests/test_script_drafts.py\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/tests/test_script_drafts.py\\n@@ -38,6 +38,7 @@\\n assert \\\"## AutoShortsBot Review\\\" in text\\n assert \\\"Freigabe alle\\\" in text\\n assert draft[\\\"hook\\\"] in text\\n+ assert \\\"Retention Score\\\" in text\\n assert \\\"Quality Score\\\" in text\\n \\n \\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_script_drafts.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"tool_call_id": "call_BHpqqoI1X9MSz7D6AraobhIn"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_HGu3BMFXnQN6Djem7CkV0JEV",
"call_id": "call_HGu3BMFXnQN6Djem7CkV0JEV",
"response_item_id": "fc_049e6b492e9f3d48016a10d1f402c08191a9a801c85eb3cd53",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"python3 -m pytest -q\\npython3 scripts/generate_review_drafts.py --batch data/drafts/testbatch_002.json --out data/reviews/testbatch_002\\npython3 - <<'PY'\\nfrom pathlib import Path\\nfiles=sorted(Path('data/reviews/testbatch_002').glob('*.md'))\\nprint('review_files', len(files))\\nprint(files[0].read_text(encoding='utf-8')[:1300])\\nPY\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"output\": \"............ [100%]\\n12 passed in 0.06s\\nGenerated 9 review drafts in data/reviews/testbatch_002\\nValidation: {'name': 'testbatch_002_retention_probe_no_faith', 'total_ideas': 9, 'pillars': {'ai_life_systems': 3, 'attention_design': 3, 'life_optimization': 3}, 'duration_buckets': {'growth': 6, 'tiktok_rewards_candidate': 3}, 'missing_fields': [], 'minimum_quality_score': 9}\\nRetention: {'life-004': {'score': 10, 'signals': ['comment_trigger', 'concrete_payoff', 'direct_address', 'growth_duration', 'open_loop', 'short_hook', 'specificity', 'tension', 'visual_energy'], 'risks': []}, 'life-005': {'score': 10, 'signals': ['concrete_payoff', 'direct_address', 'growth_duration', 'open_loop', 'short_hook', 'tension', 'visual_energy'], 'risks': []}, 'life-006': {'score': 10, 'signals': ['concrete_payoff', 'direct_address', 'growth_duration', 'open_loop', 'short_hook', 'tension', 'visual_energy'], 'risks': []}, 'ai-004': {'score': 10, 'signals': ['comment_trigger', 'concrete_payoff', 'direct_address', 'growth_duration', 'short_hook', 'specificity', 'tension', 'visual_energy'], 'risks': []}, 'ai-005': {'score': 10, 'signals': ['comment_trigger', 'concrete_payoff', 'direct_address', 'monetization_duration', 'short_hook', 'specificity', 'visual_energy'], 'risks': []}, 'ai-006': {'score': 9, 'signals': ['concrete_payoff', 'monetization_duration', 'open_loop', 'specificity', 'tension'], 'risks': []}, 'attention-001': {'score': 8, 'signals': ['direct_address', 'growth_duration', 'open_loop', 'visual_energy'], 'risks': []}, 'attention-002': {'score': 10, 'signals': ['concrete_payoff', 'direct_address', 'monetization_duration', 'open_loop', 'short_hook', 'tension', 'visual_energy'], 'risks': []}, 'attention-003': {'score': 9, 'signals': ['comment_trigger', 'direct_address', 'growth_duration', 'open_loop', 'short_hook'], 'risks': []}}\\nreview_files 9\\n## AutoShortsBot Review\\n\\n**ID:** `ai-004`\\n**Pillar:** `ai_life_systems`\\n**Title:** Stop asking AI to think for you\\n**Duration:** 41s — Growth Short\\n**Platforms:** youtube_shorts, tiktok, instagram_reels\\n**Quality Score:** 10/10\\n**Retention Score:** 10/10\\n**Retention Signals:** comment_trigger, concrete_payoff, direct_address, growth_duration, short_hook, specificity, tension, visual_energy\\n**Retention Risks:** none\\n\\n**Hook:** Stop asking AI to think for you. Ask it to argue with you.\\n\\n**Script Draft:**\\n- **Hook** (3s): Stop asking AI to think for you. Ask it to argue with you.\\n- **Setup** (9s): The point is not hype. The point is a simple system where the human stays in charge.\\n- **Core Value** (26s): Use AI as a challenger: list assumptions, find weak spots, suggest alternatives, then you decide. Better thinking, not outsourced thinking.\\n- **CTA** (3s): Comment CRITIC if you want the prompt.\\n\\n**Visual Concept:** Screen recording with prompt cards: assumptions, weak spots, alternatives, decision; human checkmark at end.\\n\\n**Caption:** AI is more useful as a critic than as a guru.\\n**Hashtags:** #ai #productivity #prompts #lifesystems\\n\\n**Policy/Risk Notes:** Keep human decision authority explicit.\\n\\n**Approval commands:**\\n- `Freigabe alle`\\n- `Freigabe YouTube`\\n- `Freigabe TikTok`\\n- `\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_HGu3BMFXnQN6Djem7CkV0JEV"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_8uN8SuFN4GoAiNECVaLOCgDq",
"call_id": "call_8uN8SuFN4GoAiNECVaLOCgDq",
"response_item_id": "fc_049e6b492e9f3d48016a10d1f9c0508191b943d30395e55fe7",
"type": "function",
"function": {
"name": "todo",
"arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Retention-Scoring/Validation implementieren und Review-Drafts neu generieren\",\"id\":\"3\",\"status\":\"completed\"},{\"content\":\"Tests ausführen, committen und pushen\",\"id\":\"4\",\"status\":\"in_progress\"}]}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"todos\": [{\"id\": \"1\", \"content\": \"Recherche-Erkenntnisse zu Retention/Monetarisierung in Projektregeln übersetzen\", \"status\": \"completed\"}, {\"id\": \"2\", \"content\": \"FaithTok pausieren und Testbatch v2 ohne religiöse Themen modellieren\", \"status\": \"completed\"}, {\"id\": \"3\", \"content\": \"Retention-Scoring/Validation implementieren und Review-Drafts neu generieren\", \"status\": \"completed\"}, {\"id\": \"4\", \"content\": \"Tests ausführen, committen und pushen\", \"status\": \"in_progress\"}], \"summary\": {\"total\": 4, \"pending\": 0, \"in_progress\": 1, \"completed\": 3, \"cancelled\": 0}}",
"tool_call_id": "call_8uN8SuFN4GoAiNECVaLOCgDq"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_34qIbiRc0yVJEh52Tot7OzB9",
"call_id": "call_34qIbiRc0yVJEh52Tot7OzB9",
"response_item_id": "fc_049e6b492e9f3d48016a10d1fd66bc8191a263a98fb1bba287",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"git status --short\\ngit diff --stat\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"output\": \"M autoshorts/__init__.py\\n M autoshorts/growth_plan.py\\n M autoshorts/script_drafts.py\\n M configs/niches/faithtok.json\\n M scripts/generate_review_drafts.py\\n M tests/test_script_drafts.py\\n?? autoshorts/retention.py\\n?? configs/niches/attention_design.json\\n?? data/drafts/testbatch_002.json\\n?? data/reviews/testbatch_002/\\n?? docs/retention_research.md\\n?? tests/test_retention.py\\n?? tests/test_testbatch_002.py\\n autoshorts/__init__.py | 2 +-\\n autoshorts/growth_plan.py | 3 +--\\n autoshorts/script_drafts.py | 12 ++++++++++++\\n configs/niches/faithtok.json | 27 +++------------------------\\n scripts/generate_review_drafts.py | 3 +++\\n tests/test_script_drafts.py | 1 +\\n 6 files changed, 21 insertions(+), 27 deletions(-)\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_34qIbiRc0yVJEh52Tot7OzB9"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_QLFDGEuWk5Xw0DuSCQo9Fc7U",
"call_id": "call_QLFDGEuWk5Xw0DuSCQo9Fc7U",
"response_item_id": "fc_049e6b492e9f3d48016a10d200fbcc8191b3e63b392295eb5a",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"set -euo pipefail\\npython3 -m pytest -q\\ngit add autoshorts configs data docs scripts tests\\ngit commit -m \\\"feat: add retention-led no-faith testbatch\\\"\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"output\": \"............ [100%]\\n12 passed in 0.04s\\n[feat/initial-growth-engine 5799d16] feat: add retention-led no-faith testbatch\\n 21 files changed, 728 insertions(+), 27 deletions(-)\\n create mode 100644 autoshorts/retention.py\\n create mode 100644 configs/niches/attention_design.json\\n create mode 100644 data/drafts/testbatch_002.json\\n create mode 100644 data/reviews/testbatch_002/ai-004-stop-asking-ai-to-think-for-you.md\\n create mode 100644 data/reviews/testbatch_002/ai-005-the-4-box-prompt-for-mental-overload.md\\n create mode 100644 data/reviews/testbatch_002/ai-006-a-real-ai-assistant-needs-an-approval-gate.md\\n create mode 100644 data/reviews/testbatch_002/attention-001-your-phone-wins-before-breakfast.md\\n create mode 100644 data/reviews/testbatch_002/attention-002-the-algorithm-does-not-need-you-happy.md\\n create mode 100644 data/reviews/testbatch_002/attention-003-the-5-second-rule-for-opening-any-app.md\\n create mode 100644 data/reviews/testbatch_002/life-004-you-do-not-need-more-discipline.md\\n create mode 100644 data/reviews/testbatch_002/life-005-your-to-do-list-is-an-anxiety-museum.md\\n create mode 100644 data/reviews/testbatch_002/life-006-the-calendar-exposes-the-lie.md\\n create mode 100644 docs/retention_research.md\\n create mode 100644 tests/test_retention.py\\n create mode 100644 tests/test_testbatch_002.py\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_QLFDGEuWk5Xw0DuSCQo9Fc7U"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_d9IogglDnQXyfTzLrG9J30Ph",
"call_id": "call_d9IogglDnQXyfTzLrG9J30Ph",
"response_item_id": "fc_049e6b492e9f3d48016a10d207a4608191b57e6afea0d90174",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/jarvis_runtime/AutoShortsBot\\nexport GITHUB_TOKEN=$(tr -d '\\\\n\\\\r' < /home/agent/.hermes/secrets/github_autoshortsbot_token)\\nASKPASS=$(mktemp)\\ncat > \\\"$ASKPASS\\\" <<'SH'\\n#!/bin/sh\\ncase \\\"$1\\\" in\\n *Username*) printf '%s\\\\n' x-access-token ;;\\n *Password*) printf '%s\\\\n' \\\"$GITHUB_TOKEN\\\" ;;\\n *) printf '\\\\n' ;;\\nesac\\nSH\\nchmod 700 \\\"$ASKPASS\\\"\\ntrap 'rm -f \\\"$ASKPASS\\\"' EXIT\\nGIT_ASKPASS=\\\"$ASKPASS\\\" GIT_TERMINAL_PROMPT=0 git push >/tmp/autoshorts_push3.log 2>&1 || { sed -E 's/(github_pat_|ghp_)[A-Za-z0-9_]+/[REDACTED]/g' /tmp/autoshorts_push3.log; exit 1; }\\nBRANCH=$(git branch --show-current)\\nLOCAL=$(git rev-parse HEAD)\\nREMOTE=$(GIT_ASKPASS=\\\"$ASKPASS\\\" GIT_TERMINAL_PROMPT=0 git ls-remote origin \\\"refs/heads/$BRANCH\\\" | awk '{print $1}')\\nprintf 'branch=%s\\\\nlocal=%s\\\\nremote=%s\\\\n' \\\"$BRANCH\\\" \\\"$LOCAL\\\" \\\"$REMOTE\\\"\\ntest \\\"$LOCAL\\\" = \\\"$REMOTE\\\"\\ncat /tmp/autoshorts_push3.log | sed -E 's/(github_pat_|ghp_)[A-Za-z0-9_]+/[REDACTED]/g'\",\"timeout\":120}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"output\": \"branch=feat/initial-growth-engine\\nlocal=5799d16982686932f1e2c78b0524f4c8cad1c1e5\\nremote=5799d16982686932f1e2c78b0524f4c8cad1c1e5\\nTo https://github.com/Gamexgit/AutoShortsBot.git\\n 2100bfd..5799d16 feat/initial-growth-engine -> feat/initial-growth-engine\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_d9IogglDnQXyfTzLrG9J30Ph"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_krSUIzLnVWJvdHz4h8D9XxUF",
"call_id": "call_krSUIzLnVWJvdHz4h8D9XxUF",
"response_item_id": "fc_049e6b492e9f3d48016a10d2120eec8191a3de0abf3d72ee1b",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"git status --short --branch && python3 -m pytest -q\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"output\": \"## feat/initial-growth-engine...origin/feat/initial-growth-engine\\n............ [100%]\\n12 passed in 0.05s\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_krSUIzLnVWJvdHz4h8D9XxUF"
},
{
"role": "assistant",
"content": "",
"tool_calls": [
{
"id": "call_vh4oVxICrxWjVuyMUanEnCOE",
"call_id": "call_vh4oVxICrxWjVuyMUanEnCOE",
"response_item_id": "fc_049e6b492e9f3d48016a10d216cbe48191acd52b57608b5fdd",
"type": "function",
"function": {
"name": "todo",
"arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Tests ausführen, committen und pushen\",\"id\":\"4\",\"status\":\"completed\"}]}"
}
}
],
"finish_reason": "tool_calls"
},
{
"role": "tool",
"content": "{\"todos\": [{\"id\": \"1\", \"content\": \"Recherche-Erkenntnisse zu Retention/Monetarisierung in Projektregeln übersetzen\", \"status\": \"completed\"}, {\"id\": \"2\", \"content\": \"FaithTok pausieren und Testbatch v2 ohne religiöse Themen modellieren\", \"status\": \"completed\"}, {\"id\": \"3\", \"content\": \"Retention-Scoring/Validation implementieren und Review-Drafts neu generieren\", \"status\": \"completed\"}, {\"id\": \"4\", \"content\": \"Tests ausführen, committen und pushen\", \"status\": \"completed\"}], \"summary\": {\"total\": 4, \"pending\": 0, \"in_progress\": 0, \"completed\": 4, \"cancelled\": 0}}",
"tool_call_id": "call_vh4oVxICrxWjVuyMUanEnCOE"
},
{
"role": "assistant",
"content": "Erledigt, Sir.\n\nIch habe die religiösen Themen **vorerst sauber pausiert** und den nächsten Entwicklungsschritt umgesetzt: weg von „Themen sammeln“, hin zu **Retention-led Content Engineering**.\n\n## Recherche-Kernaussagen\n\nIch habe offizielle/nahe Quellen geprüft, u.a.:\n\n- TikTok Creator Academy / Creator Rewards\n- TikTok Creator Rewards Terms\n- YouTube Help / YPP / Performance & Discovery FAQs\n\n## Was Menschen eher hängen lässt\n\nDie wichtigen Muster für Shorts sind ziemlich klar:\n\n- **Immediate self-relevance** \n Der Zuschauer muss in Sekunde 0–2 denken: „Das bin ich.“\n\n- **Open loop** \n Nicht: „Hier sind Tipps.“ \n Sondern: „Wenn X passiert, mach Y bevor Z.“\n\n- **Specificity** \n Zahlen, konkrete Situationen, bekannte Tools/Plattformen. \n Beispiel: „47 Tabs im Kopf“ schlägt „mental overload“.\n\n- **Tension / Contrarian Angle** \n „Du brauchst nicht mehr Disziplin. Du brauchst einen kleineren ersten Schritt.“\n\n- **Concrete payoff** \n Template, Prompt, 2-Minuten-System, Vorher/Nachher.\n\n- **Visual pattern interrupt** \n Kein statisches KI-Bild. Bewegung, Freeze-frame, Before/After, Screen Recording, Timer, große Captions.\n\n- **Conversation trigger** \n Nicht nur „Follow for more“, sondern konkrete Frage oder Kommentar-Keyword.\n\n- **Niche authority** \n Nicht generische Lebensberatung. Eine wiedererkennbare Haltung.\n\nTikTok sagt zudem explizit: Für Creator Rewards braucht es hochwertige, originale, kreative Inhalte über 1 Minute, Nischenexpertise, sinnvolle Gespräche, 1080p+ und keine reinen Slideshows/copy-paste/low-quality reactions.\n\nKurz: Die Plattformen mögen keinen KI-Slideshow-Salat. Skandalös, aber nachvollziehbar.\n\n---\n\n## Projektänderungen im Repo\n\nGepusht auf:\n\n```text\nfeat/initial-growth-engine\n```\n\nNeuer Commit:\n\n```text\n5799d16 feat: add retention-led no-faith testbatch\n```\n\nRemote-Verifikation erfolgreich:\n\n```text\nlocal == remote\n```\n\nTests:\n\n```text\n12 passed in 0.05s\n```\n\nPR-Link bleibt:\n\nhttps://github.com/Gamexgit/AutoShortsBot/pull/new/feat/initial-growth-engine\n\n---\n\n## Was neu ist\n\n### 1. FaithTok pausiert\n\nDatei geändert:\n\n```text\nconfigs/niches/faithtok.json\n```\n\nStatus jetzt:\n\n```json\n{\n \"status\": \"paused\",\n \"reason\": \"Religious topics are intentionally paused because mixing Christian/FaithTok messaging with AI positioning is sensitive and could confuse the channel brand.\"\n}\n```\n\nAuch in der JARVIS-Projektmemory aktualisiert.\n\n---\n\n### 2. Neue Säule: Attention Design\n\nNeue Datei:\n\n```text\nconfigs/niches/attention_design.json\n```\n\nPositionierung:\n\n> Praktisches digitales Attention Design: nicht moralisch predigen, sondern Defaults, Apps, Feeds und Benachrichtigungen durch kleine Systeme entschärfen.\n\nDas passt sehr gut zu Life Optimization und AI Life Systems, ohne religiös heikel zu werden.\n\n---\n\n### 3. Retention Research dokumentiert\n\nNeue Datei:\n\n```text\ndocs/retention_research.md\n```\n\nEnthält:\n\n- Quellen\n- TikTok/YouTube-Anforderungen\n- Retention-Hypothesen\n- operative Regeln für AutoShortsBot\n\n---\n\n### 4. Retention Scoring Engine\n\nNeue Datei:\n\n```text\nautoshorts/retention.py\n```\n\nDer Bot bewertet jetzt Ideen heuristisch nach:\n\n- direct address\n- open loop\n- specificity\n- tension\n- short hook\n- growth duration\n- monetization duration\n- visual energy\n- concrete payoff\n- comment trigger\n\nUnd erkennt Risiken wie:\n\n- slow intro\n- generic value\n- static visuals\n- too long for unproven format\n\nBeispiel: „In this video I will talk about productivity tips“ wird abgestraft. Sehr verdient.\n\n---\n\n### 5. Testbatch v2 ohne Religion\n\nNeue Datei:\n\n```text\ndata/drafts/testbatch_002.json\n```\n\nEnthält 9 neue Ideen:\n\n- 3 × Life Optimization\n- 3 × AI Life Systems\n- 3 × Attention Design\n\nDavon:\n\n- 6 Growth Shorts\n- 3 TikTok-Rewards-Kandidaten mit 60+ Sekunden\n\n---\n\n## Neuer Testbatch v2\n\n### Life Optimization\n\n1. **You do not need more discipline**\n - Hook: “You do not need more discipline. You need a smaller first step.”\n - Dauer: 38s\n - Retention Score: 10/10\n\n2. **Your to-do list is an anxiety museum**\n - Hook: “Your to-do list might not be a plan. It might be an anxiety museum.”\n - Dauer: 42s\n - Retention Score: 10/10\n\n3. **The calendar exposes the lie**\n - Hook: “Your values are not in your notes app. They are in your calendar.”\n - Dauer: 33s\n - Retention Score: 10/10\n\n---\n\n### AI Life Systems\n\n4. **Stop asking AI to think for you**\n - Hook: “Stop asking AI to think for you. Ask it to argue with you.”\n - Dauer: 41s\n - Retention Score: 10/10\n\n5. **The 4-box prompt for mental overload**\n - Hook: “If your brain has 47 tabs open, paste the mess into this 4-box prompt.”\n - Dauer: 61s\n - TikTok-Rewards-Kandidat\n - Retention Score: 10/10\n\n6. **A real AI assistant needs an approval gate**\n - Hook: “The most important part of an AI assistant is not the model. It is the approval gate.”\n - Dauer: 75s\n - TikTok-Rewards-Kandidat\n - Retention Score: 9/10\n\n---\n\n### Attention Design\n\n7. **Your phone wins before breakfast**\n - Hook: “If you touch your phone before your feet touch the floor, your day already has an owner.”\n - Dauer: 36s\n - Retention Score: 8/10\n\n8. **The algorithm does not need you happy**\n - Hook: “The algorithm does not need you happy. It needs you to stay.”\n - Dauer: 67s\n - TikTok-Rewards-Kandidat\n - Retention Score: 10/10\n\n9. **The 5-second rule for opening any app**\n - Hook: “Before you open any app, give it a job description.”\n - Dauer: 31s\n - Retention Score: 9/10\n\n---\n\n## Review-Drafts generiert\n\nNeue Review-Dateien:\n\n```text\ndata/reviews/testbatch_002/\n```\n\nJede Idee hat jetzt einen Telegram-tauglichen Review-Draft mit:\n\n- Title\n- Duration\n- Platform targets\n- Quality Score\n- Retention Score\n- Retention Signals\n- Retention Risks\n- Hook\n- Script Draft\n- Visual Concept\n- Caption\n- Hashtags\n- Approval Commands\n\nBeispiel:\n\n```text\nID: ai-004\nTitle: Stop asking AI to think for you\nDuration: 41s — Growth Short\nQuality Score: 10/10\nRetention Score: 10/10\n\nHook:\nStop asking AI to think for you. Ask it to argue with you.\n\nScript Draft:\n- Hook (3s): Stop asking AI to think for you. Ask it to argue with you.\n- Setup (9s): The point is not hype. The point is a simple system where the human stays in charge.\n- Core Value (26s): Use AI as a challenger: list assumptions, find weak spots, suggest alternatives, then you decide. Better thinking, not outsourced thinking.\n- CTA (3s): Comment CRITIC if you want the prompt.\n```\n\n---\n\n## Meine Empfehlung für den nächsten Schritt\n\nJetzt sollten wir **nicht sofort rendern**.\n\nDer nächste saubere Schritt ist:\n\n## Voiceover-Finalizer v1\n\nAus den strukturellen Drafts sollen echte, natürlich gesprochene Skripte werden:\n\n- eine klare Sprache pro Clip\n- vermutlich zunächst **Englisch**, weil die Hooks global stärker wirken und KI/Productivity dort besser skaliert\n- 120–160 Wörter für 60–75s\n- 70–100 Wörter für 30–45s\n- keine generischen Übergänge\n- Hook in den ersten 1–2 Sekunden\n- Captions so schreiben, dass sie visuell funktionieren\n\nDanach nehmen wir die besten **3 Videos** aus Batch v2:\n\nMeine Empfehlung:\n\n1. `ai-004` — **Stop asking AI to think for you**\n2. `ai-005` — **The 4-box prompt for mental overload**\n3. `attention-002` — **The algorithm does not need you happy**\n\nWarum diese drei?\n\n- starke Hooks\n- klare Zielgruppe\n- hoher Kommentar-/Template-Trigger\n- direkter Bezug zu KI + Life Systems\n- keine religiöse Brand-Komplexität\n- gute Mischung aus Growth und 1min+ Monetization Candidate\n\nWenn du willst, mache ich als nächsten Schritt direkt den **Voiceover-Finalizer v1** und generiere die finalen Scripts für diese 3 Kandidaten.",
"codex_message_items": [
{
"type": "message",
"role": "assistant",
"status": "completed",
"content": [
{
"type": "output_text",
"text": "Erledigt, Sir.\n\nIch habe die religiösen Themen **vorerst sauber pausiert** und den nächsten Entwicklungsschritt umgesetzt: weg von „Themen sammeln“, hin zu **Retention-led Content Engineering**.\n\n## Recherche-Kernaussagen\n\nIch habe offizielle/nahe Quellen geprüft, u.a.:\n\n- TikTok Creator Academy / Creator Rewards\n- TikTok Creator Rewards Terms\n- YouTube Help / YPP / Performance & Discovery FAQs\n\n## Was Menschen eher hängen lässt\n\nDie wichtigen Muster für Shorts sind ziemlich klar:\n\n- **Immediate self-relevance** \n Der Zuschauer muss in Sekunde 0–2 denken: „Das bin ich.“\n\n- **Open loop** \n Nicht: „Hier sind Tipps.“ \n Sondern: „Wenn X passiert, mach Y bevor Z.“\n\n- **Specificity** \n Zahlen, konkrete Situationen, bekannte Tools/Plattformen. \n Beispiel: „47 Tabs im Kopf“ schlägt „mental overload“.\n\n- **Tension / Contrarian Angle** \n „Du brauchst nicht mehr Disziplin. Du brauchst einen kleineren ersten Schritt.“\n\n- **Concrete payoff** \n Template, Prompt, 2-Minuten-System, Vorher/Nachher.\n\n- **Visual pattern interrupt** \n Kein statisches KI-Bild. Bewegung, Freeze-frame, Before/After, Screen Recording, Timer, große Captions.\n\n- **Conversation trigger** \n Nicht nur „Follow for more“, sondern konkrete Frage oder Kommentar-Keyword.\n\n- **Niche authority** \n Nicht generische Lebensberatung. Eine wiedererkennbare Haltung.\n\nTikTok sagt zudem explizit: Für Creator Rewards braucht es hochwertige, originale, kreative Inhalte über 1 Minute, Nischenexpertise, sinnvolle Gespräche, 1080p+ und keine reinen Slideshows/copy-paste/low-quality reactions.\n\nKurz: Die Plattformen mögen keinen KI-Slideshow-Salat. Skandalös, aber nachvollziehbar.\n\n---\n\n## Projektänderungen im Repo\n\nGepusht auf:\n\n```text\nfeat/initial-growth-engine\n```\n\nNeuer Commit:\n\n```text\n5799d16 feat: add retention-led no-faith testbatch\n```\n\nRemote-Verifikation erfolgreich:\n\n```text\nlocal == remote\n```\n\nTests:\n\n```text\n12 passed in 0.05s\n```\n\nPR-Link bleibt:\n\nhttps://github.com/Gamexgit/AutoShortsBot/pull/new/feat/initial-growth-engine\n\n---\n\n## Was neu ist\n\n### 1. FaithTok pausiert\n\nDatei geändert:\n\n```text\nconfigs/niches/faithtok.json\n```\n\nStatus jetzt:\n\n```json\n{\n \"status\": \"paused\",\n \"reason\": \"Religious topics are intentionally paused because mixing Christian/FaithTok messaging with AI positioning is sensitive and could confuse the channel brand.\"\n}\n```\n\nAuch in der JARVIS-Projektmemory aktualisiert.\n\n---\n\n### 2. Neue Säule: Attention Design\n\nNeue Datei:\n\n```text\nconfigs/niches/attention_design.json\n```\n\nPositionierung:\n\n> Praktisches digitales Attention Design: nicht moralisch predigen, sondern Defaults, Apps, Feeds und Benachrichtigungen durch kleine Systeme entschärfen.\n\nDas passt sehr gut zu Life Optimization und AI Life Systems, ohne religiös heikel zu werden.\n\n---\n\n### 3. Retention Research dokumentiert\n\nNeue Datei:\n\n```text\ndocs/retention_research.md\n```\n\nEnthält:\n\n- Quellen\n- TikTok/YouTube-Anforderungen\n- Retention-Hypothesen\n- operative Regeln für AutoShortsBot\n\n---\n\n### 4. Retention Scoring Engine\n\nNeue Datei:\n\n```text\nautoshorts/retention.py\n```\n\nDer Bot bewertet jetzt Ideen heuristisch nach:\n\n- direct address\n- open loop\n- specificity\n- tension\n- short hook\n- growth duration\n- monetization duration\n- visual energy\n- concrete payoff\n- comment trigger\n\nUnd erkennt Risiken wie:\n\n- slow intro\n- generic value\n- static visuals\n- too long for unproven format\n\nBeispiel: „In this video I will talk about productivity tips“ wird abgestraft. Sehr verdient.\n\n---\n\n### 5. Testbatch v2 ohne Religion\n\nNeue Datei:\n\n```text\ndata/drafts/testbatch_002.json\n```\n\nEnthält 9 neue Ideen:\n\n- 3 × Life Optimization\n- 3 × AI Life Systems\n- 3 × Attention Design\n\nDavon:\n\n- 6 Growth Shorts\n- 3 TikTok-Rewards-Kandidaten mit 60+ Sekunden\n\n---\n\n## Neuer Testbatch v2\n\n### Life Optimization\n\n1. **You do not need more discipline**\n - Hook: “You do not need more discipline. You need a smaller first step.”\n - Dauer: 38s\n - Retention Score: 10/10\n\n2. **Your to-do list is an anxiety museum**\n - Hook: “Your to-do list might not be a plan. It might be an anxiety museum.”\n - Dauer: 42s\n - Retention Score: 10/10\n\n3. **The calendar exposes the lie**\n - Hook: “Your values are not in your notes app. They are in your calendar.”\n - Dauer: 33s\n - Retention Score: 10/10\n\n---\n\n### AI Life Systems\n\n4. **Stop asking AI to think for you**\n - Hook: “Stop asking AI to think for you. Ask it to argue with you.”\n - Dauer: 41s\n - Retention Score: 10/10\n\n5. **The 4-box prompt for mental overload**\n - Hook: “If your brain has 47 tabs open, paste the mess into this 4-box prompt.”\n - Dauer: 61s\n - TikTok-Rewards-Kandidat\n - Retention Score: 10/10\n\n6. **A real AI assistant needs an approval gate**\n - Hook: “The most important part of an AI assistant is not the model. It is the approval gate.”\n - Dauer: 75s\n - TikTok-Rewards-Kandidat\n - Retention Score: 9/10\n\n---\n\n### Attention Design\n\n7. **Your phone wins before breakfast**\n - Hook: “If you touch your phone before your feet touch the floor, your day already has an owner.”\n - Dauer: 36s\n - Retention Score: 8/10\n\n8. **The algorithm does not need you happy**\n - Hook: “The algorithm does not need you happy. It needs you to stay.”\n - Dauer: 67s\n - TikTok-Rewards-Kandidat\n - Retention Score: 10/10\n\n9. **The 5-second rule for opening any app**\n - Hook: “Before you open any app, give it a job description.”\n - Dauer: 31s\n - Retention Score: 9/10\n\n---\n\n## Review-Drafts generiert\n\nNeue Review-Dateien:\n\n```text\ndata/reviews/testbatch_002/\n```\n\nJede Idee hat jetzt einen Telegram-tauglichen Review-Draft mit:\n\n- Title\n- Duration\n- Platform targets\n- Quality Score\n- Retention Score\n- Retention Signals\n- Retention Risks\n- Hook\n- Script Draft\n- Visual Concept\n- Caption\n- Hashtags\n- Approval Commands\n\nBeispiel:\n\n```text\nID: ai-004\nTitle: Stop asking AI to think for you\nDuration: 41s — Growth Short\nQuality Score: 10/10\nRetention Score: 10/10\n\nHook:\nStop asking AI to think for you. Ask it to argue with you.\n\nScript Draft:\n- Hook (3s): Stop asking AI to think for you. Ask it to argue with you.\n- Setup (9s): The point is not hype. The point is a simple system where the human stays in charge.\n- Core Value (26s): Use AI as a challenger: list assumptions, find weak spots, suggest alternatives, then you decide. Better thinking, not outsourced thinking.\n- CTA (3s): Comment CRITIC if you want the prompt.\n```\n\n---\n\n## Meine Empfehlung für den nächsten Schritt\n\nJetzt sollten wir **nicht sofort rendern**.\n\nDer nächste saubere Schritt ist:\n\n## Voiceover-Finalizer v1\n\nAus den strukturellen Drafts sollen echte, natürlich gesprochene Skripte werden:\n\n- eine klare Sprache pro Clip\n- vermutlich zunächst **Englisch**, weil die Hooks global stärker wirken und KI/Productivity dort besser skaliert\n- 120–160 Wörter für 60–75s\n- 70–100 Wörter für 30–45s\n- keine generischen Übergänge\n- Hook in den ersten 1–2 Sekunden\n- Captions so schreiben, dass sie visuell funktionieren\n\nDanach nehmen wir die besten **3 Videos** aus Batch v2:\n\nMeine Empfehlung:\n\n1. `ai-004` — **Stop asking AI to think for you**\n2. `ai-005` — **The 4-box prompt for mental overload**\n3. `attention-002` — **The algorithm does not need you happy**\n\nWarum diese drei?\n\n- starke Hooks\n- klare Zielgruppe\n- hoher Kommentar-/Template-Trigger\n- direkter Bezug zu KI + Life Systems\n- keine religiöse Brand-Komplexität\n- gute Mischung aus Growth und 1min+ Monetization Candidate\n\nWenn du willst, mache ich als nächsten Schritt direkt den **Voiceover-Finalizer v1** und generiere die finalen Scripts für diese 3 Kandidaten."
}
],
"id": "msg_049e6b492e9f3d48016a10d21b87448191bc79580d3f66c83d",
"phase": "final_answer"
}
],
"finish_reason": "stop"
},
{
"role": "user",
"content": "[M G] Ok mach das."
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqENLeUW6qCbzXQUe4zHCnbAHsP5BvcrdLqRzAtS8RPVb0cA3rOV2uHXoVWxPhzlI62UTpyAuii-clgi2B5OWOKDaOPvsl5WizWS3cxDKMR7Ny2sZqkyiamhjt4j-ajkNCfsh0ID1q9rvmkUYuAO4JSJGPw7H217XtLAbJs7Eiyi_MgUGtk-aALFjled_Clcw7wyvYPCZb_FcO9fIBjbMr_1M26SDglboM9JDpmg9mlG4NRIF5sTw40cezAmC6MsgVHWETQ4iem9Am4d8GYZgq2Y23DNn09k2RWZs5VCJUODfojwFLJCAqEx66olRABunf9a3XAd552JksW2z95lnIebmgm_oxaSLolygozSXNKw-mYss-0tWcHKI-em5uzoIj6YmT4Q9MDGUScWbx33EGFbo_hdtp69Kj4iEnyF-6kxtzZY1Axp3yzQj7CvmfpiaSlJVzXyOt9i9uJ-niMG4XLjI5OpJ5IzU8vcKUdF7XzSf5YJDjhHCjCRbEEcOxu3bQ5et_mZ8guuBrgmUewQTrcdIyVFd494ue0uaxKekLZUeVl2IXeC-cY3oHt4pkDKPRYuBhx7KRKwU7pGlzDJHtEG0bkboLb7kZtLTI41_4v4DNZwTPvTf5UtgavppN5uaMikA9rqAt6AIOKSsFu6IkIP_gAsVzVpyHv9ws4oZFGlD4hpG3_Jmmxs4OIG6dt_gn1x7w0QhPGweKMzsu_Kvp7bbnC6mRyHg0T8nYhSltV8b30RzzTKV_AFEmVQ5nLitoMCbBpSNcAeXe4LgkIPb5e-0U1TdBJKUmobi0rHWdFVQTnBLc13Yh-or9SD6NT1ILsZvP22hG8rzkicUIAI8P6ENbvNuSDncUhwLLgtIi49D_twToTnP6ypZIMvgf_IImYTSY-lzypY8vwydfqtgv91CV3xpFMXc3e6P0nyUg3Xfcv5c9jngfotHY3W1FwE4HEOx892t6GAQPzAW8gi3GNeJdpuDft8iqeUa9-8C4e2TzvZPip-QzZPf9F2jAmx-vzJ8kunD4LxrrAtqW-lzV0Cl_zqP_fSqQcS-9mEpfwJjbN5Q=",
"id": "rs_049e6b492e9f3d48016a10d2db20e48191bf91ddb54cd5f4e0",
"summary": []
}
],
"tool_calls": [
{
"id": "call_eyNbaY8QuGvIvzfzyMl1yaFv",
"call_id": "call_eyNbaY8QuGvIvzfzyMl1yaFv",
"response_item_id": "fc_049e6b492e9f3d48016a10d2ddbb4481918e694648df053895",
"type": "function",
"function": {
"name": "todo",
"arguments": "{\"todos\":[{\"id\":\"1\",\"content\":\"Tests für Voiceover-Finalizer schreiben\",\"status\":\"in_progress\"},{\"id\":\"2\",\"content\":\"Voiceover-Finalizer implementieren\",\"status\":\"pending\"},{\"id\":\"3\",\"content\":\"Finale Skripte für Top-3 generieren\",\"status\":\"pending\"},{\"id\":\"4\",\"content\":\"Tests ausführen, committen und pushen\",\"status\":\"pending\"}]}"
}
}
]
},
{
"role": "tool",
"name": "todo",
"content": "{\"todos\": [{\"id\": \"1\", \"content\": \"Tests für Voiceover-Finalizer schreiben\", \"status\": \"in_progress\"}, {\"id\": \"2\", \"content\": \"Voiceover-Finalizer implementieren\", \"status\": \"pending\"}, {\"id\": \"3\", \"content\": \"Finale Skripte für Top-3 generieren\", \"status\": \"pending\"}, {\"id\": \"4\", \"content\": \"Tests ausführen, committen und pushen\", \"status\": \"pending\"}], \"summary\": {\"total\": 4, \"pending\": 3, \"in_progress\": 1, \"completed\": 0, \"cancelled\": 0}}",
"tool_call_id": "call_eyNbaY8QuGvIvzfzyMl1yaFv"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_x6VkrZKnIOFUwG4farpXbu5G",
"call_id": "call_x6VkrZKnIOFUwG4farpXbu5G",
"response_item_id": "fc_049e6b492e9f3d48016a10d2e1434081919fab0905b1049bb9",
"type": "function",
"function": {
"name": "write_file",
"arguments": "{\"content\":\"from pathlib import Path\\n\\nfrom autoshorts.growth_plan import load_testbatch\\nfrom autoshorts.voiceover_finalizer import finalize_voiceover, write_final_scripts\\n\\n\\ndef test_finalize_voiceover_keeps_hook_first_and_estimates_duration():\\n batch = load_testbatch(Path(\\\"data/drafts/testbatch_002.json\\\"))\\n idea = next(item for item in batch[\\\"ideas\\\"] if item[\\\"id\\\"] == \\\"ai-004\\\")\\n\\n final = finalize_voiceover(idea)\\n\\n assert final[\\\"id\\\"] == \\\"ai-004\\\"\\n assert final[\\\"voiceover\\\"].startswith(idea[\\\"hook\\\"])\\n assert final[\\\"estimated_seconds\\\"] <= idea[\\\"duration_seconds\\\"] + 4\\n assert final[\\\"estimated_seconds\\\"] >= idea[\\\"duration_seconds\\\"] - 12\\n assert final[\\\"word_count\\\"] > 70\\n assert final[\\\"caption_beats\\\"][0][\\\"start\\\"] == 0\\n assert final[\\\"production_notes\\\"]\\n\\n\\ndef test_finalize_voiceover_uses_longer_script_for_rewards_candidate():\\n batch = load_testbatch(Path(\\\"data/drafts/testbatch_002.json\\\"))\\n idea = next(item for item in batch[\\\"ideas\\\"] if item[\\\"id\\\"] == \\\"ai-005\\\")\\n\\n final = finalize_voiceover(idea)\\n\\n assert final[\\\"platform_note\\\"] == \\\"TikTok Rewards Candidate\\\"\\n assert final[\\\"word_count\\\"] >= 120\\n assert final[\\\"estimated_seconds\\\"] >= 55\\n assert \\\"comment\\\" in final[\\\"voiceover\\\"].lower()\\n\\n\\ndef test_write_final_scripts_only_writes_selected_ids(tmp_path):\\n batch = load_testbatch(Path(\\\"data/drafts/testbatch_002.json\\\"))\\n\\n paths = write_final_scripts(batch, tmp_path, selected_ids=[\\\"ai-004\\\", \\\"ai-005\\\", \\\"attention-002\\\"])\\n\\n assert len(paths) == 3\\n names = {path.name for path in paths}\\n assert any(name.startswith(\\\"ai-004\\\") for name in names)\\n assert all(path.suffix == \\\".md\\\" for path in paths)\\n assert \\\"Voiceover\\\" in paths[0].read_text(encoding=\\\"utf-8\\\")\\n\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_voiceover_finalizer.py\"}"
}
}
]
},
{
"role": "tool",
"name": "write_file",
"content": "{\"bytes_written\": 1704, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}, \"lsp_diagnostics\": \"LSP diagnostics introduced by this edit:\\n\\nERROR [4:6] Import \\\"autoshorts.voiceover_finalizer\\\" could not be resolved [reportMissingImports] (Pyright)\\n\"}",
"tool_call_id": "call_x6VkrZKnIOFUwG4farpXbu5G"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_w8FoWWINtFK2JBXnLbTvV0Od",
"call_id": "call_w8FoWWINtFK2JBXnLbTvV0Od",
"response_item_id": "fc_049e6b492e9f3d48016a10d2ee90b481918549ac6bbe50164b",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"python3 -m pytest tests/test_voiceover_finalizer.py -q\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"
}
}
]
},
{
"role": "tool",
"name": "terminal",
"content": "{\"output\": \"==================================== ERRORS ====================================\\n______________ ERROR collecting tests/test_voiceover_finalizer.py ______________\\nImportError while importing test module '/home/agent/jarvis_runtime/AutoShortsBot/tests/test_voiceover_finalizer.py'.\\nHint: make sure your test modules/packages have valid Python names.\\nTraceback:\\n../../.local/share/uv/python/cpython-3.11.15-linux-x86_64-gnu/lib/python3.11/importlib/__init__.py:126: in import_module\\n return _bootstrap._gcd_import(name[level:], package, level)\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\ntests/test_voiceover_finalizer.py:4: in \\n from autoshorts.voiceover_finalizer import finalize_voiceover, write_final_scripts\\nE ModuleNotFoundError: No module named 'autoshorts.voiceover_finalizer'\\n=========================== short test summary info ============================\\nERROR tests/test_voiceover_finalizer.py\\n!!!!!!!!!!!!!!!!!!!! Interrupted: 1 error during collection !!!!!!!!!!!!!!!!!!!!\\n1 error in 0.10s\", \"exit_code\": 2, \"error\": null}",
"tool_call_id": "call_w8FoWWINtFK2JBXnLbTvV0Od"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_jfC5PaDDzndpPwV1AgsdyOWv",
"call_id": "call_jfC5PaDDzndpPwV1AgsdyOWv",
"response_item_id": "fc_049e6b492e9f3d48016a10d2f2bac88191b59820140f026949",
"type": "function",
"function": {
"name": "todo",
"arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Tests für Voiceover-Finalizer schreiben\",\"id\":\"1\",\"status\":\"completed\"},{\"content\":\"Voiceover-Finalizer implementieren\",\"id\":\"2\",\"status\":\"in_progress\"}]}"
}
}
]
},
{
"role": "tool",
"name": "todo",
"content": "{\"todos\": [{\"id\": \"1\", \"content\": \"Tests für Voiceover-Finalizer schreiben\", \"status\": \"completed\"}, {\"id\": \"2\", \"content\": \"Voiceover-Finalizer implementieren\", \"status\": \"in_progress\"}, {\"id\": \"3\", \"content\": \"Finale Skripte für Top-3 generieren\", \"status\": \"pending\"}, {\"id\": \"4\", \"content\": \"Tests ausführen, committen und pushen\", \"status\": \"pending\"}], \"summary\": {\"total\": 4, \"pending\": 2, \"in_progress\": 1, \"completed\": 1, \"cancelled\": 0}}",
"tool_call_id": "call_jfC5PaDDzndpPwV1AgsdyOWv"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_gDdsMASZD1UC3xybGGS6WBSM",
"call_id": "call_gDdsMASZD1UC3xybGGS6WBSM",
"response_item_id": "fc_049e6b492e9f3d48016a10d2f7fa048191b0f84d6200020af2",
"type": "function",
"function": {
"name": "write_file",
"arguments": "{\"content\":\"\\\"\\\"\\\"Deterministic voiceover finalizer for curated AutoShortsBot ideas.\\\"\\\"\\\"\\n\\nfrom __future__ import annotations\\n\\nimport re\\nfrom pathlib import Path\\nfrom typing import Any\\n\\nfrom autoshorts.script_drafts import _slug\\n\\nTOP3_CUSTOM_VOICEOVERS = {\\n \\\"ai-004\\\": \\\"\\\"\\\"Stop asking AI to think for you. Ask it to argue with you. Most people use AI like a vending machine: type a question, get a confident answer, move on. That is the weakest use case. The better move is this: paste your idea and ask, what assumptions am I making? What is the weakest part? What would a smart critic disagree with? What are three alternatives I have not considered? Now AI is not replacing your thinking. It is putting resistance against lazy thinking. You still decide. You still own the consequence. But you arrive sharper, because the first version of your idea had to survive a fight. Comment CRITIC if you want the exact prompt.\\\"\\\"\\\",\\n \\\"ai-005\\\": \\\"\\\"\\\"If your brain has 47 tabs open, paste the mess into this four-box prompt. Do not ask AI to motivate you. Ask it to sort the noise. First, dump everything: tasks, worries, random reminders, half-decisions, all of it. Then ask AI: split this into four boxes. Box one: tasks I can actually do. Box two: worries I cannot solve right now. Box three: decisions I need to make. Box four: later, not today. Then ask one final question: what is the next action that takes less than two minutes? That is the whole trick. You are not looking for a perfect life plan. You are looking for one clean handle on the chaos. When the output appears, do only the two-minute action first. Momentum beats clarity. Comment RESET if you want me to turn this into a copy-paste template.\\\"\\\"\\\",\\n \\\"attention-002\\\": \\\"\\\"\\\"The algorithm does not need you happy. It needs you to stay. That does not mean every app is evil. It means the incentives are not the same as yours. You want focus, sleep, actual progress, maybe a quiet brain for once. The feed wants one more swipe. So stop fighting a machine with vibes. Change the design. First, turn your phone to greyscale when you need deep work. Second, remove your worst app from the home screen. Do not delete it if that feels dramatic. Just make it less automatic. Third, before you open a feed, set a leaving cue: one search, three videos, or five minutes. If there is no exit rule, the app owns the exit. This is not about becoming a monk. It is about making your phone slightly less talented at stealing your day. Which app gets moved off your home screen today?\\\"\\\"\\\",\\n}\\n\\n\\ndef _word_count(text: str) -> int:\\n return len(re.findall(r\\\"\\\\b[\\\\w'-]+\\\\b\\\", text))\\n\\n\\ndef _estimate_seconds(word_count: int, words_per_minute: int = 145) -> int:\\n return round(word_count / words_per_minute * 60)\\n\\n\\ndef _generic_voiceover(idea: dict[str, Any]) -> str:\\n \\\"\\\"\\\"Fallback finalizer for non-custom ideas.\\\"\\\"\\\"\\n return (\\n f\\\"{idea['hook']} \\\"\\n f\\\"Here is the useful part. {idea['script_outline']} \\\"\\n f\\\"Do not turn this into another idea you save and forget. Try the smallest version today. \\\"\\n f\\\"{idea['cta']}\\\"\\n )\\n\\n\\ndef _caption_beats(voiceover: str, duration: int) -> list[dict[str, Any]]:\\n sentences = [part.strip() for part in re.split(r\\\"(?<=[.!?])\\\\s+\\\", voiceover) if part.strip()]\\n if not sentences:\\n return []\\n step = max(2, round(duration / len(sentences)))\\n beats: list[dict[str, Any]] = []\\n current = 0\\n for sentence in sentences:\\n beats.append({\\\"start\\\": current, \\\"text\\\": sentence})\\n current += step\\n return beats\\n\\n\\ndef _production_notes(idea: dict[str, Any], estimated_seconds: int) -> list[str]:\\n notes = [\\n \\\"First frame must show the hook as large kinetic caption text.\\\",\\n \\\"Use motion or a visual state change in the first 1-2 seconds.\\\",\\n \\\"Avoid static AI slideshow visuals; use screen recordings, cards, timer, or before/after cuts.\\\",\\n ]\\n if estimated_seconds >= 60:\\n notes.append(\\\"Keep this version above 60 seconds for TikTok Creator Rewards testing.\\\")\\n if idea[\\\"pillar\\\"] == \\\"ai_life_systems\\\":\\n notes.append(\\\"Show the human approval/decision moment; do not imply AI has final authority.\\\")\\n if idea[\\\"pillar\\\"] == \\\"attention_design\\\":\\n notes.append(\\\"Avoid moral panic; frame as attention design and defaults.\\\")\\n return notes\\n\\n\\ndef finalize_voiceover(idea: dict[str, Any]) -> dict[str, Any]:\\n \\\"\\\"\\\"Create a final spoken script and production metadata for one idea.\\\"\\\"\\\"\\n voiceover = TOP3_CUSTOM_VOICEOVERS.get(idea[\\\"id\\\"], _generic_voiceover(idea)).strip()\\n word_count = _word_count(voiceover)\\n estimated_seconds = _estimate_seconds(word_count)\\n platform_note = \\\"TikTok Rewards Candidate\\\" if int(idea[\\\"duration_seconds\\\"]) >= 60 else \\\"Growth Short\\\"\\n\\n return {\\n \\\"id\\\": idea[\\\"id\\\"],\\n \\\"pillar\\\": idea[\\\"pillar\\\"],\\n \\\"title\\\": idea[\\\"title\\\"],\\n \\\"target_seconds\\\": int(idea[\\\"duration_seconds\\\"]),\\n \\\"estimated_seconds\\\": estimated_seconds,\\n \\\"platform_note\\\": platform_note,\\n \\\"word_count\\\": word_count,\\n \\\"voiceover\\\": voiceover,\\n \\\"caption_beats\\\": _caption_beats(voiceover, estimated_seconds),\\n \\\"visual_concept\\\": idea[\\\"visual_concept\\\"],\\n \\\"caption\\\": idea[\\\"caption\\\"],\\n \\\"cta\\\": idea[\\\"cta\\\"],\\n \\\"production_notes\\\": _production_notes(idea, estimated_seconds),\\n }\\n\\n\\ndef format_final_script(final: dict[str, Any]) -> str:\\n \\\"\\\"\\\"Format final voiceover package as Markdown.\\\"\\\"\\\"\\n beats = \\\"\\\\n\\\".join(f\\\"- {beat['start']:02d}s: {beat['text']}\\\" for beat in final[\\\"caption_beats\\\"])\\n notes = \\\"\\\\n\\\".join(f\\\"- {note}\\\" for note in final[\\\"production_notes\\\"])\\n return f\\\"\\\"\\\"# {final['title']}\\n\\n- ID: `{final['id']}`\\n- Pillar: `{final['pillar']}`\\n- Target duration: {final['target_seconds']}s\\n- Estimated voiceover duration: {final['estimated_seconds']}s\\n- Word count: {final['word_count']}\\n- Platform note: {final['platform_note']}\\n\\n## Voiceover\\n\\n{final['voiceover']}\\n\\n## Caption beats\\n\\n{beats}\\n\\n## Visual concept\\n\\n{final['visual_concept']}\\n\\n## Caption\\n\\n{final['caption']}\\n\\n## CTA\\n\\n{final['cta']}\\n\\n## Production notes\\n\\n{notes}\\n\\\"\\\"\\\"\\n\\n\\ndef write_final_scripts(\\n batch: dict[str, Any], output_dir: Path, selected_ids: list[str] | None = None\\n) -> list[Path]:\\n \\\"\\\"\\\"Write final voiceover scripts for selected ideas.\\\"\\\"\\\"\\n selected = set(selected_ids or [])\\n output_dir.mkdir(parents=True, exist_ok=True)\\n paths: list[Path] = []\\n for idea in batch.get(\\\"ideas\\\", []):\\n if selected and idea[\\\"id\\\"] not in selected:\\n continue\\n final = finalize_voiceover(idea)\\n path = output_dir / f\\\"{final['id']}-{_slug(final['title'])}.md\\\"\\n path.write_text(format_final_script(final), encoding=\\\"utf-8\\\")\\n paths.append(path)\\n return paths\\n\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/voiceover_finalizer.py\"}"
}
}
]
},
{
"role": "tool",
"name": "write_file",
"content": "{\"bytes_written\": 6706, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"tool_call_id": "call_gDdsMASZD1UC3xybGGS6WBSM"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_QMD7hI3OspK2CbmFHrWovzBd",
"call_id": "call_QMD7hI3OspK2CbmFHrWovzBd",
"response_item_id": "fc_049e6b492e9f3d48016a10d31e81c081919fe0c5cb85ba7145",
"type": "function",
"function": {
"name": "patch",
"arguments": "{\"mode\":\"replace\",\"new_string\":\"__all__ = [\\\"growth_plan\\\", \\\"retention\\\", \\\"script_drafts\\\", \\\"voiceover_finalizer\\\"]\",\"old_string\":\"__all__ = [\\\"growth_plan\\\", \\\"retention\\\", \\\"script_drafts\\\"]\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__init__.py\"}"
}
}
]
},
{
"role": "tool",
"name": "patch",
"content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__init__.py\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__init__.py\\n@@ -1,3 +1,3 @@\\n \\\"\\\"\\\"AutoShortsBot growth engine package.\\\"\\\"\\\"\\n \\n-__all__ = [\\\"growth_plan\\\", \\\"retention\\\", \\\"script_drafts\\\"]\\n+__all__ = [\\\"growth_plan\\\", \\\"retention\\\", \\\"script_drafts\\\", \\\"voiceover_finalizer\\\"]\\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/__init__.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"tool_call_id": "call_QMD7hI3OspK2CbmFHrWovzBd"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_eEe4PMTKzfbmd7chThnnfzzr",
"call_id": "call_eEe4PMTKzfbmd7chThnnfzzr",
"response_item_id": "fc_049e6b492e9f3d48016a10d323da608191805190110ceb5d3d",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"python3 -m pytest tests/test_voiceover_finalizer.py -q\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"
}
}
]
},
{
"role": "tool",
"name": "terminal",
"content": "{\"output\": \"F.. [100%]\\n=================================== FAILURES ===================================\\n_______ test_finalize_voiceover_keeps_hook_first_and_estimates_duration ________\\n\\n def test_finalize_voiceover_keeps_hook_first_and_estimates_duration():\\n batch = load_testbatch(Path(\\\"data/drafts/testbatch_002.json\\\"))\\n idea = next(item for item in batch[\\\"ideas\\\"] if item[\\\"id\\\"] == \\\"ai-004\\\")\\n \\n final = finalize_voiceover(idea)\\n \\n assert final[\\\"id\\\"] == \\\"ai-004\\\"\\n assert final[\\\"voiceover\\\"].startswith(idea[\\\"hook\\\"])\\n> assert final[\\\"estimated_seconds\\\"] <= idea[\\\"duration_seconds\\\"] + 4\\nE assert 48 <= (41 + 4)\\n\\ntests/test_voiceover_finalizer.py:15: AssertionError\\n=========================== short test summary info ============================\\nFAILED tests/test_voiceover_finalizer.py::test_finalize_voiceover_keeps_hook_first_and_estimates_duration\\n1 failed, 2 passed in 0.05s\", \"exit_code\": 1, \"error\": null}\n\n[Tool loop warning: repeated_exact_failure_warning; count=2; terminal has failed 2 times with identical arguments. This looks like a loop; inspect the error and change strategy instead of retrying it unchanged.]",
"tool_call_id": "call_eEe4PMTKzfbmd7chThnnfzzr"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqENMw3TnfUMN9VABx7sCAB_AMl_3BDIHWxlAck9xrqRbvEPbNwfKRifTkrkLz4k1hdkQ0-GngJh96KS3CWufZ9UpIw7y3ruo9dlcRm41WFivfZhp9ZYFYAv4ILA13M2sjuCvZYNGbtkTIdPQTZXF33bUI32tm6uy1ceZsvFwQ9_pLDbIVBBQVgqj3bcwXwbunVrcMHoQKRHGrdUfHBhpY7e_bL2FgWZUyY3XDCDOB1vdif3I6ixsMvcE1TkAjf-UfEGfU6rCVtfq-Sy-6M8j7ffo-Yqz3gZn780LaSML5VIQ4IzxKHoG8VYbF6ZRQ4vK1XZL_NMssTTOAz7kuCZuoFcTmV1Kp-eKadSgsFNwDs7PaEpiyVEeC17tdD8JU9rGCn0LnGZREEMj3wfnf-5C5NKTpg8muszfCXamHPlK9rTWwMv_LORNIeHIe2gFIMMZIMTTixLWcpX3SQRalQMG6P9QM4N43ugCPFdv8qWSSAPrxT8z8VIRmoaSYMJTzFRhZ2R-mAMayxCmDS4bOyAa3PAwo5iLaTqUhXrelIDMW6Ep30nULrPY2nUR6ahdNCPtJV2kgVkCB4VhRN8vQhrJcNkApSk9jQmMHXC6hVBSDZkYpDJGEuMFsIitHFNNKWacOANLEoBiCGeDDIDeyE_5haY0k9XygMBb3ldAPWIiSZt-8_UjedcJAByNWcRjxwtS1kKTiLbOavo9hFNpkJFbVEYFHyU9nrKAYqeuZTf_3bmfvGbyj8h3Yslc1UvXWAmAQklPpxEg5Iz7vaOjNAxWACx-G-Je2v_9-8A2MIBg7KwDaL9WCC9TtyvWpWWAvN0ngLsvkRwm3zkbKGHpqZgc9lsrax0kejjQCJgzYBYHd945EG03hesm2f-aAir4tSU2jgd0mu0aU26lvKpK50jPb82TqBVqr4cqSmX96QIBMJ0IFaaPAuHVg1yuWbTi3O39MNP_OkehRysQ2G4j7Bw84s5IBXwQAUnaxZrewecwhO8uUshQ2QKMLfYa6T7DMrMDn4VJGiKGR4V4XIdYduYQu5rOZr7NtwDs3Q_K9g-a2CL4IccDm_sIM9qCBJB-075GTXJ9y",
"id": "rs_049e6b492e9f3d48016a10d32966c08191bae39182186da5d0",
"summary": []
}
],
"tool_calls": [
{
"id": "call_rym6zrTeA7P9uqmPfTZECkXe",
"call_id": "call_rym6zrTeA7P9uqmPfTZECkXe",
"response_item_id": "fc_049e6b492e9f3d48016a10d32a9f1c81918bd57a843a3dd3ff",
"type": "function",
"function": {
"name": "patch",
"arguments": "{\"mode\":\"replace\",\"old_string\":\"Stop asking AI to think for you. Ask it to argue with you. Most people use AI like a vending machine: type a question, get a confident answer, move on. That is the weakest use case. The better move is this: paste your idea and ask, what assumptions am I making? What is the weakest part? What would a smart critic disagree with? What are three alternatives I have not considered? Now AI is not replacing your thinking. It is putting resistance against lazy thinking. You still decide. You still own the consequence. But you arrive sharper, because the first version of your idea had to survive a fight. Comment CRITIC if you want the exact prompt.\",\"new_string\":\"Stop asking AI to think for you. Ask it to argue with you. Most people use AI like a vending machine: type a question, get a confident answer, move on. That is the weakest use case. Try this instead: paste your idea and ask, what assumptions am I making? What is the weakest part? What would a smart critic disagree with? Now AI is not replacing your thinking. It is putting resistance against lazy thinking. You still decide. You still own the consequence. But you arrive sharper, because the first version had to survive a fight. Comment CRITIC if you want the exact prompt.\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/voiceover_finalizer.py\"}"
}
}
]
},
{
"role": "tool",
"name": "patch",
"content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/voiceover_finalizer.py\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/voiceover_finalizer.py\\n@@ -9,7 +9,7 @@\\n from autoshorts.script_drafts import _slug\\n \\n TOP3_CUSTOM_VOICEOVERS = {\\n- \\\"ai-004\\\": \\\"\\\"\\\"Stop asking AI to think for you. Ask it to argue with you. Most people use AI like a vending machine: type a question, get a confident answer, move on. That is the weakest use case. The better move is this: paste your idea and ask, what assumptions am I making? What is the weakest part? What would a smart critic disagree with? What are three alternatives I have not considered? Now AI is not replacing your thinking. It is putting resistance against lazy thinking. You still decide. You still own the consequence. But you arrive sharper, because the first version of your idea had to survive a fight. Comment CRITIC if you want the exact prompt.\\\"\\\"\\\",\\n+ \\\"ai-004\\\": \\\"\\\"\\\"Stop asking AI to think for you. Ask it to argue with you. Most people use AI like a vending machine: type a question, get a confident answer, move on. That is the weakest use case. Try this instead: paste your idea and ask, what assumptions am I making? What is the weakest part? What would a smart critic disagree with? Now AI is not replacing your thinking. It is putting resistance against lazy thinking. You still decide. You still own the consequence. But you arrive sharper, because the first version had to survive a fight. Comment CRITIC if you want the exact prompt.\\\"\\\"\\\",\\n \\\"ai-005\\\": \\\"\\\"\\\"If your brain has 47 tabs open, paste the mess into this four-box prompt. Do not ask AI to motivate you. Ask it to sort the noise. First, dump everything: tasks, worries, random reminders, half-decisions, all of it. Then ask AI: split this into four boxes. Box one: tasks I can actually do. Box two: worries I cannot solve right now. Box three: decisions I need to make. Box four: later, not today. Then ask one final question: what is the next action that takes less than two minutes? That is the whole trick. You are not looking for a perfect life plan. You are looking for one clean handle on the chaos. When the output appears, do only the two-minute action first. Momentum beats clarity. Comment RESET if you want me to turn this into a copy-paste template.\\\"\\\"\\\",\\n \\\"attention-002\\\": \\\"\\\"\\\"The algorithm does not need you happy. It needs you to stay. That does not mean every app is evil. It means the incentives are not the same as yours. You want focus, sleep, actual progress, maybe a quiet brain for once. The feed wants one more swipe. So stop fighting a machine with vibes. Change the design. First, turn your phone to greyscale when you need deep work. Second, remove your worst app from the home screen. Do not delete it if that feels dramatic. Just make it less automatic. Third, before you open a feed, set a leaving cue: one search, three videos, or five minutes. If there is no exit rule, the app owns the exit. This is not about becoming a monk. It is about making your phone slightly less talented at stealing your day. Which app gets moved off your home screen today?\\\"\\\"\\\",\\n }\\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/voiceover_finalizer.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"tool_call_id": "call_rym6zrTeA7P9uqmPfTZECkXe"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_gvnAPU7DfXLQNU80sukakNin",
"call_id": "call_gvnAPU7DfXLQNU80sukakNin",
"response_item_id": "fc_049e6b492e9f3d48016a10d333f9d08191839e9ffc1169af4e",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"python3 -m pytest tests/test_voiceover_finalizer.py -q\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"
}
}
]
},
{
"role": "tool",
"name": "terminal",
"content": "{\"output\": \"... [100%]\\n3 passed in 0.04s\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_gvnAPU7DfXLQNU80sukakNin"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_B6ZpmFkBxgP6BfDYlntOosjz",
"call_id": "call_B6ZpmFkBxgP6BfDYlntOosjz",
"response_item_id": "fc_049e6b492e9f3d48016a10d33991f48191b93f1225ad598955",
"type": "function",
"function": {
"name": "todo",
"arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Voiceover-Finalizer implementieren\",\"id\":\"2\",\"status\":\"completed\"},{\"content\":\"Finale Skripte für Top-3 generieren\",\"id\":\"3\",\"status\":\"in_progress\"}]}"
}
}
]
},
{
"role": "tool",
"name": "todo",
"content": "{\"todos\": [{\"id\": \"1\", \"content\": \"Tests für Voiceover-Finalizer schreiben\", \"status\": \"completed\"}, {\"id\": \"2\", \"content\": \"Voiceover-Finalizer implementieren\", \"status\": \"completed\"}, {\"id\": \"3\", \"content\": \"Finale Skripte für Top-3 generieren\", \"status\": \"in_progress\"}, {\"id\": \"4\", \"content\": \"Tests ausführen, committen und pushen\", \"status\": \"pending\"}], \"summary\": {\"total\": 4, \"pending\": 1, \"in_progress\": 1, \"completed\": 2, \"cancelled\": 0}}",
"tool_call_id": "call_B6ZpmFkBxgP6BfDYlntOosjz"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_KSZtpMwWkuhcs4nH6IMiDiJA",
"call_id": "call_KSZtpMwWkuhcs4nH6IMiDiJA",
"response_item_id": "fc_049e6b492e9f3d48016a10d33d92048191b295e7545c3143b7",
"type": "function",
"function": {
"name": "write_file",
"arguments": "{\"content\":\"\\\"\\\"\\\"Generate final voiceover scripts for selected AutoShortsBot ideas.\\\"\\\"\\\"\\n\\nfrom __future__ import annotations\\n\\nimport argparse\\nimport sys\\nfrom pathlib import Path\\n\\nPROJECT_ROOT = Path(__file__).resolve().parents[1]\\nif str(PROJECT_ROOT) not in sys.path:\\n sys.path.insert(0, str(PROJECT_ROOT))\\n\\nfrom autoshorts.growth_plan import load_testbatch\\nfrom autoshorts.voiceover_finalizer import write_final_scripts\\n\\n\\nDEFAULT_SELECTED_IDS = [\\\"ai-004\\\", \\\"ai-005\\\", \\\"attention-002\\\"]\\n\\n\\ndef main() -> None:\\n parser = argparse.ArgumentParser(description=\\\"Generate final voiceover scripts.\\\")\\n parser.add_argument(\\\"--batch\\\", default=\\\"data/drafts/testbatch_002.json\\\")\\n parser.add_argument(\\\"--out\\\", default=\\\"data/final_scripts/testbatch_002_top3\\\")\\n parser.add_argument(\\\"--ids\\\", nargs=\\\"*\\\", default=DEFAULT_SELECTED_IDS)\\n args = parser.parse_args()\\n\\n batch = load_testbatch(Path(args.batch))\\n paths = write_final_scripts(batch, Path(args.out), selected_ids=args.ids)\\n print(f\\\"Generated {len(paths)} final scripts in {args.out}\\\")\\n for path in paths:\\n print(path)\\n\\n\\nif __name__ == \\\"__main__\\\":\\n main()\\n\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/scripts/generate_final_scripts.py\"}"
}
}
]
},
{
"role": "tool",
"name": "write_file",
"content": "{\"bytes_written\": 1115, \"dirs_created\": true, \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"tool_call_id": "call_KSZtpMwWkuhcs4nH6IMiDiJA"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_MIV5gAcfQuiZ1PK5iP1ZKHb6",
"call_id": "call_MIV5gAcfQuiZ1PK5iP1ZKHb6",
"response_item_id": "fc_049e6b492e9f3d48016a10d34c347c8191be0d8bd0a80a90d6",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"python3 scripts/generate_final_scripts.py --batch data/drafts/testbatch_002.json --out data/final_scripts/testbatch_002_top3\\npython3 - <<'PY'\\nfrom pathlib import Path\\nfiles=sorted(Path('data/final_scripts/testbatch_002_top3').glob('*.md'))\\nprint('final_files', len(files))\\nfor p in files:\\n print('\\\\n---', p.name, '---')\\n text=p.read_text(encoding='utf-8')\\n print('\\\\n'.join(text.splitlines()[:18]))\\nPY\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"
}
}
]
},
{
"role": "tool",
"name": "terminal",
"content": "{\"output\": \"Generated 3 final scripts in data/final_scripts/testbatch_002_top3\\ndata/final_scripts/testbatch_002_top3/ai-004-stop-asking-ai-to-think-for-you.md\\ndata/final_scripts/testbatch_002_top3/ai-005-the-4-box-prompt-for-mental-overload.md\\ndata/final_scripts/testbatch_002_top3/attention-002-the-algorithm-does-not-need-you-happy.md\\nfinal_files 3\\n\\n--- ai-004-stop-asking-ai-to-think-for-you.md ---\\n# Stop asking AI to think for you\\n\\n- ID: `ai-004`\\n- Pillar: `ai_life_systems`\\n- Target duration: 41s\\n- Estimated voiceover duration: 43s\\n- Word count: 104\\n- Platform note: Growth Short\\n\\n## Voiceover\\n\\nStop asking AI to think for you. Ask it to argue with you. Most people use AI like a vending machine: type a question, get a confident answer, move on. That is the weakest use case. Try this instead: paste your idea and ask, what assumptions am I making? What is the weakest part? What would a smart critic disagree with? Now AI is not replacing your thinking. It is putting resistance against lazy thinking. You still decide. You still own the consequence. But you arrive sharper, because the first version had to survive a fight. Comment CRITIC if you want the exact prompt.\\n\\n## Caption beats\\n\\n- 00s: Stop asking AI to think for you.\\n- 03s: Ask it to argue with you.\\n- 06s: Most people use AI like a vending machine: type a question, get a confident answer, move on.\\n\\n--- ai-005-the-4-box-prompt-for-mental-overload.md ---\\n# The 4-box prompt for mental overload\\n\\n- ID: `ai-005`\\n- Pillar: `ai_life_systems`\\n- Target duration: 61s\\n- Estimated voiceover duration: 58s\\n- Word count: 139\\n- Platform note: TikTok Rewards Candidate\\n\\n## Voiceover\\n\\nIf your brain has 47 tabs open, paste the mess into this four-box prompt. Do not ask AI to motivate you. Ask it to sort the noise. First, dump everything: tasks, worries, random reminders, half-decisions, all of it. Then ask AI: split this into four boxes. Box one: tasks I can actually do. Box two: worries I cannot solve right now. Box three: decisions I need to make. Box four: later, not today. Then ask one final question: what is the next action that takes less than two minutes? That is the whole trick. You are not looking for a perfect life plan. You are looking for one clean handle on the chaos. When the output appears, do only the two-minute action first. Momentum beats clarity. Comment RESET if you want me to turn this into a copy-paste template.\\n\\n## Caption beats\\n\\n- 00s: If your brain has 47 tabs open, paste the mess into this four-box prompt.\\n- 04s: Do not ask AI to motivate you.\\n- 08s: Ask it to sort the noise.\\n\\n--- attention-002-the-algorithm-does-not-need-you-happy.md ---\\n# The algorithm does not need you happy\\n\\n- ID: `attention-002`\\n- Pillar: `attention_design`\\n- Target duration: 67s\\n- Estimated voiceover duration: 61s\\n- Word count: 148\\n- Platform note: TikTok Rewards Candidate\\n\\n## Voiceover\\n\\nThe algorithm does not need you happy. It needs you to stay. That does not mean every app is evil. It means the incentives are not the same as yours. You want focus, sleep, actual progress, maybe a quiet brain for once. The feed wants one more swipe. So stop fighting a machine with vibes. Change the design. First, turn your phone to greyscale when you need deep work. Second, remove your worst app from the home screen. Do not delete it if that feels dramatic. Just make it less automatic. Third, before you open a feed, set a leaving cue: one search, three videos, or five minutes. If there is no exit rule, the app owns the exit. This is not about becoming a monk. It is about making your phone slightly less talented at stealing your day. Which app gets moved off your home screen today?\\n\\n## Caption beats\\n\\n- 00s: The algorithm does not need you happy.\\n- 04s: It needs you to stay.\\n- 08s: That does not mean every app is evil.\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_MIV5gAcfQuiZ1PK5iP1ZKHb6"
},
{
"role": "assistant",
"content": "",
"reasoning": "**Adjusting criteria for AI tests**\n\nI need to consider the issue with the AI005 candidate. It’s estimated that a score of 58 is below the 60 threshold. The tests currently allow scores down to 55, but for production, I might want to aim for over 60. I should add a sentence emphasizing that the target is now 61, and make sure to include a few additional words to clarify that the tests may still be acceptable.",
"finish_reason": "tool_calls",
"reasoning_content": "**Adjusting criteria for AI tests**\n\nI need to consider the issue with the AI005 candidate. It’s estimated that a score of 58 is below the 60 threshold. The tests currently allow scores down to 55, but for production, I might want to aim for over 60. I should add a sentence emphasizing that the target is now 61, and make sure to include a few additional words to clarify that the tests may still be acceptable.",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqENNdjf-P0p1pWm-hANsF0cDN-wPP7qx9Jn6wCmmRW_UBxYc5DHTfYGBmHiyrPg8FC84MXbZgQyV_h5iKJG9sOD0P3KyLWB1bca3qPRLHHrSIQG3Y-FCJQgwdWMzK3Y5z0Upd5c2PniIQeYFy5Xpwn4vXEz3D3s0MUb-I9T2dI4oiSIDL03FN2JquW_6MwsNQ4mWlRdK4vlufRh94EF9NZibdW3I2NxhgOpvd8dWg78hk6zERnoxuARNpbxmbv9lOpEAnUeO4gq5voqXD30K1A7gmHdvxw_Bamnwz3-T5pDuaQCt1mqYsyf4iqpEr-IdeBFiozvzVc8scYLFVxlDZ1icXHXbWQ6WrM1ttf_K9Uy2PqUeLf-wV1ufHAjxqpKKoRbVzez0OHa3FH4Rv_eiil9iVTpa6WWhZOdlUzZB4SoGqNyJBUDWiBaCyFHomjAJVT-f7NRMenK8g_OHR7a3Pfh8GnxXF-bRmGVVbsGqbF1HKEs1JKLfv6hc85JIFTwdoX-RTuJ7LqTTSJMm6XS3uXE2cz5GmlAQfIMr74Xv801aMPnZmR3RcUfHtXu5mVa6xIV6e3RgMHjMFkCg75BNQss-6cJMqLnKRBdce4UjXNuPhm2K89h0eFTmlTh6TOvbaUfYHBrVrzlLAu2Vb_ePupUavyl_GST1nBKSjTidR4FHwOysApWYUdm3VDy2uYGmKiasbPzdu94lOyvKVroXMpqoatjwFLZTsRv1cfTp1I9wBNJ14bOabQGF4Z-M1a0QcYMenrvtoAwxBMOqL50NoHmbPDsh6TM9PXdQiH-ZxdZ-7HLSPak-b7k6LPzlNndew_V7adEfXubqWp0XUsfqxZx8B4eU411Fzeiyd6HPXtOuhEuV1Saor0RKPxfm_Og6kEVjcSUIy5B3JOq3xAvvT8r8KN_-NDmA4wUE7KBumNOhoFkOJNWS6Ilp90w2GuYSws8EX9mwmPypY6nyn0hFoy2Q0Tq-Ce7URcxIXyBjpFrVD-RkuQS6gQkIFAAtESM5noD1VO3fpjQzpCUZej6iCRTrxdm3eGfM2iq1y74C9nG3RhrUQJDb1nRchyPTG3FrBeN6MmbA1MUGB7exQTZLcMg0mU-YWEJ001eA0EDGqzNnChEIE02qWDTi9XTTWFJCxjKhT_MPNy8542x-m0yKpBx7e4g==",
"id": "rs_049e6b492e9f3d48016a10d355193881919a9c2aceb0a5a459",
"summary": [
{
"type": "summary_text",
"text": "**Adjusting criteria for AI tests**\n\nI need to consider the issue with the AI005 candidate. It’s estimated that a score of 58 is below the 60 threshold. The tests currently allow scores down to 55, but for production, I might want to aim for over 60. I should add a sentence emphasizing that the target is now 61, and make sure to include a few additional words to clarify that the tests may still be acceptable."
}
]
}
],
"tool_calls": [
{
"id": "call_C7ToAiSxYAPEidTKP5L5jD8e",
"call_id": "call_C7ToAiSxYAPEidTKP5L5jD8e",
"response_item_id": "fc_049e6b492e9f3d48016a10d35847e481918159dc1024e99e9b",
"type": "function",
"function": {
"name": "patch",
"arguments": "{\"mode\":\"replace\",\"new_string\":\"If your brain has 47 tabs open, paste the mess into this four-box prompt. Do not ask AI to motivate you. Ask it to sort the noise. First, dump everything: tasks, worries, random reminders, half-decisions, all of it. Then ask AI: split this into four boxes. Box one: tasks I can actually do. Box two: worries I cannot solve right now. Box three: decisions I need to make. Box four: later, not today. Then ask one final question: what is the next action that takes less than two minutes? That is the whole trick. You are not looking for a perfect life plan. You are looking for one clean handle on the chaos. When the output appears, do only the two-minute action first. If it still feels too big, shrink it again. Momentum beats clarity. Comment RESET if you want me to turn this into a copy-paste template.\",\"old_string\":\"If your brain has 47 tabs open, paste the mess into this four-box prompt. Do not ask AI to motivate you. Ask it to sort the noise. First, dump everything: tasks, worries, random reminders, half-decisions, all of it. Then ask AI: split this into four boxes. Box one: tasks I can actually do. Box two: worries I cannot solve right now. Box three: decisions I need to make. Box four: later, not today. Then ask one final question: what is the next action that takes less than two minutes? That is the whole trick. You are not looking for a perfect life plan. You are looking for one clean handle on the chaos. When the output appears, do only the two-minute action first. Momentum beats clarity. Comment RESET if you want me to turn this into a copy-paste template.\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/voiceover_finalizer.py\"}"
}
}
]
},
{
"role": "tool",
"name": "patch",
"content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/voiceover_finalizer.py\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/autoshorts/voiceover_finalizer.py\\n@@ -10,7 +10,7 @@\\n \\n TOP3_CUSTOM_VOICEOVERS = {\\n \\\"ai-004\\\": \\\"\\\"\\\"Stop asking AI to think for you. Ask it to argue with you. Most people use AI like a vending machine: type a question, get a confident answer, move on. That is the weakest use case. Try this instead: paste your idea and ask, what assumptions am I making? What is the weakest part? What would a smart critic disagree with? Now AI is not replacing your thinking. It is putting resistance against lazy thinking. You still decide. You still own the consequence. But you arrive sharper, because the first version had to survive a fight. Comment CRITIC if you want the exact prompt.\\\"\\\"\\\",\\n- \\\"ai-005\\\": \\\"\\\"\\\"If your brain has 47 tabs open, paste the mess into this four-box prompt. Do not ask AI to motivate you. Ask it to sort the noise. First, dump everything: tasks, worries, random reminders, half-decisions, all of it. Then ask AI: split this into four boxes. Box one: tasks I can actually do. Box two: worries I cannot solve right now. Box three: decisions I need to make. Box four: later, not today. Then ask one final question: what is the next action that takes less than two minutes? That is the whole trick. You are not looking for a perfect life plan. You are looking for one clean handle on the chaos. When the output appears, do only the two-minute action first. Momentum beats clarity. Comment RESET if you want me to turn this into a copy-paste template.\\\"\\\"\\\",\\n+ \\\"ai-005\\\": \\\"\\\"\\\"If your brain has 47 tabs open, paste the mess into this four-box prompt. Do not ask AI to motivate you. Ask it to sort the noise. First, dump everything: tasks, worries, random reminders, half-decisions, all of it. Then ask AI: split this into four boxes. Box one: tasks I can actually do. Box two: worries I cannot solve right now. Box three: decisions I need to make. Box four: later, not today. Then ask one final question: what is the next action that takes less than two minutes? That is the whole trick. You are not looking for a perfect life plan. You are looking for one clean handle on the chaos. When the output appears, do only the two-minute action first. If it still feels too big, shrink it again. Momentum beats clarity. Comment RESET if you want me to turn this into a copy-paste template.\\\"\\\"\\\",\\n \\\"attention-002\\\": \\\"\\\"\\\"The algorithm does not need you happy. It needs you to stay. That does not mean every app is evil. It means the incentives are not the same as yours. You want focus, sleep, actual progress, maybe a quiet brain for once. The feed wants one more swipe. So stop fighting a machine with vibes. Change the design. First, turn your phone to greyscale when you need deep work. Second, remove your worst app from the home screen. Do not delete it if that feels dramatic. Just make it less automatic. Third, before you open a feed, set a leaving cue: one search, three videos, or five minutes. If there is no exit rule, the app owns the exit. This is not about becoming a monk. It is about making your phone slightly less talented at stealing your day. Which app gets moved off your home screen today?\\\"\\\"\\\",\\n }\\n \\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/autoshorts/voiceover_finalizer.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"tool_call_id": "call_C7ToAiSxYAPEidTKP5L5jD8e"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_vJ39v6GpqqVArpzJmT9XnIQs",
"call_id": "call_vJ39v6GpqqVArpzJmT9XnIQs",
"response_item_id": "fc_049e6b492e9f3d48016a10d361d85481919ea1f00aef2802ca",
"type": "function",
"function": {
"name": "patch",
"arguments": "{\"mode\":\"replace\",\"new_string\":\" assert final[\\\"estimated_seconds\\\"] >= 60\",\"old_string\":\" assert final[\\\"estimated_seconds\\\"] >= 55\",\"path\":\"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_voiceover_finalizer.py\"}"
}
}
]
},
{
"role": "tool",
"name": "patch",
"content": "{\"success\": true, \"diff\": \"--- a//home/agent/jarvis_runtime/AutoShortsBot/tests/test_voiceover_finalizer.py\\n+++ b//home/agent/jarvis_runtime/AutoShortsBot/tests/test_voiceover_finalizer.py\\n@@ -27,7 +27,7 @@\\n \\n assert final[\\\"platform_note\\\"] == \\\"TikTok Rewards Candidate\\\"\\n assert final[\\\"word_count\\\"] >= 120\\n- assert final[\\\"estimated_seconds\\\"] >= 55\\n+ assert final[\\\"estimated_seconds\\\"] >= 60\\n assert \\\"comment\\\" in final[\\\"voiceover\\\"].lower()\\n \\n \\n\", \"files_modified\": [\"/home/agent/jarvis_runtime/AutoShortsBot/tests/test_voiceover_finalizer.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
"tool_call_id": "call_vJ39v6GpqqVArpzJmT9XnIQs"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_BUdQV1PB9Dt6XeE3NbAGyzw2",
"call_id": "call_BUdQV1PB9Dt6XeE3NbAGyzw2",
"response_item_id": "fc_049e6b492e9f3d48016a10d36930f88191b76bf5425c5dc3cc",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"rm -rf data/final_scripts/testbatch_002_top3\\npython3 scripts/generate_final_scripts.py --batch data/drafts/testbatch_002.json --out data/final_scripts/testbatch_002_top3\\npython3 -m pytest tests/test_voiceover_finalizer.py -q\\npython3 - <<'PY'\\nfrom pathlib import Path\\nfor p in sorted(Path('data/final_scripts/testbatch_002_top3').glob('*.md')):\\n for line in p.read_text(encoding='utf-8').splitlines():\\n if line.startswith('- Estimated') or line.startswith('- Word') or line.startswith('- ID'):\\n print(p.name, line)\\nPY\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"
}
}
]
},
{
"role": "tool",
"name": "terminal",
"content": "{\"output\": \"Generated 3 final scripts in data/final_scripts/testbatch_002_top3\\ndata/final_scripts/testbatch_002_top3/ai-004-stop-asking-ai-to-think-for-you.md\\ndata/final_scripts/testbatch_002_top3/ai-005-the-4-box-prompt-for-mental-overload.md\\ndata/final_scripts/testbatch_002_top3/attention-002-the-algorithm-does-not-need-you-happy.md\\n... [100%]\\n3 passed in 0.04s\\nai-004-stop-asking-ai-to-think-for-you.md - ID: `ai-004`\\nai-004-stop-asking-ai-to-think-for-you.md - Estimated voiceover duration: 43s\\nai-004-stop-asking-ai-to-think-for-you.md - Word count: 104\\nai-005-the-4-box-prompt-for-mental-overload.md - ID: `ai-005`\\nai-005-the-4-box-prompt-for-mental-overload.md - Estimated voiceover duration: 61s\\nai-005-the-4-box-prompt-for-mental-overload.md - Word count: 148\\nattention-002-the-algorithm-does-not-need-you-happy.md - ID: `attention-002`\\nattention-002-the-algorithm-does-not-need-you-happy.md - Estimated voiceover duration: 61s\\nattention-002-the-algorithm-does-not-need-you-happy.md - Word count: 148\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_BUdQV1PB9Dt6XeE3NbAGyzw2"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_FXPyxIzMczJmAqVTk3CNL94o",
"call_id": "call_FXPyxIzMczJmAqVTk3CNL94o",
"response_item_id": "fc_049e6b492e9f3d48016a10d36e8a0c81919a578f17ed459288",
"type": "function",
"function": {
"name": "todo",
"arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Finale Skripte für Top-3 generieren\",\"id\":\"3\",\"status\":\"completed\"},{\"content\":\"Tests ausführen, committen und pushen\",\"id\":\"4\",\"status\":\"in_progress\"}]}"
}
}
]
},
{
"role": "tool",
"name": "todo",
"content": "{\"todos\": [{\"id\": \"1\", \"content\": \"Tests für Voiceover-Finalizer schreiben\", \"status\": \"completed\"}, {\"id\": \"2\", \"content\": \"Voiceover-Finalizer implementieren\", \"status\": \"completed\"}, {\"id\": \"3\", \"content\": \"Finale Skripte für Top-3 generieren\", \"status\": \"completed\"}, {\"id\": \"4\", \"content\": \"Tests ausführen, committen und pushen\", \"status\": \"in_progress\"}], \"summary\": {\"total\": 4, \"pending\": 0, \"in_progress\": 1, \"completed\": 3, \"cancelled\": 0}}",
"tool_call_id": "call_FXPyxIzMczJmAqVTk3CNL94o"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_MxpkFlBzaArQ0A3g1iz6hmsE",
"call_id": "call_MxpkFlBzaArQ0A3g1iz6hmsE",
"response_item_id": "fc_049e6b492e9f3d48016a10d375078081919692b73e9e58c52c",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"python3 -m pytest -q\\ngit status --short\\ngit diff --stat\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"
}
}
]
},
{
"role": "tool",
"name": "terminal",
"content": "{\"output\": \"............... [100%]\\n15 passed in 0.05s\\n M autoshorts/__init__.py\\n?? autoshorts/voiceover_finalizer.py\\n?? data/final_scripts/\\n?? scripts/generate_final_scripts.py\\n?? tests/test_voiceover_finalizer.py\\n autoshorts/__init__.py | 2 +-\\n 1 file changed, 1 insertion(+), 1 deletion(-)\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_MxpkFlBzaArQ0A3g1iz6hmsE"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_EmnbleEFwbHn9InDWBzAwHwB",
"call_id": "call_EmnbleEFwbHn9InDWBzAwHwB",
"response_item_id": "fc_049e6b492e9f3d48016a10d37a73d881918f9882d5ddbe3ea5",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"set -euo pipefail\\ngit add autoshorts data/final_scripts scripts/generate_final_scripts.py tests/test_voiceover_finalizer.py\\ngit commit -m \\\"feat: add voiceover finalizer for top retention scripts\\\"\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"
}
}
]
},
{
"role": "tool",
"name": "terminal",
"content": "{\"output\": \"[feat/initial-growth-engine f73ddef] feat: add voiceover finalizer for top retention scripts\\n 7 files changed, 371 insertions(+), 1 deletion(-)\\n create mode 100644 autoshorts/voiceover_finalizer.py\\n create mode 100644 data/final_scripts/testbatch_002_top3/ai-004-stop-asking-ai-to-think-for-you.md\\n create mode 100644 data/final_scripts/testbatch_002_top3/ai-005-the-4-box-prompt-for-mental-overload.md\\n create mode 100644 data/final_scripts/testbatch_002_top3/attention-002-the-algorithm-does-not-need-you-happy.md\\n create mode 100644 scripts/generate_final_scripts.py\\n create mode 100644 tests/test_voiceover_finalizer.py\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_EmnbleEFwbHn9InDWBzAwHwB"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_PVS8069zH9wYIrL3TfZEBNUx",
"call_id": "call_PVS8069zH9wYIrL3TfZEBNUx",
"response_item_id": "fc_049e6b492e9f3d48016a10d37ea4a08191961875b311dbeb4a",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"set -euo pipefail\\ncd /home/agent/jarvis_runtime/AutoShortsBot\\nexport GITHUB_TOKEN=$(tr -d '\\\\n\\\\r' < /home/agent/.hermes/secrets/github_autoshortsbot_token)\\nASKPASS=$(mktemp)\\ncat > \\\"$ASKPASS\\\" <<'SH'\\n#!/bin/sh\\ncase \\\"$1\\\" in\\n *Username*) printf '%s\\\\n' x-access-token ;;\\n *Password*) printf '%s\\\\n' \\\"$GITHUB_TOKEN\\\" ;;\\n *) printf '\\\\n' ;;\\nesac\\nSH\\nchmod 700 \\\"$ASKPASS\\\"\\ntrap 'rm -f \\\"$ASKPASS\\\"' EXIT\\nGIT_ASKPASS=\\\"$ASKPASS\\\" GIT_TERMINAL_PROMPT=0 git push >/tmp/autoshorts_push4.log 2>&1 || { sed -E 's/(github_pat_|ghp_)[A-Za-z0-9_]+/[REDACTED]/g' /tmp/autoshorts_push4.log; exit 1; }\\nBRANCH=$(git branch --show-current)\\nLOCAL=$(git rev-parse HEAD)\\nREMOTE=$(GIT_ASKPASS=\\\"$ASKPASS\\\" GIT_TERMINAL_PROMPT=0 git ls-remote origin \\\"refs/heads/$BRANCH\\\" | awk '{print $1}')\\nprintf 'branch=%s\\\\nlocal=%s\\\\nremote=%s\\\\n' \\\"$BRANCH\\\" \\\"$LOCAL\\\" \\\"$REMOTE\\\"\\ntest \\\"$LOCAL\\\" = \\\"$REMOTE\\\"\\ncat /tmp/autoshorts_push4.log | sed -E 's/(github_pat_|ghp_)[A-Za-z0-9_]+/[REDACTED]/g'\",\"timeout\":120}"
}
}
]
},
{
"role": "tool",
"name": "terminal",
"content": "{\"output\": \"branch=feat/initial-growth-engine\\nlocal=f73ddef6f49aff7472fafed67558db01baf2706c\\nremote=f73ddef6f49aff7472fafed67558db01baf2706c\\nTo https://github.com/Gamexgit/AutoShortsBot.git\\n 5799d16..f73ddef feat/initial-growth-engine -> feat/initial-growth-engine\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_PVS8069zH9wYIrL3TfZEBNUx"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_tJlqGOMfqL7AbWetxDAMIEjY",
"call_id": "call_tJlqGOMfqL7AbWetxDAMIEjY",
"response_item_id": "fc_049e6b492e9f3d48016a10d38acae88191b3fee2b135d79e84",
"type": "function",
"function": {
"name": "terminal",
"arguments": "{\"command\":\"git status --short --branch && python3 -m pytest -q\",\"timeout\":60,\"workdir\":\"/home/agent/jarvis_runtime/AutoShortsBot\"}"
}
}
]
},
{
"role": "tool",
"name": "terminal",
"content": "{\"output\": \"## feat/initial-growth-engine...origin/feat/initial-growth-engine\\n............... [100%]\\n15 passed in 0.05s\", \"exit_code\": 0, \"error\": null}",
"tool_call_id": "call_tJlqGOMfqL7AbWetxDAMIEjY"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_XjjHVsVDSGi8fWbUksnNNE07",
"call_id": "call_XjjHVsVDSGi8fWbUksnNNE07",
"response_item_id": "fc_049e6b492e9f3d48016a10d38f50148191863ca821865c5a0a",
"type": "function",
"function": {
"name": "todo",
"arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Tests ausführen, committen und pushen\",\"id\":\"4\",\"status\":\"completed\"}]}"
}
}
]
},
{
"role": "tool",
"name": "todo",
"content": "{\"todos\": [{\"id\": \"1\", \"content\": \"Tests für Voiceover-Finalizer schreiben\", \"status\": \"completed\"}, {\"id\": \"2\", \"content\": \"Voiceover-Finalizer implementieren\", \"status\": \"completed\"}, {\"id\": \"3\", \"content\": \"Finale Skripte für Top-3 generieren\", \"status\": \"completed\"}, {\"id\": \"4\", \"content\": \"Tests ausführen, committen und pushen\", \"status\": \"completed\"}], \"summary\": {\"total\": 4, \"pending\": 0, \"in_progress\": 0, \"completed\": 4, \"cancelled\": 0}}",
"tool_call_id": "call_XjjHVsVDSGi8fWbUksnNNE07"
},
{
"role": "assistant",
"content": "Erledigt, Sir.\n\n## Implementiert\n\nIch habe den **Voiceover-Finalizer v1** gebaut und für die Top-3-Kandidaten finale Voiceover-Skripte generiert.\n\nGepusht auf:\n\n```text\nfeat/initial-growth-engine\n```\n\nNeuer Commit:\n\n```text\nf73ddef feat: add voiceover finalizer for top retention scripts\n```\n\nRemote-Verifikation:\n\n```text\nlocal == remote\n```\n\nTests:\n\n```text\n15 passed in 0.05s\n```\n\nPR-Link bleibt:\n\nhttps://github.com/Gamexgit/AutoShortsBot/pull/new/feat/initial-growth-engine\n\n---\n\n## Neue Dateien\n\n### Code\n\n```text\nautoshorts/voiceover_finalizer.py\nscripts/generate_final_scripts.py\ntests/test_voiceover_finalizer.py\n```\n\n### Finale Top-3-Skripte\n\n```text\ndata/final_scripts/testbatch_002_top3/\n ai-004-stop-asking-ai-to-think-for-you.md\n ai-005-the-4-box-prompt-for-mental-overload.md\n attention-002-the-algorithm-does-not-need-you-happy.md\n```\n\n---\n\n## Finalisierte Top-3\n\n### 1. `ai-004` — Stop asking AI to think for you\n\n- **Ziel:** Growth Short\n- **Target:** 41s\n- **Estimated Voiceover:** 43s\n- **Word Count:** 104\n\n**Voiceover:**\n\n> Stop asking AI to think for you. Ask it to argue with you. Most people use AI like a vending machine: type a question, get a confident answer, move on. That is the weakest use case. Try this instead: paste your idea and ask, what assumptions am I making? What is the weakest part? What would a smart critic disagree with? Now AI is not replacing your thinking. It is putting resistance against lazy thinking. You still decide. You still own the consequence. But you arrive sharper, because the first version had to survive a fight. Comment CRITIC if you want the exact prompt.\n\n---\n\n### 2. `ai-005` — The 4-box prompt for mental overload\n\n- **Ziel:** TikTok Rewards Candidate\n- **Target:** 61s\n- **Estimated Voiceover:** 61s\n- **Word Count:** 148\n\n**Voiceover:**\n\n> If your brain has 47 tabs open, paste the mess into this four-box prompt. Do not ask AI to motivate you. Ask it to sort the noise. First, dump everything: tasks, worries, random reminders, half-decisions, all of it. Then ask AI: split this into four boxes. Box one: tasks I can actually do. Box two: worries I cannot solve right now. Box three: decisions I need to make. Box four: later, not today. Then ask one final question: what is the next action that takes less than two minutes? That is the whole trick. You are not looking for a perfect life plan. You are looking for one clean handle on the chaos. When the output appears, do only the two-minute action first. If it still feels too big, shrink it again. Momentum beats clarity. Comment RESET if you want me to turn this into a copy-paste template.\n\n---\n\n### 3. `attention-002` — The algorithm does not need you happy\n\n- **Ziel:** TikTok Rewards Candidate\n- **Target:** 67s\n- **Estimated Voiceover:** 61s\n- **Word Count:** 148\n\n**Voiceover:**\n\n> The algorithm does not need you happy. It needs you to stay. That does not mean every app is evil. It means the incentives are not the same as yours. You want focus, sleep, actual progress, maybe a quiet brain for once. The feed wants one more swipe. So stop fighting a machine with vibes. Change the design. First, turn your phone to greyscale when you need deep work. Second, remove your worst app from the home screen. Do not delete it if that feels dramatic. Just make it less automatic. Third, before you open a feed, set a leaving cue: one search, three videos, or five minutes. If there is no exit rule, the app owns the exit. This is not about becoming a monk. It is about making your phone slightly less talented at stealing your day. Which app gets moved off your home screen today?\n\n---\n\n## Was der Finalizer jetzt erzeugt\n\nFür jedes finale Skript:\n\n- finales Voiceover\n- Ziel-/Schätzlänge\n- Word Count\n- Caption Beats mit Timing\n- Visual Concept\n- Caption\n- CTA\n- Production Notes\n\nBeispiel Production Notes:\n\n- First frame must show the hook as large kinetic caption text.\n- Use motion or a visual state change in the first 1–2 seconds.\n- Avoid static AI slideshow visuals.\n- For AI clips: show human decision/approval moment.\n- For Attention Design: avoid moral panic; frame as defaults/design.\n\n---\n\n## Nächster Entwicklungsschritt\n\nJetzt ist der Text stark genug für den ersten Rendering-Schritt.\n\nIch würde als Nächstes bauen:\n\n## Render Plan v1\n\nNoch nicht direkt voll rendern, sondern zuerst pro Video einen **Shot Plan** generieren:\n\nFür jedes Script:\n\n- Szene 1: First-frame hook\n- Szene 2: Pattern interrupt\n- Szene 3: Core explanation\n- Szene 4: Screen/card visual\n- Szene 5: CTA\n- Caption-Beats\n- Asset-Typ:\n - Screen recording\n - generated background\n - card animation\n - stock/B-roll\n - kinetic text\n\nDanach erst Renderer anpassen.\n\nWarum? Weil die bisherigen Videos vor allem am **generischen KI-Bild/Slideshow-Look** leiden. Wenn wir jetzt blind rendern, macht der Bot wieder hübschen, aber scrollbaren Tapetenwechsel. Das wäre ästhetisch sauber und strategisch dumm — also exakt das, was wir vermeiden.",
"reasoning": null,
"finish_reason": "stop",
"codex_message_items": [
{
"type": "message",
"role": "assistant",
"status": "completed",
"content": [
{
"type": "output_text",
"text": "Erledigt, Sir.\n\n## Implementiert\n\nIch habe den **Voiceover-Finalizer v1** gebaut und für die Top-3-Kandidaten finale Voiceover-Skripte generiert.\n\nGepusht auf:\n\n```text\nfeat/initial-growth-engine\n```\n\nNeuer Commit:\n\n```text\nf73ddef feat: add voiceover finalizer for top retention scripts\n```\n\nRemote-Verifikation:\n\n```text\nlocal == remote\n```\n\nTests:\n\n```text\n15 passed in 0.05s\n```\n\nPR-Link bleibt:\n\nhttps://github.com/Gamexgit/AutoShortsBot/pull/new/feat/initial-growth-engine\n\n---\n\n## Neue Dateien\n\n### Code\n\n```text\nautoshorts/voiceover_finalizer.py\nscripts/generate_final_scripts.py\ntests/test_voiceover_finalizer.py\n```\n\n### Finale Top-3-Skripte\n\n```text\ndata/final_scripts/testbatch_002_top3/\n ai-004-stop-asking-ai-to-think-for-you.md\n ai-005-the-4-box-prompt-for-mental-overload.md\n attention-002-the-algorithm-does-not-need-you-happy.md\n```\n\n---\n\n## Finalisierte Top-3\n\n### 1. `ai-004` — Stop asking AI to think for you\n\n- **Ziel:** Growth Short\n- **Target:** 41s\n- **Estimated Voiceover:** 43s\n- **Word Count:** 104\n\n**Voiceover:**\n\n> Stop asking AI to think for you. Ask it to argue with you. Most people use AI like a vending machine: type a question, get a confident answer, move on. That is the weakest use case. Try this instead: paste your idea and ask, what assumptions am I making? What is the weakest part? What would a smart critic disagree with? Now AI is not replacing your thinking. It is putting resistance against lazy thinking. You still decide. You still own the consequence. But you arrive sharper, because the first version had to survive a fight. Comment CRITIC if you want the exact prompt.\n\n---\n\n### 2. `ai-005` — The 4-box prompt for mental overload\n\n- **Ziel:** TikTok Rewards Candidate\n- **Target:** 61s\n- **Estimated Voiceover:** 61s\n- **Word Count:** 148\n\n**Voiceover:**\n\n> If your brain has 47 tabs open, paste the mess into this four-box prompt. Do not ask AI to motivate you. Ask it to sort the noise. First, dump everything: tasks, worries, random reminders, half-decisions, all of it. Then ask AI: split this into four boxes. Box one: tasks I can actually do. Box two: worries I cannot solve right now. Box three: decisions I need to make. Box four: later, not today. Then ask one final question: what is the next action that takes less than two minutes? That is the whole trick. You are not looking for a perfect life plan. You are looking for one clean handle on the chaos. When the output appears, do only the two-minute action first. If it still feels too big, shrink it again. Momentum beats clarity. Comment RESET if you want me to turn this into a copy-paste template.\n\n---\n\n### 3. `attention-002` — The algorithm does not need you happy\n\n- **Ziel:** TikTok Rewards Candidate\n- **Target:** 67s\n- **Estimated Voiceover:** 61s\n- **Word Count:** 148\n\n**Voiceover:**\n\n> The algorithm does not need you happy. It needs you to stay. That does not mean every app is evil. It means the incentives are not the same as yours. You want focus, sleep, actual progress, maybe a quiet brain for once. The feed wants one more swipe. So stop fighting a machine with vibes. Change the design. First, turn your phone to greyscale when you need deep work. Second, remove your worst app from the home screen. Do not delete it if that feels dramatic. Just make it less automatic. Third, before you open a feed, set a leaving cue: one search, three videos, or five minutes. If there is no exit rule, the app owns the exit. This is not about becoming a monk. It is about making your phone slightly less talented at stealing your day. Which app gets moved off your home screen today?\n\n---\n\n## Was der Finalizer jetzt erzeugt\n\nFür jedes finale Skript:\n\n- finales Voiceover\n- Ziel-/Schätzlänge\n- Word Count\n- Caption Beats mit Timing\n- Visual Concept\n- Caption\n- CTA\n- Production Notes\n\nBeispiel Production Notes:\n\n- First frame must show the hook as large kinetic caption text.\n- Use motion or a visual state change in the first 1–2 seconds.\n- Avoid static AI slideshow visuals.\n- For AI clips: show human decision/approval moment.\n- For Attention Design: avoid moral panic; frame as defaults/design.\n\n---\n\n## Nächster Entwicklungsschritt\n\nJetzt ist der Text stark genug für den ersten Rendering-Schritt.\n\nIch würde als Nächstes bauen:\n\n## Render Plan v1\n\nNoch nicht direkt voll rendern, sondern zuerst pro Video einen **Shot Plan** generieren:\n\nFür jedes Script:\n\n- Szene 1: First-frame hook\n- Szene 2: Pattern interrupt\n- Szene 3: Core explanation\n- Szene 4: Screen/card visual\n- Szene 5: CTA\n- Caption-Beats\n- Asset-Typ:\n - Screen recording\n - generated background\n - card animation\n - stock/B-roll\n - kinetic text\n\nDanach erst Renderer anpassen.\n\nWarum? Weil die bisherigen Videos vor allem am **generischen KI-Bild/Slideshow-Look** leiden. Wenn wir jetzt blind rendern, macht der Bot wieder hübschen, aber scrollbaren Tapetenwechsel. Das wäre ästhetisch sauber und strategisch dumm — also exakt das, was wir vermeiden."
}
],
"id": "msg_049e6b492e9f3d48016a10d392a5208191acde6b7a70847e19",
"phase": "final_answer"
}
]
},
{
"role": "user",
"content": "Review the conversation above and update the skill library. Be ACTIVE — most sessions produce at least one skill update, even if small. A pass that does nothing is a missed learning opportunity, not a neutral outcome.\n\nTarget shape of the library: CLASS-LEVEL skills, each with a rich SKILL.md and a `references/` directory for session-specific detail. Not a long flat list of narrow one-session-one-skill entries. This shapes HOW you update, not WHETHER you update.\n\nSignals to look for (any one of these warrants action):\n • User corrected your style, tone, format, legibility, or verbosity. Frustration signals like 'stop doing X', 'this is too verbose', 'don't format like this', 'why are you explaining', 'just give me the answer', 'you always do Y and I hate it', or an explicit 'remember this' are FIRST-CLASS skill signals, not just memory signals. Update the relevant skill(s) to embed the preference so the next session starts already knowing.\n • User corrected your workflow, approach, or sequence of steps. Encode the correction as a pitfall or explicit step in the skill that governs that class of task.\n • Non-trivial technique, fix, workaround, debugging path, or tool-usage pattern emerged that a future session would benefit from. Capture it.\n • A skill that got loaded or consulted this session turned out to be wrong, missing a step, or outdated. Patch it NOW.\n\nPreference order — prefer the earliest action that fits, but do pick one when a signal above fired:\n 1. UPDATE A CURRENTLY-LOADED SKILL. Look back through the conversation for skills the user loaded via /skill-name or you read via skill_view. If any of them covers the territory of the new learning, PATCH that one first. It is the skill that was in play, so it's the right one to extend.\n 2. UPDATE AN EXISTING UMBRELLA (via skills_list + skill_view). If no loaded skill fits but an existing class-level skill does, patch it. Add a subsection, a pitfall, or broaden a trigger.\n 3. ADD A SUPPORT FILE under an existing umbrella. Skills can be packaged with three kinds of support files — use the right directory per kind:\n • `references/.md` — session-specific detail (error transcripts, reproduction recipes, provider quirks) AND condensed knowledge banks: quoted research, API docs, external authoritative excerpts, or domain notes you found while working on the problem. Write it concise and for the value of the task, not as a full mirror of upstream docs.\n • `templates/.` — starter files meant to be copied and modified (boilerplate configs, scaffolding, a known-good example the agent can `reproduce with modifications`).\n • `scripts/.` — statically re-runnable actions the skill can invoke directly (verification scripts, fixture generators, deterministic probes, anything the agent should run rather than hand-type each time).\n Add support files via skill_manage action=write_file with file_path starting 'references/', 'templates/', or 'scripts/'. The umbrella's SKILL.md should gain a one-line pointer to any new support file so future agents know it exists.\n 4. CREATE A NEW CLASS-LEVEL UMBRELLA SKILL when no existing skill covers the class. The name MUST be at the class level. The name MUST NOT be a specific PR number, error string, feature codename, library-alone name, or 'fix-X / debug-Y / audit-Z-today' session artifact. If the proposed name only makes sense for today's task, it's wrong — fall back to (1), (2), or (3).\n\nUser-preference embedding (important): when the user expressed a style/format/workflow preference, the update belongs in the SKILL.md body, not just in memory. Memory captures 'who the user is and what the current situation and state of your operations are'; skills capture 'how to do this class of task for this user'. When they complain about how you handled a task, the skill that governs that task needs to carry the lesson.\n\nIf you notice two existing skills that overlap, note it in your reply — the background curator handles consolidation at scale.\n\nDo NOT capture (these become persistent self-imposed constraints that bite you later when the environment changes):\n • Environment-dependent failures: missing binaries, fresh-install errors, post-migration path mismatches, 'command not found', unconfigured credentials, uninstalled packages. The user can fix these — they are not durable rules.\n • Negative claims about tools or features ('browser tools do not work', 'X tool is broken', 'cannot use Y from execute_code'). These harden into refusals the agent cites against itself for months after the actual problem was fixed.\n • Session-specific transient errors that resolved before the conversation ended. If retrying worked, the lesson is the retry pattern, not the original failure.\n • One-off task narratives. A user asking 'summarize today's market' or 'analyze this PR' is not a class of work that warrants a skill.\n\nIf a tool failed because of setup state, capture the FIX (install command, config step, env var to set) under an existing setup or troubleshooting skill — never 'this tool does not work' as a standalone constraint.\n\n'Nothing to save.' is a real option but should NOT be the default. If the session ran smoothly with no corrections and produced no new technique, just say 'Nothing to save.' and stop. Otherwise, act.\n\nYou can only call memory and skill management tools. Other tools will be denied at runtime — do not attempt them."
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqENQi9udH-I5kDcq6WiyjIU11Nf38XoQuHqpht2NirFxah-45Gwxrc84ZR_4ix9XEJe8omdloNeKjJHfj6eXE4jVCBH1NteMpAZ9LF_yIRtuDrm02bbQOcZ_nT2s3jD1G5bb3fBOub6xZaebc0bhU2ggicbGhZiGMDohSQxjQvyhqEvcRAR-b_iuzbA6IJxAM1jJm5qoBjD-qWZrWkaTrq-ZJUSAuNYY1c_fO4RzVSNlR1SkHCvkwkuhZD0X5xCqBFl_PcXASDRPk6LLEhsmoQ5fM7xZMIo8rCE3ka7ba9NWEypQHRrEYIwi8hCpV-mZ8Q29FV3snAxDaYcUPKOG_TR--yR_X2vEtnjNvonnuikiD-KgUvYzPJ8vSMbJtNgLjsrpCw1bx1nF9u-bw_KU2Ego688_4hEyFCFpgxtmbin4D-alldGmr1sJ7xZzyHLYt5Zt3d_1V-RXTGkCDuHW5UfPwNr64fjEwz7qDLIlSOECyIixKjFs5ff10wYgx52JdJwJJ00fRHt5LSyiSW3gbngJImttiPKm67ksi5GcTzy2ARGaA6m9dWQnCoR4c0nvarRcxpRJaSw7M2CBxibE14ikruqL35hy4yvu54W0bPDYBp4ri8HX6Y3eXHYsvsL5k0yDcedp5YY7nQdQeJdYLO5D6WRokA0ytNDFtsXUezVH7S0fo2R30E0x_B2T32_mhSpWmKxKxTolBp4aA1q70f37300XUGdoSIZtvgZLAD56BPhtn6muHFb8DQvFwI0T-RU8X0mVPUIhK4Z61bARNYuHzuWdXWVxOL2-eaTR7O6wM-wEWhCtsJl0-U7UDkyaKAc4L1yktRFviJvoxUoqS_F3Zy5RoENzVGH-mLMtwwkUzgGijoGAF_Ns_Fnp4aPug7lZVgkvfUDl8sASo1fNGL9JYpMHtBG15TDnIHLGZ3jgS3kPPxo_fdcyCTlzBYQ9N8U_0Qt3SM8ZIVUhcUXp2oNk-G_Ht9J_vK1UfmgCoEhfb7CqHE259aO8MflSIS231XKNAWnCHhIVLiwK98hXgb88AnUee4wIELi1VsvDLG8bUZVAMWmHtHQsne6Q3Pa5l1ubVcKS3Cmdo2T7PVPYgwNaXVDIokdnGX-a4Pi5tdwd_wjQyoxgaD2LP8zKhs6s1ukZts4aUosynMBwie2uVBhfaJZlcJj6tX1lclD7IhjbCSXNKmWuxmL2vYYPdMwDQlKuaryRyqdevG67TdeujB5EkS6gJednItDkUEx3KBAnJASRetVw8qonzW_VdnB0TCeU0VeRwvswiIH2Qu9KYt99SJCGBcXHsPaeAhgMI0jSKoXE3Mw-EUIRmXVK0t5fboe_YNpOX20aeOo9YXsznvtsou8tN-xklNqy4Tc0KSN6gzA2k0xjHF6AG9kHcCKDU2ia6BiSmyn-RhoDUcRRjscER1Q==",
"id": "rs_049e6b492e9f3d48016a10d42060448191abd7ba7f079f290d",
"summary": []
}
],
"tool_calls": [
{
"id": "call_gTFf0svdFm16Vjdwxk3ohXzR",
"call_id": "call_gTFf0svdFm16Vjdwxk3ohXzR",
"response_item_id": "fc_049e6b492e9f3d48016a10d4225dec819186a42c6a111be2af",
"type": "function",
"function": {
"name": "skill_view",
"arguments": "{\"name\":\"social-media-shorts-automation\"}"
}
}
]
},
{
"role": "tool",
"name": "skill_view",
"content": "{\"success\": true, \"name\": \"social-media-shorts-automation\", \"description\": \"Design, generate, review, publish, and optimize automated short-form social videos across YouTube Shorts, TikTok, Instagram Reels, and related channels.\", \"tags\": [\"shorts\", \"tiktok\", \"youtube-shorts\", \"reels\", \"creator-monetization\", \"content-automation\", \"social-media\"], \"related_skills\": [], \"content\": \"---\\nname: social-media-shorts-automation\\ndescription: Design, generate, review, publish, and optimize automated short-form social videos across YouTube Shorts, TikTok, Instagram Reels, and related channels.\\nversion: 1.0.0\\ntags: [shorts, tiktok, youtube-shorts, reels, creator-monetization, content-automation, social-media]\\n---\\n\\n# Social-Media Shorts Automation\\n\\nUse this skill when building or operating systems that generate short-form social videos, especially faceless or semi-automated pipelines for YouTube Shorts, TikTok, Instagram Reels, Facebook Reels, Pinterest video pins, X video, or LinkedIn video.\\n\\n## Core principle\\n\\nTreat the system as a **Shorts Growth Engine**, not merely a renderer. A working video generator can still fail if it produces generic, low-retention, AI-slop content. Optimize for audience identity, hook quality, retention, platform fit, and analytics feedback.\\n\\n## Recommended workflow\\n\\n1. **Define channel position**\\n - Niche(s): e.g. life optimization, AI life systems, Christian faith/FaithTok.\\n - Target audience and emotional problem.\\n - Language and tone.\\n - Whether the brand is faceless, AI-persona-led, or creator-led.\\n - No-go topics and theological/ethical boundaries if faith-related.\\n\\n2. **Generate test ideas before code-heavy automation**\\n - Create 20–30 candidate ideas across 2–4 content pillars.\\n - For each: hook, script kernel, visual concept, caption, CTA, risk/quality score.\\n - Select a small first batch (e.g. 3 per pillar) for real testing.\\n\\n3. **Use hook-first scripting**\\n - First 1–2 seconds must contain a clear tension, identity statement, pain point, or contrarian line.\\n - Prefer one idea per video over generic “4 tips” unless the list format is the explicit series.\\n - Avoid generic advice viewers have already heard unless framed with a new angle or strong story.\\n\\n4. **Quality gate before rendering**\\n Score drafts on:\\n - hook strength\\n - novelty\\n - emotional pull\\n - clarity\\n - retention risk\\n - comment/share potential\\n - AI-slop risk\\n - platform/policy risk\\n Render only drafts above the chosen threshold, e.g. 8/10.\\n\\n5. **Visual strategy**\\n - Avoid obvious AI artifacts, fake UI text, illegible generated lettering, generic charts, and soulless stock visuals.\\n - Prefer high-contrast kinetic captions, visible hook text in first seconds, relatable B-roll, screen recordings for AI/tutorial content, and warm desk/Bible/life visuals for FaithTok.\\n - Use pattern interrupts every 2–3 seconds for retention.\\n\\n6. **Human approval loop before posting**\\n - Send preview to the user through the requested channel, usually Telegram.\\n - Include: video, title, caption, hashtags, platform recommendation, duration, quality/risk score.\\n - Wait for explicit approval such as `Freigabe alle`, `Freigabe YouTube`, `Freigabe TikTok`, `Ablehnen`, or `Ändern: ...`.\\n - Do not publish automatically unless the user has explicitly authorized that workflow.\\n\\n7. **Publish and measure**\\n Track at minimum:\\n - platform, video id/url, niche, format, hook, duration\\n - views at 2h/24h/7d\\n - likes, comments, shares, saves, follows\\n - retention metrics if available\\n Use results to generate the next batch.\\n\\n## Platform duration/monetization notes\\n\\nSee `references/monetization-and-approval-notes.md` for current working notes captured from official YouTube/TikTok docs and the recommended approval/posting setup. Re-check official docs before making business-critical decisions because platform programs change often.\\n\\n## Project/repo hygiene for automated video bots\\n\\n- Keep source code in Git; keep generated videos, assets, `.env`, OAuth tokens, API keys, and downloaded secrets out of Git.\\n- Use `.gitignore` aggressively for outputs, media caches, local credentials, and temp files.\\n- Store platform credentials as runtime secrets; never print raw tokens.\\n- Build the repo as modular components: idea generation, scripting, rendering, review, publishing, analytics.\\n\\n## Pitfalls\\n\\n- Do not over-optimize renderer quality before testing whether the content format earns retention.\\n- Do not assume TikTok monetization rules match YouTube: TikTok Creator Rewards emphasizes 1min+ eligible videos, while shorter videos may still be better for growth.\\n- Do not publish religious or health-adjacent content with overconfident claims; preserve humility, nuance, and platform safety.\\n- Do not rely on platform payout as the only monetization path; plan indirect monetization such as newsletter, templates, affiliates, digital products, or services.\", \"path\": \"social-media/social-media-shorts-automation/SKILL.md\", \"skill_dir\": \"/home/agent/.hermes/skills/social-media/social-media-shorts-automation\", \"linked_files\": {\"references\": [\"references/monetization-and-approval-notes.md\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\"}",
"tool_call_id": "call_gTFf0svdFm16Vjdwxk3ohXzR"
},
{
"role": "assistant",
"content": "",
"reasoning": "**Updating patch notes**\n\nI'm thinking I need to create a patch that incorporates my new learnings, like pausing discussions on religion when it involves AI. I should also include retention signals and the TDD repo setup pattern. Adding references is essential for clarity. Plus, I want to update my notes on monetization aspects too. It seems like I need a reference for that view, so I'll make sure to find an appropriate source to include.",
"finish_reason": "tool_calls",
"reasoning_content": "**Updating patch notes**\n\nI'm thinking I need to create a patch that incorporates my new learnings, like pausing discussions on religion when it involves AI. I should also include retention signals and the TDD repo setup pattern. Adding references is essential for clarity. Plus, I want to update my notes on monetization aspects too. It seems like I need a reference for that view, so I'll make sure to find an appropriate source to include.",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqENQoiGFVnWlW23JitEEOzyT3BbAJPvZan1V46hFZjyVogEGSn2aJUhNwfuLLWWdi6zPdsnsA08yCNnb7838PaW0SIJ_pCmzPYVzXNtYQlRH59Sl-JhfT7eDeGXHLN1mpiDtAWoPbpurRrYKx20m2sfvaOl1OuC0cjjGkTIHbYXw-Nrsk-zBlcUSNmdqaC8sMcIiBKFWiNb7_omvplliYXZxAaNf39Wh4G2yAwV4O6ndXNON0VkZRjQV4laAKOnas_5Hk8x2DvCv1pOoLVa8IlGbb91Bl9pSUpl-bsXlC6T_GUfv2NA9A80ZQuyuvGDA53yNikjJ9YDJ5SRWiz8v8iFzJ19MREzbmng99jx5tskqUBfd0IcFMR9dCApw9DhU-AqpKHxrikhZebhtdPxAwWwd6wZwfcOjD0e0nLl92cuL6c1lIIf8glmh_wg80xoCHzu7-6t6-5UEWgoQClNxft-rQ_0j83dyUbBUQhiqZH3vKVLzcLb-MTlea76CpK8zdOmk3m3E8pk3ld5NxMH1sdyVywjMwr0eJ0jRvk7fI8HTx0f6tl4VsHBMNQBrumnBCGTe4rgtRSy1a1bIYoVNYY1nC3D0OgaqItrHyo8cf2fa9JBzmBW8Q8SfxsDBFlnrLksnugyzbiJ3jTLuQGYVzZtIbi02OgMbaZlYxjwbdqUh8J4knFptwCDkpR48XZL5aYiM-ep217hFLsimvXVzou2J25fZ4TQsriwwOAhSX9AzMfrzBcmSddi2pBNOM5MnPZIf0vNnzkYjiUwWjVHlchvPYyKvXzFwioGxKnRQ83YV4wfvuVF98_gapGh5FFpbDCqCk3-1QMMLmI_997YgMtV-F5EjijsdWUQBhG4NB410CRzG1N9fhpElO57uj4RoC8WlaEzwBX388SPfUsDoiWTorOwSyndhdteldPbmxDPRXzI1NB4gUjK1I4SQB1AhcyDPEznt6vpuFkXFfuTiHdF4U9tkp7IPg9RQ3bSZUCRhDI-98C17CKd263n_EyuGxLB7cIYvOLia-p2FKXBfDTqKI8jCkw4sUlYlv1L-j1CvIsYoWPQGyY8UDVtEdqJF7otx3T9yGdCZFd9QAvu2JFp-DZgUmO-b84Ikp4_iRw1BFEPHaHIzY3uopdXurHkTdu14i",
"id": "rs_049e6b492e9f3d48016a10d42475e081919ca19a8f91ef2670",
"summary": [
{
"type": "summary_text",
"text": "**Updating patch notes**\n\nI'm thinking I need to create a patch that incorporates my new learnings, like pausing discussions on religion when it involves AI. I should also include retention signals and the TDD repo setup pattern. Adding references is essential for clarity. Plus, I want to update my notes on monetization aspects too. It seems like I need a reference for that view, so I'll make sure to find an appropriate source to include."
}
]
}
],
"tool_calls": [
{
"id": "call_kBQfzdInAHKgCbIbbBVJQSFp",
"call_id": "call_kBQfzdInAHKgCbIbbBVJQSFp",
"response_item_id": "fc_049e6b492e9f3d48016a10d4281c048191af7ffa229b548b8d",
"type": "function",
"function": {
"name": "skill_view",
"arguments": "{\"name\":\"social-media-shorts-automation\",\"file_path\":\"references/monetization-and-approval-notes.md\"}"
}
}
]
},
{
"role": "tool",
"name": "skill_view",
"content": "{\"success\": true, \"name\": \"social-media-shorts-automation\", \"file\": \"references/monetization-and-approval-notes.md\", \"content\": \"# Monetization and Approval Notes for Shorts Automation\\n\\n_Last reviewed from official/platform-facing sources during an AutoShortsBot planning session: 2026-05-22._\\n\\nThese notes are a compact working reference, not a substitute for re-checking current official docs before business-critical decisions.\\n\\n## YouTube Shorts / YouTube Partner Program\\n\\nOfficial YouTube Help notes observed:\\n\\n- Full YouTube Partner Program route via Shorts:\\n - 1,000 subscribers, and\\n - 10 million valid public Shorts views in the last 90 days.\\n- Alternative long-form route:\\n - 1,000 subscribers, and\\n - 4,000 valid public watch hours in the last 12 months.\\n- Shorts views in the Shorts feed do **not** count toward the 4,000 long-form public watch hours.\\n- Standard YouTube channels: vertical or square videos uploaded from 2024-10-15 onward that are up to 3 minutes long can be categorized as Shorts and can be monetized through Shorts revenue sharing if the channel is eligible.\\n\\n### Practical YouTube strategy\\n\\n- For early growth, test 20–35s and 35–60s videos for completion/replay.\\n- Use 60–120s/3min Shorts only when the hook and story justify the length.\\n- Upload as private/unlisted first if using an approval workflow, then publish after explicit approval.\\n- Required automation setup normally includes YouTube Data API v3, OAuth channel access, and `youtube.upload` scope.\\n\\n## TikTok Creator Rewards Program\\n\\nOfficial TikTok Creator Rewards Program Terms observed:\\n\\n- Creator Rewards availability depends on country/region; verify inside the account/app.\\n- Eligibility observed:\\n - reside in an available country and do not use a VPN/similar tool,\\n - at least 10,000 authentic followers,\\n - at least 100,000 authentic video views in total over the last 30 days before joining,\\n - account is not a Business Account,\\n - account is in good standing and complies with TikTok terms/guidelines.\\n- Reward-eligible videos observed:\\n - at least 1 minute long,\\n - at least 1,000 qualified views,\\n - not Duet/Stitch,\\n - not Photo Mode,\\n - not advertisement/paid promotion/sponsored content,\\n - original, high-quality, policy-compliant content.\\n- Qualified views are described as views of 5 seconds or more, excluding certain low-quality/ineligible views.\\n\\n### Practical TikTok strategy\\n\\n- Separate **growth clips** from **reward candidates**:\\n - Growth clips: 20–45s, fast hook/retention.\\n - Reward candidates: 61–75s or longer, built from winning formats.\\n- Check country eligibility before promising Creator Rewards monetization.\\n- Official Content Posting API may require TikTok Developer setup, OAuth, scopes such as upload/publish, and app review. A scheduler or manual posting may be faster initially.\\n\\n## Other channels\\n\\n- **Instagram Reels:** strong for lifestyle, faith, motivational and AI micro-tutorials; usually best for reach, saves, and indirect monetization rather than guaranteed platform payout.\\n- **Facebook Reels:** useful for faith/family/life-advice and older demographics; monetization depends on eligibility/program availability.\\n- **Pinterest video/Idea Pins:** good for evergreen checklists, routines, Bible verse visuals, templates; primarily indirect monetization via traffic/products.\\n- **LinkedIn video:** good for AI/productivity/work systems; not ideal for overt FaithTok unless framed professionally.\\n- **X/Twitter video:** useful for AI demos, build-in-public, threads plus videos.\\n\\n## Telegram approval loop template\\n\\nBefore publishing, send the user:\\n\\n```text\\nPreview ready:\\n- Platform(s): YouTube Shorts / TikTok / Instagram Reels\\n- Title:\\n- Duration:\\n- Niche/format:\\n- Hook:\\n- Caption:\\n- Hashtags:\\n- Quality score:\\n- Risk notes:\\nMEDIA:/absolute/path/to/video.mp4\\n\\nReply with:\\n- Freigabe alle\\n- Freigabe YouTube\\n- Freigabe TikTok\\n- Freigabe Instagram\\n- Ablehnen\\n- Ändern: \\n```\\n\\nOnly publish after explicit approval unless the user has separately authorized a fully autonomous posting policy.\\n\\n## Credentials needed for autonomous posting\\n\\n### YouTube\\n\\n- Google/YouTube channel access.\\n- YouTube Data API v3 enabled in a Google Cloud project.\\n- OAuth consent and token with upload permissions, typically `https://www.googleapis.com/auth/youtube.upload`.\\n- Channel defaults: language, country, category, made-for-kids setting, privacy default.\\n\\n### TikTok\\n\\n- TikTok Developer account/app or a trusted scheduler account.\\n- OAuth connection to the TikTok account.\\n- Publishing permissions/scopes and any required app review.\\n- Confirm whether the target country/account is eligible for Creator Rewards.\\n\\n### Instagram/Facebook\\n\\n- Instagram Professional account linked to a Facebook Page.\\n- Meta Developer app and Graph API permissions such as content publish/page access permissions.\\n- Long-lived token and app review as needed.\\n\\n## Content positioning patterns from the AutoShortsBot session\\n\\nPotential combined channel positioning:\\n\\n- “Modern life, disciplined by faith, amplified by AI.”\\n- “Faith, focus, and AI systems for a better life.”\\n\\nHigh-potential test pillars:\\n\\n1. Life Optimization: systems over motivation, anti-doomscrolling, mental reset, deliberate non-optimization.\\n2. AI Life Systems: use AI as servant not god, prompts for overload, personal JARVIS systems.\\n3. FaithTok / Christian Life: exhaustion without performance, anxiety vs scripture, algorithm vs heart, productivity theatre vs faithfulness.\\n\", \"file_type\": \".md\"}",
"tool_call_id": "call_kBQfzdInAHKgCbIbbBVJQSFp"
},
{
"role": "assistant",
"content": "",
"reasoning": "**Updating skills and references**\n\nI'm thinking I need to update my skills with some references related to retention. It seems like I should also adjust the emphasis on FaithTok in those references since the user chose to pause it. I’ll look into patching the SKILL and adding a new reference focused on retention. I should also create a support file called references/retention-led-shorts.md and then patch the SKILL pointer and workflow. Let’s make sure everything aligns!",
"finish_reason": "tool_calls",
"reasoning_content": "**Updating skills and references**\n\nI'm thinking I need to update my skills with some references related to retention. It seems like I should also adjust the emphasis on FaithTok in those references since the user chose to pause it. I’ll look into patching the SKILL and adding a new reference focused on retention. I should also create a support file called references/retention-led-shorts.md and then patch the SKILL pointer and workflow. Let’s make sure everything aligns!",
"codex_reasoning_items": [
{
"type": "reasoning",
"encrypted_content": "gAAAAABqENQ73SzkOPeczbW733tLJPLeETC4zjmSUW-D2W-WMR2WioYQ_4yHzKtVvCQrxPOe12rxlHAfnl-wtfHh1EOFITCYHLAGn1GKpx9qkh9-Ym1MfbzvEA7g6s6mxUAifHGIo9OX5A36T3guEUU04vAMs9yNOw6I3HrRTj4Gqnlu-TmiR6OHaJoEaQGmHkTTq_meKMb2Y0Cka0weMRY2npAYLP3xysIUz7sSh14-xi68w6TXrbIJCtXARHU5XyK-i1eNXp91pfaud-mSAvAeg3jNeaMMwP0Twfy6pxN5h2zpojWQ0CAX_B5Zpwq45QRSu0G-eBWigtd5-6Zm_QC5XJIz1DfH3aMxUAqsX0WSXNI2B21oZ9UPG_s0tfsdJQ-pfYNQRcnOlcMQAG8ZwjQRmIiKgL2ZotTVKl3zaFhtNVGpPd9NrbuqQYDf91Z3cTu25dhFkofR1l6Yz3AvatIGsJjJmWVmRIo7mAGrQkFbZertcMsJn6CjXhg1F2BcaUoGHpdwbh7PC35rGlzHmonYfLIKFwZ_W7ntY_8o_rkKnqw-8xf2Gur4tm_vkQZdZE-aUPCTIwm4QMSXknEWLqb_H2RcvXvk2MbUlxtn4sSlER0FTdqCPt99bviIOVbmwsyIVRBgt6aLoAwsco9Gdqi0yAqLuslowLha2lRvcVF8-vdBUlDfmeXsrEEVFRNLdecaz9PYf8HFquub4Waf7PiWGqaziICLMBYnCNx_O3GRbRfB_wxQAnCUBlIY1Oxl3ExAm9PLhKyxrTfV-8ASF-3lZiewdzMDcIlePVNhPWccQFAEL_1eNK1JkZQmTxr0CL0Uf2vu2XQl3PU11DpO_EFzY-xJ6A8yf6PEoKvxV_acK1MqjvO3ykMMap8JdMO3YuIIjopInS0Q8vPOUi7-CGhwTUcjh0HowURdL314vA7LLnGvp0YHg99fBSq-39_NA35lAgMkip2K0qROgpvrYn_aO_2e2qF3kXoeMomaOP-bmPhq3tljx-6_XFKz7twTDr7Tqiao39UnnLd0lh52CfEg5hkyQEdPcmJxLp4WQCXIfjst57VwjRG3MN7AKs_27Ul7lHTNMP4doqddfQIwU1bt4T-ffDnpNjQ7GXhJw75zCtZwZLSf288KPxVKNMncNDzzXN5-sMLKIhqE3c_eDMExt17gc-hWLJh0G092j9VX7zpxt5cH8z3gReTKBYaMr-NDWdQRQFXcTGF_gWWAiWT8TgwrXe_HiBASQ4PoiLsP1oGj1KFjecB7AF9nPtg5MZXYxcDSDJReamq-CJRp236ANSq5JZPHl_pAJCujuOhIPP2hrRJU3vzOTy4nuHPU8gec5TYXAr5O",
"id": "rs_049e6b492e9f3d48016a10d42a5ec081918b83e987f6b6b466",
"summary": [
{
"type": "summary_text",
"text": "**Updating skills and references**\n\nI'm thinking I need to update my skills with some references related to retention. It seems like I should also adjust the emphasis on FaithTok in those references since the user chose to pause it. I’ll look into patching the SKILL and adding a new reference focused on retention. I should also create a support file called references/retention-led-shorts.md and then patch the SKILL pointer and workflow. Let’s make sure everything aligns!"
}
]
}
],
"tool_calls": [
{
"id": "call_nJgxAWdsBHOjiDyL28mqO8ov",
"call_id": "call_nJgxAWdsBHOjiDyL28mqO8ov",
"response_item_id": "fc_049e6b492e9f3d48016a10d42e38288191be43b4e8989f7383",
"type": "function",
"function": {
"name": "skill_manage",
"arguments": "{\"action\":\"write_file\",\"name\":\"social-media-shorts-automation\",\"file_path\":\"references/retention-led-shorts.md\",\"file_content\":\"# Retention-Led Shorts Development Notes\\n\\nUse these notes when turning a short-form video bot from a renderer into a growth engine.\\n\\n## What tends to stop the scroll\\n\\nPrioritize ideas and scripts with these traits:\\n\\n1. **Immediate self-relevance** — the first line names a concrete situation the viewer recognizes: “If your brain has 47 tabs open...”\\n2. **Open loop** — the hook promises a specific resolution: “do this before...”, “why...”, “stop...”, “not...”, “instead...”.\\n3. **Specificity** — numbers, named platforms/tools, exact timeframes, visible objects, or concrete scenarios beat generic advice.\\n4. **Tension / contrarian angle** — challenge a common belief without cheap outrage: “You do not need more discipline. You need a smaller first step.”\\n5. **Concrete payoff** — a prompt, template, before/after, checklist, exact micro-action, or decision rule.\\n6. **Visual pattern interrupt** — a motion/change in the first 1–2 seconds; avoid static AI-art slideshows.\\n7. **Conversation trigger** — a specific comment keyword or question tied to the payoff.\\n8. **Niche authority** — recognizable viewpoint and repeated format, not broad generic life advice.\\n\\n## Practical scoring signals\\n\\nAdd or reward:\\n\\n- direct address (`you`, `your`, `du`, `dein`)\\n- open-loop words (`do this`, `before`, `why`, `stop`, `not`, `instead`)\\n- specificity markers (numbers, named tools, `minute`, `tabs`, `AI/KI`, platform names)\\n- tension or myth-busting (`not`, `without`, `stop`, `instead`)\\n- short hook (roughly <= 14 words when possible)\\n- visual energy (before/after, screen recording, timer, cards, close-up, fast cut)\\n- concrete payoff (template, prompt, calendar block, two-minute action)\\n- comment CTA (`Comment RESET`, `Comment CRITIC`, “Which app...?”)\\n\\nPenalize or reject:\\n\\n- slow intros: “In this video...”, “Today I will talk about...”\\n- generic value: “productivity tips”, “habits”, “mindset” without a concrete mechanism\\n- static slideshow / abstract background with no visual transformation\\n- unproven videos over ~90s\\n- AI-generated fake UI/text, illegible charts, or obvious “AI slop” artifacts\\n\\n## Testbatch pattern\\n\\nFor early channels, structure tests as:\\n\\n- 2–3 non-conflicting content pillars.\\n- 3 ideas per pillar.\\n- 6 growth candidates around 25–45s.\\n- 3 monetization candidates around 61–75s if TikTok Creator Rewards is relevant.\\n- Generate review drafts first, then finalize voiceover for top 3, then build shot plans, then render.\\n\\n## Example safer pillars for AI/productivity channels\\n\\nIf faith/religion creates brand or policy ambiguity, pause it and test:\\n\\n- `life_optimization` — systems over motivation, calendars, task triage, small first steps.\\n- `ai_life_systems` — AI as critic, organizer, assistant, approval-gated automation.\\n- `attention_design` — doomscrolling, defaults, phone/app environment design, algorithm incentives.\\n\\n## Voiceover finalization rules\\n\\n- Keep the hook as the exact first spoken sentence.\\n- Make 25–45s growth scripts roughly 70–110 words.\\n- Make 61–75s TikTok reward candidates roughly 140–180 words.\\n- Use plain spoken language; no academic transitions.\\n- For AI content, keep the human decision/approval moment explicit.\\n- For attention design, avoid moral panic; frame changes as defaults and incentives.\\n- Generate caption beats and production notes before rendering.\\n\"}"
}
}
]
},
{
"role": "tool",
"name": "skill_manage",
"content": "{\"success\": true, \"message\": \"File 'references/retention-led-shorts.md' written to skill 'social-media-shorts-automation'.\", \"path\": \"/home/agent/.hermes/skills/social-media/social-media-shorts-automation/references/retention-led-shorts.md\"}",
"tool_call_id": "call_nJgxAWdsBHOjiDyL28mqO8ov"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_QeaY4Ug86YVOU1jtfbvNy1yZ",
"call_id": "call_QeaY4Ug86YVOU1jtfbvNy1yZ",
"response_item_id": "fc_049e6b492e9f3d48016a10d43e5f0c819186bd05ef8e6563c5",
"type": "function",
"function": {
"name": "skill_manage",
"arguments": "{\"action\":\"patch\",\"name\":\"social-media-shorts-automation\",\"old_string\":\"3. **Use hook-first scripting**\\n - First 1–2 seconds must contain a clear tension, identity statement, pain point, or contrarian line.\\n - Prefer one idea per video over generic “4 tips” unless the list format is the explicit series.\\n - Avoid generic advice viewers have already heard unless framed with a new angle or strong story.\\n\\n4. **Quality gate before rendering**\\n Score drafts on:\",\"new_string\":\"3. **Use hook-first, retention-led scripting**\\n - First 1–2 seconds must contain a clear tension, identity statement, pain point, contrarian line, or immediate self-recognition.\\n - Prefer one idea per video over generic “4 tips” unless the list format is the explicit series.\\n - Avoid generic advice viewers have already heard unless framed with a new angle, concrete payoff, or strong story.\\n - Reward hooks with direct address, specificity, open loops, tension, and a visible payoff; reject slow intros such as “In this video...”.\\n - See `references/retention-led-shorts.md` for scoring signals, penalties, and voiceover finalization rules.\\n\\n4. **Quality gate before rendering**\\n Score drafts on:\"}"
}
}
]
},
{
"role": "tool",
"name": "skill_manage",
"content": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'social-media-shorts-automation' (1 replacement).\"}",
"tool_call_id": "call_QeaY4Ug86YVOU1jtfbvNy1yZ"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_sV33G39urjCdsF5NHzQCbEqk",
"call_id": "call_sV33G39urjCdsF5NHzQCbEqk",
"response_item_id": "fc_049e6b492e9f3d48016a10d4466c388191b66e8ebc9c5f4c84",
"type": "function",
"function": {
"name": "skill_manage",
"arguments": "{\"action\":\"patch\",\"name\":\"social-media-shorts-automation\",\"new_string\":\"5. **Visual strategy**\\n - Avoid obvious AI artifacts, fake UI text, illegible generated lettering, generic charts, and soulless stock visuals.\\n - Prefer high-contrast kinetic captions, visible hook text in first seconds, relatable B-roll, screen recordings for AI/tutorial content, phone/screen close-ups, before/after transformations, cards, and timer visuals.\\n - Use pattern interrupts every 2–3 seconds for retention.\\n - Before rendering, generate a shot plan from the finalized voiceover: first-frame hook, pattern interrupt, core explanation, screen/card visual, CTA, caption beats, and asset type.\\n\\n6. **Human approval loop before posting**\",\"old_string\":\"5. **Visual strategy**\\n - Avoid obvious AI artifacts, fake UI text, illegible generated lettering, generic charts, and soulless stock visuals.\\n - Prefer high-contrast kinetic captions, visible hook text in first seconds, relatable B-roll, screen recordings for AI/tutorial content, and warm desk/Bible/life visuals for FaithTok.\\n - Use pattern interrupts every 2–3 seconds for retention.\\n\\n6. **Human approval loop before posting**\"}"
}
}
]
},
{
"role": "tool",
"name": "skill_manage",
"content": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'social-media-shorts-automation' (1 replacement).\"}",
"tool_call_id": "call_sV33G39urjCdsF5NHzQCbEqk"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_EoQ3rcxQ5zSKwnZiixYvAvdU",
"call_id": "call_EoQ3rcxQ5zSKwnZiixYvAvdU",
"response_item_id": "fc_049e6b492e9f3d48016a10d465eb988191975cc0c61cfcaf4d",
"type": "function",
"function": {
"name": "skill_manage",
"arguments": "{\"action\":\"patch\",\"name\":\"social-media-shorts-automation\",\"new_string\":\"## Sensitive-content positioning\\n\\nWhen AI/productivity automation is the primary brand, be cautious about mixing in religious/FaithTok, health, finance, or other high-trust themes. If the user flags the combination as sensitive, pause that pillar rather than forcing it into the same testbatch. Replace it with a safer adjacent pillar (for example `attention_design`) and document the paused pillar in config so it can be revisited only with explicit approval and a separate brand strategy.\\n\\n## Pitfalls\\n\\n- Do not over-optimize renderer quality before testing whether the content format earns retention.\",\"old_string\":\"## Pitfalls\\n\\n- Do not over-optimize renderer quality before testing whether the content format earns retention.\"}"
}
}
]
},
{
"role": "tool",
"name": "skill_manage",
"content": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'social-media-shorts-automation' (1 replacement).\"}",
"tool_call_id": "call_EoQ3rcxQ5zSKwnZiixYvAvdU"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_KqOZj7q5nZspccrRWb0Tqq13",
"call_id": "call_KqOZj7q5nZspccrRWb0Tqq13",
"response_item_id": "fc_049e6b492e9f3d48016a10d46b403081919582b727c7e3d85b",
"type": "function",
"function": {
"name": "skill_manage",
"arguments": "{\"action\":\"patch\",\"name\":\"social-media-shorts-automation\",\"new_string\":\"## Platform duration/monetization notes\\n\\nSee `references/monetization-and-approval-notes.md` for current working notes captured from official YouTube/TikTok docs and the recommended approval/posting setup. See `references/retention-led-shorts.md` for retention scoring signals, no-faith/adjacent-pillar handling, and voiceover finalization rules. Re-check official docs before making business-critical decisions because platform programs change often.\",\"old_string\":\"## Platform duration/monetization notes\\n\\nSee `references/monetization-and-approval-notes.md` for current working notes captured from official YouTube/TikTok docs and the recommended approval/posting setup. Re-check official docs before making business-critical decisions because platform programs change often.\"}"
}
}
]
},
{
"role": "tool",
"name": "skill_manage",
"content": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'social-media-shorts-automation' (1 replacement).\"}",
"tool_call_id": "call_KqOZj7q5nZspccrRWb0Tqq13"
},
{
"role": "assistant",
"content": "",
"reasoning": null,
"finish_reason": "tool_calls",
"tool_calls": [
{
"id": "call_CvZsoUZO6SuN7lLYpXQ230Y3",
"call_id": "call_CvZsoUZO6SuN7lLYpXQ230Y3",
"response_item_id": "fc_049e6b492e9f3d48016a10d4717de88191a6a86703484aaeed",
"type": "function",
"function": {
"name": "skill_manage",
"arguments": "{\"action\":\"patch\",\"name\":\"social-media-shorts-automation\",\"file_path\":\"references/monetization-and-approval-notes.md\",\"old_string\":\"## Content positioning patterns from the AutoShortsBot session\\n\\nPotential combined channel positioning:\\n\\n- “Modern life, disciplined by faith, amplified by AI.”\\n- “Faith, focus, and AI systems for a better life.”\\n\\nHigh-potential test pillars:\\n\\n1. Life Optimization: systems over motivation, anti-doomscrolling, mental reset, deliberate non-optimization.\\n2. AI Life Systems: use AI as servant not god, prompts for overload, personal JARVIS systems.\\n3. FaithTok / Christian Life: exhaustion without performance, anxiety vs scripture, algorithm vs heart, productivity theatre vs faithfulness.\\n\",\"new_string\":\"## Content positioning patterns from the AutoShortsBot session\\n\\nInitial candidate pillars included Life Optimization, AI Life Systems, and FaithTok / Christian Life. The user later paused religious topics because mixing faith and AI felt brand-sensitive. Treat that as an important workflow pattern: when a high-trust pillar creates ambiguity, pause it and switch to a safer adjacent pillar rather than forcing mixed positioning.\\n\\nSafer first-test pillars for an AI/productivity channel:\\n\\n1. Life Optimization: systems over motivation, to-do triage, calendar honesty, small first steps.\\n2. AI Life Systems: AI as critic, organizer, prompt-based structure, approval-gated personal assistants.\\n3. Attention Design: anti-doomscrolling, phone/app defaults, feed incentives, greyscale/home-screen/environment design.\\n\\nPotential later positioning if faith is intentionally separated into its own brand/channel:\\n\\n- “Faith, focus, and AI systems for a better life.”\\n- “Modern life, disciplined by faith, amplified by AI.”\\n\"}"
}
}
]
},
{
"role": "tool",
"name": "skill_manage",
"content": "{\"success\": true, \"message\": \"Patched references/monetization-and-approval-notes.md in skill 'social-media-shorts-automation' (1 replacement).\"}",
"tool_call_id": "call_CvZsoUZO6SuN7lLYpXQ230Y3"
},
{
"role": "assistant",
"content": "Skill-Library aktualisiert.\n\n## Aktualisierte Skill\n\n- `social-media-shorts-automation`\n\n## Änderungen\n\n- Neue Referenzdatei ergänzt:\n - `references/retention-led-shorts.md`\n\n- `SKILL.md` erweitert um:\n - retention-led Hook-/Script-Regeln\n - explizite Ablehnung langsamer Intros wie “In this video...”\n - Shot-Plan-Schritt vor Rendering\n - Umgang mit sensiblen Content-Mischungen wie Religion + AI\n - Hinweis auf neue Retention-Referenz\n\n- Bestehende Referenz aktualisiert:\n - `references/monetization-and-approval-notes.md`\n - FaithTok nicht mehr als Standard-Testpfeiler, sondern als pausierter/sensibler Contentbereich\n - `attention_design` als sichere Ersatzsäule für AI/Productivity-Kanäle ergänzt\n\n## Wichtigste gespeicherte Learnings\n\n- Shorts-Bots sollen zuerst **Retention Engineering** betreiben, nicht Rendering perfektionieren.\n- Starke Shorts brauchen:\n - immediate self-relevance\n - open loop\n - specificity\n - tension\n - concrete payoff\n - visual pattern interrupt\n - conversation trigger\n- Faith/religiöse Themen sollten bei AI/Productivity nicht automatisch gemischt werden; bei Unsicherheit pausieren und ggf. separat strategisch behandeln.\n- Vor Rendering erst:\n 1. Testbatch\n 2. Review Drafts\n 3. Voiceover Finalizer\n 4. Shot Plan\n 5. Preview/Telegram-Freigabe\n 6. erst dann Publishing\n\nDamit ist die Session als wiederverwendbares Klassenwissen im passenden Umbrella-Skill verankert.",
"reasoning": null,
"finish_reason": "stop",
"codex_message_items": [
{
"type": "message",
"role": "assistant",
"status": "completed",
"content": [
{
"type": "output_text",
"text": "Skill-Library aktualisiert.\n\n## Aktualisierte Skill\n\n- `social-media-shorts-automation`\n\n## Änderungen\n\n- Neue Referenzdatei ergänzt:\n - `references/retention-led-shorts.md`\n\n- `SKILL.md` erweitert um:\n - retention-led Hook-/Script-Regeln\n - explizite Ablehnung langsamer Intros wie “In this video...”\n - Shot-Plan-Schritt vor Rendering\n - Umgang mit sensiblen Content-Mischungen wie Religion + AI\n - Hinweis auf neue Retention-Referenz\n\n- Bestehende Referenz aktualisiert:\n - `references/monetization-and-approval-notes.md`\n - FaithTok nicht mehr als Standard-Testpfeiler, sondern als pausierter/sensibler Contentbereich\n - `attention_design` als sichere Ersatzsäule für AI/Productivity-Kanäle ergänzt\n\n## Wichtigste gespeicherte Learnings\n\n- Shorts-Bots sollen zuerst **Retention Engineering** betreiben, nicht Rendering perfektionieren.\n- Starke Shorts brauchen:\n - immediate self-relevance\n - open loop\n - specificity\n - tension\n - concrete payoff\n - visual pattern interrupt\n - conversation trigger\n- Faith/religiöse Themen sollten bei AI/Productivity nicht automatisch gemischt werden; bei Unsicherheit pausieren und ggf. separat strategisch behandeln.\n- Vor Rendering erst:\n 1. Testbatch\n 2. Review Drafts\n 3. Voiceover Finalizer\n 4. Shot Plan\n 5. Preview/Telegram-Freigabe\n 6. erst dann Publishing\n\nDamit ist die Session als wiederverwendbares Klassenwissen im passenden Umbrella-Skill verankert."
}
],
"id": "msg_049e6b492e9f3d48016a10d47b8fa08191a7163e0aaf4cd51c",
"phase": "final_answer"
}
]
}
]
}