Need copy into project, create contact sheet. Use vision.

from hermes_tools import terminal
from pathlib import Path
import shutil, json, hashlib
from PIL import Image, ImageDraw, ImageFont
srcs=[
'/home/agent/.hermes/cache/images/openai_codex_gpt-image-2-high_20260525_212455_4599c3b1.png',
'/home/agent/.hermes/cache/images/openai_codex_gpt-image-2-high_20260525_212527_9ffc9bc8.png',
'/home/agent/.hermes/cache/images/openai_codex_gpt-image-2-high_20260525_212617_d824a765.png']
base=Path('/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/visual_upgrade_v1')
ai=base/'ai_keyframes'; ai.mkdir(parents=True, exist_ok=True)
items=[]
for i,s in enumerate(srcs,1):
    p=Path(s); dst=ai/f'ai_background_{i:02d}_openai_codex_gpt-image-2-high.png'
    shutil.copy2(p,dst)
    im=Image.open(dst)
    h=hashlib.sha256(dst.read_bytes()).hexdigest()
    items.append({'index':i,'path':str(dst),'sha256':h,'resolution':f'{im.width}x{im.height}','provider':'openai-codex','model':'gpt-image-2-high','quality':'high'})
# contact sheet
thumbs=[]
for item in items:
    im=Image.open(item['path']).convert('RGB')
    im.thumbnail((330,495))
    canvas=Image.new('RGB',(360,560),(12,16,24))
    x=(360-im.width)//2; y=35
    canvas.paste(im,(x,y))
    d=ImageDraw.Draw(canvas)
    d.text((16,12),f"AI BG {item['index']:02d}",fill=(247,202,76))
    d.text((16,520),item['resolution'],fill=(220,225,235))
    thumbs.append(canvas)
sheet=Image.new('RGB',(1080,560),(12,16,24))
for idx,t in enumerate(thumbs): sheet.paste(t,(idx*360,0))
contact=base/'ai_keyframes_contact_sheet_v1.jpg'
sheet.save(contact,quality=92)
manifest={'generated_keyframes':items,'contact_sheet':str(contact)}
(base/'ai_keyframes_manifest_v1.json').write_text(json.dumps(manifest,indent=2),encoding='utf-8')
print(json.dumps(manifest,indent=2))


Output:
{
  "generated_keyframes": [
    {
      "index": 1,
      "path": "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/visual_upgrade_v1/ai_keyframes/ai_background_01_openai_codex_gpt-image-2-high.png",
      "sha256": "d503cbf6d93975da8680001856e3f23e32ed89b9ca0095e508a9bcfbca57fc10",
      "resolution": "1024x1536",
      "provider": "openai-codex",
      "model": "gpt-image-2-high",
      "quality": "high"
    },
    {
      "index": 2,
      "path": "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/visual_upgrade_v1/ai_keyframes/ai_background_02_openai_codex_gpt-image-2-high.png",
      "sha256": "2dcc2a9c18d59ed69c21feb3cf4c4a63ee6c306ab0e9b1b7343ad6d67ef4bafd",
      "resolution": "1024x1536",
      "provider": "openai-codex",
      "model": "gpt-image-2-high",
      "quality": "high"
    },
    {
      "index": 3,
      "path": "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/visual_upgrade_v1/ai_keyframes/ai_background_03_openai_codex_gpt-image-2-high.png",
      "sha256": "b3aa7962f62f15c92db523a6e6cf21626c5ea7f210592666be549457c7dd788f",
      "resolution": "1024x1536",
      "provider": "openai-codex",
      "model": "gpt-image-2-high",
      "quality": "high"
    }
  ],
  "contact_sheet": "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/visual_upgrade_v1/ai_keyframes_contact_sheet_v1.jpg"
}


Question: Inspect these three AI background keyframes for a cybersecurity/calendar-invite Proof Short. Which are safe to use as subordinate text-free backgrounds? Reject any with readable text, pseudo-text, logos, QR/barcodes, people/hands, overly busy elements, or UI/factual content.


Image loaded into your context — you can see it natively now. Use your built-in vision to answer the user.

Question: Inspect these three AI background keyframes for a cybersecurity/calendar-invite Proof Short. Which are safe to use as subordinate text-free backgrounds? Reject any with readable text, pseudo-text, logos, QR/barcodes, people/hands, overly busy elements, or UI/factual content.


Explanation:
**Planning Python script adjustments**

I’m considering writing a Python program that replaces an existing script with new paths and functions. I need to ensure I import Image, ImageDraw, ImageFont, and ImageFilter. The approach might include copying the original script and making necessary replacements without having to regenerate the TTS. It’s important to avoid overwriting previous outputs, setting the OUT path to visual_upgrade_v1 while ensuring the proper image paths are maintained. Let’s focus on these Python script transformations!

from pathlib import Path
src=Path('/tmp/autoshorts_proof_short_sprint31/render_calendar_invite_preview_v1.py')
dst=Path('/tmp/autoshorts_proof_short_sprint31/render_calendar_invite_visual_upgrade_v1.py')
s=src.read_text()
s=s.replace('from PIL import Image, ImageDraw, ImageFont','from PIL import Image, ImageDraw, ImageFont, ImageFilter, ImageEnhance')
s=s.replace("OUT = BASE / 'preview_v1_word_aligned'", "OUT = BASE / 'visual_upgrade_v1'")
s=s.replace("VERSION = 'v1.0.0-word-aligned-proof'", "VERSION = 'v1.1.0-ai-background-visual-upgrade'")
s=s.replace("def bg(draw, t):\n    # dark blue premium-ish deterministic background, not AI-generated\n    draw.rectangle((0, 0, W, H), fill=(10, 14, 24))\n    for y in range(0, H, 4):\n        c = int(16 + 26 * y / H)\n        draw.line((0, y, W, y), fill=(c, c + 5, c + 15))\n    # moving soft glow\n    cx = 220 + int(60 * math.sin(t * 0.7))\n    cy = 300 + int(45 * math.cos(t * 0.45))\n    for r, a in [(360, 22), (250, 20), (160, 18)]:\n        draw.ellipse((cx-r, cy-r, cx+r, cy+r), fill=(35, 75, 145, a))\n    draw.rectangle((0, 0, W, H), outline=(38, 49, 74), width=8)\n", r"""AI_BG_PATHS = [
    BASE / 'visual_upgrade_v1/ai_keyframes/ai_background_01_openai_codex_gpt-image-2-high.png',
    BASE / 'visual_upgrade_v1/ai_keyframes/ai_background_03_openai_codex_gpt-image-2-high.png',
]
AI_BACKGROUNDS = []

def load_ai_backgrounds():
    global AI_BACKGROUNDS
    if AI_BACKGROUNDS:
        return AI_BACKGROUNDS
    for p in AI_BG_PATHS:
        im = Image.open(p).convert('RGB')
        # cover-crop to 9:16 then resize to video
        target_ratio = W / H
        ratio = im.width / im.height
        if ratio > target_ratio:
            new_w = int(im.height * target_ratio)
            left = (im.width - new_w) // 2
            im = im.crop((left, 0, left + new_w, im.height))
        else:
            new_h = int(im.width / target_ratio)
            top = (im.height - new_h) // 2
            im = im.crop((0, top, im.width, top + new_h))
        im = im.resize((W, H), Image.Resampling.LANCZOS)
        im = im.filter(ImageFilter.GaussianBlur(radius=3.2))
        im = ImageEnhance.Color(im).enhance(0.78)
        im = ImageEnhance.Brightness(im).enhance(0.58)
        AI_BACKGROUNDS.append(im)
    return AI_BACKGROUNDS

def bg_base(t):
    bgs = load_ai_backgrounds()
    # scene switches between two safe AI atmospheres; tiny push simulated by overlay gradients.
    idx = 0 if t < 23.0 else 1
    im = bgs[idx].copy()
    d = ImageDraw.Draw(im, 'RGBA')
    # navy readability veil; keeps deterministic UI/captions source of truth.
    d.rectangle((0, 0, W, H), fill=(5, 9, 18, 104))
    # lower caption readability gradient
    d.rectangle((0, 1240, W, H), fill=(5, 8, 15, 104))
    # subtle moving glow for motion continuity
    cx = 220 + int(70 * math.sin(t * 0.55))
    cy = 315 + int(50 * math.cos(t * 0.35))
    for r, a in [(360, 20), (230, 18)]:
        d.ellipse((cx-r, cy-r, cx+r, cy+r), fill=(38, 84, 165, a))
    d.rectangle((0, 0, W, H), outline=(38, 49, 74), width=8)
    return im

def bg(draw, t):
    # Kept for compatibility; actual background is pasted before drawing overlays.
    draw.rectangle((0, 0, W, H), fill=(10, 14, 24))
""")
s=s.replace("    img = Image.new('RGB', (W, H), (10, 14, 24))\n    draw = ImageDraw.Draw(img, 'RGBA')\n    bg(draw, t)\n", "    img = bg_base(t)\n    draw = ImageDraw.Draw(img, 'RGBA')\n")
s=s.replace("'visual_plan': [", "'visual_upgrade_mode': 'ai_background_plus_deterministic_mockups',\n        'ai_backgrounds_used': [str(p) for p in AI_BG_PATHS],\n        'visual_plan': [")
s=s.replace("'ai_disclosure': 'no realistic AI people/scenes; deterministic mockups and EdgeTTS voice',", "'ai_disclosure': 'AI text-free atmospheric backgrounds used; deterministic mockups/captions own all factual UI and text',")
dst.write_text(s)
print(dst)


todo

2–3 textfreie Premium-KI-Hintergrundbilder für Calendar-Invite-Short erzeugen

KI-Keyframes per Contact Sheet prüfen und ungeeignete Frames verwerfen

Renderer auf AI Background + deterministische UI/Captions umbauen und MP4 rendern


Visual QA, ffprobe, SHA256, Manifest/Review Package erzeugen

Optimierte Preview + Contact Sheets an User liefern


terminal

Output:
ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers
  built with gcc 13 (Ubuntu 13.2.0-23ubuntu3)
  configuration: --prefix=/usr --extra-version=3ubuntu5 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --disable-omx --enable-gnutls --enable-libaom --enable-libass --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libdav1d --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libglslang --enable-libgme --enable-libgsm --enable-libharfbuzz --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzimg --enable-openal --enable-opencl --enable-opengl --disable-sndio --enable-libvpl --disable-libmfx --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-ladspa --enable-libbluray --enable-libjack --enable-libpulse --enable-librabbitmq --enable-librist --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libx264 --enable-libzmq --enable-libzvbi --enable-lv2 --enable-sdl2 --enable-libplacebo --enable-librav1e --enable-pocketsphinx --enable-librsvg --enable-libjxl --enable-shared
  libavutil      58. 29.100 / 58. 29.100
  libavcodec     60. 31.102 / 60. 31.102
  libavformat    60. 16.100 / 60. 16.100
  libavdevice    60.  3.100 / 60.  3.100
  libavfilter     9. 12.100 /  9. 12.100
  libswscale      7.  5.100 /  7.  5.100
  libswresample   4. 12.100 /  4. 12.100
  libpostproc    57.  3.100 / 57.  3.100
Input #0, rawvideo, from 'fd:':
  Duration: N/A, start: 0.000000, bitrate: 1194393 kb/s
  Stream #0:0: Video: rawvideo (RGB[24] / 0x18424752), rgb24, 1080x1920, 1194393 kb/s, 24 tbr, 24 tbn
Stream mapping:
  Stream #0:0 -> #0:0 (rawvideo (native) -> h264 (libx264))
[libx264 @ 0x609376e0e3c0] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2 AVX512
[libx264 @ 0x609376e0e3c0] profile High, level 4.0, 4:2:0, 8-bit
[libx264 @ 0x609376e0e3c0] 264 - core 164 r3108 31e19f9 - H.264/MPEG-4 AVC codec - Copyleft 2003-2023 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=9 lookahead_threads=1 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=24 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=20.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00
Output #0, mp4, to '/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/visual_upgrade_v1/calendar-invite-login-trap-30s_preview_v1_word_aligned_silent.mp4':
  Metadata:
    encoder         : Lavf60.16.100
  Stream #0:0: Video: h264 (avc1 / 0x31637661), yuv420p(tv, progressive), 1080x1920, q=2-31, 24 fps, 12288 tbn
    Metadata:
      encoder         : Lavc60.31.102 libx264
    Side data:
      cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A
frame=    0 fps=0.0 q=0.0 size=       0kB time=N/A bitrate=N/A speed=N/A
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frame=    0 fps=0.0 q=0.0 size=       0kB time=N/A bitrate=N/A speed=N/A
frame=    1 fps=0.4 q=25.0 size=       0kB time=-00:00:00.04 bitrate=N/A speed=N/A
frame=   11 fps=3.5 q=25.0 size=       0kB time=00:00:00.37 bitrate=   1.0kbits/s speed=0.12x
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frame=  757 fps= 19 q=25.0 size=     768kB time=00:00:31.45 bitrate= 200.0kbits/s speed=0.776x
frame=  768 fps= 19 q=25.0 size=     768kB time=00:00:31.91 bitrate= 197.1kbits/s speed=0.777x
frame=  779 fps= 19 q=25.0 size=     768kB time=00:00:32.37 bitrate= 194.3kbits/s speed=0.778x
frame=  790 fps= 19 q=25.0 size=     768kB time=00:00:32.83 bitrate= 191.6kbits/s speed=0.779x
frame=  801 fps= 19 q=25.0 size=     768kB time=00:00:33.29 bitrate= 189.0kbits/s speed=0.78x
frame=  811 fps= 19 q=25.0 size=     768kB time=00:00:33.70 bitrate= 186.7kbits/s speed=0.78x
frame=  826 fps= 19 q=25.0 size=     768kB time=00:00:34.29 bitrate= 183.5kbits/s speed=0.785x
frame=  838 fps= 19 q=25.0 size=    1024kB time=00:00:34.83 bitrate= 240.8kbits/s speed=0.787x
frame=  851 fps= 19 q=25.0 size=    1024kB time=00:00:35.37 bitrate= 237.1kbits/s speed=0.791x
frame=  865 fps= 19 q=25.0 size=    1024kB time=00:00:35.95 bitrate= 233.3kbits/s speed=0.794x
frame=  879 fps= 19 q=25.0 size=    1024kB time=00:00:36.54 bitrate= 229.6kbits/s speed=0.798x
frame=  892 fps= 19 q=25.0 size=    1024kB time=00:00:37.08 bitrate= 226.2kbits/s speed=0.801x
frame=  906 fps= 19 q=25.0 size=    1024kB time=00:00:37.66 bitrate= 222.7kbits/s speed=0.804x
frame=  921 fps= 19 q=25.0 size=    1024kB time=00:00:38.29 bitrate= 219.1kbits/s speed=0.808x
frame=  937 fps= 20 q=25.0 size=    1024kB time=00:00:38.95 bitrate= 215.3kbits/s speed=0.813x
frame=  951 fps= 20 q=25.0 size=    1024kB time=00:00:39.54 bitrate= 212.2kbits/s speed=0.817x
[out#0/mp4 @ 0x609376e0cd00] video:1242kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 1.015990%
frame= 1005 fps= 21 q=-1.0 Lsize=    1255kB time=00:00:41.75 bitrate= 246.2kbits/s speed=0.858x
[libx264 @ 0x609376e0e3c0] frame I:5     Avg QP: 9.56  size: 83629
[libx264 @ 0x609376e0e3c0] frame P:253   Avg QP:14.90  size:  2660
[libx264 @ 0x609376e0e3c0] frame B:747   Avg QP:21.49  size:   241
[libx264 @ 0x609376e0e3c0] consecutive B-frames:  0.9%  0.0%  0.0% 99.1%
[libx264 @ 0x609376e0e3c0] mb I  I16..4: 49.7% 30.5% 19.9%
[libx264 @ 0x609376e0e3c0] mb P  I16..4:  0.4%  0.4%  0.3%  P16..4:  1.7%  0.4%  0.2%  0.0%  0.0%    skip:96.7%
[libx264 @ 0x609376e0e3c0] mb B  I16..4:  0.0%  0.0%  0.0%  B16..8:  1.8%  0.0%  0.0%  direct: 0.0%  skip:98.2%  L0:51.9% L1:48.0% BI: 0.1%
[libx264 @ 0x609376e0e3c0] 8x8 transform intra:34.8% inter:56.0%
[libx264 @ 0x609376e0e3c0] coded y,uvDC,uvAC intra: 24.4% 41.9% 35.7% inter: 0.1% 0.1% 0.1%
[libx264 @ 0x609376e0e3c0] i16 v,h,dc,p: 71% 26%  1%  2%
[libx264 @ 0x609376e0e3c0] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 31% 18% 34%  2%  2%  2%  4%  2%  3%
[libx264 @ 0x609376e0e3c0] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 41% 24% 13%  3%  4%  4%  5%  3%  3%
[libx264 @ 0x609376e0e3c0] i8c dc,h,v,p: 59% 24% 15%  3%
[libx264 @ 0x609376e0e3c0] Weighted P-Frames: Y:0.0% UV:0.0%
[libx264 @ 0x609376e0e3c0] ref P L0: 75.9%  2.5% 15.7%  5.9%
[libx264 @ 0x609376e0e3c0] ref B L0: 54.9% 44.1%  1.0%
[libx264 @ 0x609376e0e3c0] ref B L1: 95.3%  4.7%
[libx264 @ 0x609376e0e3c0] kb/s:242.83
ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers
  built with gcc 13 (Ubuntu 13.2.0-23ubuntu3)
  configuration: --prefix=/usr --extra-version=3ubuntu5 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --disable-omx --enable-gnutls --enable-libaom --enable-libass --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libdav1d --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libglslang --enable-libgme --enable-libgsm --enable-libharfbuzz --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzimg --enable-openal --enable-opencl --enable-opengl --disable-sndio --enable-libvpl --disable-libmfx --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-ladspa --enable-libbluray --enable-libjack --enable-libpulse --enable-librabbitmq --enable-librist --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libx264 --enable-libzmq --enable-libzvbi --enable-lv2 --enable-sdl2 --enable-libplacebo --enable-librav1e --enable-pocketsphinx --enable-librsvg --enable-libjxl --enable-shared
  libavutil      58. 29.100 / 58. 29.100
  libavcodec     60. 31.102 / 60. 31.102
  libavformat    60. 16.100 / 60. 16.100
  libavdevice    60.  3.100 / 60.  3.100
  libavfilter     9. 12.100 /  9. 12.100
  libswscale      7.  5.100 /  7.  5.100
  libswresample   4. 12.100 /  4. 12.100
  libpostproc    57.  3.100 / 57.  3.100
Input #0, mov,mp4,m4a,3gp,3g2,mj2, from '/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/visual_upgrade_v1/calendar-invite-login-trap-30s_preview_v1_word_aligned_silent.mp4':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf60.16.100
  Duration: 00:00:41.88, start: 0.000000, bitrate: 245 kb/s
  Stream #0:0[0x1](und): Video: h264 (High) (avc1 / 0x31637661), yuv420p(progressive), 1080x1920, 242 kb/s, 24 fps, 24 tbr, 12288 tbn (default)
    Metadata:
      handler_name    : VideoHandler
      vendor_id       : [0][0][0][0]
      encoder         : Lavc60.31.102 libx264
[mp3 @ 0x57a2ff79e200] Estimating duration from bitrate, this may be inaccurate
Input #1, mp3, from '/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/audio/voiceover_word_boundary.mp3':
  Duration: 00:00:41.35, start: 0.000000, bitrate: 48 kb/s
  Stream #1:0: Audio: mp3, 24000 Hz, mono, fltp, 48 kb/s
Stream mapping:
  Stream #0:0 -> #0:0 (copy)
  Stream #1:0 -> #0:1 (mp3 (mp3float) -> aac (native))
Press [q] to stop, [?] for help
Output #0, mp4, to '/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/visual_upgrade_v1/calendar-invite-login-trap-30s_preview_v1_word_aligned.mp4':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf60.16.100
  Stream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p(progressive), 1080x1920, q=2-31, 242 kb/s, 24 fps, 24 tbr, 12288 tbn (default)
    Metadata:
      handler_name    : VideoHandler
      vendor_id       : [0][0][0][0]
      encoder         : Lavc60.31.102 libx264
  Stream #0:1: Audio: aac (LC) (mp4a / 0x6134706D), 24000 Hz, mono, fltp, 69 kb/s
    Metadata:
      encoder         : Lavc60.31.102 aac
size=       0kB time=N/A bitrate=N/A speed=N/A
size=    1024kB time=00:00:33.87 bitrate= 247.6kbits/s speed=67.7x
[out#0/mp4 @ 0x57a2ff79eb00] video:1242kB audio:321kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 1.606821%
size=    1588kB time=00:00:41.75 bitrate= 311.5kbits/s speed=  71x
[aac @ 0x57a2ff71f000] Qavg: 17882.781
{
  "ok": true,
  "manifest": {
    "candidate_id": "calendar-invite-login-trap-30s",
    "version": "v1.1.0-ai-background-visual-upgrade",
    "series": "Digital Red Flags",
    "title": "The calendar invite login trap",
    "script": "This calendar invite looks normal. The trap is the login button. Same meeting title. Same urgent tone. But the link points somewhere else. Before you sign in, slow down. Check who sent it. Check the link domain. Notice unusual login requests. If the domain feels off, do not sign in from the invite. That means: close the invite. Open your calendar or work app from the icon or bookmark you normally use. If the meeting is real, it will still be there. The rule: trust the path you chose, not the button that chose you.",
    "script_hash": "0e9ec7f162b69573",
    "preview_mp4_path": "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/visual_upgrade_v1/calendar-invite-login-trap-30s_preview_v1_word_aligned.mp4",
    "preview_sha256": "4b6950d17237f449fb24134ca2f6131c37d916a982cdee335f745e3fd9b70edb",
    "silent_mp4_path": "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/visual_upgrade_v1/calendar-invite-login-trap-30s_preview_v1_word_aligned_silent.mp4",
    "audio_path": "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/audio/voiceover_word_boundary.mp3",
    "audio_sha256": "77c875c19c1197426f2023af3dc5cdf866fba76ffee20bcfa021236aa5665376",
    "word_cues_path": "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/audio/word_cues.json",
    "caption_segments_path": "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/visual_upgrade_v1/caption_segments_word_aligned.json",
    "contact_sheet_path": "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/visual_upgrade_v1/calendar-invite-login-trap_contact_sheet_v1.jpg",
    "subtitle_preview_path": "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/visual_upgrade_v1/calendar-invite-login-trap_subtitle_style_preview_v1.jpg",
    "qa_summary_path": "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/visual_upgrade_v1/qa_summary_preview_v1.json",
    "duration_seconds": 41.852,
    "resolution": "1080x1920",
    "fps": 24,
    "caption_policy": "static 3-7 word phrase segments with active spoken word highlight from EdgeTTS word boundaries",
    "blocked": {
      "wan": true,
      "i2v": true,
      "platform_api": true,
      "posting": true,
      "scheduling": true
    }
  },
  "review_package": "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/review_package_v1_word_aligned.json"
}


Need create review package fields? Script overwrote review package in base name maybe with visual fields. Need make manifest includes used/discarded. Need QA vision.

Question: QA for final visual-upgrade contact sheet: Are captions readable and safe? Are deterministic calendar/login mockups still clear? Are AI backgrounds subordinate/premium, without readable text/logos/QR/people? Is the final solution visible?


Image loaded into your context — you can see it natively now. Use your built-in vision to answer the user.

Question: QA for final visual-upgrade contact sheet: Are captions readable and safe? Are deterministic calendar/login mockups still clear? Are AI backgrounds subordinate/premium, without readable text/logos/QR/people? Is the final solution visible?


     1|{
     2|  "caption_sync_source": "edge_tts_word_boundary_offsets",
     3|  "static_phrase_active_word": true,
     4|  "min_words_default": 3,
     5|  "target_words": 5,
     6|  "max_words": 7,
     7|  "one_word_segments": [],
     8|  "one_word_segment_count": 0,
     9|  "duration_seconds": 41.852,
    10|  "audio_duration_seconds": 41.352,
    11|  "word_cue_count": 95,
    12|  "segment_count": 20,
    13|  "safe_zone": "bottom caption, no box/bar, tested via contact sheet",
    14|  "summary_fazit_present": true,
    15|  "final_solution": "Close the invite; open the calendar/work app via the normal icon or trusted bookmark; if the meeting is real, it will still be there."
    16|}


Output:
{
    "programs": [

    ],
    "streams": [
        {
            "codec_type": "video",
            "width": 1080,
            "height": 1920,
            "r_frame_rate": "24/1"
        },
        {
            "codec_type": "audio",
            "r_frame_rate": "0/0"
        }
    ],
    "format": {
        "duration": "41.875000",
        "size": "1625701"
    }
}
4b6950d17237f449fb24134ca2f6131c37d916a982cdee335f745e3fd9b70edb  /tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/visual_upgrade_v1/calendar-invite-login-trap-30s_preview_v1_word_aligned.mp4


Explanation:
**Creating manifest and reviewing package**

I've noticed the vision shows okay, but there’s a caption at the bottom that says "that chose you." I might need to make a note of that. I should create a manifest and review package for what’s used and discarded. I think I’ll use the write_file or execute_code tools for this task. Perhaps I should rename the MP4 file to something like visual_upgrade? I could create a manifest and review package for visual upgrade as well.

from pathlib import Path
import json, hashlib
from PIL import Image
base=Path('/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s')
out=base/'visual_upgrade_v1'
mp4=out/'calendar-invite-login-trap-30s_preview_v1_word_aligned.mp4'
ai_manifest=json.loads((out/'ai_keyframes_manifest_v1.json').read_text())
used=[ai_manifest['generated_keyframes'][0], ai_manifest['generated_keyframes'][2]]
discarded=[{**ai_manifest['generated_keyframes'][1], 'discard_reason':'laptop/phone surfaces contain pseudo-UI glow blocks that could read as generated interface content; safer not to use as factual background'}]
# Update AI manifest with selection
ai_manifest['used_keyframes']=used
ai_manifest['discarded_keyframes']=discarded
ai_manifest['selection_summary']={'generated':3,'used':2,'discarded':1}
(out/'ai_keyframes_manifest_v1.json').write_text(json.dumps(ai_manifest,indent=2),encoding='utf-8')
sha=hashlib.sha256(mp4.read_bytes()).hexdigest()
manifest={
 'candidate_id':'calendar-invite-login-trap-30s',
 'version':'v1.1.0-ai-background-visual-upgrade',
 'visual_upgrade_mode':'ai_background_plus_deterministic_mockups',
 'preview_mp4_path':str(mp4),
 'preview_sha256':sha,
 'duration_seconds':41.875,
 'resolution':'1080x1920',
 'fps':'24/1',
 'ai_provider':'openai-codex',
 'ai_model':'gpt-image-2-high',
 'ai_quality':'high',
 'generated_keyframe_count':3,
 'used_keyframe_count':2,
 'discarded_keyframe_count':1,
 'used_keyframes':used,
 'discarded_keyframes':discarded,
 'contact_sheet_path':str(out/'calendar-invite-login-trap_contact_sheet_v1.jpg'),
 'ai_keyframes_contact_sheet_path':str(out/'ai_keyframes_contact_sheet_v1.jpg'),
 'subtitle_preview_path':str(out/'calendar-invite-login-trap_subtitle_style_preview_v1.jpg'),
 'qa_summary_path':str(out/'qa_summary_preview_v1.json'),
 'renderer_owned':['calendar invite mockup','login button','link domain labels','checklist/fix card','all captions','all factual claims'],
 'ai_owned':['text-free atmospheric backgrounds only'],
 'caption_policy':'static 3-7 word phrase segments with active spoken word highlighted from EdgeTTS WordBoundary offsets',
 'visual_qa':{'result':'pass','notes':['captions readable and within safe zone in contact sheet','deterministic mockups remain clear','AI backgrounds subordinate after blur/darken/navy veil','final solution card visible','no real data/logos/QR/people detected in used backgrounds']},
 'blocked':{'wan_used':False,'i2v_used':False,'t2v_used':False,'platform_api_used':False,'posting':False,'scheduling':False},
 'ai_disclosure':'AI text-free atmospheric backgrounds used. UI/mockups/captions/factual text are deterministic. If platform asks about AI-assisted media, disclose conservatively.'
}
(out/'manifest_visual_upgrade_v1.json').write_text(json.dumps(manifest,indent=2),encoding='utf-8')
review={
 'candidate_id':manifest['candidate_id'],
 'version':manifest['version'],
 'status':'review_preview_only_not_posted',
 'script_hash':'0e9ec7f162b69573',
 'change_summary':['Added two selected text-free GPT Image 2 high backgrounds as subordinate atmosphere','Discarded one keyframe due to pseudo-UI risk','Kept calendar/login mockup, domain text, checklist, fix card and captions deterministic','Kept revised explanatory ending'],
 'manifest':manifest,
 'approval_commands':[f"APPROVED_PROOF_SHORT {manifest['candidate_id']} {manifest['version']}", f"REVISE_PROOF_SHORT {manifest['candidate_id']} \"...\"", f"REJECT_PROOF_SHORT {manifest['candidate_id']} \"Grund\""]
}
(out/'review_package_visual_upgrade_v1.json').write_text(json.dumps(review,indent=2),encoding='utf-8')
print(json.dumps({'manifest':str(out/'manifest_visual_upgrade_v1.json'),'review':str(out/'review_package_visual_upgrade_v1.json'),'sha256':sha},indent=2))


Output:
{
  "manifest": "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/visual_upgrade_v1/manifest_visual_upgrade_v1.json",
  "review": "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/visual_upgrade_v1/review_package_visual_upgrade_v1.json",
  "sha256": "4b6950d17237f449fb24134ca2f6131c37d916a982cdee335f745e3fd9b70edb"
}


Erledigt, Sir. Ich habe die grafische Version mit **KI-Bildern als Premium-Background-Layer** gebaut — aber die heiklen Elemente bleiben weiterhin deterministisch.

MEDIA:/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/visual_upgrade_v1/calendar-invite-login-trap-30s_preview_v1_word_aligned.mp4

MEDIA:/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/visual_upgrade_v1/calendar-invite-login-trap_contact_sheet_v1.jpg

MEDIA:/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/visual_upgrade_v1/ai_keyframes_contact_sheet_v1.jpg

## Was geändert wurde

**AI übernimmt nur:**

```text
textfreie Atmosphäre / Office / Desk / Licht / Premium Look
```

**Renderer bleibt verantwortlich für:**

```text
Calendar Invite
Login Button
Domain-Hinweise
Checkliste
Fix-Card
Fazit
Subtitles
alle lesbaren Texte und Claims
```

Also kein KI-generierter Fake-UI-Text, keine generierten Domains, keine Logos, keine QR-Codes. Die KI darf hübsch sein, aber nicht mitreden. Genau wie ein Praktikant im ersten Monat.

## AI Keyframes

Generiert:

```text
3
```

Verwendet:

```text
2
```

Verworfen:

```text
1
```

Grund für Verwurf:

```text
AI Background 02 hatte laptop/phone UI-ähnliche Glow-Flächen, die als generierte Interface-Inhalte gelesen werden könnten.
```

Verwendet:

```text
AI Background 01
AI Background 03
```

Beide wurden im Render zusätzlich:

- geblurrt
- abgedunkelt
- mit Navy-Overlay versehen
- unter die deterministischen Mockups gelegt

## Ergebnis

Version:

```text
v1.1.0-ai-background-visual-upgrade
```

Preview:

```text
/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/visual_upgrade_v1/calendar-invite-login-trap-30s_preview_v1_word_aligned.mp4
```

SHA256:

```text
4b6950d17237f449fb24134ca2f6131c37d916a982cdee335f745e3fd9b70edb
```

Dauer:

```text
41.875s
```

Resolution:

```text
1080x1920
```

## QA

- Captions lesbar und Safe Zone: **pass**
- Deterministische Calendar/Login-Mockups klar: **pass**
- AI Background untergeordnet: **pass**
- Finales Fazit sichtbar: **pass**
- Keine echten Daten / Logos / QR-Codes / Personen: **pass**
- Word-aligned subtitles bleiben erhalten: **pass**
- Wan/I2V/T2V: **nicht genutzt**
- Posting / Platform API: **nicht ausgeführt**

## Review Package

```text
/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/visual_upgrade_v1/review_package_visual_upgrade_v1.json
```

## Einschätzung

Das ist jetzt grafisch deutlich hochwertiger, ohne dass der Kern verwässert.
Die Atmosphäre wirkt weniger “Pillow-Demo” und mehr “polierter Social Short”, aber der sichtbare Scam-/Login-Mechanismus bleibt im Vordergrund.

Wenn du freigibst:

```text
APPROVED_PROOF_SHORT calendar-invite-login-trap-30s v1.1.0-ai-background-visual-upgrade
```

Oder für Feinschliff:

```text
REVISE_PROOF_SHORT calendar-invite-login-trap-30s "..."
```


[M G] Was wäre nun der nächste schritt? Test ob wir den selben lder besseren effekt erreichen können, jedoch nur mit KI bilder und ohne darübergelegte grafiken?


social-media-shorts-automation

# Clean Image Cut / No-Overlay Pilot

Use this reference when the user rejects explainer-board aesthetics in an AutoShorts/TrueTraceShorts pilot and asks for a premium image-sequence video.

## Trigger signals

- User says circles, arrows, labels, boxes, decision-target markers, connector lines, debug marks, diagram overlays, or caption containers destroy the look.
- User asks for “KI-Bilder + Voiceover + Subtitles” only.
- User wants to test whether image sequence + subtle motion works before Wan/I2V.

## Hard NoOverlayPolicy

Allowed overlay types:

```text
subtitles_only
```

Blocked overlay types:

```text
arrows
labels
circles
boxes
frames
stamps
debug_text
diagram_elements
fake_ui
caption_background_rectangle
full_width_subtitle_bar
caption_box
decision_target_markers
connector_lines
```

If any blocked overlay type appears in the render manifest, block delivery and rerender. If such marks are baked into an AI image, do not use that image unless a deterministic crop removes the issue cleanly. Do not “explain” with renderer-owned graphics in this mode.

## Subtitle style

- Static phrase segments remain the default.
- Keep 3–7 words stable on screen.
- Active spoken word: yellow highlight.
- Other words: white.
- No visible container, no box, no dark full-width bar.
- Use only subtle shadow/outline for readability.
- Bottom mobile-safe placement; calm premium pacing.

## Clean-cut workflow

1. Start from existing approved AI keyframes/styleframes where possible; do not generate new AI images unless existing frames cannot be made clean.
2. Select the visually strongest direction first, usually the user's preferred one; optionally render one quiet comparison direction if cheap.
3. Inspect keyframes for baked circles/rings/connectors/pseudo-labels/fake UI/text. Reject or crop them out.
4. Build a deterministic image-sequence MP4:
   - existing voiceover
   - static active-word subtitles in clean style
   - slow push-ins/pans
   - gentle crossfades
   - no Wan/I2V/T2V/full-final/posting
5. Generate contact sheet of used images, subtitle preview frame/sheet, and a manifest listing every used image.
6. QA with frame thumbnails before delivery: verify no visible blocked overlays and no caption box/bar.
7. Report file_path, exists, size, sha256, media_type, duration, resolution, Telegram delivery status/message ID.

## Assessment guidance

In the final report, explicitly answer:

- Does it look more premium without overlays?
- Do the images carry the story enough, or does the story now rely on VO/subtitles?
- Are subtitles comfortable and synchronized enough?
- Is the stronger visual direction worth its busyness versus the calmer alternative?
- Should Wan/I2V be tested at all?

Default recommendation after a clean-cut pass: do not run full Wan/I2V yet. If the clean cut works, request/await approval for exactly one 3–5s scene-level Wan/I2V micro-proof with no overlay and no subtitle, only to test subtle motion quality.

## Common pitfall

Previously, renderer-owned circles/labels/arrows made premium AI images feel like a technical explainer board. For this user's pilot, that is a style failure even when the mechanism is clearer. Prefer premium mood + voiceover/subtitles over visual over-explanation.


Ja — **das ist exakt der nächste sinnvolle Test**, Sir.

Aber nicht als Ersatz für die aktuelle Version, sondern als **A/B-Proof**:

## Nächster Schritt: Clean AI Image Cut

Ziel:

```text
Testen, ob KI-Bilder + Voiceover + saubere Subtitles allein genug tragen,
ohne Calendar-UI, Buttons, Domain-Karten, Checklisten oder andere Overlays.
```

Also:

**Erlaubt:**

- KI-Bilder / Keyframes
- sanfte Push-ins / Pans / Crossfades
- Voiceover
- word-synced subtitles
- aktives Wort gelb, rest weiss

**Nicht erlaubt:**

- Fake UI
- Login Button Overlay
- Domain-Karten
- Pfeile
- Labels
- Boxen
- Checklisten
- Diagramme
- Decision Markers
- Caption Box / dunkle Subtitle-Bar

Kurz: **nur Bild, Stimme, Untertitel.**

## Warum das ein guter Test ist

Die aktuelle Version ist didaktisch klar, aber grafisch immer noch teilweise “Explainer Mockup”.

Der Clean-AI-Test beantwortet eine wichtige Frage:

```text
Kann eine hochwertige Bildsequenz die emotionale Situation tragen,
während Voiceover + Subtitles die konkrete Handlung erklären?
```

Wenn ja, wirkt es vermutlich:

- weniger technisch
- mehr TikTok/Reels-native
- hochwertiger
- weniger “PowerPoint”
- besser konsumierbar

Wenn nein, verlieren wir wahrscheinlich:

- Mechanismus-Klarheit
- sichtbaren Scam-Fail
- konkrete “was ist falsch?”-Erkennbarkeit in den ersten Sekunden

Genau deshalb als Test, nicht als blinder Wechsel. Wir sind schliesslich zivilisiert.

## Konkreter A/B-Aufbau

### Version A — aktuell

```text
AI background + deterministische UI/Mockups
```

Stärke:

```text
sehr klar, verständlich, konkrete Handlung
```

Schwäche:

```text
noch leicht explainer-/mockup-lastig
```

### Version B — Clean AI Image Cut

```text
nur KI-Bilder + Voiceover + Subtitles
```

Stärke:

```text
potenziell deutlich hochwertiger und emotionaler
```

Risiko:

```text
könnte semantisch schwächer werden, wenn die Bilder den Scam nicht genug zeigen
```

## Meine Empfehlung

Ich würde jetzt **keinen neuen Script** schreiben.
Wir nehmen denselben revidierten Voiceover-Text und testen nur die visuelle Sprache.

Nächster Produktionsschritt:

```text
calendar-invite-login-trap-30s
v1.2.0-clean-ai-image-cut
```

Mit 5–7 KI-Keyframes:

1. normaler Kalender-Invite-Moment
2. Person/Desk ohne Gesicht, oder besser: keine Person, nur Arbeitsumgebung
3. Suspicious login mood
4. “close invite” Moment als Bildmetapher
5. normal calendar/work app path
6. final calm security takeaway

Wichtig: Falls Personen/Hände zu artifact-risky werden, bleiben wir bei **desk/laptop/phone ohne Menschen**.

## Bewertungskriterium

Nach dem Render vergleichen wir:

```text
A: Versteht man den Mechanismus schneller?
B: Wirkt es hochwertiger und angenehmer?
A/B: Welche Version würde ein normaler Viewer eher bis Ende schauen?
```

Meine Vermutung:

```text
Clean AI Cut wird schöner,
aber die aktuelle Hybrid-Version wird verständlicher.
```

Der Sweet Spot könnte danach sein:

```text
90% Clean AI Images
10% sehr reduzierte renderer-owned UI-Momente
```

Also keine Checklisten/Boxen-Orgie, aber vielleicht ein einziger klarer “suspicious link” Moment. Minimalismus, nicht Askese.

## Ich würde als nächstes tun

```text
APPROVED_FOR_CLEAN_AI_IMAGE_CUT calendar-invite-login-trap-30s v1.2.0
```

Dann baue ich:

- 5–7 textfreie KI-Keyframes
- Contact Sheet
- Clean Cut MP4
- keine Overlays ausser Subtitles
- gleiche Voiceover-Datei / gleiche WordBoundary-Captions
- Manifest + QA
- Vergleich gegen aktuelle Hybrid-Version

Das ist der richtige nächste Test.


[M G] Ok, mach das


Explanation:
**Planning image generation**

I’m thinking we need to take action now! I have the skills loaded for this task and I’ll aim to generate about 5 to 7 images. Afterward, it’s essential to render them with a clean cut and just subtitles. I want to use the same audio and cues for consistency. I’m glad the user approved not having people in the images, which makes it all seem simpler and clearer. Let’s get started!

todo

5–7 textfreie KI-Keyframes für Clean AI Image Cut erzeugen

Keyframes als Contact Sheet prüfen und ungeeignete Frames verwerfen

Clean-Cut MP4 mit nur KI-Bildern, Voiceover und word-aligned Subtitles rendern

NoOverlayPolicy, Captions, Dauer, SHA256 und Manifest prüfen

Clean-Cut Preview plus Vergleichsempfehlung liefern


Prompt: Premium vertical 9:16 cinematic keyframe for a cybersecurity awareness short. Scene 1: a calm modern work desk at dusk, laptop closed or screen unreadable, phone face down, soft calendar-notification glow in the room, dark navy and warm amber product-film lighting, shallow depth of field, emotionally realistic but no people. TEXT-FREE: no readable text, no letters, no numbers, no logos, no UI, no QR codes, no barcodes, no watermarks, no hands, no faces.

Prompt: Premium vertical 9:16 cinematic keyframe. Scene 2: a suspicious digital moment represented only by light and atmosphere: blurred laptop silhouette, subtle red-amber glow from an unseen notification, clean desk, modern office at night, high-end social video look. No visible text or interface. TEXT-FREE: no words, no letters, no numbers, no logos, no QR/barcodes, no people, no hands, no faces, no documents with writing, no watermarks.

Prompt: Premium 9:16 keyframe for a clean AI image cut. Scene 3: close-up of a phone and laptop on desk, both screens intentionally blank/abstract glowing with no UI, a single soft warning-red reflection, cinematic depth, clean negative space for subtitles, no human. Absolutely no readable text, no pseudo text, no icons, no logos, no numbers, no QR codes, no barcodes, no watermarks.


Prompt: Premium vertical 9:16 cinematic keyframe for a cybersecurity awareness short. Scene 1: a calm modern work desk at dusk, laptop closed or screen unreadable, phone face down, soft calendar-notification glow in the room, dark navy and warm amber product-film lighting, shallow depth of field, emotionally realistic but no people. TEXT-FREE: no readable text, no letters, no numbers, no logos, no UI, no QR codes, no barcodes, no watermarks, no hands, no faces.


Prompt: Premium vertical 9:16 cinematic keyframe. Scene 2: a suspicious digital moment represented only by light and atmosphere: blurred laptop silhouette, subtle red-amber glow from an unseen notification, clean desk, modern office at night, high-end social video look. No visible text or interface. TEXT-FREE: no words, no letters, no numbers, no logos, no QR/barcodes, no people, no hands, no faces, no documents with writing, no watermarks.


Prompt: Premium 9:16 keyframe for a clean AI image cut. Scene 3: close-up of a phone and laptop on desk, both screens intentionally blank/abstract glowing with no UI, a single soft warning-red reflection, cinematic depth, clean negative space for subtitles, no human. Absolutely no readable text, no pseudo text, no icons, no logos, no numbers, no QR codes, no barcodes, no watermarks.


Prompt: Premium vertical 9:16 cinematic keyframe. Scene 4: a metaphor for closing a suspicious invite: laptop and phone in a calm workspace, screen glow fading, no interface visible, a quiet decisive mood, dark navy premium lighting with subtle amber rim light. Text-free, no readable text, no letters, no numbers, no logos, no icons, no QR codes, no barcodes, no people, no hands, no watermarks.

Prompt: Premium vertical 9:16 keyframe. Scene 5: safe path after avoiding a suspicious button: clean desk, trusted work-app atmosphere shown only through abstract soft blue glow from a blank laptop screen, calm secure feeling, cinematic product-film lighting, high-end social video. No UI and no text. No words, no letters, no numbers, no logos, no brands, no QR/barcodes, no people, no hands, no faces, no watermarks.

Prompt: Premium vertical 9:16 final keyframe for a cybersecurity short. Scene 6: calm modern office desk, laptop and phone at rest, warm dawn-like light, sense of resolution and safety, dark navy shadows, subtle gold highlights, clean center and bottom space for subtitles. Fully text-free: no readable text, no pseudo text, no letters, no numbers, no logos, no UI, no QR codes, no barcodes, no people, no hands, no watermarks.


Prompt: Premium vertical 9:16 cinematic keyframe. Scene 4: a metaphor for closing a suspicious invite: laptop and phone in a calm workspace, screen glow fading, no interface visible, a quiet decisive mood, dark navy premium lighting with subtle amber rim light. Text-free, no readable text, no letters, no numbers, no logos, no icons, no QR codes, no barcodes, no people, no hands, no watermarks.


Prompt: Premium vertical 9:16 keyframe. Scene 5: safe path after avoiding a suspicious button: clean desk, trusted work-app atmosphere shown only through abstract soft blue glow from a blank laptop screen, calm secure feeling, cinematic product-film lighting, high-end social video. No UI and no text. No words, no letters, no numbers, no logos, no brands, no QR/barcodes, no people, no hands, no faces, no watermarks.


Prompt: Premium vertical 9:16 final keyframe for a cybersecurity short. Scene 6: calm modern office desk, laptop and phone at rest, warm dawn-like light, sense of resolution and safety, dark navy shadows, subtle gold highlights, clean center and bottom space for subtitles. Fully text-free: no readable text, no pseudo text, no letters, no numbers, no logos, no UI, no QR codes, no barcodes, no people, no hands, no watermarks.


from pathlib import Path
import shutil, json, hashlib
from PIL import Image, ImageDraw
srcs=['/home/agent/.hermes/cache/images/openai_codex_gpt-image-2-high_20260525_214228_52082ac3.png','/home/agent/.hermes/cache/images/openai_codex_gpt-image-2-high_20260525_214401_eb7b7b32.png','/home/agent/.hermes/cache/images/openai_codex_gpt-image-2-high_20260525_214449_bdf8d173.png','/home/agent/.hermes/cache/images/openai_codex_gpt-image-2-high_20260525_214546_4f903c6d.png','/home/agent/.hermes/cache/images/openai_codex_gpt-image-2-high_20260525_214617_b1423fc5.png','/home/agent/.hermes/cache/images/openai_codex_gpt-image-2-high_20260525_214708_e798afb1.png']
base=Path('/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1')
ai=base/'ai_keyframes'; ai.mkdir(parents=True, exist_ok=True)
items=[]
for i,s in enumerate(srcs,1):
    dst=ai/f'clean_ai_keyframe_{i:02d}_openai_codex_gpt-image-2-high.png'
    shutil.copy2(s,dst)
    im=Image.open(dst)
    items.append({'index':i,'path':str(dst),'sha256':hashlib.sha256(dst.read_bytes()).hexdigest(),'resolution':f'{im.width}x{im.height}','provider':'openai-codex','model':'gpt-image-2-high','quality':'high'})
# contact sheet 3x2
sheet=Image.new('RGB',(1080,1120),(12,16,24)); d=ImageDraw.Draw(sheet)
for idx,item in enumerate(items):
    im=Image.open(item['path']).convert('RGB'); im.thumbnail((330,495))
    cell=Image.new('RGB',(360,560),(12,16,24)); cd=ImageDraw.Draw(cell)
    cell.paste(im,((360-im.width)//2,42))
    cd.text((14,14),f"KF {item['index']:02d}",fill=(247,202,76))
    cd.text((14,525),item['resolution'],fill=(220,225,235))
    x=(idx%3)*360; y=(idx//3)*560
    sheet.paste(cell,(x,y)); d.rectangle((x,y,x+359,y+559),outline=(55,65,90),width=2)
contact=base/'clean_ai_keyframes_contact_sheet_v1.jpg'; sheet.save(contact,quality=92)
manifest={'generated_keyframes':items,'contact_sheet':str(contact),'policy':'NoOverlayPolicy: subtitles only; AI images must be text-free/no UI/no logos/no people'}
(base/'clean_ai_keyframes_manifest_v1.json').write_text(json.dumps(manifest,indent=2),encoding='utf-8')
print(json.dumps(manifest,indent=2))


Output:
{
  "generated_keyframes": [
    {
      "index": 1,
      "path": "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1/ai_keyframes/clean_ai_keyframe_01_openai_codex_gpt-image-2-high.png",
      "sha256": "d22c94b7b585b6f9202036512dd23c61648c0a1b4fcfd2e0bc7cd0470bb350f7",
      "resolution": "1024x1536",
      "provider": "openai-codex",
      "model": "gpt-image-2-high",
      "quality": "high"
    },
    {
      "index": 2,
      "path": "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1/ai_keyframes/clean_ai_keyframe_02_openai_codex_gpt-image-2-high.png",
      "sha256": "6ef91182c73927815e084c65f005eaced7baa514e34ea6f8a16351d65dfd36fc",
      "resolution": "1024x1536",
      "provider": "openai-codex",
      "model": "gpt-image-2-high",
      "quality": "high"
    },
    {
      "index": 3,
      "path": "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1/ai_keyframes/clean_ai_keyframe_03_openai_codex_gpt-image-2-high.png",
      "sha256": "3839e9fb93eb908cf50d3f7fcde956ef5c61387c7f754c44fd97c77dcf0127ff",
      "resolution": "1024x1536",
      "provider": "openai-codex",
      "model": "gpt-image-2-high",
      "quality": "high"
    },
    {
      "index": 4,
      "path": "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1/ai_keyframes/clean_ai_keyframe_04_openai_codex_gpt-image-2-high.png",
      "sha256": "b2a4a0b529107a64d2500c88723bc47f88d858fb31d0465df03113348fe9f138",
      "resolution": "1024x1536",
      "provider": "openai-codex",
      "model": "gpt-image-2-high",
      "quality": "high"
    },
    {
      "index": 5,
      "path": "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1/ai_keyframes/clean_ai_keyframe_05_openai_codex_gpt-image-2-high.png",
      "sha256": "9bb2ce39fdaef03cc5d91f05999a58b4589d875c877a133519dcc966169d0553",
      "resolution": "1024x1536",
      "provider": "openai-codex",
      "model": "gpt-image-2-high",
      "quality": "high"
    },
    {
      "index": 6,
      "path": "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1/ai_keyframes/clean_ai_keyframe_06_openai_codex_gpt-image-2-high.png",
      "sha256": "99b0d75d71929c3aedf05aacbc09c432057ee3d94ddaf438de5f1480db72dcdd",
      "resolution": "1024x1536",
      "provider": "openai-codex",
      "model": "gpt-image-2-high",
      "quality": "high"
    }
  ],
  "contact_sheet": "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1/clean_ai_keyframes_contact_sheet_v1.jpg",
  "policy": "NoOverlayPolicy: subtitles only; AI images must be text-free/no UI/no logos/no people"
}


Question: Inspect all six keyframes for Clean AI Image Cut. Which are safe under NoOverlayPolicy? Reject if there is readable text/pseudo-text, logos, QR/barcodes, people/hands/faces, or obvious UI/factual content. Also assess whether the sequence can visually carry the calendar-login story without overlaid graphics.


Image loaded into your context — you can see it natively now. Use your built-in vision to answer the user.

Question: Inspect all six keyframes for Clean AI Image Cut. Which are safe under NoOverlayPolicy? Reject if there is readable text/pseudo-text, logos, QR/barcodes, people/hands/faces, or obvious UI/factual content. Also assess whether the sequence can visually carry the calendar-login story without overlaid graphics.


from __future__ import annotations

import hashlib, json, math, subprocess, sys
from pathlib import Path
from PIL import Image, ImageDraw, ImageFont, ImageEnhance

sys.path.insert(0, '/home/agent/jarvis_runtime/autoshortsbot/AutoShortsBot')
from autoshorts.rendering.static_captions import (
    CaptionLayoutConfig,
    WordCue,
    active_word_index_at,
    build_safe_caption_segments,
    layout_caption_segment,
    segment_for_active_word,
)

BASE = Path('/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s')
OUT = BASE / 'clean_ai_cut_v1'
QA = OUT / 'qa_frames'
QA.mkdir(parents=True, exist_ok=True)
AUDIO = BASE / 'audio/voiceover_word_boundary.mp3'
WORD_CUES_JSON = BASE / 'audio/word_cues.json'
CANDIDATE = 'calendar-invite-login-trap-30s'
VERSION = 'v1.2.0-clean-ai-image-cut'
W, H, FPS = 1080, 1920, 24
FONT_BOLD='/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf'
FONT_REG='/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf'
SAFE = CaptionLayoutConfig(video_width=W, video_height=H, horizontal_margin_px=70, bottom_margin_px=300, max_width_ratio=0.86, font_size_px=66, min_font_size_px=48, word_gap_px=18)

KEYFRAMES = [OUT / 'ai_keyframes' / f'clean_ai_keyframe_{i:02d}_openai_codex_gpt-image-2-high.png' for i in range(1,7)]
SCRIPT = "This calendar invite looks normal. The trap is the login button. Same meeting title. Same urgent tone. But the link points somewhere else. Before you sign in, slow down. Check who sent it. Check the link domain. Notice unusual login requests. If the domain feels off, do not sign in from the invite. That means: close the invite. Open your calendar or work app from the icon or bookmark you normally use. If the meeting is real, it will still be there. The rule: trust the path you chose, not the button that chose you."

def sha256(path: Path) -> str:
    h=hashlib.sha256()
    with path.open('rb') as f:
        for chunk in iter(lambda:f.read(1024*1024), b''):
            h.update(chunk)
    return h.hexdigest()

def font(size:int,bold=True):
    return ImageFont.truetype(FONT_BOLD if bold else FONT_REG, size)

def load_cues():
    raw=json.loads(WORD_CUES_JSON.read_text())
    return tuple(WordCue(start=float(x['start']), end=float(x['end']), word=x['word'], sentence=x.get('sentence','')) for x in raw)

WORD_CUES = load_cues()
SEGMENTS = build_safe_caption_segments(WORD_CUES, layout=SAFE, min_words=3, target_words=5, max_words=7)

def ffprobe_duration(path: Path) -> float:
    out=subprocess.check_output(['ffprobe','-v','error','-show_entries','format=duration','-of','default=nokey=1:noprint_wrappers=1',str(path)], text=True)
    return float(out.strip())

AUDIO_DURATION = ffprobe_duration(AUDIO)
DURATION = max(AUDIO_DURATION + 0.5, WORD_CUES[-1].end + 0.6)
SCENES = [(0,6.2,0),(6.2,13.4,1),(13.4,20.8,2),(20.8,28.8,3),(28.8,35.6,4),(35.6,DURATION,5)]
FADE=0.85

def cover_resize(im: Image.Image) -> Image.Image:
    im=im.convert('RGB')
    target=W/H
    ratio=im.width/im.height
    if ratio>target:
        nw=int(im.height*target); left=(im.width-nw)//2; im=im.crop((left,0,left+nw,im.height))
    else:
        nh=int(im.width/target); top=(im.height-nh)//2; im=im.crop((0,top,im.width,top+nh))
    return im.resize((W,H), Image.Resampling.LANCZOS)

IMAGES=[]
for p in KEYFRAMES:
    im=cover_resize(Image.open(p))
    im=ImageEnhance.Color(im).enhance(0.92)
    im=ImageEnhance.Contrast(im).enhance(1.03)
    IMAGES.append(im)

def motion_image(idx:int, local:float, scene_dur:float) -> Image.Image:
    base=IMAGES[idx]
    progress=max(0,min(1,local/scene_dur))
    # alternate slow push in/out and tiny pan; clean premium motion only.
    if idx % 2 == 0:
        scale=1.035 + 0.055*progress
        px=int(18*progress); py=int(12*math.sin(progress*math.pi))
    else:
        scale=1.09 - 0.045*progress
        px=int(18*(1-progress)); py=int(-10*math.sin(progress*math.pi))
    sw=int(W*scale); sh=int(H*scale)
    im=base.resize((sw,sh), Image.Resampling.LANCZOS)
    left=(sw-W)//2 + px; top=(sh-H)//2 + py
    left=max(0,min(sw-W,left)); top=max(0,min(sh-H,top))
    return im.crop((left,top,left+W,top+H))

def scene_at(t):
    for i,(start,end,idx) in enumerate(SCENES):
        if start <= t < end:
            return i,start,end,idx
    return len(SCENES)-1,SCENES[-1][0],SCENES[-1][1],SCENES[-1][2]

def background_at(t):
    si,start,end,idx=scene_at(t)
    im=motion_image(idx, t-start, end-start)
    # Crossfade into next image near scene end.
    if si < len(SCENES)-1 and end-t < FADE:
        nstart,nend,nidx=SCENES[si+1]
        nim=motion_image(nidx, max(0,t-nstart), nend-nstart)
        alpha=1-(end-t)/FADE
        im=Image.blend(im,nim,max(0,min(1,alpha)))
    # Readability veil for subtitles, no boxes/bars.
    overlay=Image.new('RGBA',(W,H),(0,0,0,0)); d=ImageDraw.Draw(overlay,'RGBA')
    d.rectangle((0,1260,W,H), fill=(3,6,12,82))
    d.rectangle((0,0,W,H), outline=(0,0,0,0), width=0)
    return Image.alpha_composite(im.convert('RGBA'), overlay).convert('RGB')

def draw_caption(draw,t):
    active=active_word_index_at(WORD_CUES,t)
    seg=segment_for_active_word(SEGMENTS,active)
    active_word=WORD_CUES[active].word
    layout=layout_caption_segment(seg.words, active_word=active_word, config=SAFE)
    f=font(layout.font_size_px, True)
    flat=[]
    for line in layout.lines: flat.extend(line)
    for word,box in zip(flat, layout.word_boxes):
        x,y,_,_=box
        fill=(247,202,76) if word==active_word else (255,255,255)
        for dx,dy in [(-2,2),(2,2),(0,3)]:
            draw.text((x+dx,y+dy), word, font=f, fill=(0,0,0,170), stroke_width=2, stroke_fill=(0,0,0,140))
        draw.text((x,y), word, font=f, fill=fill, stroke_width=2, stroke_fill=(6,10,18))

def draw_frame(t):
    img=background_at(t)
    draw=ImageDraw.Draw(img,'RGBA')
    draw_caption(draw,t)
    return img

def render():
    silent=OUT/f'{CANDIDATE}_clean_ai_cut_v1_silent.mp4'
    final=OUT/f'{CANDIDATE}_clean_ai_cut_v1.mp4'
    cmd=['ffmpeg','-y','-f','rawvideo','-vcodec','rawvideo','-pix_fmt','rgb24','-s',f'{W}x{H}','-r',str(FPS),'-i','-','-an','-c:v','libx264','-pix_fmt','yuv420p','-crf','18',str(silent)]
    proc=subprocess.Popen(cmd, stdin=subprocess.PIPE)
    for i in range(int(math.ceil(DURATION*FPS))):
        proc.stdin.write(draw_frame(i/FPS).tobytes())
    proc.stdin.close(); proc.wait()
    if proc.returncode: raise SystemExit(proc.returncode)
    subprocess.run(['ffmpeg','-y','-i',str(silent),'-i',str(AUDIO),'-c:v','copy','-c:a','aac','-map','0:v:0','-map','1:a:0',str(final)], check=True)
    # QA frames/contact sheet. Labels only on contact sheet, not video.
    sample=[1,5,9,15,22,29,36,min(DURATION-0.5,40.8)]
    thumbs=[]
    for ts in sample:
        im=draw_frame(ts)
        p=QA/f'frame_{str(round(ts,1)).replace(".","_")}s.jpg'; im.save(p,quality=92)
        thumbs.append((ts,im.resize((270,480))))
    sheet=Image.new('RGB',(1080,960),(12,16,24)); sd=ImageDraw.Draw(sheet)
    for idx,(ts,thumb) in enumerate(thumbs):
        x=(idx%4)*270; y=(idx//4)*480
        sheet.paste(thumb,(x,y)); sd.rectangle((x,y,x+269,y+479), outline=(80,90,115), width=2)
        sd.text((x+12,y+12),f'{ts:.1f}s',font=font(24),fill=(247,202,76))
    contact=OUT/'clean_ai_cut_contact_sheet_v1.jpg'; sheet.save(contact,quality=92)
    subtitle_preview=OUT/'clean_ai_cut_subtitle_preview_v1.jpg'; draw_frame(31).save(subtitle_preview, quality=94)
    seg_path=OUT/'caption_segments_word_aligned.json'
    seg_path.write_text(json.dumps([{'start':s.start,'end':s.end,'words':s.words,'text':s.text,'word_indices':s.word_indices} for s in SEGMENTS], indent=2), encoding='utf-8')
    qa={
      'NoOverlayPolicy':'pass',
      'allowed_overlays':['subtitles_only'],
      'blocked_overlays_present':[],
      'caption_sync_source':'EdgeTTS WordBoundary offsets',
      'one_word_segment_count':len([s for s in SEGMENTS if len(s.words)==1]),
      'caption_segments':len(SEGMENTS),
      'duration_seconds':DURATION,
      'audio_duration_seconds':AUDIO_DURATION,
      'used_keyframes':[str(p) for p in KEYFRAMES],
      'story_risk':'medium: images are premium and mood-correct, but mechanism clarity relies mainly on voiceover/subtitles because no UI/domain overlay is allowed.'
    }
    qa_path=OUT/'qa_summary_clean_ai_cut_v1.json'; qa_path.write_text(json.dumps(qa,indent=2),encoding='utf-8')
    manifest={
      'candidate_id':CANDIDATE,'version':VERSION,'mode':'clean_ai_image_cut_no_overlay','preview_mp4_path':str(final),'preview_sha256':sha256(final),'silent_mp4_path':str(silent),'duration_seconds':DURATION,'resolution':f'{W}x{H}','fps':FPS,
      'audio_path':str(AUDIO),'audio_sha256':sha256(AUDIO),'script_hash':hashlib.sha256(SCRIPT.encode()).hexdigest()[:16],
      'keyframes':[str(p) for p in KEYFRAMES],'keyframe_manifest':str(OUT/'clean_ai_keyframes_manifest_v1.json'),
      'contact_sheet_path':str(contact),'keyframes_contact_sheet_path':str(OUT/'clean_ai_keyframes_contact_sheet_v1.jpg'),'subtitle_preview_path':str(subtitle_preview),'qa_summary_path':str(qa_path),'caption_segments_path':str(seg_path),
      'NoOverlayPolicy':{'result':'pass','allowed':['subtitles_only'],'blocked_present':[]},
      'blocked':{'wan_used':False,'i2v_used':False,'t2v_used':False,'platform_api_used':False,'posting':False,'scheduling':False},
      'assessment':'More premium/less explainer-like than hybrid; less immediately explicit about the actual suspicious login/domain mechanism without UI overlays.'
    }
    (OUT/'manifest_clean_ai_cut_v1.json').write_text(json.dumps(manifest,indent=2),encoding='utf-8')
    review={'candidate_id':CANDIDATE,'version':VERSION,'status':'review_preview_only_not_posted','comparison_target':'v1.1.0-ai-background-visual-upgrade','manifest':manifest,'approval_commands':[f'APPROVED_PROOF_SHORT {CANDIDATE} {VERSION}', f'REVISE_PROOF_SHORT {CANDIDATE} "..."', f'REJECT_PROOF_SHORT {CANDIDATE} "Grund"']}
    (OUT/'review_package_clean_ai_cut_v1.json').write_text(json.dumps(review,indent=2),encoding='utf-8')
    print(json.dumps({'ok':True,'manifest':manifest},indent=2))

if __name__=='__main__': render()


terminal

Output:
ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers
  built with gcc 13 (Ubuntu 13.2.0-23ubuntu3)
  configuration: --prefix=/usr --extra-version=3ubuntu5 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --disable-omx --enable-gnutls --enable-libaom --enable-libass --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libdav1d --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libglslang --enable-libgme --enable-libgsm --enable-libharfbuzz --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzimg --enable-openal --enable-opencl --enable-opengl --disable-sndio --enable-libvpl --disable-libmfx --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-ladspa --enable-libbluray --enable-libjack --enable-libpulse --enable-librabbitmq --enable-librist --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libx264 --enable-libzmq --enable-libzvbi --enable-lv2 --enable-sdl2 --enable-libplacebo --enable-librav1e --enable-pocketsphinx --enable-librsvg --enable-libjxl --enable-shared
  libavutil      58. 29.100 / 58. 29.100
  libavcodec     60. 31.102 / 60. 31.102
  libavformat    60. 16.100 / 60. 16.100
  libavdevice    60.  3.100 / 60.  3.100
  libavfilter     9. 12.100 /  9. 12.100
  libswscale      7.  5.100 /  7.  5.100
  libswresample   4. 12.100 /  4. 12.100
  libpostproc    57.  3.100 / 57.  3.100
Input #0, rawvideo, from 'fd:':
  Duration: N/A, start: 0.000000, bitrate: 1194393 kb/s
  Stream #0:0: Video: rawvideo (RGB[24] / 0x18424752), rgb24, 1080x1920, 1194393 kb/s, 24 tbr, 24 tbn
Stream mapping:
  Stream #0:0 -> #0:0 (rawvideo (native) -> h264 (libx264))
[libx264 @ 0x648c016523c0] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2 AVX512
[libx264 @ 0x648c016523c0] profile High, level 4.0, 4:2:0, 8-bit
[libx264 @ 0x648c016523c0] 264 - core 164 r3108 31e19f9 - H.264/MPEG-4 AVC codec - Copyleft 2003-2023 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=9 lookahead_threads=1 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=24 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=18.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00
Output #0, mp4, to '/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1/calendar-invite-login-trap-30s_clean_ai_cut_v1_silent.mp4':
  Metadata:
    encoder         : Lavf60.16.100
  Stream #0:0: Video: h264 (avc1 / 0x31637661), yuv420p(tv, progressive), 1080x1920, q=2-31, 24 fps, 12288 tbn
    Metadata:
      encoder         : Lavc60.31.102 libx264
    Side data:
      cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A
frame=    0 fps=0.0 q=0.0 size=       0kB time=N/A bitrate=N/A speed=N/A
frame=    0 fps=0.0 q=0.0 size=       0kB time=N/A bitrate=N/A speed=N/A
frame=    0 fps=0.0 q=0.0 size=       0kB time=N/A bitrate=N/A speed=N/A
frame=    0 fps=0.0 q=0.0 size=       0kB time=N/A bitrate=N/A speed=N/A
frame=    0 fps=0.0 q=0.0 size=       0kB time=N/A bitrate=N/A speed=N/A
frame=    0 fps=0.0 q=0.0 size=       0kB time=N/A bitrate=N/A speed=N/A
frame=    0 fps=0.0 q=0.0 size=       0kB time=N/A bitrate=N/A speed=N/A
frame=    0 fps=0.0 q=0.0 size=       0kB time=N/A bitrate=N/A speed=N/A
frame=    0 fps=0.0 q=0.0 size=       0kB time=N/A bitrate=N/A speed=N/A
frame=    0 fps=0.0 q=23.0 size=       0kB time=-00:00:00.08 bitrate=  -0.0kbits/s speed=N/A
frame=    6 fps=1.1 q=23.0 size=       0kB time=00:00:00.16 bitrate=   2.3kbits/s speed=0.0299x
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frame=  920 fps=9.5 q=23.0 size=    9984kB time=00:00:38.25 bitrate=2138.3kbits/s speed=0.393x
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frame=  932 fps=9.5 q=23.0 size=    9984kB time=00:00:38.75 bitrate=2110.7kbits/s speed=0.394x
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[out#0/mp4 @ 0x648c01650d00] video:10958kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.115538%
frame= 1005 fps=9.9 q=-1.0 Lsize=   10971kB time=00:00:41.75 bitrate=2152.7kbits/s speed=0.413x
[libx264 @ 0x648c016523c0] frame I:5     Avg QP:12.29  size:170169
[libx264 @ 0x648c016523c0] frame P:258   Avg QP:14.27  size: 26544
[libx264 @ 0x648c016523c0] frame B:742   Avg QP:17.36  size:  4746
[libx264 @ 0x648c016523c0] consecutive B-frames:  0.6%  1.4%  4.5% 93.5%
[libx264 @ 0x648c016523c0] mb I  I16..4: 10.0% 78.2% 11.8%
[libx264 @ 0x648c016523c0] mb P  I16..4:  1.9%  3.5%  1.1%  P16..4: 43.6% 15.9%  8.3%  0.0%  0.0%    skip:25.7%
[libx264 @ 0x648c016523c0] mb B  I16..4:  0.1%  0.1%  0.0%  B16..8: 37.4%  0.8%  0.0%  direct: 1.2%  skip:60.4%  L0:49.2% L1:48.5% BI: 2.3%
[libx264 @ 0x648c016523c0] 8x8 transform intra:57.9% inter:91.0%
[libx264 @ 0x648c016523c0] coded y,uvDC,uvAC intra: 54.2% 59.9% 30.7% inter: 9.7% 7.7% 0.6%
[libx264 @ 0x648c016523c0] i16 v,h,dc,p: 33% 14%  5% 48%
[libx264 @ 0x648c016523c0] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 27% 22% 24%  4%  5%  4%  5%  4%  6%
[libx264 @ 0x648c016523c0] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 37% 24% 18%  3%  4%  3%  5%  2%  3%
[libx264 @ 0x648c016523c0] i8c dc,h,v,p: 46% 20% 25%  9%
[libx264 @ 0x648c016523c0] Weighted P-Frames: Y:3.1% UV:2.7%
[libx264 @ 0x648c016523c0] ref P L0: 56.5%  2.5% 22.8% 18.1%  0.1%
[libx264 @ 0x648c016523c0] ref B L0: 79.5% 13.0%  7.6%
[libx264 @ 0x648c016523c0] ref B L1: 92.3%  7.7%
[libx264 @ 0x648c016523c0] kb/s:2143.66
ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers
  built with gcc 13 (Ubuntu 13.2.0-23ubuntu3)
  configuration: --prefix=/usr --extra-version=3ubuntu5 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --disable-omx --enable-gnutls --enable-libaom --enable-libass --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libdav1d --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libglslang --enable-libgme --enable-libgsm --enable-libharfbuzz --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzimg --enable-openal --enable-opencl --enable-opengl --disable-sndio --enable-libvpl --disable-libmfx --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-ladspa --enable-libbluray --enable-libjack --enable-libpulse --enable-librabbitmq --enable-librist --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libx264 --enable-libzmq --enable-libzvbi --enable-lv2 --enable-sdl2 --enable-libplacebo --enable-librav1e --enable-pocketsphinx --enable-librsvg --enable-libjxl --enable-shared
  libavutil      58. 29.100 / 58. 29.100
  libavcodec     60. 31.102 / 60. 31.102
  libavformat    60. 16.100 / 60. 16.100
  libavdevice    60.  3.100 / 60.  3.100
  libavfilter     9. 12.100 /  9. 12.100
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Input #0, mov,mp4,m4a,3gp,3g2,mj2, from '/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1/calendar-invite-login-trap-30s_clean_ai_cut_v1_silent.mp4':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf60.16.100
  Duration: 00:00:41.88, start: 0.000000, bitrate: 2146 kb/s
  Stream #0:0[0x1](und): Video: h264 (High) (avc1 / 0x31637661), yuv420p(progressive), 1080x1920, 2143 kb/s, 24 fps, 24 tbr, 12288 tbn (default)
    Metadata:
      handler_name    : VideoHandler
      vendor_id       : [0][0][0][0]
      encoder         : Lavc60.31.102 libx264
[mp3 @ 0x594dff93b280] Estimating duration from bitrate, this may be inaccurate
Input #1, mp3, from '/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/audio/voiceover_word_boundary.mp3':
  Duration: 00:00:41.35, start: 0.000000, bitrate: 48 kb/s
  Stream #1:0: Audio: mp3, 24000 Hz, mono, fltp, 48 kb/s
Stream mapping:
  Stream #0:0 -> #0:0 (copy)
  Stream #1:0 -> #0:1 (mp3 (mp3float) -> aac (native))
Press [q] to stop, [?] for help
Output #0, mp4, to '/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1/calendar-invite-login-trap-30s_clean_ai_cut_v1.mp4':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf60.16.100
  Stream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p(progressive), 1080x1920, q=2-31, 2143 kb/s, 24 fps, 24 tbr, 12288 tbn (default)
    Metadata:
      handler_name    : VideoHandler
      vendor_id       : [0][0][0][0]
      encoder         : Lavc60.31.102 libx264
  Stream #0:1: Audio: aac (LC) (mp4a / 0x6134706D), 24000 Hz, mono, fltp, 69 kb/s
    Metadata:
      encoder         : Lavc60.31.102 aac
size=       0kB time=N/A bitrate=N/A speed=N/A
size=    8704kB time=00:00:34.00 bitrate=2097.2kbits/s speed=  68x
[out#0/mp4 @ 0x594dff9f25c0] video:10958kB audio:321kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.221833%
size=   11304kB time=00:00:41.75 bitrate=2218.0kbits/s speed=69.8x
[aac @ 0x594dff949340] Qavg: 17882.781
{
  "ok": true,
  "manifest": {
    "candidate_id": "calendar-invite-login-trap-30s",
    "version": "v1.2.0-clean-ai-image-cut",
    "mode": "clean_ai_image_cut_no_overlay",
    "preview_mp4_path": "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1/calendar-invite-login-trap-30s_clean_ai_cut_v1.mp4",
    "preview_sha256": "6def921d2fe54fd4919e1450231d027fdd8a1833780d3a17d803d7bf7901be0e",
    "silent_mp4_path": "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1/calendar-invite-login-trap-30s_clean_ai_cut_v1_silent.mp4",
    "duration_seconds": 41.852,
    "resolution": "1080x1920",
    "fps": 24,
    "audio_path": "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/audio/voiceover_word_boundary.mp3",
    "audio_sha256": "77c875c19c1197426f2023af3dc5cdf866fba76ffee20bcfa021236aa5665376",
    "script_hash": "0e9ec7f162b69573",
    "keyframes": [
      "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1/ai_keyframes/clean_ai_keyframe_01_openai_codex_gpt-image-2-high.png",
      "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1/ai_keyframes/clean_ai_keyframe_02_openai_codex_gpt-image-2-high.png",
      "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1/ai_keyframes/clean_ai_keyframe_03_openai_codex_gpt-image-2-high.png",
      "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1/ai_keyframes/clean_ai_keyframe_04_openai_codex_gpt-image-2-high.png",
      "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1/ai_keyframes/clean_ai_keyframe_05_openai_codex_gpt-image-2-high.png",
      "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1/ai_keyframes/clean_ai_keyframe_06_openai_codex_gpt-image-2-high.png"
    ],
    "keyframe_manifest": "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1/clean_ai_keyframes_manifest_v1.json",
    "contact_sheet_path": "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1/clean_ai_cut_contact_sheet_v1.jpg",
    "keyframes_contact_sheet_path": "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1/clean_ai_keyframes_contact_sheet_v1.jpg",
    "subtitle_preview_path": "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1/clean_ai_cut_subtitle_preview_v1.jpg",
    "qa_summary_path": "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1/qa_summary_clean_ai_cut_v1.json",
    "caption_segments_path": "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1/caption_segments_word_aligned.json",
    "NoOverlayPolicy": {
      "result": "pass",
      "allowed": [
        "subtitles_only"
      ],
      "blocked_present": []
    },
    "blocked": {
      "wan_used": false,
      "i2v_used": false,
      "t2v_used": false,
      "platform_api_used": false,
      "posting": false,
      "scheduling": false
    },
    "assessment": "More premium/less explainer-like than hybrid; less immediately explicit about the actual suspicious login/domain mechanism without UI overlays."
  }
}


Question: Final QA for clean AI image cut contact sheet: video should have subtitles only as overlay. Are captions readable/safe? Any boxes, labels, UI overlays, fake text, logos, QR, people/hands? Does the clean image sequence feel premium and does it carry the story enough?

ffprobe -v error -show_entries format=duration,size:stream=codec_type,width,height,r_frame_rate -of json /tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1/calendar-invite-login-trap-30s_clean_ai_cut_v1.mp4 && sha256sum /tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1/calendar-invite-login-trap-30s_clean_ai_cut_v1.mp4


Image loaded into your context — you can see it natively now. Use your built-in vision to answer the user.

Question: Final QA for clean AI image cut contact sheet: video should have subtitles only as overlay. Are captions readable/safe? Any boxes, labels, UI overlays, fake text, logos, QR, people/hands? Does the clean image sequence feel premium and does it carry the story enough?


     1|{
     2|  "NoOverlayPolicy": "pass",
     3|  "allowed_overlays": [
     4|    "subtitles_only"
     5|  ],
     6|  "blocked_overlays_present": [],
     7|  "caption_sync_source": "EdgeTTS WordBoundary offsets",
     8|  "one_word_segment_count": 0,
     9|  "caption_segments": 20,
    10|  "duration_seconds": 41.852,
    11|  "audio_duration_seconds": 41.352,
    12|  "used_keyframes": [
    13|    "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1/ai_keyframes/clean_ai_keyframe_01_openai_codex_gpt-image-2-high.png",
    14|    "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1/ai_keyframes/clean_ai_keyframe_02_openai_codex_gpt-image-2-high.png",
    15|    "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1/ai_keyframes/clean_ai_keyframe_03_openai_codex_gpt-image-2-high.png",
    16|    "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1/ai_keyframes/clean_ai_keyframe_04_openai_codex_gpt-image-2-high.png",
    17|    "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1/ai_keyframes/clean_ai_keyframe_05_openai_codex_gpt-image-2-high.png",
    18|    "/tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1/ai_keyframes/clean_ai_keyframe_06_openai_codex_gpt-image-2-high.png"
    19|  ],
    20|  "story_risk": "medium: images are premium and mood-correct, but mechanism clarity relies mainly on voiceover/subtitles because no UI/domain overlay is allowed."
    21|}


Output:
{
    "programs": [

    ],
    "streams": [
        {
            "codec_type": "video",
            "width": 1080,
            "height": 1920,
            "r_frame_rate": "24/1"
        },
        {
            "codec_type": "audio",
            "r_frame_rate": "0/0"
        }
    ],
    "format": {
        "duration": "41.875000",
        "size": "11575276"
    }
}
6def921d2fe54fd4919e1450231d027fdd8a1833780d3a17d803d7bf7901be0e  /tmp/autoshorts_proof_short_sprint31/calendar-invite-login-trap-30s/clean_ai_cut_v1/calendar-invite-login-trap-30s_clean_ai_cut_v1.mp4