Checklist the per-video bar — engine/sim
79.4/100
quantitative quality · weights learn from your reviews (
engine.sim.memory review thread-minus-the-hype-W34-Mon good|bad)⚠ 6 flag(s) — not yet ship-ready: copy_genericlow_vo_coveragedead_airgeneric_scene · see docs/strategy/VIDEO-CHECKLIST.md
Composition comp · template family · expected output
9:16 Reelrendered1:1 Squarepending16:9 Widepending9:16 4Kpending1:1 4Kpending16:9 4KpendingGIF (SMS)pending
expected output: 1/7 rendered — same matrix the /media preview surfaces for this asset.
Composition layer × scene 5 scenes · 26.8s · comp_id + rendered still + tier + the script
| # | Layer (comp_id · still · tier) | Beat | Timecode | Motion | Logo | Audio | VO / on-screen / caption |
|---|---|---|---|---|---|---|---|
| 1 |  matches intent shared field signature-3d | hook | 0–5.0s | kinetic-build | icon·wireframe | ♪ node_lock | Point AI at any site and pull all the data, they pitch, and the demo always works on the one clean page they show you. on-screen: "AI scrapes anything" |
expected on screen: white ground · knot hero in the shared Signal Field · Magister leads · mark · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual markshape knotground whitetreatment wireframemotion kinetic-buildpower laser-lockinstrument laser-trace→"AI scrapes anything" | |||||||
| 2 |  matches intent TerminalRun template | diff | 5.0–11.8s | crossfade-8f | icon·wireframe | ♪ node_lock | What works: scrape against stable structure, validate the shape of what comes back, and alert when it drifts. on-screen: Target stable selectors |
expected on screen: white ground · a TerminalRun panel over a dimmed Signal Field · Magister leads · code · crossfade-8f · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id TerminalRunvisual codeshape knotground whitetreatment wireframemotion crossfade-8fpower morphinstrument morph→Target stable selectorscurate codeLines | |||||||
| 3 |  matches intent ChecklistCard template | teach | 11.8–16.8s | kinetic-build | icon·wireframe | ♪ node_lock | The cost is scrapers are gardens, not statues, so budget a weekly check to fix the selectors the site quietly changed. on-screen: The cost: maintenance |
expected on screen: white ground · a ChecklistCard panel over a dimmed Signal Field · Magister leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id ChecklistCardvisual node-graphshape knotground whitetreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→The cost: maintenancecurate items, nodes | |||||||
| 4 |  first render · fix pending StatScoreboard templatedead_airgeneric_scene | proof | 16.8–21.8s | receipts-count | icon·wireframe | ♪ node_lock | Minus the Hype |
expected on screen: white ground · a StatScoreboard panel over a dimmed Signal Field · Magister leads · receipts · receipts-count · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id StatScoreboardvisual receiptsshape knotground whitetreatment wireframemotion receipts-countpower receiptsinstrument spotlight→Minus the Hypecurate pillar, stats, statsLabels | |||||||
| 5 |  first render · fix pending shared field signature-3ddead_airgeneric_scene | resolve | 21.8–26.8s | coalescence | icon·ember-fill | ♪ bed_out | Minus the Hype |
expected on screen: white ground · knot hero in the shared Signal Field · Magister leads · coalescence · coalescence · icon·ember-fill logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape knotground whitetreatment ember-fillmotion coalescencepower coalescenceinstrument coalescence→Minus the Hype | |||||||
Format stack 3 aspects · same scenes[], re-cropped
9:16
1080×1920
Stories · TikTok · YouTube Shorts · Reels
1:1
1080×1080
LinkedIn · Facebook · Instagram
16:9
1920×1080
X/Twitter · YouTube · LinkedIn video
Channels 9 destinations
LinkedInX/TwitterYouTubeInstagramFacebookThreadsTikTokPinterestBluesky
Social captions supplemental published copy · per channel (comp_id level)
tiktokThey pitch: point AI at any site and pull all the data. What works: scrape against stable structure, check the shape of what comes back, and alert when it drifts. The catch: scrapers are gardens, not statues. You tend them. (AI-assisted)
instagram"AI scrapes anything."
Minus the hype.
What works:
Target stable structure.
Check the shape of the result.
Alert when it drifts.
The cost: scrapers are gardens, not statues.
#webscraping #automation #ai #dataops #buildinpublic
linkedinThe pitch: point AI at any site and pull all the data.
Here is the honest version.
What works: scrape against stable structure, validate the shape of what comes back, and alert when it drifts.
The cost nobody names: scrapers are gardens, not statues. Sites change their layout, and a scraper that ran clean last month quietly returns junk. You budget for upkeep, not a one-time build.
That is the trade. Plan for it before you promise anyone a feed that never breaks.
x"Point AI at any site and pull all the data."
What works: scrape stable structure, validate the result shape, alert on drift.
The cost they skip: scrapers are gardens, not statues. You tend them.
facebookThe pitch sounds easy: point AI at any site and pull all the data. The honest version is that scrapers work when you target stable structure, check the shape of what comes back, and get an alert the moment it drifts. The cost they skip is upkeep, because scrapers are gardens, not statues. Plan for the tending before you promise a feed that never breaks.
threads"AI scrapes anything," they pitch.
What actually works: scrape against stable structure, validate the shape of the result, and alert when it drifts.
The cost they skip: scrapers are gardens, not statues. Sites change, and you tend them. Budget for upkeep, not a one-time build.
pinterestWeb scraping with AI, minus the hype: why scrapers need maintenance. What works is targeting stable structure, validating the result shape, and alerting on drift. The real cost is upkeep, because scrapers are gardens, not statues. A plain guide to reliable data scraping and monitoring for small teams.
bluesky"AI scrapes anything," they pitch.
What works: scrape stable structure, validate the result shape, alert on drift.
The cost they skip: scrapers are gardens, not statues. You tend them.
youtubeTitle: Minus the Hype: "AI Scrapes Anything" (The Real Cost)
The pitch is that you can point AI at any site and pull all the data. The honest version: scraping works when you target stable structure, validate the shape of what comes back, and alert the moment it drifts. The cost they skip is upkeep, because scrapers are gardens, not statues. Sites change their layout and a clean scraper quietly returns junk. Budget for the tending, not a one-time build.