Checklist the per-video bar — engine/sim
95.1/100
quantitative quality · weights learn from your reviews (
engine.sim.memory review thread-minus-the-hype-W24-Mon good|bad)⚠ 2 flag(s) — not yet ship-ready: copy_genericdead_air · 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 · 29.4s · 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 | 0–6.1s | kinetic-build | icon·liquid-chrome | ♪ node_lock | You have seen the demo. One prompt, a finished app. What they cut is the four hours of debugging after. on-screen: "One prompt, full app" |
expected on screen: red ground · octa hero in the shared Signal Field · Lumen leads · mark · kinetic-build · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual markshape octaground redtreatment liquid-chromemotion kinetic-buildpower laser-lockinstrument laser-trace→"One prompt, full app" | |||||||
| 2 |  matches intent LogStream template | diff | 6.1–13.1s | crossfade-8f | icon·white-knockout | ♪ node_lock | The real workflow: AI scaffolds the boring 80 percent, you own the schema, the auth, and the edge cases. on-screen: Scaffold, then steer |
expected on screen: red ground · a LogStream panel over a dimmed Signal Field · Lumen leads · code · crossfade-8f · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id LogStreamvisual codeshape octaground redtreatment white-knockoutmotion crossfade-8fpower morphinstrument morph→Scaffold, then steercurate codeLines, rows | |||||||
| 3 |  first render · fix pending ChecklistCard templatedead_air | teach | 13.1–18.1s | kinetic-build | icon·liquid-chrome | ♪ node_lock | The cost is reading every line it writes, then running the tests yourself before you trust the schema and the auth in production. on-screen: The cost: you review |
expected on screen: red ground · a ChecklistCard panel over a dimmed Signal Field · Lumen leads · node-graph · kinetic-build · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id ChecklistCardvisual node-graphshape octaground redtreatment liquid-chromemotion kinetic-buildpower morphinstrument morph+laser→The cost: you reviewcurate items, nodes | |||||||
| 4 |  matches intent ComparisonTable template | proof | 18.1–24.400000000000002s | receipts-count | icon·white-knockout | ♪ node_lock | The receipt: our whole office is AI-built, and every line still got read before it shipped. on-screen: AI-built. Human-read. |
expected on screen: red ground · a ComparisonTable panel over a dimmed Signal Field · Lumen leads · receipts · receipts-count · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id ComparisonTablevisual receiptsshape octaground redtreatment white-knockoutmotion receipts-countpower receiptsinstrument spotlight→AI-built. Human-read.curate colA, colB, rows, statsLabels | |||||||
| 5 |  matches intent shared field signature-3d | resolve | 24.4–29.4s | coalescence | icon·white-knockout | ♪ bed_out | Demo dazzle, real method, honest cost. The Big T-M, signing off. on-screen: Demo, method, cost |
expected on screen: red ground · octa hero in the shared Signal Field · Lumen leads · coalescence · coalescence · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape octaground redtreatment white-knockoutmotion coalescencepower coalescenceinstrument coalescence→Demo, method, cost | |||||||
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)
tiktokYou saw the demo: one prompt, a finished app. What they cut is the four hours of debugging after. AI scaffolds the boring 80 percent. You own the schema, the auth, and the edge cases. The cost is reading every line. (AI-assisted)
instagramOne prompt.
A finished app.
The demo never shows the four hours of debugging after.
The real workflow:
AI scaffolds the boring 80 percent.
You own the schema, auth, and edge cases.
The cost is reading every line it writes.
#ai #coding #buildinpublic #vibecoding #devtools
linkedinYou have seen the demo: one prompt, a finished app. What gets cut from the clip is the four hours of debugging after.
Here is the workflow that actually holds up. AI scaffolds the boring 80 percent: the routes, the forms, the wiring. You own the schema, the auth, and the edge cases, because those are where real apps break.
The cost is not zero. It is reading every line the model writes before you ship it. That is the trade, and it is a good one.
xThe demo: one prompt, a finished app. What they cut: the four hours of debugging after. AI scaffolds the boring 80%. You own the schema, auth, and edge cases. The cost is reading every line. temerarii.com
facebookYou have seen the demo where one prompt builds a finished app. What the clip cuts is the four hours of debugging after. The honest workflow: let AI scaffold the boring 80 percent, then own the schema, the auth, and the edge cases yourself. The real cost is reading every line it writes. Try it on your next small project.
threadsThe demo shows one prompt and a finished app. It cuts the four hours of debugging after.
Real workflow: AI scaffolds the boring 80 percent. You own the schema, the auth, and the edge cases. The cost is reading every line it writes. That is the part nobody films.
pinterestAI app building, minus the hype: the real workflow. AI scaffolds the boring 80 percent of an app. You own the schema, the auth, and the edge cases. The hidden cost the demos skip is reading every line of generated code before you ship. A practical guide to coding with AI.
blueskyThe demo: one prompt, a finished app. What they cut: the four hours of debugging. AI scaffolds the boring 80%. You own the schema, auth, and edge cases. The cost is reading every line.
youtubeTitle: One Prompt, Full App? What the AI Coding Demo Cuts Out
You have seen the demo: one prompt, a finished app. What they cut is the four hours of debugging after. Here is the workflow that actually holds up: AI scaffolds the boring 80 percent, and you own the schema, the auth, and the edge cases. The cost is reading every line it writes. We walk through the honest version of building with AI.