Checklist the per-video bar — engine/sim
80.6/100
quantitative quality · weights learn from your reviews (
engine.sim.memory review thread-minus-the-hype-W38-Thu 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 · 25.8s · 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·liquid-chrome | ♪ node_lock | Every demo shows it. One prompt. A finished app in sixty seconds. on-screen: One prompt builds the app |
expected on screen: black ground · cone hero in the shared Signal Field · Augur leads · mark · kinetic-build · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual markshape coneground blacktreatment liquid-chromemotion kinetic-buildpower laser-lockinstrument laser-trace→One prompt builds the app | |||||||
| 2 |  matches intent JsonDiff template | diff | 5.0–10.8s | crossfade-8f | icon·ember-fill | ♪ node_lock | What works: let the model scaffold the boring parts — routes, schemas, test stubs. on-screen: Reality: scaffold, then own it |
expected on screen: black ground · a JsonDiff panel over a dimmed Signal Field · Augur leads · code · crossfade-8f · icon·ember-fill logo · caption bottom-left spec (the prompt): comp_id JsonDiffvisual codeshape coneground blacktreatment ember-fillmotion crossfade-8fpower morphinstrument morph→Reality: scaffold, then own itcurate codeLines, fileName, lines | |||||||
| 3 |  matches intent NumberedList template | teach | 10.8–15.8s | kinetic-build | icon·wireframe | ♪ node_lock | The real cost of trusting the demo is a database open to the internet. on-screen: The cost: silent security holes |
expected on screen: black ground · a NumberedList panel over a dimmed Signal Field · Augur leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id NumberedListvisual node-graphshape coneground blacktreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→The cost: silent security holescurate items, nodes | |||||||
| 4 |  first render · fix pending ComparisonTable templatedead_airgeneric_scene | proof | 15.8–20.8s | receipts-count | icon·white-knockout | ♪ node_lock | Minus the Hype |
expected on screen: black ground · a ComparisonTable panel over a dimmed Signal Field · Augur leads · receipts · receipts-count · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id ComparisonTablevisual receiptsshape coneground blacktreatment white-knockoutmotion receipts-countpower receiptsinstrument spotlight→Minus the Hypecurate colA, colB, rows, statsLabels | |||||||
| 5 |  first render · fix pending shared field signature-3ddead_airgeneric_scene | resolve | 20.8–25.8s | coalescence | icon·wireframe | ♪ bed_out | Minus the Hype |
expected on screen: black ground · cone hero in the shared Signal Field · Augur leads · coalescence · coalescence · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape coneground blacktreatment wireframemotion 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)
tiktokEvery demo: one prompt, a finished app in sixty seconds. Reality: let the model scaffold the boring parts, then own the code. The real cost of trusting the demo is a database left open to the internet. (AI-assisted)
instagramOne prompt builds the app?
Not the whole app.
Let AI scaffold the boring parts.
Then read and own the code.
The cost of trusting the demo: a database open to the internet.
#aitools #coding #appdevelopment #softwaredevelopment #buildinpublic
linkedinEvery demo shows a single prompt becoming a finished app in sixty seconds.
What actually works: let the model scaffold the boring parts, the routes, schemas, and test stubs. Then you read and own the rest.
The real cost of trusting the demo: a database left open to the internet. Scaffold with AI, but own the code.
xEvery demo: one prompt, a finished app in 60 seconds.
Reality: let AI scaffold the boring parts, then own the code.
The cost of trusting the demo is a database open to the internet.
temerarii.xyz
facebookEvery demo shows one prompt becoming a finished app in sixty seconds.
What actually works: let the model scaffold the boring parts like routes and schemas. Then read and own the code.
The real cost of trusting the demo is a database open to the internet. More at temerarii.xyz.
threadsEvery demo: one prompt, a finished app in sixty seconds.
What works: let the model scaffold the boring parts, then own the code yourself.
The real cost of trusting the demo is a database left open to the internet.
pinterestCan one prompt build a whole app? Here is the honest take on AI coding tools: let the model scaffold the boring parts like routes, schemas, and test stubs, then read and own the code. The real cost of trusting the demo is a database left open to the internet.
blueskyEvery demo: one prompt, a finished app in 60 seconds. Reality: let AI scaffold the boring parts, then own the code. The cost of trusting the demo is a database left open to the internet.
youtubeTitle: Can One Prompt Build Your Whole App? (The Honest Take on AI Coding)
Every demo shows a single prompt becoming a finished app in sixty seconds. What actually works: let the model scaffold the boring parts, the routes, schemas, and test stubs, then read and own the code. The real cost of trusting the demo is a database left open to the internet.