Checklist the per-video bar — engine/sim
81.6/100
quantitative quality · weights learn from your reviews (
engine.sim.memory review thread-minus-the-hype-W32-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 · 29.9s · 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 | 0–7.2s | kinetic-build | icon·liquid-chrome | ♪ node_lock | AI writes all your tests, perfect coverage, they claim. It writes tests that pass even when the code is broken. on-screen: "AI tests for you" |
expected on screen: black 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 blacktreatment liquid-chromemotion kinetic-buildpower laser-lockinstrument laser-trace→"AI tests for you" | |||||||
| 2 |  matches intent StackTrace template | diff | 7.2–14.9s | crossfade-8f | icon·ember-fill | ♪ node_lock | What works: you describe the behavior and the edge case, AI writes a test that fails first, then the code that makes it on-screen: Write the failing test first |
expected on screen: black ground · a StackTrace panel over a dimmed Signal Field · Lumen leads · code · crossfade-8f · icon·ember-fill logo · caption bottom-left spec (the prompt): comp_id StackTracevisual codeshape octaground blacktreatment ember-fillmotion crossfade-8fpower morphinstrument morph→Write the failing test firstcurate codeLines, errMsg, errType, fix, frames | |||||||
| 3 |  matches intent ChecklistCard template | teach | 14.9–19.9s | kinetic-build | icon·wireframe | ♪ node_lock | The real cost is knowing what correct means before the model does. You name the rule, then let the AI fill in the code. on-screen: The cost: defining behavior |
expected on screen: black ground · a ChecklistCard panel over a dimmed Signal Field · Lumen leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id ChecklistCardvisual node-graphshape octaground blacktreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→The cost: defining behaviorcurate items, nodes | |||||||
| 4 |  first render · fix pending ComparisonTable templatedead_airgeneric_scene | proof | 19.9–24.9s | receipts-count | icon·white-knockout | ♪ node_lock | Minus the Hype |
expected on screen: black 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 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 | 24.9–29.9s | coalescence | icon·ember-fill | ♪ bed_out | Minus the Hype |
expected on screen: black ground · octa hero in the shared Signal Field · Lumen leads · coalescence · coalescence · icon·ember-fill logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape octaground blacktreatment 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)
tiktokThe hype: AI writes all your tests, perfect coverage. The catch: it writes tests that pass even when the code is broken. What works: you describe the behavior, AI writes a failing test first, then writes the code to make it pass. The cost is knowing what correct means. (AI-assisted)
instagramAI tests for you. Sort of.
The lie: perfect coverage, hands off.
The truth: it writes tests that pass on broken code.
What works:
You name the behavior.
AI writes the failing test first.
Then the code that makes it pass.
You still have to know what correct means.
#aitesting #softwaredev #tdd #codingtips #buildinpublic
linkedinThere is a claim going around that AI can write all your tests and hand you perfect coverage. In practice it often writes tests that pass even when the underlying code is broken, which is worse than no tests at all.
Here is what actually works: you describe the behavior and the edge case in plain language. The AI writes a test that fails first. Then it writes the code that makes that test pass. The order matters.
The real cost is not the tooling. It is knowing what correct looks like before the model does. The judgment stays with you.
xClaim: AI writes all your tests, perfect coverage. Reality: it writes tests that pass on broken code. What works: name the behavior, AI writes a failing test first, then code to pass it. The cost is knowing what correct means. temerarii.xyz
facebookPeople say AI can write all your tests for perfect coverage. The problem is it often writes tests that pass even when the code is broken. Here is the move that works: you describe the behavior, the AI writes a test that fails first, then writes the code to make it pass. You still have to know what correct means. Read more at temerarii.xyz.
threadsAI writes all your tests, perfect coverage, they say. Reality: it writes tests that pass even when the code is broken. The fix is order. You name the behavior, AI writes a failing test first, then the code to pass it. The cost is knowing what correct means before the model does.
pinterestAI test writing explained without the hype. Why AI-generated tests can pass on broken code, how test-driven development with AI actually works, writing a failing test first then the code, and why defining correct behavior is still a human job.
blueskyClaim: AI writes all your tests, perfect coverage. Reality: it writes tests that pass on broken code. What works: name the behavior, AI writes a failing test first, then code to pass it. The cost is knowing what correct means.
youtubeTitle: AI Can't Write Your Tests For You (Here's What Actually Works)
The hype says AI gives you perfect test coverage hands-free. The truth is it often writes tests that pass even when the code is broken. The method that works: you describe the behavior and the edge case, the AI writes a test that fails first, then writes the code to make it pass. The cost is knowing what correct means before the model does. More at temerarii.xyz.