Checklist the per-video bar — engine/sim
86.2/100
quantitative quality · weights learn from your reviews (
engine.sim.memory review thread-the-stack-W47-Tue good|bad)⚠ 5 flag(s) — not yet ship-ready: low_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 6 scenes · 37.7s · 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 | The tool is Replicate, which puts any AI model behind one simple API call. on-screen: Replicate cold starts hurt |
expected on screen: red ground · dodeca hero in the shared Signal Field · Mensor leads · mark · kinetic-build · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual markshape dodecaground redtreatment liquid-chromemotion kinetic-buildpower laser-lockinstrument laser-trace→Replicate cold starts hurt | |||||||
| 2 |  matches intent NumberedList template | teach | 5.0–13.1s | kinetic-build | icon·white-knockout | ♪ node_lock | For a model you run a lot, we use a Replicate deployment. That is a warm instance that stays on. on-screen: Deploy = pinned warm instance |
expected on screen: red ground · a NumberedList panel over a dimmed Signal Field · Mensor leads · node-graph · kinetic-build · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id NumberedListvisual node-graphshape dodecaground redtreatment white-knockoutmotion kinetic-buildpower morphinstrument morph+laser→Deploy = pinned warm instancecurate items, nodes | |||||||
| 3 |  matches intent BuildLog template | build | 13.1–20.9s | type-on | icon·liquid-chrome | ♪ node_lock | Now the model answers right away on every call, so your AI tools feel fast, not slow. on-screen: Instant generation, every time |
expected on screen: red ground · a BuildLog panel over a dimmed Signal Field · Mensor leads · code · type-on · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id BuildLogvisual codeshape dodecaground redtreatment liquid-chromemotion type-onpower summoninstrument draw-on→Instant generation, every timecurate codeLines, lines | |||||||
| 4 |  matches intent FlowSchematic template | proof | 20.9–27.7s | receipts-count | icon·white-knockout | ♪ node_lock | So take the one model you call most and stand up a deployment for it. Compare the first response. Night and day. on-screen: Deploy your hot model |
expected on screen: red ground · a FlowSchematic panel over a dimmed Signal Field · Mensor leads · receipts · receipts-count · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id FlowSchematicvisual receiptsshape dodecaground redtreatment white-knockoutmotion receipts-countpower receiptsinstrument spotlight→Deploy your hot modelcurate stages, statsLabels | |||||||
| 5 |  first render · fix pending shared field signature-3ddead_airgeneric_scene | futurist | 27.7–32.7s | spatial-parallax | icon·liquid-chrome | ♪ bed | The Stack |
expected on screen: red ground · dodeca hero in the shared Signal Field · Mensor leads · spatial-parallax · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldshape dodecaground redtreatment liquid-chromemotion spatial-parallaxpower spatial-parallaxinstrument laser-fire→The Stack | |||||||
| 6 |  first render · fix pending shared field signature-3ddead_airgeneric_scene | resolve | 32.7–37.7s | coalescence | icon·white-knockout | ♪ bed_out | The Stack |
expected on screen: red ground · dodeca hero in the shared Signal Field · Mensor leads · coalescence · coalescence · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape dodecaground redtreatment white-knockoutmotion coalescencepower coalescenceinstrument coalescence→The Stack | |||||||
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 Stack: Replicate runs any AI model behind one API. The catch is cold starts. For a model you call a lot, use a Replicate deployment, a warm instance that stays on. The model replies right away every time. Stand one up and compare. (AI-assisted)
instagramThe Stack: Replicate
Any AI model, one API.
The catch: cold starts hurt.
Fix: a deployment.
A pinned warm instance that stays on.
Instant replies, every call.
#AI #replicate #devtools #MLops #stack
linkedinThe Stack: Replicate, which puts any AI model behind one API call. The catch is cold starts on the public endpoint.
For anything you run constantly, use a Replicate deployment, a pinned warm instance that stays on instead of the public cold endpoint. The model replies right away on every call, so user-facing AI features feel fast instead of suspiciously slow.
Take the one model you call most, stand up a deployment, and compare the first response. Night and day.
xThe Stack: Replicate runs any AI model behind one API. Cold starts hurt.
Fix: a deployment, a warm instance that stays on. Instant replies every call. Stand one up and compare. temerarii.xyz
facebookThis week in The Stack: Replicate puts any AI model behind one API call, but the public endpoint has slow cold starts. For a model you call a lot, use a Replicate deployment, a warm instance that stays on, so it replies right away every time. Stand one up and compare. More at temerarii.xyz.
threadsThe Stack: Replicate runs any AI model behind one API call. The catch is cold starts.
For a model you call a lot, use a Replicate deployment, a warm instance that stays on instead of the cold public endpoint. Now it replies right away every call, so your AI features feel fast, not slow. Stand one up and compare the first response.
pinterestHow to fix slow AI model cold starts on Replicate: for any model you call constantly, use a Replicate deployment, a pinned warm instance that stays on instead of the public cold endpoint. The model responds instantly on every call, so user-facing AI features feel fast. MLops and AI infrastructure tips.
blueskyThe Stack: Replicate runs any AI model behind one API. Cold starts hurt. Fix: a deployment, a warm instance that stays on. Instant replies every call. Stand one up and compare.
youtubeTitle: The Stack: Fix Replicate Cold Starts With a Deployment
Replicate puts any AI model behind one API call, but the public endpoint has slow cold starts. We show the fix: for a model you call constantly, use a Replicate deployment, a pinned warm instance that stays on. The model replies right away every call, so user-facing AI features feel fast. Stand one up and compare the first response. temerarii.xyz.