Back Office · office.temerarii.xyz
One published post, granular — the Social for W47 Tue, its copy, its output-policy format, and the video master it derives from. Part of the day's full output set.
postW47-Tue-social-5kindSocialweekW47dayTuedate2026-11-24campaignlongform-youtubecadence5/day floor × 9 channels

Copy the published post text

The Stack
copy ready · render pending

Output-policy spec format · dimensions (asset_specs.output_policy)

formatnative cut · 9:16 · 1:1 · 16:9 dims1080×1920 · 1080×1080 · 1920×1080 cadence5/day floor × 9 channels

Channels 9 destinations

TikTokInstagramLinkedInX/TwitterFacebookThreadsPinterestBlueskyYouTube

This post a distinct social asset — its own angle, storyboard, and cuts

thread-the-stack-W47-Tue
5-distinct-social/day · 9:16 master → 1:1 / 16:9 cuts per channel

Channel-cuts this asset → 9 native captions (one master · per-platform aspect+copy)

ChannelNative caption
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.

Composition layer × scene 6 scenes · this post's OWN storyboard (distinct per asset)

#Layer (comp_id · still · tier)BeatTimecodeMotionLogoAudioVO / on-screen / caption
1s1
matches intent
shared field
signature-3d
hook0–5.0skinetic-buildicon·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
2s2
matches intent
NumberedList
template
teach5.0–13.1skinetic-buildicon·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
3s3
matches intent
BuildLog
template
build13.1–20.9stype-onicon·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
4s4
matches intent
FlowSchematic
template
proof20.9–27.7sreceipts-counticon·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
5s5
first render · fix pending
shared field
signature-3ddead_airgeneric_scene
futurist27.7–32.7sspatial-parallaxicon·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
6s6
first render · fix pending
shared field
signature-3ddead_airgeneric_scene
resolve32.7–37.7scoalescenceicon·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

Cross-links this post in the day's output set