Checklist the per-video bar — engine/sim
82.4/100
quantitative quality · weights learn from your reviews (
engine.sim.memory review thread-minus-the-hype-W34-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 · 29.0s · 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 | 0–7.6s | kinetic-build | icon·wireframe | ♪ node_lock | Automated nurture sequences close deals on autopilot, they say. Then it emails a closed-won customer to come buy again. on-screen: "AI nurtures your leads" |
expected on screen: white ground · cone hero in the shared Signal Field · Augur leads · mark · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual markshape coneground whitetreatment wireframemotion kinetic-buildpower laser-lockinstrument laser-trace→"AI nurtures your leads" | |||||||
| 2 |  matches intent LogStream template | diff | 7.6–13.6s | crossfade-8f | icon·wireframe | ♪ node_lock | What works: every send checks the lead's actual stage and exits the sequence when they convert. on-screen: Branch on real state |
expected on screen: white ground · a LogStream panel over a dimmed Signal Field · Augur leads · code · crossfade-8f · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id LogStreamvisual codeshape coneground whitetreatment wireframemotion crossfade-8fpower morphinstrument morph→Branch on real statecurate codeLines, rows | |||||||
| 3 |  matches intent NumberedList template | teach | 13.6–19.0s | kinetic-build | icon·wireframe | ♪ node_lock | The cost is mapping the states before you automate them. Draw your lead stages on paper first. on-screen: The cost: the logic |
expected on screen: white 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 whitetreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→The cost: the logiccurate items, nodes | |||||||
| 4 |  first render · fix pending ComparisonTable templatedead_airgeneric_scene | proof | 19.0–24.0s | receipts-count | icon·wireframe | ♪ node_lock | Minus the Hype |
expected on screen: white ground · a ComparisonTable panel over a dimmed Signal Field · Augur leads · receipts · receipts-count · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id ComparisonTablevisual receiptsshape coneground whitetreatment wireframemotion receipts-countpower receiptsinstrument spotlight→Minus the Hypecurate colA, colB, rows, statsLabels | |||||||
| 5 |  first render · fix pending shared field signature-3ddead_airgeneric_scene | resolve | 24.0–29.0s | coalescence | icon·wireframe | ♪ bed_out | Minus the Hype |
expected on screen: white 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 whitetreatment 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)
tiktokThey say automated nurture closes deals on autopilot. Then it emails a closed-won customer to buy again. What works: every send checks the lead's real stage and exits when they convert. The cost: map the stages on paper first. (AI-assisted)
instagram"AI nurtures your leads."
Minus the hype.
What works:
Every send checks the real stage.
Exit the sequence on conversion.
The cost: map your stages first.
#leadnurture #marketingautomation #crm #ai #buildinpublic
linkedinThe pitch: automated nurture sequences close deals on autopilot.
Then the sequence emails a closed-won customer asking them to come buy again.
What works: every send checks the lead's actual stage and exits the sequence the moment they convert.
The cost they skip: you have to map the lead states before you automate them. Draw your stages on paper first, decide what moves a lead between them, then wire the branching. The automation is the easy part; the state map is the work.
x"Automated nurture closes deals on autopilot."
Then it emails a closed-won customer to buy again.
What works: each send checks the real stage and exits on conversion.
The cost: map the states first.
facebookThe pitch is that automated nurture sequences close deals on autopilot. Then the sequence emails a customer who already bought, asking them to buy again. What works is simpler: every send checks the lead's actual stage and exits the moment they convert. The cost they skip is the thinking. Map your lead stages on paper first, then automate them.
threads"Automated nurture closes deals on autopilot," they say.
Then it emails a closed-won customer to come buy again.
What works: every send checks the lead's real stage and exits when they convert.
The cost: map the states before you automate. Draw your lead stages on paper first.
pinterestLead nurture automation, minus the hype: why sequences email the wrong people. What works is checking each lead's real stage on every send and exiting on conversion. The real cost is mapping your lead stages first. A plain guide to building nurture flows that branch on actual state, not guesses.
bluesky"Automated nurture closes deals on autopilot."
Then it emails a closed-won customer to buy again.
What works: each send checks the real stage, exits on conversion. The cost: map the states first.
youtubeTitle: Minus the Hype: "AI Nurtures Your Leads" (The Real Cost)
The pitch is that automated nurture sequences close deals on autopilot. Then the sequence emails a closed-won customer asking them to come buy again. What works: every send checks the lead's actual stage and exits the moment they convert. The cost they skip is mapping the lead states before you automate them. Draw your lead stages on paper first, decide what moves a lead between them, then wire the branching.