Checklist the per-video bar — engine/sim
78.2/100
quantitative quality · weights learn from your reviews (
engine.sim.memory review thread-field-notes-W44-Sat 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 · 25.0s · 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 | 0–5.0s | kinetic-build | icon·color | ♪ node_lock | Field note. People bail somewhere in your signup and you have no idea which step. on-screen: They left, you don't know where |
expected on screen: white ground · torus hero in the shared Signal Field · Nuntius leads · mark · kinetic-build · icon·color logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual markshape torusground whitetreatment colormotion kinetic-buildpower laser-lockinstrument laser-trace→They left, you don't know where | |||||||
| 2 |  matches intent ChecklistCard template | teach | 5.0–10.0s | kinetic-build | icon·color | ♪ node_lock | Old way: you guess which page loses people, then argue about it in a meeting. on-screen: Build the funnel, see the drop |
expected on screen: white ground · a ChecklistCard panel over a dimmed Signal Field · Nuntius leads · node-graph · kinetic-build · icon·color logo · caption bottom-left spec (the prompt): comp_id ChecklistCardvisual node-graphshape torusground whitetreatment colormotion kinetic-buildpower morphinstrument morph+laser→Build the funnel, see the dropcurate items, nodes | |||||||
| 3 |  matches intent CodeWindow template | diff | 10.0–15.0s | crossfade-8f | icon·color | ♪ node_lock | Build one funnel from your real events, then stare at the single biggest drop. on-screen: Find your worst step |
expected on screen: white ground · a CodeWindow panel over a dimmed Signal Field · Nuntius leads · code · crossfade-8f · icon·color logo · caption bottom-left spec (the prompt): comp_id CodeWindowvisual codeshape torusground whitetreatment colormotion crossfade-8fpower morphinstrument morph→Find your worst stepcurate codeLines, windowTitle | |||||||
| 4 |  first render · fix pending PipelineMap templatedead_airgeneric_scene | proof | 15.0–20.0s | receipts-count | icon·color | ♪ node_lock | Field Notes |
expected on screen: white ground · a PipelineMap panel over a dimmed Signal Field · Nuntius leads · receipts · receipts-count · icon·color logo · caption bottom-left spec (the prompt): comp_id PipelineMapvisual receiptsshape torusground whitetreatment colormotion receipts-countpower receiptsinstrument spotlight→Field Notescurate stages, statsLabels | |||||||
| 5 |  first render · fix pending shared field signature-3ddead_airgeneric_scene | resolve | 20.0–25.0s | coalescence | icon·wireframe | ♪ bed_out | Field Notes |
expected on screen: white ground · torus hero in the shared Signal Field · Nuntius leads · coalescence · coalescence · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape torusground whitetreatment wireframemotion coalescencepower coalescenceinstrument coalescence→Field Notes | |||||||
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)
tiktokField note: people bail somewhere in your signup and you have no idea which step. Build one funnel from your real events, then stare at the biggest drop. That step is your fix. (AI-assisted)
instagramField note.
They left.
You don't know where.
Old way: guess which page loses people.
Fix: build one funnel from real events.
Stare at the biggest drop.
#analytics #productdesign #ux #funnel #buildinpublic
linkedinField note: people bail somewhere in your signup, and you have no idea which step.
The old way is to guess which page loses people, then argue about it in a meeting. The better move: build one funnel from your real events, then stare at the single biggest drop.
That one step is where your fix lives. You do not need more opinions; you need the event data and one honest chart.
xField note: people bail in your signup and you don't know which step. Build one funnel from your real events, then stare at the biggest drop. That step is your fix. office.temerarii.xyz
facebookField note: people bail somewhere in your signup and you have no idea which step. Stop guessing in meetings. Build one funnel from your real events, then stare at the single biggest drop. That step is where your fix lives. Stuck on signups? Ask us how we set up the funnel.
threadsField note.
People bail somewhere in your signup and you have no idea which step.
Old way: guess which page loses people, then argue in a meeting.
Fix: build one funnel from your real events and stare at the biggest drop.
pinterestSignup funnel analytics: how to find where users drop off. Stop guessing which page loses people. Build one funnel from your real events and look at the single biggest drop. That step is your fix. Product analytics and UX conversion tips.
blueskyField note: people bail in your signup and you don't know which step. Build one funnel from your real events, then stare at the biggest drop. That step is your fix.
youtubeTitle: Find Where Users Drop Off in Your Signup (Field Note)
People bail somewhere in your signup and you have no idea which step. The old way is to guess which page loses people and argue about it in a meeting. The better move: build one funnel from your real events, then stare at the single biggest drop. That one step is where your fix lives. You do not need more opinions, just the event data and one honest chart.