Checklist the per-video bar — engine/sim
98.5/100
quantitative quality · weights learn from your reviews (
engine.sim.memory review social-W27-Wed-3 good|bad)⚠ 1 flag(s) — not yet ship-ready: copy_generic · see docs/strategy/VIDEO-CHECKLIST.md
Composition comp · template family · expected output
9:16 Reelpending1:1 Squarepending16:9 Widepending9:16 4Kpending1:1 4Kpending16:9 4KpendingGIF (SMS)pending
render pending — silent master not yet on disk
expected output: 0/7 rendered — same matrix the /media preview surfaces for this asset.
Composition layer × scene 9 scenes · 61.7s · 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 | open | 0–6.6s | spatial-parallax | icon·ember-fill | ♪ bed_in | Brands used to guess what we wanted with surveys, focus groups, and a lot of confident shrugging. on-screen: Brands used to guess at us |
expected on screen: black ground · torus hero in the shared Signal Field · Nuntius leads · node-graph · spatial-parallax · icon·ember-fill logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual node-graphshape torusground blacktreatment ember-fillmotion spatial-parallaxpower summoninstrument summon→Brands used to guess at us | |||||||
| 2 |  matches intent shared field signature-3d | hook | 6.6–12.899999999999999s | kinetic-build | icon·wireframe | ♪ node_lock | But your market is already talking online, every day, for free, without anyone asking them to. on-screen: People already told you, online |
expected on screen: black ground · torus hero in the shared Signal Field · Nuntius leads · mark · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual markshape torusground blacktreatment wireframemotion kinetic-buildpower laser-lockinstrument laser-trace→People already told you, online | |||||||
| 3 |  matches intent NumberedList template | teach | 12.9–19.2s | kinetic-build | icon·wireframe | ♪ node_lock | Old listening tracked your brand name. Smart listening tracks the problem people describe before they buy. on-screen: Track words, not just your name |
expected on screen: black ground · a NumberedList panel over a dimmed Signal Field · Nuntius leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id NumberedListvisual node-graphshape torusground blacktreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→Track words, not just your namecurate items, nodes | |||||||
| 4 |  matches intent ComparisonTable template | proof | 19.2–26.9s | receipts-count | icon·wireframe | ♪ node_lock | The gold is in the complaints about your competitors. Each one is a feature request with your name on it. on-screen: Read the complaints about rivals |
expected on screen: black ground · a ComparisonTable panel over a dimmed Signal Field · Nuntius leads · receipts · receipts-count · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id ComparisonTablevisual receiptsshape torusground blacktreatment wireframemotion receipts-countpower receiptsinstrument spotlight→Read the complaints about rivalscurate colA, colB, rows, statsLabels | |||||||
| 5 |  matches intent CodeWindow template | diff | 26.9–33.5s | crossfade-8f | icon·wireframe | ♪ node_lock | A dashboard counting mentions tells you how loud. Reading the why tells you what to build next. on-screen: Counting mentions isn't listening |
expected on screen: black ground · a CodeWindow panel over a dimmed Signal Field · Nuntius leads · code · crossfade-8f · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id CodeWindowvisual codeshape torusground blacktreatment wireframemotion crossfade-8fpower morphinstrument morph→Counting mentions isn't listeningcurate codeLines, windowTitle | |||||||
| 6 |  matches intent ChecklistCard template | teach | 33.5–40.8s | kinetic-build | icon·wireframe | ♪ node_lock | Pour the mentions into a model and have it group them by the emotion and the unmet need underneath. on-screen: Let AI sort the mood |
expected on screen: black ground · a ChecklistCard panel over a dimmed Signal Field · Nuntius leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id ChecklistCardvisual node-graphshape torusground blacktreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→Let AI sort the moodcurate items, nodes | |||||||
| 7 |  matches intent KpiGrid template | proof | 40.8–47.8s | receipts-count | icon·wireframe | ♪ node_lock | Now the angry reviews of the other guy quietly write your product roadmap, and it costs you nothing. on-screen: They write your roadmap free |
expected on screen: black ground · a KpiGrid panel over a dimmed Signal Field · Nuntius leads · receipts · receipts-count · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id KpiGridvisual receiptsshape torusground blacktreatment wireframemotion receipts-countpower receiptsinstrument spotlight→They write your roadmap freecurate kpis, statsLabels | |||||||
| 8 |  matches intent SchematicCard template | step | 47.8–55.099999999999994s | kinetic-build | icon·wireframe | ♪ node_lock | So the move is track the problem words, read the why, and let a model group the unmet needs. on-screen: Step: track problems, read why, group |
expected on screen: black ground · a SchematicCard panel over a dimmed Signal Field · Nuntius leads · pipeline · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id SchematicCardvisual pipelineshape torusground blacktreatment wireframemotion kinetic-buildpower throwinstrument laser-trace→Step: track problems, read why, groupcurate nodes, stages, steps | |||||||
| 9 |  matches intent shared field signature-3d | resolve | 55.1–61.7s | coalescence | icon·ember-fill | ♪ bed_out | Stop guessing, start reading. The Big T-M listens to the room you are trying to sell to. on-screen: Stop guessing, start reading |
expected on screen: black ground · torus hero in the shared Signal Field · Nuntius leads · coalescence · coalescence · icon·ember-fill logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape torusground blacktreatment ember-fillmotion coalescencepower coalescenceinstrument coalescence→Stop guessing, start reading | |||||||
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)
tiktokSocial listening done right (AI-assisted). Brands used to guess with surveys. But your market is already talking online for free. Don't just track your brand name, track the PROBLEM people describe before they buy. The gold is in complaints about your competitors, each one is a feature request with your name on it. Let a model group them by unmet need.
instagramStop guessing what people want.
They're already telling you online.
Track the problem, not just your name.
Read competitor complaints.
They write your roadmap free.
#sociallistening #marketresearch #socialmedia #brandstrategy #customerinsights
linkedinBrands used to guess what customers wanted with surveys, focus groups, and a lot of confident shrugging. Meanwhile your market is already talking online, every day, for free.
How to actually listen:
1. Track the problem, not just your brand name. Follow the words people use to describe a need before they buy.
2. Read complaints about your competitors. Each one is a feature request with your name on it.
3. Don't stop at counting mentions, that tells you how loud. Reading the why tells you what to build. Pour the mentions into a model and group them by the emotion and unmet need underneath.
Done right, the angry reviews of the other guy quietly write your product roadmap, at no cost. Stop guessing, start reading. AI-assisted and disclosed.
xStop guessing what customers want, they're already telling you online for free. Track the PROBLEM, not just your brand name, and read competitor complaints, each one is a feature request with your name on it. temerarii.com
facebookBrands used to guess what customers wanted with surveys and focus groups. But your market is already talking online, every day, for free. Don't just track your brand name, track the problem people describe before they buy. The gold is in complaints about your competitors: each one is a feature request with your name on it. Let a model group them by unmet need. Stop guessing, start reading. More at temerarii.com.
threadsStop guessing what customers want, they're already telling you online for free. Track the PROBLEM, not just your brand name, and read competitor complaints. Each one is a feature request with your name on it.
pinterestSocial listening that builds your roadmap: track the problems people describe, read complaints about competitors, and use AI to group mentions by unmet need. An evergreen approach to market research and customer insights from public conversation.
blueskyStop guessing what customers want, they're already telling you online for free. Track the PROBLEM, not just your brand name, and read competitor complaints. Each one is a feature request with your name on it. temerarii.com
youtubeSocial Listening Done Right: Track Problems, Read Competitor Complaints & Group by Need
Brands used to guess what customers wanted with surveys and focus groups. Meanwhile your market is already talking online, every day, for free. This covers how to actually listen: track the problem people describe before they buy, not just your brand name; read complaints about your competitors, because each is a feature request with your name on it; and use a model to group mentions by emotion and unmet need instead of just counting them. Done right, your competitor's angry reviews write your roadmap. AI-assisted and disclosed. More at temerarii.com.