Checklist the per-video bar — engine/sim
86.6/100
quantitative quality · weights learn from your reviews (
engine.sim.memory review social-W35-Mon-3 good|bad)⚠ 3 flag(s) — not yet ship-ready: copy_genericdup_sequence_across_assetsdup_set_across_assets · 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 · 57.0s · 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 | open | 0–5.5s | spatial-parallax | icon·wireframe | ♪ bed_in | Old go-to-market had reps copy-pasting the same follow-up into a thousand inboxes by hand. on-screen: Reps copy-pasting follow-ups |
expected on screen: black ground · box hero in the shared Signal Field · Faber leads · node-graph · spatial-parallax · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual node-graphshape boxground blacktreatment wireframemotion spatial-parallaxpower summoninstrument summon→Reps copy-pasting follow-ups | |||||||
| 2 |  matches intent shared field signature-3d | hook | 5.5–12.1s | kinetic-build | icon·ember-fill | ♪ node_lock | The point of AI in go-to-market is to automate the boring, not to fake the human parts. on-screen: Automate the boring, keep the human |
expected on screen: black ground · box hero in the shared Signal Field · Faber leads · mark · kinetic-build · icon·ember-fill logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual markshape boxground blacktreatment ember-fillmotion kinetic-buildpower laser-lockinstrument laser-trace→Automate the boring, keep the human | |||||||
| 3 |  matches intent NumberedList template | teach | 12.1–18.7s | kinetic-build | icon·wireframe | ♪ node_lock | Pull public signals like role and recent posts, so the first line is about them, not you. on-screen: Enrich the lead first |
expected on screen: black ground · a NumberedList panel over a dimmed Signal Field · Faber leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id NumberedListvisual node-graphshape boxground blacktreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→Enrich the lead firstcurate items, nodes | |||||||
| 4 |  matches intent RankList template | proof | 18.7–25.7s | receipts-count | icon·white-knockout | ♪ node_lock | We draft with AI and a rep approves it, so a model never sends a cold note unsupervised. on-screen: A draft, never an auto-send |
expected on screen: black ground · a RankList panel over a dimmed Signal Field · Faber leads · receipts · receipts-count · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id RankListvisual receiptsshape boxground blacktreatment white-knockoutmotion receipts-countpower receiptsinstrument spotlight→A draft, never an auto-sendcurate rows, statsLabels | |||||||
| 5 |  matches intent StackTrace template | diff | 25.7–32.3s | crossfade-8f | icon·liquid-chrome | ♪ node_lock | The opening is personal, the body is a tested template, and that split is the whole craft. on-screen: Personal at the top, template below |
expected on screen: black ground · a StackTrace panel over a dimmed Signal Field · Faber leads · code · crossfade-8f · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id StackTracevisual codeshape boxground blacktreatment liquid-chromemotion crossfade-8fpower morphinstrument morph→Personal at the top, template belowcurate codeLines, errMsg, errType, fix, frames | |||||||
| 6 |  matches intent ChecklistCard template | teach | 32.3–38.199999999999996s | kinetic-build | icon·ember-fill | ♪ node_lock | Route every reply into one record so the next touch knows what already got said. on-screen: Log every reply to one place |
expected on screen: black ground · a ChecklistCard panel over a dimmed Signal Field · Faber leads · node-graph · kinetic-build · icon·ember-fill logo · caption bottom-left spec (the prompt): comp_id ChecklistCardvisual node-graphshape boxground blacktreatment ember-fillmotion kinetic-buildpower morphinstrument morph+laser→Log every reply to one placecurate items, nodes | |||||||
| 7 |  matches intent StatScoreboard template | proof | 38.2–44.1s | receipts-count | icon·wireframe | ♪ node_lock | A rep with full context closes more than a tool blasting double the volume blind. on-screen: Context beats volume |
expected on screen: black ground · a StatScoreboard panel over a dimmed Signal Field · Faber leads · receipts · receipts-count · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id StatScoreboardvisual receiptsshape boxground blacktreatment wireframemotion receipts-countpower receiptsinstrument spotlight→Context beats volumecurate pillar, stats, statsLabels | |||||||
| 8 |  matches intent StepFlow template | step | 44.1–50.7s | kinetic-build | icon·white-knockout | ♪ node_lock | Step one is the enrichment step, because a good opener is worth more than a faster send. on-screen: Start with enrichment, not sending |
expected on screen: black ground · a StepFlow panel over a dimmed Signal Field · Faber leads · pipeline · kinetic-build · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id StepFlowvisual pipelineshape boxground blacktreatment white-knockoutmotion kinetic-buildpower throwinstrument laser-trace→Start with enrichment, not sendingcurate stages, steps | |||||||
| 9 |  matches intent shared field signature-3d | resolve | 50.7–57.0s | coalescence | icon·wireframe | ♪ bed_out | AI drafts, humans decide, the customer feels the difference. That is GTM at The Big T-M. on-screen: AI drafts, humans decide |
expected on screen: black ground · box hero in the shared Signal Field · Faber leads · coalescence · coalescence · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape boxground blacktreatment wireframemotion coalescencepower coalescenceinstrument coalescence→AI drafts, humans decide | |||||||
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)
tiktokAI in go-to-market should automate the boring, not fake the human. Enrich each lead with public signals so the opener is about THEM, draft with AI but let a rep approve before send, and log every reply to one record. Context beats blind volume. (AI-assisted edit.)
instagramAutomate the boring, keep the human.
Enrich the lead first.
AI drafts, a rep approves.
Personal top, tested template below.
Log every reply to one place.
#gtm #salesautomation #ai #b2b #temerarii
linkedinTakeaway for go-to-market teams using AI: automate the boring, not the human.
Enrich each lead with public signals (role, recent posts) so the first line is genuinely about them. Draft with AI, but keep a rep in the approval loop so a model never sends a cold note unsupervised. The opener is personal, the body is a tested template, and that split is the craft. Route every reply into a single record so the next touch knows what was already said. A rep with full context closes more than a tool blasting double the volume blind. Start with enrichment, not faster sending.
xGTM truth: AI should automate the boring, not fake the human. Enrich the lead so the opener is about them, draft with AI but a rep approves before send, log every reply to one record. Context beats blind volume. temerarii.com
facebookOld go-to-market had reps copy-pasting follow-ups by hand. AI's real job here is to automate the boring, not fake the human. Enrich each lead with public signals so the opener is about them, draft with AI but let a rep approve before send, and log every reply to one record. A rep with context closes more than a tool blasting blind. Start with enrichment. More at temerarii.com.
threadsAI in go-to-market should automate the boring, not fake the human. Enrich the lead so the opener is about them, draft with AI but let a rep approve the send, log every reply to one record. A rep with context beats a tool blasting double the volume blind.
pinterestAI for go-to-market guide: enrich leads with public signals, draft outreach with AI under rep approval, split personalized openers from tested templates, and log replies to one record. Evergreen sales automation and B2B GTM strategy without losing the human touch.
blueskyGTM truth: AI should automate the boring, not fake the human. Enrich the lead so the opener is about them, draft with AI but a rep approves the send, log every reply to one record. Context beats blind volume. temerarii.com
youtubeAI for Go-To-Market: Automate the Boring, Keep the Human
Old GTM had reps copy-pasting the same follow-up into a thousand inboxes. The point of AI here is to automate the boring, not fake the human. Enrich each lead with public signals so the first line is about them. Draft with AI but keep a rep in the approval loop so a model never sends a cold note unsupervised. The opener is personal, the body is a tested template. Log every reply to one record. A rep with full context closes more than a tool blasting double the volume blind.
More at temerarii.com.
#gtm #salesautomation #ai