Checklist the per-video bar — engine/sim
86.6/100
quantitative quality · weights learn from your reviews (
engine.sim.memory review social-W30-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 · 58.4s · 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·white-knockout | ♪ bed_in | Cold outreach used to be the same paste-job sent to a thousand strangers who all ignored it. on-screen: Cold outreach used to be copy-paste |
expected on screen: red ground · tetra hero in the shared Signal Field · Nexus leads · node-graph · spatial-parallax · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual node-graphshape tetraground redtreatment white-knockoutmotion spatial-parallaxpower summoninstrument summon→Cold outreach used to be copy-paste | |||||||
| 2 |  matches intent shared field signature-3d | hook | 6.6–13.6s | kinetic-build | icon·white-knockout | ♪ node_lock | Now every line is built from a real signal about that one company, so it reads like homework. on-screen: Now each line is built from real |
expected on screen: red ground · tetra hero in the shared Signal Field · Nexus leads · mark · kinetic-build · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual markshape tetraground redtreatment white-knockoutmotion kinetic-buildpower laser-lockinstrument laser-trace→Now each line is built from real signal | |||||||
| 3 |  matches intent NumberedList template | teach | 13.6–19.5s | kinetic-build | icon·liquid-chrome | ♪ node_lock | Pull public facts first, like recent hires or a launch, with a Clay-style enrichment step. on-screen: Enrich the list with public facts first |
expected on screen: red ground · a NumberedList panel over a dimmed Signal Field · Nexus leads · node-graph · kinetic-build · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id NumberedListvisual node-graphshape tetraground redtreatment liquid-chromemotion kinetic-buildpower morphinstrument morph+laser→Enrich the list with public facts firstcurate items, nodes | |||||||
| 4 |  matches intent ComparisonTable template | proof | 19.5–26.5s | receipts-count | icon·white-knockout | ♪ node_lock | Hand each fact to a model and let it write the opener that points straight at that company. on-screen: A model writes the opener from the |
expected on screen: red ground · a ComparisonTable panel over a dimmed Signal Field · Nexus leads · receipts · receipts-count · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id ComparisonTablevisual receiptsshape tetraground redtreatment white-knockoutmotion receipts-countpower receiptsinstrument spotlight→A model writes the opener from the factcurate colA, colB, rows, statsLabels | |||||||
| 5 |  matches intent LogStream template | diff | 26.5–33.1s | crossfade-8f | icon·liquid-chrome | ♪ node_lock | Anyone can buy a list. We earn the reply by proving we actually looked before we wrote. on-screen: We earn the reply, not buy a |
expected on screen: red ground · a LogStream panel over a dimmed Signal Field · Nexus leads · code · crossfade-8f · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id LogStreamvisual codeshape tetraground redtreatment liquid-chromemotion crossfade-8fpower morphinstrument morph→We earn the reply, not buy a listcurate codeLines, rows | |||||||
| 6 |  matches intent ChecklistCard template | teach | 33.1–39.7s | kinetic-build | icon·white-knockout | ♪ node_lock | Branch the follow-up on what they did: opened, clicked, or went quiet each get a different note. on-screen: Branch the sequence on each reply |
expected on screen: red ground · a ChecklistCard panel over a dimmed Signal Field · Nexus leads · node-graph · kinetic-build · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id ChecklistCardvisual node-graphshape tetraground redtreatment white-knockoutmotion kinetic-buildpower morphinstrument morph+laser→Branch the sequence on each replycurate items, nodes | |||||||
| 7 |  matches intent KpiGrid template | proof | 39.7–45.2s | receipts-count | icon·liquid-chrome | ♪ node_lock | A hundred relevant notes beat ten thousand blasts, because relevance is what gets answered. on-screen: Relevant beats volume, every time |
expected on screen: red ground · a KpiGrid panel over a dimmed Signal Field · Nexus leads · receipts · receipts-count · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id KpiGridvisual receiptsshape tetraground redtreatment liquid-chromemotion receipts-countpower receiptsinstrument spotlight→Relevant beats volume, every timecurate kpis, statsLabels | |||||||
| 8 |  matches intent SchematicCard template | step | 45.2–51.800000000000004s | kinetic-build | icon·white-knockout | ♪ node_lock | Your move: enrich one list with a single public fact per company before you write a word. on-screen: Your move: enrich before you write |
expected on screen: red ground · a SchematicCard panel over a dimmed Signal Field · Nexus leads · pipeline · kinetic-build · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id SchematicCardvisual pipelineshape tetraground redtreatment white-knockoutmotion kinetic-buildpower throwinstrument laser-trace→Your move: enrich before you writecurate nodes, stages, steps | |||||||
| 9 |  matches intent shared field signature-3d | resolve | 51.8–58.4s | coalescence | icon·white-knockout | ♪ bed_out | Outbound at scale is scaling the homework, not the spam. The pitch finally sounds like a person. on-screen: Scale the homework, not the spam |
expected on screen: red ground · tetra hero in the shared Signal Field · Nexus leads · coalescence · coalescence · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape tetraground redtreatment white-knockoutmotion coalescencepower coalescenceinstrument coalescence→Scale the homework, not the spam | |||||||
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)
tiktokCold outreach that doesn't get ignored: enrich each company with a real public fact (Clay-style), let a model write the opener from it, then branch the follow-up on what they did. Scale the homework, not the spam. (AI-assisted.)
instagramScale the homework, not the spam.
Real fact → model writes the opener → branch on reply.
#outbound #sales #leadgen #coldemail #temerarii
linkedinCold outreach used to be one paste-job sent to a thousand strangers who all ignored it. The futurist move: enrich each company with a real public signal (a recent hire, a launch) with a Clay-style step, hand that fact to a model to write the opener, then branch the follow-up on behavior, opened, clicked, or quiet. A hundred relevant notes beat ten thousand blasts. Takeaway: outbound at scale is scaling the homework, not the spam.
xCold outreach that works: enrich each company with a real public fact, let a model write the opener from it, branch follow-ups on behavior. Scale the homework, not the spam. temerarii.xyz
facebookCold outreach used to be one paste-job blasted to a thousand strangers. Better: enrich each company with a real public fact (a recent hire, a launch), let a model write the opener from that fact, and branch the follow-up on what they did. A hundred relevant notes beat ten thousand blasts. Full method on the site.
threadsOutbound at scale: enrich each company with a real public fact, let a model write the opener from it, branch follow-ups on behavior. A hundred relevant notes beat ten thousand blasts.
pinterestHow to do outbound sales at scale without spam: enrich each prospect with a real public fact (Clay-style enrichment), use AI to write a personalized opener from that fact, and branch follow-ups on behavior. B2B outbound, cold email strategy, AI sales sequencing, lead generation.
blueskyOutbound: enrich each company with a real public fact, let a model write the opener, branch follow-ups on behavior. Scale the homework, not the spam. temerarii.xyz
youtubeOutbound at Scale Without the Spam (Enrichment + AI Sequencing)
Cold outreach used to be one paste-job sent to a thousand strangers who all ignored it. We break down the modern method: enrich each company with a real public signal (a recent hire, a launch) using a Clay-style step, hand that fact to a model to write the opener, then branch the follow-up on behavior, opened, clicked, or quiet. A hundred relevant notes beat ten thousand blasts. Scale the homework, not the spam.
Made with The Big T-M. AI-assisted.
more at temerarii.xyz