Checklist the per-video bar — engine/sim
100.0/100
quantitative quality · weights learn from your reviews (
engine.sim.memory review longform-W46-Wed good|bad)✓ all static checks pass — one-focal/scene · tier-by-beat · one-track caption · colorway · cast+shape correct · no banned/fabricated. (audio + visual tiers verify on the rendered finals — Phase 2)
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 6 scenes · 123.7s · 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 | 0–20.2s | spatial-parallax | icon·white-knockout | ♪ bed_in | Strategic partnerships sound like boardrooms and handshakes. They are simpler than that. A partnership is two businesses sending each other customers because it helps both. Today I show you how an AI agent finds those pairings and drafts the offer, so this week's theme, access into advantage, becomes a real introduction instead of a hope. on-screen: Partnerships, in plain terms |
expected on screen: red ground · dodeca hero in the shared Signal Field · Mensor leads · node-graph · spatial-parallax · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual node-graphshape dodecaground redtreatment white-knockoutmotion spatial-parallaxpower summoninstrument summon→Partnerships, in plain terms | |||||||
| 2 |  matches intent NumberedList template | teach | 20.2–41.099999999999994s | kinetic-build | icon·white-knockout | ♪ node_lock | First move. Tell the agent to find companies that serve your exact customer but sell something different. If you do roofing, that is the solar installer, not the rival roofer. Use a scraper through Apify to pull their names, size, and contact. The model reads the whole field and hands you a short list of real overlaps. on-screen: Find who shares your buyer |
expected on screen: red ground · a NumberedList panel over a dimmed Signal Field · Mensor leads · node-graph · kinetic-build · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id NumberedListvisual node-graphshape dodecaground redtreatment white-knockoutmotion kinetic-buildpower morphinstrument morph+laser→Find who shares your buyercurate items, nodes | |||||||
| 3 |  matches intent ChecklistCard template | teach | 41.1–61.3s | kinetic-build | icon·liquid-chrome | ♪ node_lock | Second move. Have the model write down what each side actually gives and gets. You send them warm leads after a roof job, they mention you when a customer needs gutters. Spell it out so the first email is a clear deal, not a vague coffee invite. The agent drafts the trade in two sentences. on-screen: Design the trade before you ask |
expected on screen: red ground · a ChecklistCard panel over a dimmed Signal Field · Mensor leads · node-graph · kinetic-build · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id ChecklistCardvisual node-graphshape dodecaground redtreatment liquid-chromemotion kinetic-buildpower morphinstrument morph+laser→Design the trade before you askcurate items, nodes | |||||||
| 4 |  matches intent SchematicCard template | teach | 61.3–81.5s | kinetic-build | icon·white-knockout | ♪ node_lock | Third move. Wire the agent into Gmail and have it draft an intro that leads with what you give them first. People say yes to partners who arrive holding something. You read the draft, make sure it sounds like you, and send it from your own inbox. The generosity is real, the typing is automated. on-screen: Open with the offer |
expected on screen: red ground · a SchematicCard panel over a dimmed Signal Field · Mensor leads · node-graph · kinetic-build · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id SchematicCardvisual node-graphshape dodecaground redtreatment white-knockoutmotion kinetic-buildpower morphinstrument morph+laser→Open with the offercurate nodes | |||||||
| 5 |  matches intent ComparisonTable template | proof | 81.5–101.7s | receipts-count | icon·liquid-chrome | ♪ node_lock | The plain proof. We map our own partnership overlaps with this same agent before recommending it to anyone. No invented win rates, just the method running on The Big T-M in the open, built from the one source file behind this video. You are seeing the tool we actually use, not a slide about it. on-screen: We test partners on ourselves |
expected on screen: red ground · a ComparisonTable panel over a dimmed Signal Field · Mensor leads · receipts · receipts-count · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id ComparisonTablevisual receiptsshape dodecaground redtreatment liquid-chromemotion receipts-countpower receiptsinstrument spotlight→We test partners on ourselvescurate colA, colB, rows, statsLabels | |||||||
| 6 |  matches intent shared field signature-3d | resolve | 101.7–123.7s | coalescence | icon·white-knockout | ♪ bed_out | So partnerships, stripped to the studs. Find who shares your buyer. Design the trade first. Open by giving. Let the agent find the overlaps and draft the offer while you keep the relationship human. See the studio run in public at office dot temerarii dot xyz, then list three businesses that serve your customer and ask the model who fits. on-screen: Map yours at office.temerarii.xyz |
expected on screen: red ground · dodeca hero in the shared Signal Field · Mensor leads · coalescence · coalescence · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape dodecaground redtreatment white-knockoutmotion coalescencepower coalescenceinstrument coalescence→Map yours at office.temerarii.xyz | |||||||
Format stack 1 aspects · same scenes[], re-cropped
16:9
1920×1080
X/Twitter · YouTube · LinkedIn video
Channels 2 destinations
YouTubeBlog
Social captions supplemental published copy · per channel (comp_id level)
youtubeStrategic Partnerships in Plain Terms: Find the Shared Buyer and Lead With the Give
Partnerships sound like boardrooms and handshakes. They are simpler than that. A partnership is two businesses sending each other customers because it helps both. In this video we show how an agent finds those pairings and drafts the offer.
The moves:
- Find who shares your buyer. Tell the agent to find companies that serve your exact customer but sell something different. If you do roofing, that is the solar installer, not the rival roofer. Use a scraper through Apify to pull names, size, and contact.
- Design the trade before you ask. Have the model write down what each side gives and gets. You send them warm leads after a roof job, they mention you when a customer needs gutters. Spell it out so the first email is a clear deal, not a vague coffee invite.
- Open with the offer. Wire the agent into Gmail and have it draft an intro that leads with what you give them first. People say yes to partners who arrive holding something. You send it from your own inbox.
The honest proof: we map our own partnership overlaps with this same agent before recommending it to anyone. No invented win rates, just the method running on our studio in the open, built from the one source file behind this video.
The takeaway: find who shares your buyer, design the trade first, open by giving. Let the agent find the overlaps and draft the offer while you keep the relationship human. List three businesses that serve your customer and ask the model who fits. See it at office.temerarii.xyz.
Keywords: strategic partnerships, referral, Apify, Gmail, MCP, business development.