Checklist the per-video bar — engine/sim
98.4/100
quantitative quality · weights learn from your reviews (
engine.sim.memory review longform-W46-Fri good|bad)⚠ 1 flag(s) — not yet ship-ready: generic_scene · 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 8 scenes · 143.1s · 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 | 0–19.1s | spatial-parallax | icon·white-knockout | ♪ bed_in | This week is access into advantage, but access cuts both ways. A bad review, a quiet complaint, a post that catches fire. Today, the public relations move nobody teaches, handling the moment things go sideways with an AI agent that listens fast and helps you answer like a human, not a lawyer. on-screen: When the story goes wrong |
expected on screen: black ground · box hero in the shared Signal Field · Faber leads · node-graph · spatial-parallax · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual node-graphshape boxground blacktreatment white-knockoutmotion spatial-parallaxpower summoninstrument summon→When the story goes wrong | |||||||
| 2 |  matches intent ChecklistCard template | teach | 19.1–40.0s | kinetic-build | icon·wireframe | ♪ node_lock | First. Set the agent to watch where people talk about you. Point it at Reddit and the web through its MCP servers and have it pull mentions every morning and flag the angry ones. You hear the problem while it is small, when a calm reply still fixes it, instead of finding out a week too late. on-screen: Listen before you speak |
expected on screen: black ground · a ChecklistCard panel over a dimmed Signal Field · Faber leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id ChecklistCardvisual node-graphshape boxground blacktreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→Listen before you speakcurate items, nodes | |||||||
| 3 |  matches intent NumberedList template | teach | 40.0–58.0s | kinetic-build | icon·wireframe | ♪ node_lock | Second. Not every complaint deserves a reply. Have the model sort mentions into three buckets. A real customer with a real issue. A misunderstanding you can clear up. And noise you should leave alone. The agent reads the tone so you spend your energy only where it changes something. on-screen: Sort heat from noise |
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→Sort heat from noisecurate items, nodes | |||||||
| 4 |  matches intent BuildLog template | teach | 58.0–80.7s | kinetic-build | icon·wireframe | ♪ node_lock | Third. For the real ones, tell the model to draft a reply that admits the part you got wrong, says what you will do, and skips the corporate fog. Plain words, owned mistake, clear fix. You read it, you make it sound like you, you post it yourself. The agent gives you a calm first draft when your own pulse is up. on-screen: Draft the human reply |
expected on screen: black ground · a BuildLog panel over a dimmed Signal Field · Faber leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id BuildLogvisual node-graphshape boxground blacktreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→Draft the human replycurate lines, nodes | |||||||
| 5 |  matches intent DiffCard template | teach | 80.7–98.0s | kinetic-build | icon·wireframe | ♪ node_lock | Fourth. Once a month, have the agent group every complaint by theme. Three people mad about the same thing is not a public relations problem, it is a product problem. The model shows you the pattern so you fix the cause and stop refighting the same fire. on-screen: Find the pattern, fix the cause |
expected on screen: black ground · a DiffCard panel over a dimmed Signal Field · Faber leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id DiffCardvisual node-graphshape boxground blacktreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→Find the pattern, fix the causecurate lines, nodes | |||||||
| 6 |  matches intent StackTrace template | teach | 98.0–116.8s | kinetic-build | icon·wireframe | ♪ node_lock | The honest part. We run this listening loop on The Big T-M ourselves, every morning, built from the same source file behind this video. We are not pretending we never get a hard comment. We are showing you the exact machine we use to catch it early and answer like people. on-screen: We watch our own name too |
expected on screen: black ground · a StackTrace panel over a dimmed Signal Field · Faber leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id StackTracevisual node-graphshape boxground blacktreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→We watch our own name toocurate errMsg, errType, fix, frames, nodes | |||||||
| 7 |  matches intent RankList template | proof | 116.8–138.1s | receipts-count | icon·wireframe | ♪ node_lock | So crisis-side public relations, four moves. Listen daily. Sort heat from noise. Draft a human, honest reply. Fix the pattern, not just the post. Let the agent watch while you stay the calm voice. The whole studio runs in public at office dot temerarii dot xyz. Set up one daily mention scan this week, before you need it. on-screen: See it run at office.temerarii.xyz |
expected on screen: black ground · a RankList panel over a dimmed Signal Field · Faber leads · receipts · receipts-count · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id RankListvisual receiptsshape boxground blacktreatment wireframemotion receipts-countpower receiptsinstrument spotlight→See it run at office.temerarii.xyzcurate rows, statsLabels | |||||||
| 8 |  first render · fix pending shared field signature-3dgeneric_scene | resolve | 138.1–143.1s | coalescence | icon·white-knockout | ♪ bed_out | Custom apps + dashboards: own the code and the IP on-screen: Chapter 7 |
expected on screen: black ground · box hero in the shared Signal Field · Faber leads · coalescence · coalescence · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape boxground blacktreatment white-knockoutmotion coalescencepower coalescenceinstrument coalescence→Chapter 7 | |||||||
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)
youtubeCrisis PR With an AI Agent: Listen Fast, Sort the Heat, and Answer Like a Human
A bad review, a quiet complaint, a post that catches fire. In this video we cover the public relations move nobody teaches, handling the moment things go sideways with an agent that listens fast and helps you answer like a person, not a lawyer.
The moves:
- Listen before you speak. Set the agent to watch where people talk about you. Point it at Reddit and the web through its MCP servers and have it pull mentions every morning and flag the angry ones. You hear the problem while it is small.
- Sort heat from noise. Have the model sort mentions into three buckets: a real customer with a real issue, a misunderstanding you can clear up, and noise you should leave alone. The agent reads the tone so you spend your energy where it changes something.
- Draft the human reply. For the real ones, tell the model to draft a reply that admits the part you got wrong, says what you will do, and skips the corporate fog. Plain words, owned mistake, clear fix. You make it sound like you and post it yourself.
- Find the pattern, fix the cause. Once a month, have the agent group every complaint by theme. Three people mad about the same thing is not a PR problem, it is a product problem. Fix the cause and stop refighting the same fire.
The honest part: we run this listening loop on our own studio every morning, built from the same source file behind this video. We are not pretending we never get a hard comment. We are showing you the exact machine we use to catch it early.
The takeaway: listen daily, sort heat from noise, draft an honest reply, fix the pattern not just the post. Set up one daily mention scan before you need it. See it at office.temerarii.xyz.
Keywords: crisis PR, reputation management, social listening, MCP, AI agent.