Checklist the per-video bar — engine/sim
98.5/100
quantitative quality · weights learn from your reviews (
engine.sim.memory review social-W27-Wed-4 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 · 67.8s · 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 | 0–7.7s | spatial-parallax | icon·wireframe | ♪ bed_in | The first wave of AI was a vending machine. One prompt in, one answer out, then it forgot you existed. on-screen: AI was one prompt, one answer |
expected on screen: black ground · cone hero in the shared Signal Field · Augur leads · node-graph · spatial-parallax · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual node-graphshape coneground blacktreatment wireframemotion spatial-parallaxpower summoninstrument summon→AI was one prompt, one answer | |||||||
| 2 |  matches intent shared field signature-3d | hook | 7.7–15.0s | kinetic-build | icon·wireframe | ♪ node_lock | The next wave does not just answer. It takes steps, checks the result, and tries again on its own. on-screen: Now it can take steps |
expected on screen: black ground · cone hero in the shared Signal Field · Augur leads · mark · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual markshape coneground blacktreatment wireframemotion kinetic-buildpower laser-lockinstrument laser-trace→Now it can take steps | |||||||
| 3 |  matches intent NumberedList template | teach | 15.0–22.7s | kinetic-build | icon·wireframe | ♪ node_lock | You hand the model tools, a search, a calculator, your database, and let it decide which one to reach for. on-screen: Give the model real tools |
expected on screen: black ground · a NumberedList panel over a dimmed Signal Field · Augur leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id NumberedListvisual node-graphshape coneground blacktreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→Give the model real toolscurate items, nodes | |||||||
| 4 |  matches intent RankList template | proof | 22.7–30.4s | receipts-count | icon·wireframe | ♪ node_lock | It writes a plan, calls a tool, reads what came back, and corrects course before it hands you the result. on-screen: It plans, acts, then checks |
expected on screen: black ground · a RankList panel over a dimmed Signal Field · Augur leads · receipts · receipts-count · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id RankListvisual receiptsshape coneground blacktreatment wireframemotion receipts-countpower receiptsinstrument spotlight→It plans, acts, then checkscurate rows, statsLabels | |||||||
| 5 |  matches intent BuildLog template | diff | 30.4–38.8s | crossfade-8f | icon·wireframe | ♪ node_lock | A chatbot waits for you. An agent loops on a goal until the job is done or it knows it is stuck. on-screen: An agent isn't a chatbot |
expected on screen: black ground · a BuildLog panel over a dimmed Signal Field · Augur leads · code · crossfade-8f · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id BuildLogvisual codeshape coneground blacktreatment wireframemotion crossfade-8fpower morphinstrument morph→An agent isn't a chatbotcurate codeLines, lines | |||||||
| 6 |  matches intent ChecklistCard template | teach | 38.8–46.5s | kinetic-build | icon·wireframe | ♪ node_lock | So fence it. Let it draft and act freely, but make a person approve anything that spends money or ships. on-screen: Keep a human at the gate |
expected on screen: black ground · a ChecklistCard panel over a dimmed Signal Field · Augur leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id ChecklistCardvisual node-graphshape coneground blacktreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→Keep a human at the gatecurate items, nodes | |||||||
| 7 |  matches intent StatScoreboard template | proof | 46.5–53.5s | receipts-count | icon·wireframe | ♪ node_lock | The dull chains, pull the data, format it, file it, start running themselves while you do the thinking. on-screen: Boring tasks run themselves |
expected on screen: black ground · a StatScoreboard panel over a dimmed Signal Field · Augur leads · receipts · receipts-count · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id StatScoreboardvisual receiptsshape coneground blacktreatment wireframemotion receipts-countpower receiptsinstrument spotlight→Boring tasks run themselvescurate pillar, stats, statsLabels | |||||||
| 8 |  matches intent ProcessFlow template | step | 53.5–60.8s | kinetic-build | icon·wireframe | ♪ node_lock | So the move is give it tools, let it loop on a goal, and gate the actions that matter. on-screen: Step: give tools, loop, gate it |
expected on screen: black ground · a ProcessFlow panel over a dimmed Signal Field · Augur leads · pipeline · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id ProcessFlowvisual pipelineshape coneground blacktreatment wireframemotion kinetic-buildpower throwinstrument laser-trace→Step: give tools, loop, gate itcurate stages, steps | |||||||
| 9 |  matches intent shared field signature-3d | resolve | 60.8–67.8s | coalescence | icon·wireframe | ♪ bed_out | From answer machine to teammate. The Big T-M builds agents that act, with a human at the gate. on-screen: From answer machine to teammate |
expected on screen: black ground · cone hero in the shared Signal Field · Augur leads · coalescence · coalescence · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape coneground blacktreatment wireframemotion coalescencepower coalescenceinstrument coalescence→From answer machine to teammate | |||||||
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)
tiktokWhere AI is heading: from chatbot to agent (AI-assisted). The first wave was a vending machine, one prompt, one answer, then it forgot you. The next wave takes STEPS. You give the model tools (search, your database), it plans, acts, checks the result, and tries again. An agent loops on a goal. Keep a human at the gate for anything that spends money.
instagramAI is going from answer-machine to teammate.
Give the model real tools.
It plans, acts, then checks.
An agent loops on a goal.
Keep a human at the gate.
#artificialintelligence #aiagents #automation #futuretech #ai
linkedinThe first wave of AI was a vending machine: one prompt in, one answer out, then it forgot you existed. The next wave doesn't just answer, it takes steps.
What that means:
1. You hand the model tools, a search, a calculator, your database, and let it decide which to reach for.
2. It writes a plan, calls a tool, reads the result, and corrects course before handing anything back.
3. The difference from a chatbot: an agent loops on a goal until the job is done or it knows it's stuck.
The discipline that keeps this safe is a gate. Let it draft and act freely, but make a person approve anything that spends money or ships. Then the dull chains, pull the data, format it, file it, start running themselves. From answer machine to teammate. AI-assisted and disclosed.
xAI is moving from chatbot to agent. Give the model tools, let it plan, act, check, and loop on a goal until it's done. The discipline: keep a human at the gate for anything that spends money or ships. temerarii.com
facebookThe first wave of AI was a vending machine: one prompt, one answer, then it forgot you. The next wave takes steps. You hand the model tools (a search, your database), it plans, acts, reads the result, and corrects course. An agent loops on a goal until the job is done. The discipline that keeps it safe: let it act freely, but make a human approve anything that spends money or ships. From answer machine to teammate. More at temerarii.com.
threadsAI is moving from chatbot to agent. Give the model tools, let it plan, act, check, and loop on a goal until it's done. The discipline: keep a human at the gate for anything that spends money or ships.
pinterestThe future of AI: from chatbot to agent. Give the model tools, let it plan-act-check in a loop on a goal, and keep a human at the gate for high-stakes actions. An evergreen explainer on AI agents and safe automation.
blueskyAI is moving from chatbot to agent. Give the model tools, let it plan, act, check, and loop on a goal until it's done. The discipline: keep a human at the gate for anything that spends money. temerarii.com
youtubeFrom Chatbot to Agent: Where AI Is Heading (Tools, Loops & Human Gates)
The first wave of AI was a vending machine, one prompt in, one answer out, then it forgot you existed. The next wave takes steps. This explains the shift: you hand the model tools like search and your database, it writes a plan, calls a tool, reads the result, and corrects course. Unlike a chatbot, an agent loops on a goal until the job is done. The discipline that keeps it safe is a gate, let it act freely but make a human approve anything that spends money or ships. AI-assisted and disclosed. More at temerarii.com.