Checklist the per-video bar — engine/sim
100.0/100
quantitative quality · weights learn from your reviews (
engine.sim.memory review W37-always-on-beat-4 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 Reelrendered1:1 Squarerendered16:9 Widerendered9:16 4Kpending1:1 4Kpending16:9 4KpendingGIF (SMS)pending
expected output: 3/7 rendered — same matrix the /media preview surfaces for this asset.
Composition layer × scene 6 scenes · 45.4s · 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 | 0–6.5s | spatial-parallax | icon·white-knockout | ♪ bed in | Every brand swears it listens to its audience, and almost none of them do anything with what they hear. on-screen: Everyone says listen |
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→Everyone says listen | |||||||
| 2 |  matches intent shared field signature-3d | hook | 6.5–14.9s | kinetic-build | icon·white-knockout | ♪ — | The Big T-M turns the noise of mentions and comments into one or two decisions you actually make this week. on-screen: Listening into decisions |
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→Listening into decisions | |||||||
| 3 |  matches intent ChecklistCard template | quote | 14.9–22.5s | kinetic-build | icon·liquid-chrome | ♪ — | As the saying goes, in God we trust, everyone else bring data, so we bring the data. on-screen: "Data beats opinions" |
expected on screen: red ground · a ChecklistCard panel over a dimmed Signal Field · Nexus leads · kinetic-build · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id ChecklistCardshape tetraground redtreatment liquid-chromemotion kinetic-buildpower summoninstrument shine→"Data beats opinions"curate items | |||||||
| 4 |  matches intent KpiGrid template | proof | 22.5–32.2s | receipts-count | icon·white-knockout | ♪ — | Here is the method: Apify scrapes Reddit and the platforms, then a model clusters the complaints into themes you on-screen: Apify + Reddit + a model |
expected on screen: red ground · a KpiGrid panel over a dimmed Signal Field · Nexus leads · receipts · receipts-count · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id KpiGridvisual receiptsshape tetraground redtreatment white-knockoutmotion receipts-countpower receiptsinstrument spotlight→html-in-canvas-receiptscurate kpis, statsLabels | |||||||
| 5 |  matches intent shared field signature-3d | hook | 32.2–37.300000000000004s | kinetic-build | icon·liquid-chrome | ♪ — | The point is not a prettier report; it is the one move you would have missed. on-screen: One insight, one move |
expected on screen: red ground · tetra hero in the shared Signal Field · Nexus leads · mark · kinetic-build · icon·liquid-chrome logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual markshape tetraground redtreatment liquid-chromemotion kinetic-buildpower laser-lockinstrument laser-trace→One insight, one move | |||||||
| 6 |  matches intent shared field signature-3d | resolve | 37.3–45.4s | coalescence | icon·white-knockout | ♪ bed out | If you want the listening that ends in a decision, The Big T-M is at temerarii.xyz. on-screen: temerarii.xyz |
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→temerarii.xyz | |||||||
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 12 destinations
LinkedInX/TwitterYouTubeInstagramFacebookThreadsTikTokPinterestBlueskyEmailSMSBlog
Social captions supplemental published copy · per channel (comp_id level)
tiktokMost brands say they listen to their audience. Almost none of them do anything with it. The Big T-M turns mentions and comments into one or two real moves you make this week. Method: Apify scrapes Reddit and the platforms, a model clusters the complaints, you act on the one you missed. (AI-assisted)
instagramEveryone says they listen.
Few act on it.
The Big T-M turns the noise into one or two decisions you actually make this week.
The method, given away:
Apify scrapes Reddit + the platforms
A model clusters the complaints into themes
You ship the one move you would have missed
#sociallistening #aimarketing #buildinpublic #datadriven #marketingops
linkedinEvery brand swears it listens to its audience. Almost none of them turn that listening into a decision.
Here is the method we use, given away:
1. Apify scrapes Reddit and the platforms.
2. A model clusters the complaints into a few clear themes.
3. You pick the one move you would have missed.
The point is not a prettier report. It is the single decision you make this week because you finally heard what your audience kept saying. We run this on ourselves first, then for clients.
If you want listening that ends in a decision, The Big T-M is at temerarii.xyz.
xEvery brand says it listens. Almost none act on it.
Method: Apify scrapes Reddit + the platforms, a model clusters the complaints, you ship the one move you missed.
Not a prettier report. One real decision.
temerarii.xyz
facebookEvery brand swears it listens to its audience, and almost none of them act on what they hear.
Here is the method, given away: Apify scrapes Reddit and the platforms, a model clusters the complaints into themes, and you act on the one move you would have missed. Not a prettier report. One real decision this week.
Want listening that ends in a decision? Find The Big T-M at temerarii.xyz.
threadsEvery brand says it listens. Almost none act on it.
The method, no gatekeeping: Apify scrapes Reddit and the platforms, a model clusters the complaints into a few themes, you make the one move you would have missed.
Not a prettier dashboard. One real decision this week. That is the whole game.
pinterestSocial listening that ends in a decision: a method for turning audience mentions and comments into one real move each week. Use Apify to scrape Reddit and social platforms, cluster the complaints into themes with a model, and act on the single insight you would have missed. AI marketing method from The Big T-M.
blueskyEvery brand says it listens. Almost none act on it.
Method: Apify scrapes Reddit + the platforms, a model clusters the complaints, you make the one move you missed. Not a report. A decision.
youtubeTitle: Social Listening That Actually Ends in a Decision (The Method)
Every brand swears it listens, and almost none act on what they hear. In this short we give away the method: use Apify to scrape Reddit and the social platforms, cluster the complaints into themes with a model, and act on the one move you would have missed. The point is not a prettier report. It is the single decision you make this week. Built and run by The Big T-M. More at temerarii.xyz.