Influencer — topic-perf-influencer — Temerarii Media Back Office

post topic-perf-influencerkind topicweek —date —campaign performance-pillarpillar performancebeat —asset videoduration 55.9sground blackscenes 9

Checklist the per-video bar — engine/sim

95.5/100

plain languagevo coverageno dead airuniquenesscaption fitcompletenesscleanliness

quantitative quality · weights learn from your reviews (engine.sim.memory review topic-perf-influencer good|bad)

⚠ 2 flag(s) — not yet ship-ready: copy_generictoo_complex · see docs/strategy/VIDEO-CHECKLIST.md

Composition comp · template family · expected output

composition SceneReelfamily / template SceneReel

9:16 Reelrendered1:1 Squarepending16:9 Widepending9:16 4Kpending1:1 4Kpending16:9 4KpendingGIF (SMS)pending

▶ open rendered mp4

expected output: 1/7 rendered — same matrix the /media preview surfaces for this asset.

Composition layer × scene 9 scenes · 55.9s · comp_id + rendered still + tier + the script

#	Layer (comp_id · still · tier)	Beat	Timecode	Motion	Logo	Audio	VO / on-screen / caption
1	still pending matches intent shared field signature-3d	open	0–5.7s	spatial-parallax	icon·wireframe	♪ —	One wrong creator can burn a whole budget, so the real skill is in the picking, not the posting. on-screen: Picking the wrong creator is expensive
	expected on screen: black ground · dodeca hero in the shared Signal Field · Mensor leads · node-graph · spatial-parallax · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual node-graphshape dodecaground blacktreatment wireframemotion spatial-parallaxpower summoninstrument summon→three-mark
2	still pending matches intent ComparisonTable template	legacy	5.7–11.3s	crossfade-8f	icon·wireframe	♪ —	The old way chased the biggest follower count and ignored whether those followers ever actually bought. on-screen: Old way: chase the biggest follower count
	expected on screen: black ground · a ComparisonTable panel over a dimmed Signal Field · Mensor leads · crossfade-8f · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id ComparisonTableshape dodecaground blacktreatment wireframemotion crossfade-8fpower morphinstrument decay→three-symboliccurate colA, colB, rows
3	still pending matches intent NumberedList template	teach	11.3–17.3s	kinetic-build	icon·wireframe	♪ —	Step one, we scrape each creator's real audience and comments, because the bio never tells the truth. on-screen: Step 1
	expected on screen: black ground · a NumberedList panel over a dimmed Signal Field · Mensor leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id NumberedListvisual node-graphshape dodecaground blacktreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→html-in-canvas-panelcurate items, nodes
4	still pending matches intent ChecklistCard template	teach	17.3–24.700000000000003s	kinetic-build	icon·wireframe	♪ —	Step two, the model scores brand fit across tone, audience overlap, and how engaged the comments actually are. on-screen: Step 2: model scores brand fit
	expected on screen: black ground · a ChecklistCard panel over a dimmed Signal Field · Mensor leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id ChecklistCardvisual node-graphshape dodecaground blacktreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→three-diagramcurate items, nodes
5	still pending matches intent NodeGraphCard template	teach	24.7–30.7s	kinetic-build	icon·wireframe	♪ —	Step three, we run a quick check that flags bought followers, so you don't pay for a ghost audience. on-screen: Step 3: flag the fake-follower accounts
	expected on screen: black ground · a NodeGraphCard panel over a dimmed Signal Field · Mensor leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id NodeGraphCardvisual node-graphshape dodecaground blacktreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→html-in-canvas-codecurate hub, nodes
6	still pending matches intent AnnotatedDiagram template	teach	30.7–37.5s	kinetic-build	icon·wireframe	♪ —	Step four, every creator gets a tracked link, so the sale, not the impression, tells us who delivered. on-screen: Step 4
	expected on screen: black ground · a AnnotatedDiagram panel over a dimmed Signal Field · Mensor leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id AnnotatedDiagramvisual node-graphshape dodecaground blacktreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→three-flowcurate callouts, nodes
7	still pending matches intent KpiGrid template	proof	37.5–43.8s	receipts-count	icon·wireframe	♪ —	The cost per sale for each creator sits in the open, so the budget follows proof, not popularity. on-screen: Receipts: cost per sale [receipt: CPA]
	expected on screen: black ground · a KpiGrid panel over a dimmed Signal Field · Mensor leads · receipts · receipts-count · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id KpiGridvisual receiptsshape dodecaground blacktreatment wireframemotion receipts-countpower receiptsinstrument spotlight→html-in-canvas-receiptscurate kpis, statsLabels
8	still pending matches intent shared field signature-3d	futurist	43.8–49.599999999999994s	spatial-parallax	icon·wireframe	♪ —	Soon you describe the campaign and the system shortlists the right creators in minutes, fully vetted. on-screen: Next: match a creator in minutes
	expected on screen: black ground · dodeca hero in the shared Signal Field · Mensor leads · spatial-parallax · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldshape dodecaground blacktreatment wireframemotion spatial-parallaxpower spatial-parallaxinstrument laser-fire→three-forward
9	still pending matches intent shared field signature-3d	resolve	49.6–55.9s	coalescence	icon·wireframe	♪ swell	Before your next deal, pull one creator's actual audience and check the fit yourself. That's the step. on-screen: Vet one creator's real audience
	expected on screen: black ground · dodeca hero in the shared Signal Field · Mensor leads · coalescence · coalescence · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape dodecaground blacktreatment wireframemotion coalescencepower coalescenceinstrument coalescence→three-coalescence

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)

tiktokOne wrong creator burns a whole budget. The skill is in the picking. (AI-assisted) The method: scrape each creator's real audience and comments, because the bio lies. The model scores brand fit on tone, audience overlap, and how engaged the comments are. Run a check that flags bought followers so you do not pay for a ghost audience. Give every creator a tracked link, so the sale tells you who delivered. Do one thing: pull one creator's actual audience and check the fit yourself before your next deal.

instagramPicking the wrong creator is expensive. The method: Scrape the real audience, ignore the bio Score brand fit: tone, overlap, engagement Flag bought followers Track every link to the actual sale The budget follows proof, not popularity. #influencermarketing #creators #marketing #aimarketing #temerarii

linkedinOne wrong creator can burn a whole budget. The real skill is in the picking, not the posting. Here is how we vet creators now, in full: 1. Scrape each creator's real audience and comments, because the bio never tells the truth. 2. The model scores brand fit across tone, audience overlap, and how engaged the comments actually are. 3. Run a quick check that flags bought followers, so you don't pay for a ghost audience. 4. Give every creator a tracked link, so the sale, not the impression, tells you who delivered. The takeaway: stop buying follower counts. Buy proven audiences and measure to the sale. The cost per sale for each creator sits in the open, so the budget follows proof, not popularity. Before your next deal: pull one creator's actual audience and check the fit yourself.

xOne wrong creator burns the whole budget. The skill is the picking. Scrape the real audience, the bio lies. Score brand fit on tone and engagement. Flag bought followers. Track every link to the sale. Pull one creator's real audience and check the fit before your next deal.

facebookOne wrong creator can burn a whole budget. The real skill is in the picking, not the posting. The full method: scrape each creator's real audience and comments, because the bio never tells the truth. Score brand fit on tone, audience overlap, and engagement. Flag bought followers so you do not pay for a ghost audience. Give every creator a tracked link, so the sale tells you who delivered. Before your next deal: pull one creator's actual audience and check the fit yourself.

threadsOne wrong creator burns the whole budget. The skill is in the picking. Scrape the real audience, the bio lies. Score brand fit on tone, overlap, and engagement. Flag bought followers. Track every link to the actual sale. Pull one creator's real audience and check the fit before your next deal.

pinterestHow to vet influencers the right way: scrape a creator's real audience and comments, score brand fit on tone and engagement, flag bought followers, and track every link to the actual sale. A give-it-away guide to picking creators by proof, not follower count.

blueskyOne wrong creator burns the whole budget. The skill is the picking. Scrape the real audience, the bio lies. Score brand fit on tone and engagement. Flag bought followers. Track every link to the sale. Pull one creator's real audience and check the fit before your next deal.

youtubeVetting Influencers by Proof: Real Audience Scraping, Brand-Fit Scoring, Tracked Links One wrong creator can burn a whole budget. The real skill is in the picking, not the posting. Here is the full vetting method, given away. The steps: 1. Scrape each creator's real audience and comments, because the bio never tells the truth. 2. The model scores brand fit across tone, audience overlap, and how engaged the comments actually are. 3. Run a quick check that flags bought followers, so you don't pay for a ghost audience. 4. Give every creator a tracked link, so the sale, not the impression, tells you who delivered. The cost per sale for each creator sits in the open, so the budget follows proof, not popularity. What is coming: describe a campaign and the system shortlists vetted creators in minutes. Your one next step: before your next deal, pull one creator's actual audience and check the fit yourself. Method over hype. Receipts over claims.

Cross-links every lens is a view on this one record

→ Wireframe · scenes → Calendar week → Media (audience preview)→ Storyboard hub → Day view → Channel view