Back Office · office.temerarii.xyz
One published post, granular — the Social for W24 Thu, its copy, its output-policy format, and the video master it derives from. Part of the day's full output set.
postW24-Thu-social-5kindSocialweekW24dayThudate2026-06-18campaignlongform-youtubecadence5/day floor × 9 channels

Copy the published post text

Minus the Hype
copy ready · render pending

Output-policy spec format · dimensions (asset_specs.output_policy)

formatnative cut · 9:16 · 1:1 · 16:9 dims1080×1920 · 1080×1080 · 1920×1080 cadence5/day floor × 9 channels

Channels 9 destinations

TikTokInstagramLinkedInX/TwitterFacebookThreadsPinterestBlueskyYouTube

This post a distinct social asset — its own angle, storyboard, and cuts

thread-minus-the-hype-W24-Thu
5-distinct-social/day · 9:16 master → 1:1 / 16:9 cuts per channel

Channel-cuts this asset → 9 native captions (one master · per-platform aspect+copy)

ChannelNative caption
TiktokThe pitch: AI writes a thousand cold emails and they all convert. Your spam folder disagrees. What works: scrape a real trigger, a funding round, a new hire, then let AI write one line about that. The cost is research per lead, not volume. (AI-assisted)
Instagram"AI writes a thousand cold emails that all convert." Your spam folder disagrees. What actually works: Scrape a real trigger. A funding round. A new hire. A job post. Let AI write one line about that. The cost is research per lead, not volume. #coldemail #outbound #sales #ai #b2b
LinkedinThe outbound crowd promises that AI writes a thousand cold emails and they all convert. Your spam folder disagrees. Here is what works. You scrape a real trigger first: a funding round, a new hire, a job post. Then you let AI write one line about that specific thing. The model is good at phrasing, not at finding a reason to reach out. The real cost is research per lead, not volume. That is why the thousand-email approach fails and the slower one lands.
XThe pitch: AI writes 1,000 cold emails that all convert. Your spam folder disagrees. What works: scrape a real trigger, then let AI write one line about it. The cost is research per lead, not volume. temerarii.com
FacebookThe outbound crowd promises AI will write a thousand cold emails that all convert. Your spam folder disagrees. What actually works is smaller: scrape a real trigger like a funding round or a new hire, then let AI write one line about that. The real cost is research per lead, not volume. Try it on your next ten prospects.
ThreadsThe pitch: AI writes a thousand cold emails and they all convert. Your spam folder disagrees. What works: scrape a real trigger, a funding round, a new hire, a job post, then let AI write one line about that. The cost is research per lead, not volume. Slower, but it lands.
PinterestCold email with AI, minus the hype: why volume fails. The thousand-email blast lands in spam. The move that works is scraping a real trigger per lead, a funding round or a new hire, then letting AI write one line about it. The real cost is research per lead, not volume. A practical outbound guide.
BlueskyThe pitch: AI writes 1,000 cold emails that all convert. Your spam folder disagrees. What works: scrape a real trigger, let AI write one line about it. The cost is research per lead, not volume.
YoutubeTitle: AI Cold Emails That Convert? The Part the Pitch Skips The outbound crowd promises AI writes a thousand cold emails and they all convert. Your spam folder disagrees. What actually works: scrape a real trigger, a funding round, a new hire, a job post, then let AI write one line about that. The real cost is research per lead, not volume. We show the honest version of AI outbound.

Composition layer × scene 5 scenes · this post's OWN storyboard (distinct per asset)

#Layer (comp_id · still · tier)BeatTimecodeMotionLogoAudioVO / on-screen / caption
1s1
matches intent
shared field
signature-3d
hook0–7.0skinetic-buildicon·liquid-chrome♪ node_lock
The outbound crowd promise AI writes a thousand cold emails and they all convert. Your spam folder disagrees.
on-screen: "AI writes your cold emails"
expected on screen: red ground · torus hero in the shared Signal Field · Nuntius leads · mark · kinetic-build · icon·liquid-chrome logo · caption bottom-left
spec (the prompt): comp_id shared Signal Fieldvisual markshape torusground redtreatment liquid-chromemotion kinetic-buildpower laser-lockinstrument laser-trace→"AI writes your cold emails"
2s2
matches intent
JsonDiff
template
diff7.0–15.6scrossfade-8ficon·white-knockout♪ node_lock
What works: scrape a real trigger, a funding round, a new hire, a job post, then let AI write one line about that.
on-screen: Trigger, then personalize
expected on screen: red ground · a JsonDiff panel over a dimmed Signal Field · Nuntius leads · code · crossfade-8f · icon·white-knockout logo · caption bottom-left
spec (the prompt): comp_id JsonDiffvisual codeshape torusground redtreatment white-knockoutmotion crossfade-8fpower morphinstrument morph→Trigger, then personalizecurate codeLines, fileName, lines
3s3
first render · fix pending
NumberedList
templatedead_air
teach15.6–20.6skinetic-buildicon·liquid-chrome♪ node_lock
The real cost is research per lead, not volume.
on-screen: The cost: a real reason
expected on screen: red ground · a NumberedList panel over a dimmed Signal Field · Nuntius leads · node-graph · kinetic-build · icon·liquid-chrome logo · caption bottom-left
spec (the prompt): comp_id NumberedListvisual node-graphshape torusground redtreatment liquid-chromemotion kinetic-buildpower morphinstrument morph+laser→The cost: a real reasoncurate items, nodes
4s4
matches intent
KpiGrid
template
proof20.6–26.5sreceipts-counticon·white-knockout♪ node_lock
Test it yourself. Ten researched leads against a hundred blasted ones. Count replies, not sends.
on-screen: Count replies, not sends
expected on screen: red ground · a KpiGrid panel over a dimmed Signal Field · Nuntius leads · receipts · receipts-count · icon·white-knockout logo · caption bottom-left
spec (the prompt): comp_id KpiGridvisual receiptsshape torusground redtreatment white-knockoutmotion receipts-countpower receiptsinstrument spotlight→Count replies, not sendscurate kpis, statsLabels
5s5
matches intent
shared field
signature-3d
resolve26.5–33.5scoalescenceicon·liquid-chrome♪ bed_out
The robot writes fine. It just cannot care. That part is still yours. The Big T-M, signing off.
on-screen: Care is the moat
expected on screen: red ground · torus hero in the shared Signal Field · Nuntius leads · coalescence · coalescence · icon·liquid-chrome logo · caption bottom-left
spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape torusground redtreatment liquid-chromemotion coalescencepower coalescenceinstrument coalescence→Care is the moat

Cross-links this post in the day's output set