Jev Decodes the Secret Recipe Behind Top Creators' Reels
Joon shares how Jev transcribed and broke down 900 Reels from 5 creators like Kallaway and Alex Hormozi, extracting the content strategy behind billions of combined views.
THE JEV GUIDE · CURATED EDITION
Launch news, explanations, demos, and community projects around TypeSafe Jev, organized by topic. Every entry links back to its X source.
Curated selection · Not exhaustive · Updated manually
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Joon shares how Jev transcribed and broke down 900 Reels from 5 creators like Kallaway and Alex Hormozi, extracting the content strategy behind billions of combined views.
Processing 1,300 social posts daily, Jev filters noise via targeted questions, leaving 332 candidates for a premium model to pick 7 AI brands, with filtering costs at just $0.064.
Jev quickly analyzed titles, H1s, meta descriptions, and first ~1,400 characters of 50 pages, making 806 decisions to check if pages deliver on their titles, identify weakest elements, and verify claims are backed.
The author comments that Jev is called 'a new type of LLM' while OpenAI is just 'a new API', emphasizing the importance of language in category creation and watching TypeSafe AI's next moves.

Ivan Escobar shares how Claude Code runs 8 parallel GTM agents, using JEV for classification, processing 8K rows, syncing with Oxygen, at a cost of only 0.002 JEV.
One card in the feed, every sixteen, on every page of it. $50 a week, cancel any week.
A marketer used a tiny three-page site with Posthog and Jev to get ChatGPT to rank a fake deodorant brand. The author shares step-by-step instructions on this sneaky way to make AI recommend your business.
The author had Jev analyze 221 top posts from 7 creators in 51 seconds for just $0.032, making 1,547 decisions. Findings: how-to hooks save 3.2x the median, real numbers as proof 2.1x, and text-only posts only 0.5x.
The author shares that using a Jev-powered AI agent to check and fix website SEO/GEO has dropped the per-run cost from about $250 to about $25, a huge saving.
The user praises JEV's speed: with over 700 prospects each having a tailored outreach message, JEV scans every profile, cross-checks content, and flags which messages fit and which miss the customer's needs.
Luis Bolivar shares testing TypeSafe AI's Jev decision model in CuevaOS to score purchase priority and intent of leads who fill out forms, noting that Jev only informs and does not change labels or branches. Link
SEO expert Julian Goldie shares how to quickly spot keyword opportunities around the emerging AI product Jev by monitoring X, Google Trends, and related searches.
The author predicts online sales will be transformed by AI within six months, and combining judgment-focused models like Jev, Decisions API, and Luna will give rise to avatar salespeople who can choose optimal scripts with near-zero AI feel.
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