Scoring viral posts with Jev and explaining them with Grok 4.7
The author has Jev score 64,800 viral posts on 12 structured questions each, completing 777,600 decisions in 31 seconds, then lets Grok 4.7 read only the top 1% to summarize what makes them go viral.
i just built an X viral post viewer with Grok 4.7 + Jev and it read more posts in 31 seconds than i did all year jev does the sorting. grok 4.7 does the explaining. the whole run cost less than a bus ticket x link → jev asks 12 questions → score → grok 4.7 opens only the top 1% → why it went viral jev doesn't write anything. it only answers simple questions about each post: number in the hook, yes or no. which format, pick one. how baity, score 1 to 10. it can't make things up, because it can only pick from answers i allowed i gave it 64,800 viral posts from my niche. 12 questions each is 777,600 decisions, done in 31.4 seconds for $0.93 reading them by hand at 20 seconds a post is 360 hours of scrolling. people would say 1,000x faster. i did the math and it's 41,274x that's $0.000014 per post, and grok 4.7 only reads the 648 worth reading what came back: 71% of the winners have a number in the first line. 83% are under 200 words the big mistake: pasting 50 viral posts into the smart model and asking "why did this work". it reads 50 and guesses. jev reads 64,800 and counts setup took me 11 minutes: x api key in the secure field, one schema with 12 questions, one grok skill, test on 100 posts first jev scores, grok 4.7 explains, and i still write the post myself everyone is asking the smart model how to go viral. the cheap one that reads everything already knows
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