37 documents, 21 questions each, 1,709 judgments for under a cent.
Mike Taylor ran Jev over everything he has written for Every: 37 documents, 21 questions each, 1,709 judgments in total, for under a cent. The median time per passage was 0.35 seconds, against 8.83 seconds for Fable 5.1. Jev found six of the seven defects he had planted. Only the larger model found the seventh.
I got access to Jev by @typesafeai today morning and I built a cool use case for it Introducing DiffJury - simply paste any public PR link and Jev tells you immediately if it's safe to merge or does it require review ✅ 🔗 Feel free to try it out here - https://t.co/mCsRcMKSbQ
X postContent & growth
Experimental Slidev controller that judges speech transcripts for slide completion, with deterministic checks and manual navigation.
GitHubContent & growth
GitHubContent & growth
jev is INSANE. in 40 seconds it broke down 724 live ads from 37 brands. every hook. every format. offer. cta. awareness stage. landing page mismatch. used 9 cents of tokens. (will be avail in @stealads + mcp)
