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Jev Post Fact Classifier

Jev evaluates whether a post contains at least one fact that would be false about a different company. The author says this prompt split 20 drafts into groups near 0 and near 1.

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You're missing what Jev is actually capable of, and it's not the model's fault same model, same 20 drafts, two different questions, and only one of them comes back as a decision ask it to "rate the quality of this post" and all 20 come back between 0.4 and 0.6 vague question β†’ every answer in the middle β†’ nothing to sort or filter β†’ a threshold that never fires β†’ "this model is useless" now ask whether the post has at least one fact that would be FALSE about a different company, and the same 20 split into two piles near 0 and near 1 the second answer is a decision your code can act on, the fir
Sep 23, 2026X postsView on X
The author contrasts this decision-oriented prompt with asking Jev to rate post quality, which returned scores between 0.4 and 0.6 for all 20 drafts. They say the binary-style result gives code a decision it can act on.

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