How accurate is Jev compared to an "old" classifier?
The commenter asked how Jev's calibrated probabilities compare to a traditional classifier for dependable production use.
The original post
How accurate is Jev compared to an "old" classifier? A general classifier that you can prompt in natural language sounds useful for an MVP, but sounds like a lot of room for error in a real, dependable solution. Educate me, please!
Engagement when collected
Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.
Where this case fits
Filed under classification & data extraction. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the classification & data extraction page.
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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post