Jev: a model that returns typed decisions with probabilities instead of text
pplonski · reddit · 2026-09-21
TypeSafe AI released Jev, a model built solely for decisions rather than text generation: you define the question and allowed answers (options, yes/no, a score) and it returns a typed result with a probability per option, eliminating text parsing.
The author tested it from Python and published a guide (mljar.com/blog/jev-python/). Takeaways: it can't answer outside your options but can still pick the wrong one, so the probabilities are the useful part; multiple questions can run in parallel within one request. On simple ticket classification it matched GPT-5.4 nano with structured outputs, ran slightly faster, and cost about half as much — a single run, not a benchmark.
Related event: Jev: A Decision-Only AI Model Returns Probabilistic Answers in 200ms(2 posts)→
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