TypeSafe AI launched Jev, a model outputting probability
Noted that Jev outputs probability decisions instead of text with free output tokens, and asked whether people would swap LLMs for it in classification pipelines.
The original post
TypeSafe AI launched Jev, a model outputting probability decisions instead of text with completely free output tokens. The free output pricing caught me off guard. Would you swap LLMs for pure decision models in your classification pipelines?
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 agents & workflows, 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 agents & workflows page.
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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post