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Jev returns typed probabilistic decisions instead of generated text

simonwillison.net 5 min read Editor score 7/10

Jev accepts text or structured records and returns numeric outputs for categories, yes/no answers, and ratings with confidence scores; its first model charges $0.042 per million input tokens and nothing for output. This alternative interface and pricing model may suit classification workloads where generated prose is unnecessary.

What

Jev accepts text or semi-structured state and returns floating-point decisions rather than generated text.

How

Yes/no, choice, and score questions produce confidence values, option probabilities, or a score; questions run in parallel.

Why it matters

Classification and reranking can use it, but weaknesses with numbers and dates and opaque outputs constrain applications.

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