Unverified50% confidenceFactExact time
Jev separates state (the current context) from questions (what to ask): the same state can be reused for multiple sets of questions, and the typed question sets allow the front end to statically infer the return type.
1
Sources
50%
Confidence
Long-term
Relevance
10/15/2026
First Seen
Sources
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Related Claims
UnverifiedJev declares field names and types (boolean, choice, score) in the questions parameter, and the model directly returns a structured object satisfying the schema without the need for runtime secondary parsing.76% similarVerifiedJev offers three question types: Select, Score, and Null/Bool, with each response accompanied by a confidence value.70% similarUnverifiedWhat Jev does is essentially multi-label classification rather than generative reasoning, achieved by attaching multiple classification heads in parallel to the same forward pass.69% similarUnverifiedJev can answer multiple questions in parallel within a single inference pass, making the time to answer 30 questions roughly the same as answering 1.68% similarUnverifiedJev treats all questions in the same request as a batch of parallel reasoning tasks, so twenty questions have almost the same latency as one question, and output tokens are not billed separately.68% similar
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