Jev: TypeSafe AI's System One models for structured decisions
A non-autoregressive decision model: a parallel sampler emits the whole structured output in one query, trained with RLCD (Reinforcement Learning for Calibrated Decisions) for honest probabilities across three primitives - Choice, Score and Noul (yes/no).
Why it matters
70-500ms end-to-end responses, a claimed 40-200x speedup over LLM calls, with machine-readable outputs that eliminate parsing errors - purpose-built as the fast classify/route layer in front of slower reasoning models.
What you could build with it
A content or support platform can classify and score every incoming item in under half a second before deciding which few deserve an expensive LLM pass.
First spotted on engineering blog: source.
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