Jev versus text-generating models
Jev does not generate free-form text. A side-by-side video compares parallel decision-making with token-by-token text generation.
Jev: An AI that decides, not writes
TypeSafe's Jev takes unstructured state and returns typed answers with calibrated probabilities—no strings to parse. Workflow benchmarks: 70–500 ms, output free, input $0.042 per million.
An AI that doesn't write. It decides. Jev (TypeSafe) takes unstructured state in and returns typed answers with calibrated probabilities — no strings, nothing to parse. On their workflow benchmarks that is 70–500 ms instead of seconds, output free, input $0.042 per million
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This model is built for decision-making rather than text generation, outputting probabilities for each option in parallel instead of token-by-token responses. The author shares a simplified comparison of normal LLMs versus this Jev model.
