Last updated: 2026-04-18
What is System One model?
A model class built for fast, structured judgement rather than prose. You supply a state and typed questions; it returns schema-constrained decisions with calibrated probabilities, sampled in parallel instead of token by token, so latency barely moves when you add questions. Named after Kahneman's System 1 (fast, automatic) against System 2 (slow, deliberate) — a frontier LLM plays the System Two role. The trade is absolute: no text generation, no reasoning trace, no explanation. Jev (TypeSafe AI, 2026) is the first public example.
See also
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