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Jev: TypeSafe's System One model returns typed decisions 40-200x faster

Jev is TypeSafe's System One model that takes context and returns typed decisions such as choices, scores and probabilities, suited to classification, routing, scoring, guardrails and real-time product decisions.

JRP
@jrp_ggArchived 2026.09.20Originally posted 2026.09.20
Jev: TypeSafe's System One model returns typed decisions 40-200x faster
JRP @jrp_ggOriginally posted 2026.09.20
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JEV IS BEST AI TO USE RIGHT NOW TL;DR: Jev is TypeSafe AI’s new “System One” model. Instead of generating text token by token like a chat LLM, it takes in context and returns typed decisions: - choices - scores - probabilities It's roughly 40–200× faster than frontier LLMs on comparable System One tasks. It’s not meant to write content or code. It’s built for things like classification, routing, scoring, extraction, guardrails, and real-time product decisions. Since the output is constrained to a schema, there’s no malformed text to parse, and it can even handle game-playing decisions. Video on this soon.

x.com/jrp_gg/status/2101341250502959315Archived 2026.09.20 10:10