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I built the classifier tier in April. A model just shipped to be it.

This story is from 2026-09-24. It is preserved in the archive; the latest stories are on the live feed.

TypeSafe AI came out of stealth with Jev, a model that does not generate text. You hand it state and a typed question, it returns a calibrated probability over a fixed answer set. Nothing to parse, no invalid answer possible. My reaction was not "clever idea." It was "I have had that in production…

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  1. 2026-09-24 16:06 · DEV Community — AI
    I built the classifier tier in April. A model just shipped to be it.

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  1. notjev – Turn any local LLM into a Jev-style decision engine (one token + logprobs) — r/LocalLLM
  2. How to train your own Jev for $17 — Together AI Blog
  3. I built an open-weight alternative to Jev / TypeSafe - introducing OpenJudgement-4B (early preview) — r/LocalLLaMA
  4. Trained a per-task head on top of convaiinnovations/laya (frozen encoder) and served it behind the Jev API: 38% zero-shot on 77 intents is fixable with your own rows — r/huggingface
  5. stuntd: a local Jev-compatible server on Laya that learns from your own traffic (no API key needed) — r/LocalLLaMA
  6. Jev's calibration was measured. The LLMs won [D] — r/MachineLearning
  7. An Introduction to Jev — Towards Data Science
  8. Jev introduces a new shape of LLM - System One, aka Decision Models — Simon Willison's Weblog

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