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Jev: The Decision Layer AI Agents Have Been Missing

TL;DR — Most steps inside an AI agent are decisions (route, classify, approve, escalate), not generations . We've been paying LLM prices and LLM latency to have a text generator describe those decisions as JSON. Jev , TypeSafe AI's "System One" model, takes a different approach: you give it program…

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  1. 2026-09-25 20:09 · DEV Community — Machine Learning
    Jev: The Decision Layer AI Agents Have Been Missing

More stories

  1. A Coding Guide to TypeSafe AI Jev: Typed Decisions, Calibrated Confidence, and Speculative Fan-Out with a System One Model — MarkTechPost
  2. How to train your own Jev for $17 — Together AI Blog
  3. OpenAI, Anthropic cut AI model costs as price-performance race intensifies — InfoWorld AI
  4. Mica v0.1 4B: open Jev-style decision model (yes/no, choice, score) that runs on an 8 GB GPU — trained for under $30 of GPU time — r/LocalLLM
  5. New frontier AI models, TypeSafe’s Jev AI, & NASA’s IBM collab — Mixture of Experts (IBM)
  6. 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
  7. stuntd: a local Jev-compatible server on Laya that learns from your own traffic (no API key needed) — r/LocalLLaMA
  8. I built an open-weight alternative to Jev / TypeSafe - introducing OpenJudgement-4B (early preview) — r/LocalLLaMA

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