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# Where Jev Fits in an Application

This story is from 2026-09-30. It is preserved in the archive; the latest stories are on the live feed.

Suppose you’re building a service that receives customer support tickets. Before assigning a ticket, your code needs to answer two questions: Which team should handle it? Does it need urgent attention? You could ask a language model to write an assessment and then parse its response. Jev , TypeSafe…

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  1. 2026-09-30 19:06 · DEV Community — AI
    # Where Jev Fits in an Application

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  1. Ollama now supports Jev-style decision models — Ollama Blog
  2. OpenAI's Jev clone could help the frontier lab stop its swarming agents — TechCrunch AI
  3. I rebuilt a Jev-style classifier on Qwen3.5-4B: shared-prefix tree, open weights, fine-tunable, ~140 ms on one H100 — r/learnmachinelearning
  4. Trained locally: ultra-fast 0.8B/2B System 1 decision models that match Jev on benchmarks and Doom, ~30 ms per decision (open weights) — r/LocalLLaMA
  5. New frontier AI models, TypeSafe’s Jev AI, & NASA’s IBM collab — Mixture of Experts (IBM)
  6. LLM or JEV? Why not both? - introducing a hybrid Gemma4 approach — r/LocalLLM
  7. The Boundary Problem: How the Jev TypeScript SDK Keeps Type Safety Alive Across the Wire — DEV Community — AI
  8. Jev: 8 real use cases for the fastest, cheapest model I’ve ever used | John Lindquist — How I AI

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