Jev
Fast, structured AI decisions for software automation
Jev launched on September 21, 2026 with 544 votes, #3 of 8,043 launches that month and more than 99% of that year's launches.
In plain words
Jev is an AI model designed for software automation that returns structured decisions rather than text. It outputs Choice, Score, and Noul answers with calibrated probabilities that code can act on directly. Built for developers, Jev processes requests in 70-500 milliseconds and costs significantly less than comparable language model workflows, with free output tokens. The service is available through TypeSafe's console with no waitlist required.
written from the facts on this page · September 2026
From the sources
Jev is TypeSafe AI's System One frontier model: unstructured state in, typed probabilistic decisions out. Instead of generating text, Jev returns Choice, Score, and Noul answers with calibrated probabilities your code can act on. Parallel sampling delivers ~70-500ms responses, about 20-200x faster and 40-400x cheaper than comparable LLM workflows, with output tokens free. Now available to everyone at console.typesafe.ai with no waitlist.
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Jevstiller – Distill Jev into a local model, with a disagreement bound3d ago · jevstiller.pages.dev · ▲66September 2026. Every number here is from the benchmarks, and bash experiments/bench.sh --no-record reruns them without an API key.
Jevper – the Jev interface on top of any OpenAI-compatible model9d ago · github.com · ▲11Jev-shaped (TypeSafe System One) classification wrapper over OpenAI-like clients: probabilities and confidence instead of prose - zhulinchng/jevper
Jevals – replacing LLM judges with typed Jev decisions12d ago · github.com · ▲47Agent evals and guardrails in one request. Built on Jev, Kev and Laya. - openlayer-ai/jevals
jnv: interactive JSON filter using jq2024 · github.com · ▲373Interactive JSON filter using jq. Contribute to ynqa/jnv development by creating an account on GitHub.
I made a better Perplexity for developers2024 · devv.ai · ▲185Hi HN, I am Jiayuan, and I'm here to introduce a tool we've been building over the past few months: Devv (https://devv.ai). In simple terms, it is an AI-powered search engine specifically designed for developers. Now, you might ask, with so many AI search engines already available—Perplexity, You.com, Phind, and several open-source projects—why do we need another one? We all know that Generative Search Engines are built on RAG (Retrieval-Augmented Generation)[1] combined with Large Language Models (LLMs). Most of the products mentioned above use indexes from general search engines…
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