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Jev by use case

Routing

6 curated entries. Send each request, ticket, or task to the right branch, team, model, or tool.

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  • Repos & sites2
  • Videos2
  • Articles1
  • Playgrounds1

6 resources

Ollaya
702GitHub stars
A local daemon that pulls open decision models and serves them on TypeSafe's /v1/systemone, so a Jev client switches hosts with TYPESAFE_BASE_URL.
Models & Reimplementations#community#rust#open-models
Communityollaya-dev/ollayaRust
Gatekeeper
18GitHub stars
Claude Code hooks that narrow a roster in YAML, ask Jev which handler owns a prompt, and log the band before anything is blocked.
Agents & MCP#community#python#coding-agent
CommunityAgriciDaniel/gatekeeperPython
Jev Playground
An independent browser playground that runs TypeSafe Jev on one question or several, with ready examples for routing, refunds, urgency, and the next agent action.
Demos & ExperimentsPlayground#community#playground#tutorial
Community
Jev vs. GPT-6 Astra
Vercel's guide for when a typed Jev decision is enough and when a job still needs GPT-6 Astra to write, see images, or call tools.
Guides & ArticlesArticle#community#article#routing
Community
JEV: How It Works and What You Can Build
Riley Brown on a decision model that cannot write: a model router, Choice, Score, and Noul, then speed, cost, and where to get access.
Guides & ArticlesVideo#community#video#explainer
Community
I tried TypeSafe's System One model
Joe Maddalone on using Jev for routing and filtering before a generative model, with demo code in a transcript-analyzer repo.
Guides & ArticlesVideo#community#video#routing
Community

Articles

Original guides that go deeper on routing.

All articles
Serving System One Locally
A base URL is the whole client change. What still works when Ollaya, Lichen, verdict, Rizzo Flow, or jevos answers POST /v1/systemone on your machine.
Models & Reimplementations#open-models#local#api
Read article

Watch: Jev in action

Video walkthroughs and demos from the community.

YouTube: Ryan Vogel runs Jev on 100 and then 1,000 emails: category, priority, spam, and reply predictions.

YouTube: AICodeKing tests support routing, refund detection, prompt-injection resistance, and browser automation.

YouTube: Retriever AI tests Jev on real browser tasks: where it worked, where it struggled, and what comes next.

Discussions

Threads from Reddit and Hacker News about building with Jev.

Hacker News: Show HN: a GIF decider that lets Jev pick the reaction.

arminn2 pointsShow HN: I Built a GIF Decider with JevRead the thread on Hacker News

Hacker News: Show HN: a mouse colony where each next move is Jev or a fixed rule.

1 pointShow HN: Jev-mice – mouse colony simulation using Jev and deterministic engineRead the thread on Hacker News

Hacker News: Does OpenAI fast-follow Jev?

JohnBerryman302 points · 213 commentsOpenAI is well positioned to fast-follow JevRead the thread on Hacker News

Hacker News: Show HN: JevBench, a reproducible benchmark for typed decision models

florianstandhar123 points · 34 commentsShow HN: JevBench, a reproducible benchmark for typed decision modelsRead the thread on Hacker News

From the community

Posts from builders shipping with Jev right now.

Follow @typesafeai

Fast browser use with Stagehand

Kyle Jeong
Kyle Jeong
Browserbase
@kylejeong
·

we built blazing fast computer/browser use with Jev + @Stagehanddev. this task cost $0.001 and executed at near instant speed (in a remote browser btw) the loop: observe the page, send a11y tree as state + actions as questions, Jev decides the next action, then Stagehand Show more

Watch on X
Diogo Almeida
Diogo Almeida
TypeSafe AI
@CompleteSkeptic

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

Watch on X
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LLM-as-a-judge, sped up

Yuchen Jin
Yuchen Jin
Databricks
@Yuchenj_UW
·

Jev has spoken. It picked which model is AGI. 20–200x faster. 40–400x cheaper. This could make things like LLM-as-a-judge insanely fast and nearly free. (I tried a bunch of prompts and still didn’t burn through $0.10.)

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Diogo Almeida
Diogo Almeida
TypeSafe AI
@CompleteSkeptic

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

Watch on X
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Read 93 replies

Instant compaction with Jev

A Claude session from 1M to 86K tokens

Alex Volkov
Alex Volkov
CoreWeave
@altryne
·

This is actually insane. This uses @typesafeai Jev model, as a plugin in Claude to review all the un-nesseasary tool calls, and it takes 1s to run! Like, literally, 1 second to take my Claude session from nearly 1M to ... 86K tokens! 😮 Ask your claude to install it and be  Show more

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tamara
tamara
@tamarajtran

found the perfect use case for @typesafeai Jev: instant compaction in 2026, why is compaction still a summarization prompt? Jev can make it instant by scoring every tool call and dropping what’s irrelevant

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Vercel's fx safety reviewer, 18x faster

Guillermo Rauch
Guillermo Rauch
Vercel
@rauchg
·

We're seeing extraordinary results from @typesafeai. Default mode in 𝚏𝚡 is auto, with a safety reviewer analyzing every command. That reviewer runs on GPT Luna today. Jev is up to 18x faster (p95) *and* more accurate. It's coming to @vercel AI Gateway and likely new default.

Pranit
Pranit
Vercel
@fazxes

We benchmarked fx auto mode (safety) classifier with @typesafeai's Jev. tl;dr: ~5-18x faster and more accurate than 𝚐𝚙𝚝-𝟻.𝟼-𝚕𝚞𝚗𝚊, our current top choice

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Jev lands on OpenRouter