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Jev by use case

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3 curated entries. Order or rerank candidates for search, retrieval, and recommendation.

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  • Repos & sites2
  • Playgrounds1

3 resources

792GitHub stars
A CLI that asks Jev which files and declarations answer a repository question, then prints verbatim excerpts for a coding agent to use.
Tools & CLIs#community#typescript#cli
27GitHub stars
Five typed tools — classify, check, score, rank, and ask — plus a skill, wired into Claude Code, Codex, Pi, and OpenCode in one setup command.
Agents & MCP#community#typescript#mcp
A Wikipedia race you play against Jev. From the same start article, each hop is one Choice over that page's outbound links.
Demos & ExperimentsPlayground#community#games#playground
Community

Watch: Jev in action

Video walkthroughs and demos from the community.

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.

YouTube: One terminal, three subscriptions, and Jev picking the model for Claude Code, Codex, and Cursor.

Discussions

Threads from Reddit and Hacker News about building with Jev.

From the community

Posts from builders shipping with Jev right now.

Follow @typesafeai

LLM-as-a-judge, sped up

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

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Instant compaction with Jev

A Claude session from 1M to 86K tokens

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

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

700 leads scored for $0.09