Jev
TypeSafe's System One model. Typed decisions, no chat. Trained with RLCD. Output tokens free.
TypeSafe Jev · 15 September 2026
TypeSafe left stealth on 15 September 2026 with Jev. 43 first-party ships we cataloged, each with the original post.
Diogo Almeida, who worked on InstructGPT at OpenAI, trained Jev with RLCD, Reinforcement Learning for Calibrated Decisions. The model cannot write a sentence. It scores choices. Input is $0.042 per million tokens. Output is free. That is the whole pitch, and people started wiring it into crawlers, code review, and trading bots the same week.
Open weights showed up within days. Laya from Nandakishor M, Kev from Jared Palmer, SemIf from Theodore Lee. Same shape of question, local models, no TypeSafe key. We list first-party posts for those too.
Official note: Introducing System One Models and Jev. Waitlist: typesafe.ai. Announcement: the original post.
TypeSafe's System One model. Typed decisions, no chat. Trained with RLCD. Output tokens free.
Open Apache 2.0 System One model. ModernBERT, typed choice/score/noul in one pass. Fine-tune notebook on Kaggle T4s. Not Jev.
Jared Palmer's open Jev-like family on Qwen3.5. 0.8B, 4B, 9B. TypeSafe SDK with a base_url change. Train on one H100.
Open decision model that reads option logits from local Qwen-class weights. Browser demo at openjev.com. TypeSafe SDK compatible.
Laya on Apple MLX. Under 1GB RAM, 7 to 14ms on M3 Max. Snake at 60 decisions a second, no PyTorch, no cloud.
Computer use on Jev. Screenshot, decide, click or type, with a log of every step. Open source.
Draw something. Jev guesses what it is, then judges the drawing.
Same Laya weights on MLX GPU and Apple Neural Engine at once. P99 1593ms to 80ms on M4 Max.
Claude Code plugin. Jev sets effort to low, medium, high, or xhigh per prompt. Fail-open if Jev errors or times out.
Python DSL for Jev. Four functions: check, classify, label, and score. Drop decision models into your code.
Claude Code plugin. Second opinion from Jev: does this diff match the ticket, is this command safe to run.
Scan TypeScript, JavaScript, or Python for LLM calls that are really decisions. Estimates Jev cost and speed. npx jev-swap scan.
Claude Code mod. Jev picks one skill per prompt and injects only that SKILL.md. The rest stay out of the context window.
CLI wrapper that asks Jev what you meant. git record suggests git commit. npm add suggests npm install. Intent, not edit distance.
Open 151M decision model on ModernBERT. JevBench #2 on public tasks after the inference-engine fix. Weights and a WebGPU playground.
4B, 9B, and 35B-A3B decision family for browser agents. ~26ms median. TypeSafe SDK. Weights on Hugging Face.
LangChain serving SemIf free for a week through the gateway. TypeSafe SDK, change a string. Jev BYOK works too.
Open System One model in the same class as Jev, Kev, and Laya. State plus typed questions in, calibrated probabilities out.
Self-hosted HTTP GET wrapper for TypeSafe Jev. Paste a URL in the browser and get a typed decision back.
Whisper a rumor to one of 12 residents. Watch Jev decide who gossips and who runs to the cafe.
Chess against TypeSafe Jev. Open source, playable in the browser.
Paste a cold email. Jev scores four checks in under 500ms. BYOK, runs in the browser.
Native Mac clicker for Claude Code and Codex. Jev decides, OmniParser and Apple Vision stay on-device. Apple silicon, BYO token.
Chrome extension that uses Jev to hide anything you describe on X. Ads, spam, or a sentence you type.
Realtime support triage with Jev routing tickets, then Cerebras drafts the reply. Typed decisions, no text to parse.
CLI that puts Jev on a LeRobot SO-101 arm. Discrete steps go to Jev, angles stay with the LLM.
Jev solves a 3x3 Rubik's cube in about 0.5s. Playable in the browser, source on GitHub.
Poor man's Jev on local models via omlx. Same API shape as Jev, for people without access yet. From GitHub Next.
Chrome extension that uses Jev to tag tweets and fold bait, filler, and AI copy.
Flutter package for natural-language integration tests, scored by Jev.
Chrome extension that listens to YouTube audio, detects sponsor segments, and skips them in real time. Open source, BYOK.
Give it a company homepage. Jev finds Careers, scores roles against your profile. Job crawler rebuilt from 5 minutes to 20 seconds.
Simple Jev review bot. Shipped in the first hours of Jev access.
Rust SDK for Jev. Typed async choices, scores, probabilities, and confidence.
Production layer for Jev: policy, confidence gate, shadow mode, recipes, eval CLI.
Wires Jev into Claude Code so every review finding is scored before you read it.
Proof-of-concept code vulnerability scanner using Jev. Flags risky code without an LLM writeup.
Playable Jev demo. A needle that panics in realtime. Possibilities, not text.
Turns AGENTS.md preferences into Jev-shaped checks. An intelligent linter for your agent.
Pi extension powered by Jev that hides low-value history from model context without deleting the session.
Trading bot with Jev. Buy or sell from a price feed, then places orders on Monad via Kuru every 300ms.
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 Show more
Asking everyone to fine tune github.com/NandhaKishorM/… Just use any kinda agentic harness like claude code, codex etc. Change the code and use free kaggle GPUs to train your own use cases. Base model has limitations
Kev has now been refactored on top of Qwen3.5. New checkpoints are now available at 0.8B, 4B, and 9B along with a fine-tuning script you can use with @modal. github.com/jaredpalmer/kev
UPDATE: Kev-0.6B, 4B, and 8B are now available. Kev is a family of small open source Jev-like decision models you can train and run yourself. This new family is based on Qwen3 using the same LoRA + small pointer head technique as before, but scaled up. Out of domain, on data
SemIf update today: merged Apple Silicon/MPS support (GitHub: dp-IED), a 27B EXL3 bridge hitting 95.8% balanced accuracy (@jkyamog) , and proper temperature calibration (GitHub: samarthpatel24) 📊 Check it out at openjev.com, GitHub.com/theoleecj/semif
介绍比Jev快50倍,在你设备上跑的laya-mlx! 只在你的设备上占用最高1G内存 Laya是一个开源的类似于Jev的,基于文本输出概率的分类系统 我将其移植到MLX,并且做了一些性能优化! 视频中就是这个模型在我的本地M3Max上玩贪吃蛇 这个模型能够以每秒决策60次的速度玩贪吃蛇! github.com/mizorewww/laya…
System One Computer Use is now open source 👇 github.com/brainstormity/… - Screenshot → decide → click/type loop - Dashboard with screenshots and decisions for every step - Cost tracking per step (~$0.002 a task) - Stops when it isn’t sure instead of guessing It’s a prototype Show more
I just built Computer Use that’s cheaper, faster, and acts like a human 🖥️ Powered by @typesafeai’s JEV 1.14, using the new Image/Box feature. It looks at the screen, decides what to do, then clicks and types like a real person. ⚡ Way cheaper than using an LLM 🧑 Acts like a
I made a game with Jev from @typesafeai where it guesses what you draw 🎨 Jev chooses from a set of options and also judges your drawing. try it: people-v-your-drawing.vercel.app
I had built SPM Swift packages for Jev github.com/SoundBlaster/S… Use it in your apps with a smooth and clear API! @typesafeai
Everyone’s making Laya vs Jev game demos, so I tried a different experiment: Can the same Laya model run on both the MLX GPU and Apple Neural Engine? Then I used both at once for serving. M4 Max, bursty load: P99 1592.9 ms → 79.5 ms github.com/tc3oliver/laya…
Inspired by Codex effort routers powered by Jev, I built this for Claude Code. For each prompt, it sets effort to low, medium, high, or xhigh. Routine work goes down. Hard or production work goes up. If Jev errors or times out, effort stays unchanged. github.com/eSaadster/jev-…
Jev is amazing: fast, simple, and powerful. So I built a Python DSL to match. Introducing ✨✅ vibecheck. Four functions that drop decision models right into your code: check, classify, label, and score. github.com/jlowin/vibeche…
I built Sensibility, a Claude Code plugin that gives Claude a second opinion. Does this diff match the ticket? Is this command safe to run? Claude asks Jev (TypeSafe's judging model) and gets an answer. github.com/rajnandan1/sen…
I observed that some LLM calls in many repos could run 99% cheaper & up to 13× faster. I scanned 1,000+ repos & found so many calls that are really just decisions: route this ticket, flag this spam, score this priority, blah blah.. but all this started with a question from a Show more
Introducing Jev Skill Suggestion for Claude Code Now you can keep your skills completely out of the context window until they’re actually needed Set your skills as user invocable only, and the Mod sends the available skill list to Jev For every request, Jev classifies which Show more
Jevを使って、サブコマンド名を間違えた時の「Did you mean?」をセマンティックに出してくれるCLIツールWrapperを作りました。 例えば `git record` って打ったら `git commit` をsuggestするし、`npm add` には `npm install` をsuggestしてくれます syumai/jevyoumean github.com/syumai/jevyoum…
Did my openJev Verdict(Oss jev made on just 151M param base model) hit #2(possibly #1 even?) on JevBenchmarks> When JevBench v1.2 evaluated openJev Verdict earlier this week, we were sitting at #11 with a score of 66.2. I audited the benchmark run this morning and realized the Show more
Did my OSS-Jev called Verdict, beat Official Typesafeai 's Jev ?, and Laya (the best performing OSS Jev) on their own benchmark? When I first tested Verdict 1.0(my earlier attempt of oss-jev) earlier this week, it scored 26.10% accuracy. Uniform random guessing on that split is
🚀 APUS-OpenJev: I built a 4B/9B/35B-A3B model family for browser agents and business workflows. ⚡ ~26 ms median response 🎯 82.2% vs Jev’s 77.0% 🧠 Selectable compute depth 🔌 TypeSafe SDK integration Models (huggingface.co/collections/ap…)
🆓 Free Open-Source Jev 🤝 LangSmith Gateway Decision models are becoming a first-class part of the LangSmith Gateway! We're serving SemIf, an open-source decision model, free for the next week. Compatible with the TypeSafe SDK - just change a string to try it! Docs in 🧵
Just open-sourced JEV FOR DUMMIES. github.com/brainstormity/… I've noticed a lot of folks feel intimidated getting started with JEV (@typesafeai). It's a new type of model, and it's not chat-based, so that's totally understandable. So I created a tiny, self-hosted HTTP API wrapper Show more
I gave 12 residents the ability to gossip. Whisper “Free Coffee in cafe for next hour” to one person. Watch the 12 resident rush to the cafe shop. Built with Jev. Try your own rumor: rumorville.nikhil-063.workers.dev
I built a chess game where you can play against Jev. See if you can crush this System One agent—I know I can 😂 Jev still has some learning to do. Open source: github.com/CPPAlien/playw… Try it: playwithjev.vercel.app @typesafeai
Everyone's building massive Jev workflows this week. I built something small on purpose. A cold email grader. Paste any outbound message. Jev scores it against four checks and returns a typed verdict in under 500ms. Is it specific to the recipient? Is the ask low-friction? Show more
Give Claude Code or Codex a native Mac clicker. I open-sourced Jev macOS Loop. The README has a prompt your agent can follow through setup and verification. Apple silicon. BYO OpenRouter, Vercel or TypesafeAI token. github.com/jcpsimmons/jev…
i made an x post filter for this, github.com/anyfilter/anyf…
i just shipped a small repo that will help you understand it perfectly.its a Real-time support triage + response bot using Jev and cerebras github.com/TheEleventhAva… PS if you like it,approve my entry to the hackerhouse. I applied with rewantgoenka87076@gmail.com
If you have a LeRobot SO-101 at home, you can put Jev on it with quackd CLI. The "--jev on" parameter sits in front of the model and takes the discrete steps (read state, gripper, stop). Angles stay with the LLM. On the steps Jev can take, each call is about 54× faster and Show more
A fun benchmark for Jev from @typesafeai Jev can solve a 3x3 rubik cube in 0.5s Try it: rubikjev.solo.engineer Open source: github.com/0xtrou/rubikjev
I challenged Jev from @typesafeai to solve a rubik cube, this is wild!
github.com/githubnext/loc… Not everyone on the team has access to Jev yet. Spent a morning cobbling together a poor man's Jev on top of omlx for local use. Benchmarked and eval'ed a variety of models including diffusiongemma and a variety of autoregressive models (Qwen MoE, Gemma 4 Show more
vibe 了个 Chrome 插件 Sift: 用 Jev 给每条推文打标签 + 标 AI 概率,钓鱼帖、水帖、AI 味文案直接折叠 github.com/bohutang/sift
#jev #typesafe #flutter #mobile #test Using Jev from TypeSafe.ai, I created a flutter package that allows you to write integration tests for Flutter apps using natural language. github.com/jaewgwon/jevis pub.dev/packages/jevis
Just trying out Jev, I made a Chrome extension that: - Listens to your YouTube audio (optional) - Detects if it gets to a sponsor segment - Skips it ➡️➡️➡️ - All in real-time while costing ~$0.005 per video Prototype project, BYOK, open-source: github.com/trungdq88/yout…
I open-sourced the skill from this experiment: jev-job-hunter. Give it a company's official homepage. Jev finds the Careers entry point, identifies job pages, and scores each role against your profile. If you have a Jev API key, give it a run: github.com/hqman/JevScout
I rebuilt my job crawler with Jev. The task: start at a company's official homepage, find Careers, and identify jobs that match my profile. Before, with an LLM: ~5 minutes. After, with Jev: just over 20 seconds in my test. Every company organizes its website differently. Jev
so far, 3 very simple review bot, shipped within the first few hours of gaining access - github.com/devagrawal09/j… a more general coding assistant using only jev that i'm still working on - github.com/devagrawal09/j… another internal project at work that combines deterministic ast Show more
I've open sourced this if anyone wants to check it out github.com/moritzkremb/je…
TypeSafe Jev is great at structured decisions. I open-sourced the missing production layer: jev-harness → policy → confidence gate → shadow mode → recipes → eval CLI github.com/AntonioCoppe/j…
I wired TypeSafe's Jev into Claude Code so every code-review finding gets scored before I ever read it. First real run, I pointed it at the plugin's own file reader. It found a genuine bug I had shipped 20 minutes earlier. MIT: github.com/buchmark/claud…
Spent this morning with Typesafe’s Jev - a model that returns possibilities, not text. I made a needle that panics in realtime ask-jev.vercel.app
I know I'm late to the party. But here is my mandatory Jev project. It turns your preferences in AGENTS.md file into something Jev-shaped, so your ai agent can use it sort of like an intelligent linter? github.com/doeixd/jev-pre… @typesafeai
Built pi-jev-context: a Pi extension powered by TypeSafe Jev that hides low-value history from model context without deleting your session. Opt-in, reversible, and configurable. Keep useful context. Drop the noise. github.com/kevinpita/pi-j…
I built a trading bot with Jev! Jev decides if it should "buy" or "sell", given the price feed of an asset pair, and executes real trades. It uses Monad to place the orders on Kuru's on-chain order book in every 300ms block. Demo link → jev-trader.vercel.app