
Updated Oct 3, 2026
What people are building with Jev
Projects, posts and guides about Jev, the System One model from TypeSafe AI. Each entry links to its source and shows the cost and speed its author reported.
- 756builds
- 164guides
- 21use cases

Diogo Almeida
@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 cheaper (w/ output tokens free) • Frontier composable intelligence optimized for decisions AFAICT the shortest path to AI-based economic revolution


GitHubAgents and browsers
macos-computer-use-kit
AX-first computer use on macOS with optional Jev semantic guards.
Sur-Cai
5
GitHubTrading and markets
jev-as-quant
Typed System One decisions as the judgment layer of a quant stack.
jiayylu
3
delost
@thedelost
this is pure f*cking treasure 10 GitHub projects that put Jev between your agent and every decision your agent should stop paying a frontier model to answer yes or no ROUTE THE WORK 01 jev-router > https://github.com/gargpratyush/jev-router 02 jcm-router > https://github.com/adarshmishra07/jcm-router 03 jev-agent-skill-router > https://github.com/GodsBoy/jev-agent-skill-router GUARD EVERY ACTION 04 pi-heed > https://github.com/Nyarlathoteppppp/pi-heed 05 fx > https://github.com/vercel-labs/fx 06 Foreman > https://github.com/thruwire/foreman SCORE WHAT MATTERS 07 LlamaIndex Jev > https://github.com/WiktorB2004/llama-index-jev 08 citation-verifier > https://github.com/MarissaFamularo/citation-verifier PUT IT TO WORK 09 yoshi > https://github.com/compozy/yoshi 10 mastra-jev-moderation > https://github.com/CodeAlive-AI/mastra-jev-moderation the loop: your agent hits a fork > Jev answers with a probability > your code decides what that number allows > the agent moves on 3 builds I'd explore: coding agent: jev-router > fx > Foreman > yoshi support desk: jev-agent-skill-router > mastra-jev-moderation > LlamaIndex Jev research: jcm-router > pi-heed > citation-verifier save this, then build a decision layer for your agents ⭣
Guidex.com
10 GitHub projects that put Jev between your agent and every decision
delost's list of ten repos, grouped as route the work, guard every action, score what matters and put it to work, with three suggested stacks for coding, support and research agents.



GitHubContext and memory
cairn-jev-lab
Test what your AI should remember, with Jev deciding admission.
Cairn-ink
4

MIKE
@mikenevermiss
Jev is brand new and there's no tutorial for it yet. so I wrote the prompt that makes Claude read the docs, pick one real use case, and build the agent. it's a runnable code, added failure handling, and a rule for when Claude takes over. paste it in and try it.
Guidex.com
A prompt that makes Claude build your first Jev agent
MIKE's prompt has Claude read the Jev docs, pick one real use case and build a runnable agent, with failure handling and a rule for when Claude takes over.




darkzodchi
@zodchiii
Send this Jev prompt to Opus 5.5 or any AI agent it installs Jev → audits your workflow → finds where you waste tokens, time and money then moves repeatable decisions out of expensive Opus calls → upgrading your AI stack beyond 95% of people Copy this now. Thank me later
Guidex.com
A prompt that audits your workflow for Jev
darkzodchi's prompt for Opus 5.5 or any agent: install Jev, audit the workflow for wasted tokens, time and money, then move repeatable decisions out of expensive calls.
arminn
Live siteSearch
A forum database, searched by Jev
Jev finds the most relevant posts in a forum database.
bigmuzzy

NO1ennn
@N01ennn
x.com/i/article/2103…
Guidex.com
Jev in the Agent Loop: A Complete Guide to Decision-Layer Automation
N01ennn's long guide: mark the decisions in an agent loop, move them off the frontier model, and measure the result. Its best part is the arithmetic for why routing down and back up can cost more than never routing.

Live siteBenchmarks and evals
JevBench
A reproducible benchmark for typed decision models.
florianstandhar
Live siteGames and real time
Jev-mice
A mouse colony simulation with Jev deciding and a deterministic engine acting.
carsonsweet
dimakrivolap


Gipp 🦅
@gippp69
x.com/i/article/2103…
Guidex.com
Jev Desk: How to Build a 24/7 AI Agent That Decides for Free and Only Pays to Write
Gipp prices a four-lane event desk and shows where the bill ends up: in the share of events that go to a writing model. Includes an audit lane for the ignored events and a daily bill script. The bill figures are assumed rates, not invoices.



GitHubSearch
Jev-powered Obsidian search
Search an Obsidian vault with Jev deciding relevance.
MikeLembo
10
GitHubOpen source
Beating Jev with open models
An attempt to beat Jev’s accuracy, speed and cost with open models.
rob313
8faangguyindia


Frit🅾️ Pendej🅾️
@vwapster
I think I just developed an additional income stream for everyone. Kalshi $BTC 15minute trading bot built with OPUS 5.5 + jev. Real time decisions in volatile short markets. Join the waitlist and track the real time PnL at https://vwapster.com Working on launching hosted subs by end of next week.
XTrading and markets
PickA Kalshi BTC bot on a 15-minute clock

Oliver Prompts
@oliviscusAI
grok 4.7 thinks. jev reacts. together, one ai agent now thinks twice before every move, and pays a fraction of the price for it. grok-jev-reflex is a free, open source router that pairs the two: grok 4.7 plans and acts, jev makes the cheap yes/no calls in between, at $0.042 per million tokens, answered in about 239ms. > 25 tools sent on every call, cut down to 8 > first prompt: 17.8k tokens → 9.5k tokens > bill: up to 40% less, same speed > numbers measured independently on xAI's grok build setup is 5 messages, no code, about 7 minutes: make a key, install, add one rule, run a shadow day watching only, then go live. jev can only make the agent do less or ask more, it can never approve anything irreversible on its own. 100% free. open source.
XRouting and model choice
PickGrok-Jev Reflex

Ali
@alisadiq_ai
Been playing with Jev, and I built a realtime filter for my LinkedIn feed. Trying to be more active here without drowning in AI slop. It scores posts in real time based on what I care about. Change the prompt, change what matters. Open source. Demo below 👇
XSocial feeds
PickA real-time LinkedIn filter

Dario Crespo
@crespodario
Metí a Jev en un chat. 🤖 Para que no tengas que volverte loco/a adivinando cómo probarlo. probalo sin instalar nada y sin registrarte. 👉 Probalo acá: lnkd.in/dhFX5XYY Y si querés armar tu propia versión, el código está abierto: lnkd.in/dXSu6ki3 😉
XTools and apps
Put Jev in a chat

Christopher Jones
@dr_chrisjones
Progress on building the data center optimizer for load balancing + power management. Also testing Jev against classic algorithms and an LLM agent with the same GPU rack, same 24h of jobs, and same power limits. Needs more tuning but not bad for an early demo.
XTools and apps
A data center optimizer


Dario Crespo
@crespodario
Metí a Jev en un chat. 🤖 Para que no tengas que volverte loco/a adivinando cómo probarlo. probalo sin instalar nada y sin registrarte. 👉 Probalo acá: lnkd.in/dhFX5XYY Y si querés armar tu propia versión, el código está abierto: lnkd.in/dXSu6ki3 Contame
XTools and apps
Jev in a chat, no install

Guido Pettinari
@coccoinomane
Local open-source version of Jev 🤯
XOpen source
A local open-source version of Jev

netrunner
@plotarmordev
Another Jev competitor just dropped: CLM-8B from @jackyk02 and the Stanford/NVIDIA team, with open weights under Apache 2.0. They claim it's comparable to Jev with up to 9x faster inference We went from zero options to a new one almost every day!
XOpen source
CLM-8B, a new Jev competitor

Yasuhito Morimoto
@yasuhito_morimo
【国内AIエージェント動向(2026/9/24号)】 本日の国内AIエージェントニュースのポイントはこちら👇 ・ KandaQuantum、Fuga v2で1日2,000体超を指揮 ・ GPTBots. ai、Jev統合で二層型AIを構築 ・ 信頼度スコアで自動実行・人手確認・上位判断を動的切替 ・ 競争軸は単一モデル性能から運用設計・業務KPI重視へ ▼ 各主要トピックの詳細はこちら https://note.com/yasuhitoo/n/nf13d3908657e AIエージェントは「賢いモデル選び」から「どう役割分担し、どこで人が介在するか」の設計競争へ。企業導入では運用KPIがより重要になりそうです🤖
XAgents and browsers
GPTBots.ai integrates Jev

CyrilXBT
@cyrilXBT
JEV IS INSANE your coding agents forget everything the second the session ends. Every fix. Every dead end you already hit. Every "no, not like that." Gone. Tomorrow you teach it all over again. Someone just open sourced the fix, and it runs on Jev. It's called Beacon, by @asymptotelabs. It pulls in your session history from Claude Code, Codex, Cursor, OpenCode and 20+ other agent tools and turns it into one shared memory. But storing everything isn't the hard part. Most agent runs are GARBAGE to learn from. Failed commands. Wrong turns. One off hacks you'd never want repeated. Save all of that and your agent just gets confidently worse. So Beacon keeps the full history, and Jev decides what actually earns a spot in memory. Promote it. Send it for review. Or throw it away. That's a decision you need on thousands of sessions, which is exactly why it has to be cheap. The runs that survive get turned into reusable skills. So something Cursor figured out on Monday shows up in your Claude Code session on Tuesday. Your agents stop starting from zero. Every good run makes the next one smarter. Repo: http://github.com/Asymptote-Labs/agent-beacon Star it and save this. follow @cyrilXBT
XContext and memory
PickBeacon fixes a coding agent’s memory

Geek Lite
@QingQ77
Codex 一旦开跑,推理档位就钉死不动,读个文件也用最高强度烧 token,这个项目让 Jev 在每次生成前重新挑档位。 github.com/miuuyy/Astra-A…
XRouting and model choice
PickJev picks the reasoning level first

Eric Yang
@ericjingyang
In Silicon Valley, Jian Yang built the Not Hotdog app. A decade later, his bro has finally continued the family business. The Not Slop extension, detects LinkedIn and X slop as you scroll, powered by Jev. Every generation gets the classifier it deserves.
XSocial feeds
The Not Slop extension

Edwin Mesa
@edwinfmesa
Seguí con dos consultas: un código de verificación que no llega y cómo navegar con el teclado. Jev eligió seguridad y manual de usuario; Laya, privacidad y términos. En ambos casos me convencen más las elecciones de Jev, aunque Laya volvió a responder más rápido con mi setup.
XSecurity and abuse
Jev and Laya on security queries

Edwin Mesa
@edwinfmesa
Empecé a escribir: "¿Qué precio tiene la suscripción anual?". Antes de pulsar Enviar Jev y Laya ya sugerían planes_y_precios.md. Eso es lo que quería probar: si el agente puede tener una pista de qué consultar antes de que le llegue la pregunta, con mi setup Laya fue más velóz
XOpen source
Predicting queries before submission

Melvin Vivas
@melvindvivas
We can use this for Codex limits real-time sentiment analysis lol Jev + ElevenLabs
XTools and apps
PickReal-time sentiment with Jev and ElevenLabs

Packapun
@packapun
New kid on the block typesafe.ai/blog/introduci…
XBenchmarks and evals
TypeSafe introduces System One models and Jev

Nikkhil Narang
@acenik10
Your agent doesn't need a bigger brain. It needs a faster one. Most agent decisions are tiny — urgent or not, which queue, yes/no. We run them through frontier models anyway. TypeSafe's new Jev does it in milliseconds for a fraction of the cost. #AIAgents #Jev
XBenchmarks and evals
TypeSafe launches Jev


Tuan N
@__tuan____
Sooner or later everyone will come to realize System One Paradox or Jev Paradox is real. The inevitable path forward is System One Plus or System One+. x.com/__tuan____/sta…
XBenchmarks and evals
The System One paradox