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
Jev by industry
Software & DevTools
29 curated entries. Software engineering, developer tooling, and coding agents.
By format
- Repos & sites20
- Videos5
- Articles3
- Playgrounds1
29 resources
1.1kGitHub stars
A local yes/no decision model that speaks Jev's wire format on a laptop CPU, refusing Choice and Score until those question types ship.
Models & Reimplementations#community#python#open-models
Community
feder-cr/jevPython
feder-cr/jevPython702GitHub 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
Community
ollaya-dev/ollayaRust
ollaya-dev/ollayaRust689GitHub stars
A local server that reads next-token probabilities from a fine-tuned Spark model and returns Choice, Score, and Noul answers with zero generated tokens.
Models & Reimplementations#community#python#open-models
Community
Rizzo-AI-Academy/rizzo-flowPython
Rizzo-AI-Academy/rizzo-flowPython520GitHub stars
A Node and TypeScript package that runs Convai's Laya checkpoint through ONNX Runtime, with the same system_one shape as the Python reference.
Repos & SDKs#community#typescript#open-models
Community
receptron/layaTypeScript
receptron/layaTypeScript39GitHub stars
A local /v1/systemone server that reads label probabilities from a GGUF chat model, with prompt repetition and a confidence shrink toward uniform.
Models & Reimplementations#community#python#open-models
Community
Mushroom-Systems/lichenPython
Mushroom-Systems/lichenPython7GitHub stars
A Python server in front of llama-server that reads one-token label probabilities and exposes them as POST /v1/systemone.
Models & Reimplementations#community#python#open-models
Community
khimaros/verdictPython
khimaros/verdictPython344GitHub stars
A multimodal decision model that scores text, image, and video candidates with a shared head on Qwen3.5, plus SFT and experimental RLCD training code.
Models & Reimplementations#community#python#open-models
Community
Liuziyu77/ValenPython
Liuziyu77/ValenPython792GitHub 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
Community
dzhng/jevgrepTypeScript
dzhng/jevgrepTypeScript468GitHub stars
Classifies and splits PDFs, DOCX, and PPTX with local page text from LiteParse and category decisions from Jev.
Tools & CLIs#community#python#document
Community
jerryjliu/docjevPython
jerryjliu/docjevPython323GitHub stars
A single-binary MCP tool named evaluate that sends Noul, Choice, and Score questions to hosted Jev or a local System One server.
Agents & MCP#community#go#mcp
Community
itsmostafa/system-one-connectorGo
itsmostafa/system-one-connectorGo27GitHub 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
Community
FrancoisChastel/jev-codeTypeScript
FrancoisChastel/jev-codeTypeScript18GitHub 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
Community
AgriciDaniel/gatekeeperPython
AgriciDaniel/gatekeeperPython59GitHub stars
A local gateway that forwards /v1/systemone to TypeSafe, stores each call in SQLite, and draws the calls on a live map.
Tools & CLIs#community#javascript#local
Community
andududu/jeviewJavaScript
andududu/jeviewJavaScript19GitHub stars
An IMAP client that turns each inbox category into a Noul, then tags, moves, flags, or calls a webhook when the probability clears that category's threshold.
Tools & CLIs#community#python#email
Community
parth-kp/jev-mail-classifierPython
parth-kp/jev-mail-classifierPython33GitHub stars
Four Java checkers — sponsored video, hiring fit, edit fidelity, and rental listings — that keep thresholds and vetoes in unit-tested code.
Tools & CLIs#community#java#verification
Community
klauswg/jev-suiteJava
klauswg/jev-suiteJava3GitHub stars
A 770-post benchmark that scores Jev, Sonnet 5, GPT-5 nano, and two local models on Reddit verdicts with weighted Brier scores.
Benchmarks & Evaluations#community#python#evaluation
Community
dchristopoulos/jev-aitaPython
dchristopoulos/jev-aitaPython3GitHub stars
A sentiment study of whether Jev's stated confidence matches accuracy, comparing raw scores with Platt scaling and isotonic regression.
Benchmarks & Evaluations#community#python#evaluation
Community
AnthusAI/Jev-CalibrationPython
AnthusAI/Jev-CalibrationPythonAn 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
Datadog's walkthrough of one Jev rubric that scores every criterion in a single request, then runs as online evals on live spans and as offline experiments.
Guides & ArticlesArticle#community#article#evaluation
Community
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
Sam Reghenzi's product-taxonomy benchmark: a Jev Choice at every level versus a gpt-5.2 agent that descends the tree and can be sent back by a judge.
Guides & ArticlesArticle#community#article#evaluation
Community
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
Codevolution's walkthrough of state, questions, and answers, then a customer-message demo in the TypeSafe playground and the TypeScript SDK.
Guides & ArticlesVideo#community#video#tutorial
Community
Yash Thakker's intro to System One, plus 50 open-source demos that compare Jev with a regular LLM, linked from the description.
Guides & ArticlesVideo#community#video#use-cases
Community
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
KodeKloud on why a System One model returns calibrated probabilities, then a Papers, Please-style queue where Jev is compared with GPT-5.5 and DeepSeek.
Guides & ArticlesVideo#community#video#explainer
Community
21GitHub stars
An MCP proxy and hooks adapter that screens an agent's tool calls before they run and the tool results before the agent reads them, with thresholds in a policy file.
Agents & MCP#community#mcp#security
57GitHub stars
An Apache-2.0 decision engine with a TypeSafe-compatible endpoint, document answers with source passages, and a ViZDoom demo that picks actions from structured game state.
Models & Reimplementations#community#python#local
Community
deepanwadhwa/OpenDecisionPython
deepanwadhwa/OpenDecisionPython3GitHub stars
A self-hosted System One server: one /v1/systemone contract, a Docker image each for Laya and kev, and a playground where snake, dino, and tetris call that endpoint.
Models & Reimplementations#community#python#local
Community
chaitin/DecisPython
chaitin/DecisPythonArticles
Original guides that go deeper on software & devtools.
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
Jev labels a record that already exists. Code moves, flags, or holds it. How the document, mail, and transfer tools keep the action out of the model.
Tools & CLIs#classification#email#security
Read article
A game tick is a state plus a legal action list. How Clash Royale, Minecraft, and the earlier Mario, Pokémon, StarCraft, and drone loops ask Jev one step at a time.
Demos & Experiments#gaming#agents#control
Read article
Watch: Jev in action
Video walkthroughs and demos from the community.
YouTube: Greg Isenberg and Ryan Vogel on the businesses Jev unlocks, and a path in through the Vercel AI Gateway.
YouTube: CJ from Syntax demos browser use, classification, code review, a model router, and a chat bot with no LLM.
YouTube: Ryan Vogel runs Jev on 100 and then 1,000 emails: category, priority, spam, and reply predictions.
Discussions
Threads from Reddit and Hacker News about building with Jev.
Reddit: Matthew Berman's video on Jev, at roughly 290K views.
Hacker News: Jev implemented in 25 lines of Python
bashbjorn400 points · 128 commentsJev in 25 Lines of PythonRead the thread on Hacker NewsHacker 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 NewsHacker 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 NewsFrom the community
Posts from builders shipping with Jev right now.
Trading bot, one decision per block
Classifying 1,500 real emails
this model is actually insane at email classification i tested it on 1500 of my own emails to see how well it works and I am blown away
@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
Fast browser use with Stagehand
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
@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
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.)
@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
Instant compaction with Jev
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
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
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