Skip to content

The full directory

All Jev AI model resources

Entries for TypeSafe AI's flagship System One model — official docs and SDKs alongside community clients, tools, and write-ups.

Entries
3,919
Categories
11
Official
102
Community
3,817
Source sites
293
Deep dives
3,919

By format

3919
  • Docs169
  • Repos & sites3102
  • Videos74
  • Posts104
  • Articles392
  • Playgrounds78

Updated

Browse the Jev AI model by category

11 ways into the ecosystem. Each category page leads with its own shortlist of starting points.

All 3919 Jev AI model resources

Search the full directory, or filter by category and tag.

Showing 1345–1392 of 3919 resources

1GitHub stars
A pre-registered evaluation of whether Jev hears a rate rise coming: it shows Jev pairs of FOMC press-conference openings and asks which is more hawkish about inflation, then checks rank agreement with same-day rate moves and FedLock's scores.
Jev Benchmarks & Evaluations#community#catalog-import#madewithjev
A Python tool that classifies your starred GitHub repositories with TypeSafe Jev and organizes them into GitHub Lists through gh api graphql — dry-run by default, confidence threshold 0.50, apply only when you pass --apply.
Jev Tools & CLIs#community#catalog-import#logicrw
1GitHub stars
A zero-dependency Node tool that finds where a folder of Markdown notes contradicts itself: crosscheck judges every note pair from both sides, and ask puts one plain-English question to every note and ranks the folder by probability.
Jev Tools & CLIs#community#catalog-import#logicrw
1GitHub stars
Moderation for communities and apps, powered by Jev: every message gets a probability for spam, scam, harassment, nsfw, doxxing and more, plus rules in plain English. Thresholds and actions are yours, and flag-only is the default.
Jev Tools & CLIs#community#catalog-import#logicrw
1GitHub stars
An open lab for using Jev correctly next to Claude Code: a patched jev-router with per-turn model routing, a health-gated fallback with alerts, and write-ups of two silent bugs and of where tokens actually go.
Jev Practices & Patterns#community#catalog-import#logicrw
1GitHub stars
A read-only triage dashboard that finds likely duplicate GitHub issues: lexical retrieval shortlists candidates, Jev answers four Choice questions per pair, and selected passages are shown side by side. It never closes issues.
Jev Tools & CLIs#community#catalog-import#logicrw
0GitHub stars
A local MCP server that runs ready-made Jev question packs for Cursor and other agents: typed Choice, Noul and Score judgments over closed state, with run_questions as the custom path when no pack fits.
Jev Agents & MCP#community#catalog-import#madewithjev
1GitHub stars
A browser agent in pure Go (stdlib only) where Jev picks each step from a finite indexed action space over Chrome CDP — headless, attached to your real Chrome, or relayed through an unpacked extension. Every step is instrumented for timing.
Jev Tools & CLIs#community#catalog-import#madewithjev
1GitHub stars
A small, deliberately bounded browser loop joining ego-lite control with Jev decisions: each step Jev picks an operation and a target from the current ego snapshot, and the executor discards the ref after acting.
Jev Demos & Experiments#community#catalog-import#logicrw
1GitHub stars
A small web app where TypeSafe's Jev plays Tetris by itself — the only control is Reset. Code enumerates every reachable placement and its board facts, and one typed Choice call picks the move with probabilities, latency and cost.
Jev Demos & Experiments#community#catalog-import#logicrw
1GitHub stars
A 25-second IT-buzzword typing game built to feel how fast and cheap Jev is: each word gets five typed judgments in one request, and the screen shows the running cost next to the real HTTP request and response.
Jev Demos & Experiments#community#catalog-import#logicrw
1GitHub stars
A Chrome extension that organizes the current window's tabs and groups by meaning and your sorting rules in a single Jev request, leaving pinned tabs and existing group memberships intact.
Jev Tools & CLIs#community#catalog-import#logicrw
1GitHub stars
A Hermes Agent plugin that adds per-turn model routing — Jev picks cheap, primary or complex before each call — and a trim-then-compress context engine that forbids compressing without trimming first.
Jev Integrations & Adapters#community#catalog-import#logicrw
1GitHub stars
A no-dependency single-page classifier that unpacks a Jev call: paste an API key, edit a choice question, and see the request JSON, per-category probabilities, confidence, latency, token usage and the equivalent curl.
Jev Demos & Experiments#community#catalog-import#logicrw
1GitHub stars
An experiment where Jev plays Zork I: every turn Jericho supplies the valid actions and Jev answers one Choice of which command to type, with confidence bars, an anti-loop memory of the last 8 turns, a JSONL log and a French replay dashboard.
Jev Demos & Experiments#community#catalog-import#logicrw
1GitHub stars
A Chrome extension that sorts Hacker News comments into buckets you define: Jev answers one Choice question per comment in about 300 ms, and each comment gets a coloured label with its bucket and probability.
Jev Tools & CLIs#community#catalog-import#yibie
An interactive Next.js workbench for Jev's three decision primitives through OpenRouter: rank 95+ categories with one Choice pass, test binary Noul decisions with transfer curves, and grade inputs on ordinal Score rubrics.
Jev Demos & Experiments#community#catalog-import#logicrw
1GitHub stars
A GitHub Action that reviews repository files with your own yes/no questions: Jev returns probabilities and the check passes only when every expected answer meets its configured threshold.
Jev Integrations & Adapters#community#catalog-import#logicrw
A BYOK workbench for practicing Jev concepts without official access: emulates State, Noul, Score and Choice via Groq, OpenAI, Anthropic, Gemini or local Ollama, or runs against native Jev with authorized credentials.
Jev Demos & Experiments#community#catalog-import#logicrw
1GitHub stars
Classify tabular data with Jev, Laya or OpenJev without putting your whole labeled dataset into context: a learned tree of small views asks for more rows and columns only when they help, then stops.
Jev Repos & SDKs#community#catalog-import#logicrw
An experimental supervisor where Jev oversees a Codex coding worker through the Vercel AI Gateway: completion requires a zero exit code from the programmer's acceptance command plus Jev's thresholds, on unchanged observed source.
Jev Agents & MCP#community#catalog-import#logicrw
1GitHub stars
An educational lab for DeepEval plus Jev: replay 17 recorded Jev evaluations of fictional support cases, inspect raw requests and responses, adjust release gates and drift playback, or run fresh evaluations with your own key.
Jev Benchmarks & Evaluations#community#catalog-import#logicrw
1GitHub stars
A Splunk app whose | jev search command asks TypeSafe Jev typed questions about your events and adds calibrated probabilities, choices or scores as fields, cached in the KV store so you pay only for unjudged events.
Jev Integrations & Adapters#community#catalog-import#logicrw
1GitHub stars
A reproducible 100-task benchmark comparing Jev with Qwen3.5 0.8B, 2B and 4B across three thinking budgets: Jev scored 77.0%, the 2B model at 2,048 tokens 82.0%, and the 4B 96.7%.
Jev Benchmarks & Evaluations#community#catalog-import#logicrw
A context engine for OpenClaw that asks Jev which tool calls and results a session still needs, drops the rest and never summarizes: what stays is the original text, while one request scores dozens of calls in about a second.
Jev Integrations & Adapters#community#catalog-import#logicrw
Content safety for AI chatbots in Python, TypeScript and Go: user input, bot replies and conversation checks run over one shared policy file with Jev, returning one decision your code can act on.
Jev Repos & SDKs#community#catalog-import#logicrw
1GitHub stars
A lightweight Python engine that mimics Jev's structured decisions on local LLMs via Ollama, vLLM or llama.cpp: choice, score and noul questions come back as JSON with probabilities and confidence, plus an OpenAI-compatible gateway.
Jev Repos & SDKs#community#catalog-import#logicrw
1GitHub stars
Rule-based code review for AI coding agents, powered by TypeSafe Jev. Three skills — review a PR, review anything, or loop until the engine reports clean — share one local MCP review engine that never reads your repository; the calling agent supplies the diff and the business context.
Jev Agents & MCP#community#catalog-import#logicrw
1GitHub stars
A small advisory plugin for Amp that compares supplied alternatives against supplied evidence using Jev. It returns typed choices and probabilities — not research, explanations or permission to act; the author labels it a V1 pilot, not an Oracle replacement or a correctness gate.
Jev Integrations & Adapters#community#catalog-import#logicrw
1GitHub stars
A GitHub Action that treats .jev.yml as a semantic linter for pull requests: each rule is a typed Jev question (Noul, Choice or Score) and the check fails, comments or passes from those numbers. It writes no reviews, suggests no patches and approves nothing.
Jev Integrations & Adapters#community#catalog-import#logicrw
1GitHub stars
A policy engine for LLM decisions: declare routes, gates and actions once in TypeScript or Python and every decision comes back validated, explainable, replayable and audited. The model answers only declared questions — application code owns the branch.
Jev Repos & SDKs#community#catalog-import#logicrw
1GitHub stars
A local proof of concept where Jev picks which of two conflicting signal phases gets the green light at a real Hong Kong intersection, using near real-time keyless open-data traffic sensors. A phase-timing state machine enforces minimum and maximum green, amber and all-red around the model's answer.
Jev Demos & Experiments#community#catalog-import#logicrw
Real-time hawk-or-dove analysis of Fed press conferences with Jev side by side with chat models. Jev scores every word the Chair says in about 150 ms while the chat model scores each caption line in a few seconds, both judged against the same four stances.
Jev Demos & Experiments#community#catalog-import#madewithjev
A GitHub Action that reviews every pull request with TypeSafe Jev and fails the check when it finds a problem. It asks four yes/no questions about each part of the diff and compares files that look duplicated, catching secrets, vulnerabilities, needless complexity and prompt injection.
Jev Integrations & Adapters#community#catalog-import#yibie
1GitHub stars
Turns an inbox into a short action queue: Jev answers seven typed questions per email thread in one request, plain Python rules decide what enters the queue, and cached answers mean changing a rule never needs new API calls.
Jev Tools & CLIs#community#catalog-import#logicrw
1GitHub stars
A fast typed-decision sidecar and GitHub Copilot CLI pre-turn hook that mimics Jev's choice, noul and score primitives on Azure AI Foundry Cohere with keyless Entra ID auth. By default, non-trivial decisions stay advisory until calibration is fitted on labelled data.
Jev Integrations & Adapters#community#catalog-import#logicrw
Python intent classification for customer support: Jev picks from twelve intents and returns a confidence score plus a per-intent probability distribution, flagging anything below 0.8 confidence as needing clarification while routing stays configurable downstream.
Jev Repos & SDKs#community#catalog-import#logicrw
1GitHub stars
A Jev-powered multi-agent coding factory for OpenAI Codex: one engineering request is routed to a model and effort lane or decomposed into a task DAG, workers run in parallel, verification gates every change, and failures get classified instead of blindly retried.
Jev Agents & MCP#community#catalog-import#logicrw
1GitHub stars
Measured cost, latency, accuracy and raw output from the live Jev API across twelve realistic use cases, plus twelve other decision models on the same 633 items. Reproducible with your own key; the whole measured Jev run cost under one cent.
Jev Benchmarks & Evaluations#community#catalog-import#cobanov
Decision-driven, extractive context compaction for the Pi coding agent: Jev judges complete read-only tool pairs and ordinary code removes the ones it rates unnecessary, keeping retained records in a JSON-lines transcript packet instead of a generated summary.
Jev Agents & MCP#community#catalog-import#logicrw
2GitHub stars
A simulated high-frequency crypto trading loop that makes its buy and sell calls with Jev: recent BTC and ETH prices and volumes go in, a typed confidence-aware decision comes out, and a cost-aware execution simulator turns it into P&L. Not live trading.
Jev Demos & Experiments#community#catalog-import#logicrw
1GitHub stars
A small desktop console and CLI for Jev: paste a state, add noul, choice and score questions by hand, and read calibrated probabilities back without writing code. Standard library only, with a tkinter window whose labels are in Chinese.
Jev Tools & CLIs#community#catalog-import#logicrw
A pi coding-agent extension that compacts long transcripts without rewriting them: Jev answers only keep/kind questions about chunked history, original lines go into a verbatim ledger, and compaction is a deterministic render plus durable topic files. Calls the TypeSafe System One endpoint directly.
Jev Integrations & Adapters#community#catalog-import#logicrw
1GitHub stars
A Claude Code hook that fires when you write code containing an LLM call or a hand-written classifier and injects a three-way test: plain code, a frontier model, or the System One band where Jev lives. It never blocks; the GitHub description cites a measured 149-row Jev vs Claude Haiku 4.5 comparison.
Jev Integrations & Adapters#community#catalog-import#logicrw
1GitHub stars
A community site listing projects built on TypeSafe Jev, deployed at jev-projects.vercel.app from a JavaScript repository whose GitHub description is simply 'list of projects that use typesafe's jev'. No README is published, so the site itself is the main description of what it contains.
Jev Guides & Articles#community#catalog-import#logicrw
A small React web app where Jev, TypeSafe's System One API, estimates a name's age band and gender from naming trends across Korea, the US, Japan and China. A Vite server plugin keeps the API key server-side and the UI draws the returned band probabilities as bars.
Jev Demos & Experiments#community#catalog-import#madewithjev
1GitHub stars
A Python research harness evaluating Jev (TypeSafe System One, jev-1.13.0) as a relevance judge for task-level tool spaces. One API call scores every tool with a yes/no noul question per tool, and the repo benchmarks keep-all versus per-request, per-task and trace-based spaces on TGB and BFCL.
Jev Benchmarks & Evaluations#community#catalog-import#logicrw
1GitHub stars
A modular TypeScript framework for role-playing agents and autonomous game NPCs powered by Jev: principles are authored in natural language, Jev selects eligible actions and communicative intents, and the host applies world effects and composes dialogue. Ships Fog Harbor, a playable 2D AI-town demo.
Jev Repos & SDKs#community#catalog-import#logicrw

Start here with the Jev AI model

Hand-picked entries the maintainers recommend first, from official primitives to community tools.

The Jev Day release post: Jev 1.14.0 under jev-preview plus three danger-zone features — composable images on both models, the box question type on 1.14 only, and opt-in 262k context.
Jev Guides & ArticlesArticle#official#release#vision
Official
The box question type: one bounding box per question, returned as four edges that are fractions of the image, plus confidence, with no criteria field and no not-found value.
Jev Practices & PatternsDocs#official#docs#vision
Official
LiteLLM's Day 0 post for TypeSafe Jev 1.14: the proxy adds box questions, image input and long-context mode on both POST /v1/systemone and POST /v1/decisions, forwarding TypeSafe-Danger-Zone headers only to TypeSafe deployments.
Jev Integrations & AdaptersArticle#community#litellm#gateway
Community

From the Jev community

Watch walkthroughs, read the threads, and see what builders are posting.

YouTube: KodeKloud's three-minute primer: what a System One model decides, and why it answers in milliseconds.

YouTube: Caleb Writes Code explains what Jev is and how to call it, in seven minutes.

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.

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

Hacker News: Show HN: Ad Spend Guard gates budget before the auction, not the creative after.

Show HN: Gating ad budget with a decision modelRead the thread on Hacker News

Reddit: Reranking rebooking options with a decision model, ranked with reasons.

Hacker News: Pick Verify: a single decision at the warehouse pick station catches confusable picks.

Show HN: Verifying robot picks with a decision modelRead the thread on Hacker News

Hacker News: Software Bombe and live Enigma demo where Jev ranks cribs and judges plaintext.

ag_212 pointsShow HN: Jev as the Bletchley Park Analyst: A Software Bombe on EnigmaRead the thread on Hacker News

Hacker News: Show HN for the decide CLI: brew install, file context, and multi-question shell scripts.

vsekhar2 pointsShow HN: Decide – Jev decisions in the shell, scripts, and agent skillsRead the thread on Hacker News

How entries are chosen

Every entry is reviewed against the same bar, whether it comes from TypeSafe or the community.

  • Public and working — no paywalls, sign-up walls, or dead links.
  • Concrete — it has to be about Jev and the System One API, not generic LLM content.
  • Useful today — something a developer can learn from or use right now.
  • Distinct — if a similar entry exists, the description has to say what makes this one different: a different runtime, a cheaper path, a measured result, or a narrower focus.
  • Documented — repos state their license, and docs are in English or carry an English summary.

Spam, affiliate links, and thin AI-generated content are rejected. New entries are expected to ship with a deep dive: two to five highlights, caveats, a quickstart snippet where one helps, and a verification date. Star counts are refreshed when an entry is touched.

Common questions

Short answers about Jev and how this directory works.

What is the Jev AI model?

Jev is TypeSafe AI's first System One model — an AI model that takes a state plus typed questions and returns one structured answer per question: a choice, an ordered score, or the probability of yes, with calibrated confidence on Choice and Score answers. Code can branch on the result without parsing generated text.

What is the difference between Choice, Score, and Noul?

They are the three question primitives. Choice picks one of up to 255 options, Score rates on 2 to 10 ordered levels, and Noul answers yes or no. Choice and Score answers carry a confidence between 0 and 1; a Noul answer is the probability of yes.

Which Jev SDKs and client libraries are available?

TypeSafe maintains official JavaScript/TypeScript and Python SDKs plus a Python adapter. The community has built clients for Go, .NET, PHP, Laravel, Rust, Elixir, Ruby, and Scala, along with framework integrations such as DSPy, LlamaIndex, and Home Assistant. All of them are listed in the Repos & SDKs category.

Is the directory free, and is it affiliated with TypeSafe AI?

The directory is free to browse: every entry is reviewed, and spam, affiliate links, and sign-up walls are rejected. JevDirectory.org is community-run and not affiliated with TypeSafe AI — Jev and System One are TypeSafe AI trademarks.

How often is the directory updated?

Entries are added as new resources appear and re-checked when they are touched. The directory currently holds 3919 entries from 293 source sites, last updated Nov 6, 2026.

What is a verified deep dive?

Most entries include a deep dive: two to five highlight bullets someone would only know from using the resource, a caveats note about limits and requirements, an optional quickstart snippet, and the date the link was last checked. 3919 of the 3919 entries carry one today.

For the canonical details, read the official TypeSafe docs and the API reference.