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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
3,724
Categories
11
Official
102
Community
3,622
Source sites
292
Deep dives
3,724

By format

3724
  • Docs169
  • Repos & sites2965
  • Videos73
  • Posts103
  • Articles344
  • Playgrounds70

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Browse the Jev AI model by category

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

All 3724 Jev AI model resources

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Showing 241–288 of 322 resources

1GitHub stars
Zero-dependency reverse-proxy traffic classifier and bot mitigator shipped as Node.js and Python packages. The in-tree engine decides in tens of microseconds, and setting TYPESAFE_API_KEY elevates the gate to jev-latest for five parallel typed questions.
Jev Repos & SDKs#community#catalog-import#logicrw
Async, typed intent and tool routing library for Python agents: register your own callables with @router.intent and @router.tool, let Jev decide which capability handles an input, and let a confidence gate stop weak or invented decisions.
Jev Repos & SDKs#community#catalog-import#logicrw
1GitHub stars
Deliberately absurd npm utility that uses TypeSafe's Jev model through the Vercel AI SDK to decide probabilistically whether a number is not odd (or not even). It needs a Vercel AI Gateway key in AI_GATEWAY_API_KEY.
Jev Repos & SDKs#community#catalog-import#logicrw
Open-source tool that automatically optimizes the instructions and decision criteria of TypeSafe Jev Choice definitions from labeled data, searching with EvoPrompt or GEPA and scoring candidates with a normalized Brier score.
Jev Tools & CLIs#community#catalog-import#logicrw
1GitHub stars
A minimal real-time Clash Royale-style game engine in Node.js that pits a Jev System One bot against a traditional Ollama LLM bot, with an MCP server and a canvas web client. The Jev bot answers four tactical questions in one parallel call.
Jev Demos & Experiments#community#catalog-import#logicrw
1GitHub stars
A workshop of small, inspectable Python experiments for TypeSafe System One models: ten critical bays, from fraud screening to emergency dispatch, each giving Jev a realistic state while deterministic policy keeps authority over the next action.
Jev Demos & Experiments#community#catalog-import#logicrw
1GitHub stars
An MCP tool that answers what a coding agent should read: Jev scores a shortlist of files for a question like where session expiry is enforced, and the agent reads those ranges instead of grepping the tree. You still plan and patch; jevex is read-only.
Jev Agents & MCP#community#catalog-import#logicrw
1GitHub stars
An agent skill that measures your prompt with Jev before your coding agent starts work, refines the weak spots while preserving intent and scope, and rechecks until the prompt reaches a quality target — 80/100 by default, or three attempts.
Jev Agents & MCP#community#catalog-import#logicrw
1GitHub stars
A measurement lab for typed classifiers inside a coding-agent fleet — which file to read, injection checks, risky commands, memory recall. Jev competes with regex rules, TF-IDF and other models under a committed budget, and only value-positive findings stay.
Jev Benchmarks & Evaluations#community#catalog-import#logicrw
Jev-scored context recovery for the Cursor CLI agent: hooks capture tool call and result I/O, two noul questions per call decide what to keep, and kept facts are re-injected verbatim after native compaction finishes.
Jev Integrations & Adapters#community#catalog-import#logicrw
1GitHub stars
A ChatGPT-style chat UI for Jev where answers are decisions, not prose. Pick Yes/No or styles like Yes/No/Maybe, Pirate or Tabloid, and expand any reply to see Jev's calibrated probability for every option. Runs on Deno.
Jev Demos & Experiments#community#catalog-import#logicrw
1GitHub stars
An information-geometric analysis toolkit for Jev and Jev-like System One agents: it captures decision probabilities and reports local sensitivity, Fisher information and the information a final decision retains — offline, without orchestrating agents.
Jev Tools & CLIs#community#catalog-import#logicrw
1GitHub stars
An experimental self-hosted trading bot for Kraken, Alpaca paper and OKX U.S. spot with Jev-assisted strategies beside deterministic programs. Code enforces sizing and execution limits; the README stresses Jev does not control those safeguards.
Jev Tools & CLIs#community#catalog-import#logicrw
1GitHub stars
A browser and macOS desktop agent for pi: Jev picks each action from structured observations of visible text and addressable controls — never screenshots — inside a bounded loop that stops when stuck or hands control back to a human.
Jev Agents & MCP#community#catalog-import#logicrw
1GitHub stars
Local, inspectable image perception for the text-only Jev: OCR text in reading order plus the same words on a character grid become the state Jev decides over, returned as a plain dict. CLI, MCP server and agent skill.
Jev Tools & CLIs#community#catalog-import#logicrw
1GitHub stars
A standard-library-only judgement primitive and harness for Jev: ask N items × K typed questions in bounded, fail-open requests, and consume answers through a closed boundary in code that refuses anything outside the set you enumerate.
Jev Tools & CLIs#community#catalog-import#logicrw
A table-tennis game where every paddle movement on the right is a live Jev decision: the relay renders the state as prose, asks one multiple-choice question, and the option label IS the pixel value. No local prediction, no fallback.
Jev Demos & Experiments#community#catalog-import#logicrw
1GitHub stars
An independent research lab and ecosystem map for Jev: reproducible benchmarks of the Noul, Choice and Score primitives with raw artifacts and scripts, plus a curated 28-case audit of SDKs, integrations and real-world usage.
Jev Benchmarks & Evaluations#community#catalog-import#logicrw
1GitHub stars
A Swift-native SDK for the TypeSafe System One API, ported from the JS and Python SDKs: Swift Package Manager, Swift 6 concurrency and URLSession, with Choice, Noul and Score questions and strict response validation.
Jev Repos & SDKs#community#catalog-import#logicrw
An agent skill for Claude Code, Codex and other coding agents, with a standard-library Python CLI, 5 tested question sets and findings from 19,367 Jev calls and 90.4M metered input tokens over 4 days.
Jev Agents & MCP#community#catalog-import#logicrw
1GitHub stars
Self-hosted Jev tools for coding agents: one stdlib HTTP server holds the TypeSafe key while CLIs (ask-jev, jev-review), agent skills and a Pi tool ask Jev typed questions about code instead of reading it into agent context.
Jev Tools & CLIs#community#catalog-import#logicrw
1GitHub stars
A small Rust CLI that asks TypeSafe's Jev how your Singapore TOTO numbers look against recent draws, scoring every number 1 to 49 with a next-draw probability and a five-level hot/cold label with confidence.
Jev Tools & CLIs#community#catalog-import#logicrw
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
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
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

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 3724 entries from 292 source sites, last updated Oct 24, 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. 3724 of the 3724 entries carry one today.

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