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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

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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 3919 Jev AI model resources

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Showing 1297–1344 of 3919 resources

1GitHub stars
An MCP relay that adds use_jev to every configured server: Jev picks the tool calls toward a goal, the calling model writes any text values, and the relay executes the steps and returns a trace.
Jev Agents & MCP#community#catalog-import#logicrw
A pre-registered benchmark pitting a 2B laptop model (Gemma 4 E2B) against 500 SimpleQA questions while TypeSafe Jev makes every call — whether to search, which pages count, whether each sentence is backed. Jev's passage confidence scored AUROC 0.899, but the judged pipeline still lost its pre-registered bar.
Jev Benchmarks & Evaluations#community#catalog-import#logicrw
1GitHub stars
A judgment layer for agents that starts with Claude Code: a PreToolUse hook asks a YAML policy you own a handful of plain-English questions about every proposed tool call, and Jev returns calibrated probabilities so thresholds — not a frontier LLM — decide allow, deny or silence, for about four cents a day.
Jev Agents & MCP#community#catalog-import#madewithjev
1GitHub stars
A quality gate for Claude Code built on TypeSafe Jev 1.13: a PreToolUse hook intercepts Write, Edit and MultiEdit before they touch disk, has Jev judge the draft, and blocks anything under the 80% quality threshold with exit code 2 and diagnostic feedback for the agent.
Jev Agents & MCP#community#catalog-import#logicrw
1GitHub stars
A one-page playground and test bench for TypeSafe Jev: pick a backend, load an example and run typed questions against Jev through OpenRouter or TypeSafe, an LLM baseline, or a keyless mock — all speaking the same /v1/systemone contract, with an inspector for the answer distributions.
Jev Demos & Experiments#community#catalog-import#logicrw
1GitHub stars
A general-purpose customer-service platform rebuilt from OpenAI's ChatKit sample: one Jev call returns intent, emotion, confidence, a recommended function and the right configured agent; a chat model drives MCP tools and built-in RAG answers from a knowledge base. Changing industry means editing YAML, not code.
Jev Tools & CLIs#community#catalog-import#logicrw
The production code behind fake-real.live, published so its Jev integration can be read and run: Firecrawl fetches a page, Gemini extracts up to five atomic claims, Tavily searches, and Jev decides which sources to read and whether each claim is supported, contradicted or unknown.
Jev Repos & SDKs#community#catalog-import#logicrw
1GitHub stars
A Chrome extension (MV3) that scores every post entering your X timeline with a single Jev call — worth engaging plus selectable tags like spam, buzz, misread and AI-ish, shown as calibrated probabilities in the avatar column, with the goal you pick steering the worth-engaging question.
Jev Tools & CLIs#community#catalog-import#logicrw
1GitHub stars
A CLI, Rust library and Python package that asks Jev typed Noul, Choice and Score questions through OpenRouter, then turns the probabilities into decisions with fuzzy rules — AND, OR, NOT and hedges into a support score per decision, or a crisp amount — and can draw the rule base as SVG.
Jev Repos & SDKs#community#catalog-import#logicrw
1GitHub stars
A zero-dependency Ruby client for Jev: ask typed Noul, Choice and Score questions about your application state and get frozen, typed answers with probabilities, confidence and token usage. Pure Net::HTTP and JSON, so it fits plain Ruby and Rails alike.
Jev Repos & SDKs#community#catalog-import#logicrw
1GitHub stars
Ctrl+F for questions: an open-source Chrome extension that splits a page into passages, has Jev score them against your question in parallel — 8 passages per request — and jumps to the ones that answer it. Measured at 0.4 to 0.9 seconds and $0.0005 to $0.007 per search.
Jev Tools & CLIs#community#catalog-import#madewithjev
Fighters in this arena are paragraphs of plain English, and Jev pilots them in real time — typed move, action and reflex decisions with live probabilities. Join the ladder with a pull request and swap the brain: Jev, Laya, kev or any LLM.
Jev Demos & Experiments#community#catalog-import#logicrw
1GitHub stars
Maykana's free tool that lets a cheap AI test a web app like a person: write checks in plain sentences, Jev picks the next step from a short list, and below 80% confidence it stops and hands over to a human instead of clicking. A DeepSeek vision pass reports visual defects.
Jev Tools & CLIs#community#catalog-import#logicrw
Jev plays Minesweeper against the full wiring of an adult fruit fly brain: both see only revealed clues on the same seeded 9×9 boards, Jev judging every covered square safe or mined. Over 16 held-out boards the fly averaged 59.8 safe squares and Jev 59.1, against 52.6 for random clicks.
Jev Demos & Experiments#community#catalog-import#madewithjev
1GitHub stars
A native macOS utility that decides which listening ports are safe to stop: one Jev question per process turns a locally collected dossier into a typed verdict — stop, keep or your decision — with the evidence and the most material missing fact. Only you can confirm a stop.
Jev Tools & CLIs#community#catalog-import#madewithjev
1GitHub stars
A Node 24 GitHub Action that classifies issues and pull requests with a typed Decisions API and adds only the labels the available evidence supports. It can call Jev through TypeSafe, OpenRouter (the default) or OpenAI's gpt-6-luna, and never removes, replaces or creates labels.
Jev Integrations & Adapters#community#catalog-import#madewithjev
1GitHub stars
Generative painting instrument where Jev picks paint materials and colour palettes for 105 procedural sketches: you select part of a sketch, and the chosen material flies in and paints itself. FastAPI + React + TypeScript.
Jev Demos & Experiments#community#catalog-import#logicrw
1GitHub stars
MCP server and skill that let an agent drive an Android phone over adb: you give a goal like open the Play Store, it reads the phone's screen, asks Jev what to do next, acts, checks the result and reports whether it worked.
Jev Agents & MCP#community#catalog-import#logicrw
1GitHub stars
Chrome side-panel extension where Jev drives the tab you are looking at: type a goal and it reads the page as a numbered list of links, buttons and fields, asks TypeSafe which one to use next, and performs it. A TypeSafe API key is required.
Jev Tools & CLIs#community#catalog-import#logicrw
1GitHub stars
Experimental C# lab for TypeSafe/Jev semantic gates. The Semantic Operations Lab maps Noul probabilities to NO / REVIEW / YES through configurable thresholds, and the Decision Pipeline combines a Choice, a Score and a Noul in one request.
Jev Demos & Experiments#community#catalog-import#logicrw
2GitHub stars
Zero-dependency JavaScript library for semantic pattern matching and zero-shot judgment: the in-tree engine behaves like Jev in local CPU cache under 0.05 ms and speculatively escalates ambiguous inputs to cloud Jev when cascade is enabled.
Jev Repos & SDKs#community#catalog-import#logicrw
1GitHub stars
Interactive web application that applies Jev's System One paradigm to the live corpus of ECMAScript/TC39 proposals, enriching each one with typed semantic dimensions such as adoption path, cognitive overhead, web-compat risk and architectural signals.
Jev Demos & Experiments#community#catalog-import#logicrw
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
1GitHub stars
A Claude Code and Codex skill with a CLI that answers narrow agent judgments - is this file relevant, which team owns this request, how severe is this - with Jev's calibrated probabilities instead of another LLM call. Zero dependencies, MIT.
Jev Agents & MCP#community#catalog-import#madewithjev
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
Experimental deterministic model routing for coding agents with Jev in the loop: assign capabilities to models and copy one workflow prompt into Codex Desktop. The author's own Pokédex pilots did not show a cost win and he recommends against adopting it.
Jev Tools & CLIs#community#catalog-import#madewithjev
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
Obsidian plugin that searches a vault locally and offline with BM25 and no API key, then reranks the top candidates with Jev only after you approve exactly what gets sent. The README reports nDCG@10 rising from 0.53 to 0.88 on 120 queries.
Jev Tools & CLIs#community#catalog-import#madewithjev
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 browser extension that classifies web text with Jev: hover, pin, drag or double-click to judge blocks or whole articles as slop, or define your own questions. No build step; the key stays in storage.local and only api.typesafe.ai is reachable.
Jev Tools & CLIs#community#catalog-import#madewithjev
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

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.