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

By format

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

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 3724 Jev AI model resources

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

Showing 193–240 of 322 resources

2GitHub stars
JevSpeak explores whether a model that cannot generate text can still talk: about 13 parallel Jev decisions per turn become a typed Semantic IR that a deterministic compiler renders in English or Chinese. Live at jevspeak.org.
Jev Demos & Experiments#community#catalog-import#logicrw
2GitHub stars
A Python tool that asks TypeSafe Jev to fix Japanese readings in VOICEVOX: Sudachi splits sentences, Jev answers reading and phrase-boundary questions, and output comes as corrected WAV files or a VOICEVOX-compatible API server.
Jev Integrations & Adapters#community#catalog-import#logicrw
2GitHub stars
Watch Jev play Freedoom in a local dashboard: structured engine observations go in, typed decisions come out, and the UI shows the game, choices, probabilities, navigation, latency and cost under a $15 default cap.
Jev Demos & Experiments#community#catalog-import#logicrw
2GitHub stars
A single-file Python proxy that asks Jev which of four model tiers each new Codex turn needs — luna, terra, sol or astra — rewrites the model field, and retries flaky upstream errors.
Jev Integrations & Adapters#community#catalog-import#logicrw
2GitHub stars
A local Codex extension that filters repetitive lines from supported tool output with OpenAI Decisions by default or TypeSafe Jev optionally, keeping errors visible and linking every shortened result to the full original.
Jev Integrations & Adapters#community#catalog-import#logicrw
2GitHub stars
A Hermes Agent skill that turns an intention into a written finish line: machine-checkable requirements run as shell commands, fuzzy ones go to Jev for calibrated probabilities, and exit 1 names the weakest unmet requirement.
Jev Agents & MCP#community#catalog-import#logicrw
2GitHub stars
Contract-aware MSW handlers for the official @typesafe-ai/sdk: mock Jev choices, Nouls and scores in tests without API calls, credentials, latency or credits, while the real SDK parsing and retry logic still runs.
Jev Repos & SDKs#community#catalog-import#logicrw
2GitHub stars
pytest-style behavioral contracts for Jev: pin a production contract of baseline model plus fixtures, eval a candidate model against it, and fail the upgrade when answers flip or confidence regresses.
Jev Benchmarks & Evaluations#community#catalog-import#logicrw
2GitHub stars
A Claude Code plugin and zero-dependency Python CLI that judges items in bulk with calibrated Jev answers, resolves the confident ends in code, and sends only the uncertain band to Claude or a human.
Jev Agents & MCP#community#catalog-import#logicrw
A public guide to orchestrating coding agents with TypeSafe Jev and Herdr: Jev routes tasks and scores risk, coordinator code owns policy and thresholds, Herdr runs workspaces, and agents execute bounded tasks.
Jev Guides & Articles#community#catalog-import#logicrw
2GitHub stars
Runs cheap Jev checks beside a Claude coding session: code rule lint against project rules, doc consistency checks, and context retrieval, re-checking only changed code and recording every verdict so it is not paid for twice.
Jev Tools & CLIs#community#catalog-import#logicrw
2GitHub stars
Pure Dart client for the TypeSafe System One API, usable from a CLI, a server or a Flutter app. The request path avoids extra copies and reuses HTTP/2 connections, and no comparative benchmarks are published.
Jev Repos & SDKs#community#catalog-import#logicrw
2GitHub stars
Coaxes free text out of TypeSafe's classification endpoint by decoding one word at a time: every word is a separate choice question over a vocabulary, and the loop feeds its output back as the prefix. The README itself calls the approach a demonstration, not a good idea.
Jev Demos & Experiments#community#catalog-import#logicrw
2GitHub stars
Obsidian desktop plugin that suggests destination folders for the active Markdown note using only folders that already exist in the vault, plus existing tags with match probabilities. It never moves notes automatically: you select a suggestion and confirm.
Jev Tools & CLIs#community#catalog-import#logicrw
2GitHub stars
Codex Agent Skill that hands continuous browser work to Jev: one sentence starts a task, Jev picks the actions and targets, and Codex replies once the run completes. Reuses your own Chrome and reads the DOM instead of screenshots.
Jev Agents & MCP#community#catalog-import#logicrw
2GitHub stars
Chrome extension that detects sponsored segments in Bilibili videos with TypeSafe Jev and skips them only when confidence passes conservative checks. A fork of ZeroTang05/VideoAdGuard, analyzing subtitles or Groq transcripts.
Jev Tools & CLIs#community#catalog-import#logicrw
2GitHub stars
Agent skill that pairs Ego Lite's Chromium control with Jev's semantic judgment: the agent keeps the plan, Ego Lite drives the browser, and Jev resolves choices like which observed link actually matches the intent. Exact work stays in local code.
Jev Agents & MCP#community#catalog-import#logicrw
Streamlit demo that turns live market data into structured investment decisions with TypeSafe Jev: yfinance supplies prices and fundamentals, then a 20-question model scores buy/sell conviction, financial health and risk.
Jev Demos & Experiments#community#catalog-import#logicrw
1GitHub stars
Benchmark harness that scores TypeSafe Jev against any OpenRouter model or local checkpoint on labelled classification data: accuracy, calibration (ECE), confidence distribution, latency and cost across five tasks with 300 items each.
Jev Benchmarks & Evaluations#community#catalog-import#cobanov
1GitHub stars
UserPromptSubmit hook for WorkBuddy (and a pre_llm_call shell hook for Hermes Agent) that has Jev judge every prompt in about a second and inject the verdict as routing hints, aiming to cut main-model tool calls and turnarounds.
Jev Integrations & Adapters#community#catalog-import#logicrw
1GitHub stars
Research prototype that tests where Jev can help a driving policy choose continue, observe, replan or defer: Jev receives structured text, a separate vision model handles camera images, and a local controller owns vehicle execution.
Jev Demos & Experiments#community#catalog-import#logicrw
1GitHub stars
A programming language where judgment is a runtime primitive: programs ask Jev narrow typed questions (noul, choice, score) as they run, and the Hocket engine coalesces judgments so two asks over one state become a single API request.
Jev Tools & CLIs#community#catalog-import#logicrw
1GitHub stars
Runtime supervision middleware for autonomous agents, published as andreuvm/jev-reasoning-navigator: no model-proposed action executes directly, and a deterministic runtime verifies preconditions, evaluates risk and submits actions to calibrated semantic judgment.
Jev Agents & MCP#community#catalog-import#logicrw
1GitHub stars
An AI companion that replies only with facial expressions: Jev judges each message and picks one of 16 moods while blobatar morphs its face, with no text replies and no visible chat history.
Jev Demos & Experiments#community#catalog-import#logicrw
A self-hosted MCP gateway on Cloudflare Workers that wraps the TypeSafe/Jev System One model into nine judgment tools for intent routing, retrieval reranking and batch semantic work, with a D1-backed admin console.
Jev Agents & MCP#community#catalog-import#logicrw
1GitHub stars
An ultra-lean supervisor extension for the pi coding agent: zero-token regex guardrails stop destructive commands, a done-check tracks test verification, and a Jev semantic gate reviews diffs before disk writes.
Jev Tools & CLIs#community#catalog-import#logicrw
A Home Assistant integration that turns AI device decisions into a safety boundary: a bounded case goes to Jev, a deterministic policy check runs, and state verification is recorded separately from the command result.
Jev Integrations & Adapters#community#catalog-import#logicrw
1GitHub stars
Classifies failing test output as RETRY, FIX_CODE or FIX_ENV in one Jev call after offline parsing and deterministic rules, usable as a CLI, a Python library or a Claude Code PostToolUse hook.
Jev Tools & CLIs#community#catalog-import#logicrw
1GitHub stars
A concept prototype that marks NZQA-style assessment scripts from rubric criteria alone: one Jev call per script returns guardrails, criterion scores and an overall grade, and confidence triages the work.
Jev Demos & Experiments#community#catalog-import#logicrw
1GitHub stars
A lightweight, auditable testbench for Jev as a typed decision primitive: every real API call appends to an append-only log, evidence is frozen under SHA-256 hashes, and the headline result is a preregistered negative.
Jev Benchmarks & Evaluations#community#catalog-import#logicrw
1GitHub stars
A Claude Code mod that adds $.jev to the engine interface, letting plugin hooks ask Jev for Choice, Score and Noul answers over one state via TypeSafe, OpenRouter, Vercel, Cloudflare, LiteLLM or a custom endpoint.
Jev Integrations & Adapters#community#catalog-import#logicrw
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 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
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
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

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.