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.
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- 3,919
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- 11
- Official
- 102
- Community
- 3,817
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- 293
- Deep dives
- 3,919
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3919- Docs169
- Repos & sites3102
- Videos74
- Posts104
- Articles392
- Playgrounds78
Updated
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11 ways into the ecosystem. Each category page leads with its own shortlist of starting points.
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The same directory, sliced by what you are building and who you are building it for.
All 3919 Jev AI model resources
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Showing 961–1008 of 3919 resources
Netlify's AI Gateway serves TypeSafe's Jev with zero configuration: install @typesafe-ai/sdk, keep no API keys, and let usage bill to Netlify credits, with the SDK defaulting to the jev-latest alias (jev-1.13.0).
Jev Integrations & AdaptersArticle#community#netlify#serverless
Community
Concentrate's beta /v1/decisions endpoint serves TypeSafe's Jev with the same request and response shapes as TypeSafe's System One API and OpenRouter, returning calibrated probabilities for noul, choice, and score questions.
Jev Integrations & AdaptersDocs#community#gateway#api
Community
MLflow's AI Gateway lists TypeSafe Jev among its evaluation providers: a typesafe passthrough at /gateway/typesafe/v1/systemone forwards raw System One requests using the server-side TypeSafe key, separate from MLflow judges.
Jev Integrations & AdaptersDocs#community#mlflow#gateway
Community
Fly.io's TypeSafeAI connector gives Sprites access to Jev without the API key entering the machine: the Sprites gateway attaches the organization's encrypted key, and each Sprite sets only TYPESAFE_BASE_URL plus a placeholder key.
Jev Integrations & AdaptersArticle#community#fly-io#agents
Community
OpenCode's Zen gateway serves Jev 1.13 on its own /v1/systemone endpoint with an OpenCode key: jev-1.13 paid and jev-1.13-free for a limited time, documented with noul, choice, and score examples.
Jev Integrations & AdaptersDocs#community#opencode#gateway
Community
Zapier's TypeSafe Jev app publishes one write action, ask_questions, which asks yes/no, pick-one, and scale questions about text and returns each answer with a confidence, usable from the Zap editor, the Zapier SDK, CLI, or MCP.
Jev Integrations & AdaptersDocs#community#zapier#automation
Community
A Microsoft community walkthrough that wires Jev into a Microsoft Foundry agent as an OpenAPI tool, then uses it as a judgment layer that evaluates a generative model's answers against explicit criteria with confidence scores.
Jev Integrations & AdaptersArticle#community#microsoft#foundry
Community
A Microsoft developer post compares two lunch-ordering agents, one gated by six Choice questions to Jev and one plain GPT-6-astra, to argue that typed decisions belong in front of a language model while the agent loop stays in code.
Jev Integrations & AdaptersArticle#community#microsoft#agents
Community
Pydantic's AI Gateway forwards Jev natively as a bring-your-own-key TypeSafe provider, so one gateway key covers spend views, limits, and input guardrails while TypeSafeModel turns each output field into a question.
Jev Integrations & AdaptersArticle#community#pydantic#gateway
Community
Opper's model page for Jev 1.13: one route through the Opper gateway at $0.04 per million input tokens, text-only input with a 64K window, RLCD-trained calibrated probabilities, and a Pac-Man benchmark run across 100 games.
Jev Integrations & Adapters#community#gateway#benchmarks
Community
B.AI's docs page for JEV-1.13.0: a B.AI-hosted route to TypeSafe's System One model at $0.042 per million input tokens, with Choice, Score, and Noul questions and a 64K-token request budget.
Jev Integrations & AdaptersDocs#community#gateway#docs
Community
A decision-model marketplace and playground: one POST /v1/systemone endpoint in front of two dozen models including Jev 1.13 and 1.14, with structured answers, probabilities, and a 100-credit starting balance.
Jev Integrations & Adapters#community#marketplace#gateway
Community
An unofficial, agent-maintained knowledge base about TypeSafe's Jev, served as plain Markdown so a coding agent can fetch it to judge whether Jev fits a project, then build against the HTTP contract, SDKs, and cookbooks.
Jev Guides & ArticlesDocs#community#wiki#agents
Community
Jev Wiki's procedure for an agent asked whether Jev fits a project: list the decisions, drop the ones failing the fit test, match survivors to patterns, and return a ranked shortlist with cost, fit, and caveats.
Jev Guides & ArticlesDocs#community#wiki#consult
Community
Jev Wiki's Steps 0-7 playbook for a coding agent told to build with Jev: decide whether Jev fits, decompose the job into atomic questions, shape state, call POST /v1/systemone, and branch on confidence.
Jev Guides & ArticlesDocs#community#wiki#agents
Community
A desk recording news, benchmarks, and listed API prices for TypeSafe's Jev and other decision models, with each figure linked to the page that printed it. Updated October 15, 2026, and not affiliated with TypeSafe.
Jev Guides & ArticlesDocs#community#news#benchmarks
Community
A gated member guide by Nate B. Jones on finding Jev-shaped problems in a software project; the page captured here is Unlock AI's subscriber gate, which signs readers in with a paid newsletter email.
Jev Guides & ArticlesDocs#community#guide#audit
Community
OpenAI's API documentation page for Decisions, a hosted endpoint that returns bounded answers rather than generated text; the captured page is its header, pointing to the docs index at llms.txt.
Jev Guides & ArticlesDocs#community#openai#docs
Community
DeepEval's custom evaluation metric that has Jev answer bounded questions about a test case, then maps its calibrated probabilities into a deterministic weighted score, with no generated verdicts or JSON recovery.
Jev Benchmarks & EvaluationsArticle#community#evals#deepeval
Community
Subquadratic's public-preview decision model for agent workflows, served on a System One-shaped POST /v1/systemone endpoint at $0.05 per million input tokens; the blog prints 61.7 on Decision Index 0.2.1 against a Jev cell of 57.9.
Jev Models & ReimplementationsArticle#community#decision-models#api
Community
Ollaya's site for its local decision-model runtime: one binary pulls open checkpoints and serves them on TypeSafe-compatible endpoints, now at Ollaya 0.8.0 with an app and command line for macOS, Windows, Linux, and Docker.
Jev Tools & CLIs#community#local#runtime
Community
Mohit Garg's Apache-2.0 vision-language decision model on Qwen/Qwen3.5-4B, the recommended default of the imajev family: it reads photos against records and text, returning calibrated probabilities and a trained can't tell.
Jev Models & Reimplementations#community#open-models#vision-language
Community
OlaVerse's Apache-2.0 System One decision model from a stripped Qwen3.5-9B-Base: it returns calibrated choice, noul and score distributions for English and eight African languages in one pass, up to 65,536 tokens.
Jev Models & Reimplementations#community#open-models#multilingual
Community
Musubi's Apache-2.0 1.7B moderation classifier: it scores a message against your own policy rules in explicit mode or NVIDIA Aegis 2.0's 23 categories in aegis mode, in one pass and 19 languages.
Jev Models & Reimplementations#community#moderation#safety
Community
Bespoke Labs' CC BY-NC 4.0 LoRA adapter for Qwen/Qwen3.5-9B: given a context and typed questions, a choice among options or yes/no, it returns a probability for each option, scoring 56.88 on Decision Index 0.2.1.
Jev Models & Reimplementations#community#open-models#decision-model
Community
nandakishorm's Apache-2.0 Vega decision models: a 0.8B default and a 4B under 4b/, both wrapping a frozen Qwen3.5 backbone with a small trained engine for choice, boolean and score questions over a 73,728-token context.
Jev Models & Reimplementations#community#open-models#calibration
Community
0xRinne's MIT-licensed field report on using TypeSafe Jev 1.14's Box type and image input to spot AI-image hallucinations, across seven pipeline versions v1-v7b, with a live Vercel demo and raw score JSON.
Jev Tools & CLIs#community#research#hallucination-detection
Community
RINNECODER/jev-box-studyJavaScript
RINNECODER/jev-box-studyJavaScriptmrz1836's MIT-licensed typed Go decision layer for the TypeSafe Jev and Cloudflare Workers AI Clef System One APIs: choice, noul and score questions over text or JSON, with zero third-party runtime dependencies.
Jev Repos & SDKs#community#go#sdk
Community
mrz1836/go-discernGo
mrz1836/go-discernGojon-devlapaz's MIT-licensed Pi coding-agent extension that filters text and JSON through Jev with explicit per-session consent, bounded requests, owner-only recovery files, and unjudged material preserved.
Jev Agents & MCP#community#pi#extension
Community
jon-devlapaz/pi-skimmerTypeScript
jon-devlapaz/pi-skimmerTypeScriptJevOps is a control plane that has TypeSafe's Jev judge each proposed AI-agent action, then applies deterministic Python policy rules to return ALLOW, RETRY, HUMAN_REVIEW or BLOCK, with a FastAPI API, Celery worker and Next.js console.
Jev Tools & CLIs#community#control-plane#ai-agents
Community
Trevorton27/jev-opsPython
Trevorton27/jev-opsPythonjmurray10's MIT-licensed FastAPI service and library that classify business descriptions into one of 1,012 NAICS 2022 industries or hold them for a person, with Postgres search and code-owned gates doing the work and Jev only picking from a closed list.
Jev Tools & CLIs#community#naics#classification
Community
jmurray10/jev_naicsPython
jmurray10/jev_naicsPythonLangChain is the agent engineering platform: an MIT-licensed Python framework from the LangChain team for building agents and LLM applications by chaining interoperable components with third-party model, tool, and vector-store integrations.
Jev Repos & SDKs#community#catalog-import#cobanov
Community
langchain-ai/langchainPython
langchain-ai/langchainPythonComposio is an MIT-licensed SDK monorepo giving AI agents 1,000+ pre-authenticated toolkits with per-user sessions, authentication, triggers, and a sandbox, and it ships TypeScript and Python adapters including one for TypeSafe (Jev).
Jev Repos & SDKs#community#catalog-import#cobanov
Community
composiohq/composioTypeScript
composiohq/composioTypeScriptThe AI Toolkit for TypeScript: Vercel's free, open-source AI SDK for building AI-powered applications and agents, with GitHub topics covering OpenAI, Anthropic, Gemini, React, Svelte, Vue, and Next.js.
Jev Repos & SDKs#community#catalog-import#logicrw
Community
vercel/aiTypeScript
vercel/aiTypeScriptLangChain.js is the TypeScript edition of LangChain, a framework for LLM-powered applications that runs on Node.js, Cloudflare Workers, Vercel and Next.js, Supabase Edge Functions, browsers, Deno, and Bun.
Jev Repos & SDKs#community#catalog-import#cobanov
Communitylangchain-ai/langchainjsTypeScript
langchain-ai/langchainjsTypeScriptEffect is a TypeScript library for production-grade applications, covering typed errors, dependency injection, structured concurrency, scheduling, tracing, and schema validation; 4.x is a long-term support release.
Jev Repos & SDKs#community#catalog-import#cobanov
Community
effect-ts/effectTypeScript
effect-ts/effectTypeScriptOpenChamber is an MIT-licensed workspace built on the OpenCode agent for running and reviewing AI coding work on desktop, web, VS Code, and mobile, with session goals, multi-run comparisons, and private remote access.
Jev Tools & CLIs#community#catalog-import#logicrw
Community
openchamber/openchamberTypeScript
openchamber/openchamberTypeScriptBAML is Boundary's Apache-2.0 programming language for agents: TypeScript-looking syntax, a Rust-like type system that persists at runtime, typed errors, green threads, and callable from TypeScript, Python, Go, C#, and Java.
Jev Repos & SDKs#community#catalog-import#cobanov
Community
boundaryml/bamlRust
boundaryml/bamlRustfirstmate is an MIT-licensed agent distro that turns one coding agent into a first mate supervising a crew of autonomous agents in git worktrees, handing back finished PRs, approved merges, or investigation reports.
Jev Agents & MCP#community#catalog-import#logicrw
Community
kunchenguid/firstmateShell
kunchenguid/firstmateShellLatitude is an open-source observability platform for AI agents: one line of telemetry captures traces, failing traces group into tracked signals, and fixes are dispatched to coding agents and replayed against real traces.
Jev Tools & CLIs#community#catalog-import#logicrw
Community
latitude-dev/latitude-llmTypeScript
latitude-dev/latitude-llmTypeScriptVellum Assistant is an MIT-licensed personal AI assistant with eight memory types, hourly proactivity, and permission-gated computer use, reachable from macOS, Windows, iOS, web, voice, email, Telegram, Slack, and Twilio.
Jev Tools & CLIs#community#catalog-import#logicrw
Community
vellum-ai/vellum-assistantTypeScript
vellum-ai/vellum-assistantTypeScriptNautilus Compass is a local-first memory and reliability layer for AI agents: SOTA retrieval on LongMemEval-S, drift detection before agents act, cross-agent contracts, plus MCP, caliber-bench, and NACRE judging artifacts.
Jev Agents & MCP#community#catalog-import#cobanov
Community
chunxiaoxx/nautilus-compassPython
chunxiaoxx/nautilus-compassPythonKody is an MCP-first cloud for agents, built on Cloudflare Workers, that keeps memory, keys, code, and automations portable across MCP hosts with a compact search-and-execute tool surface instead of a large static catalog.
Jev Agents & MCP#community#catalog-import#logicrw
Community
kentcdodds/kodyTypeScript
kentcdodds/kodyTypeScriptAgent! is a native Swift macOS agent that drives any app through the Accessibility API, codes and builds in Xcode, runs shell commands, and wires in 23 LLM providers plus on-device Apple Intelligence and a Jev guard.
Jev Tools & CLIs#community#catalog-import#logicrw
Community
agentiloop/agentSwift
agentiloop/agentSwiftReqLLM is an Apache-2.0 Elixir library built on Req and Finch that standardizes LLM requests and responses across providers, exposing 1,205 models across 21 integrations behind one unified API.
Jev Repos & SDKs#community#catalog-import#logicrw
Community
agentjido/req_llmElixir
agentjido/req_llmElixirRemote control for coding agents: give Claude Code, Codex, Cursor, OpenCode, Pi and others a task from your phone, and get a notification when the result is ready while your laptop stays closed. Self-hosting is a free MIT install; the hosted version has a free plan and paid plans from $19/mo.
Jev Tools & CLIs#community#catalog-import#logicrw
Community
bennykok/omg.devTypeScript
bennykok/omg.devTypeScriptAn intent compiler for AI agents: it probes what files and tickets already answer, asks only what they can't, and emits a typed IntentSpec YAML saved to .intent/<intent>.intent.yaml before work is routed. The README positions it as the input layer for routers and typed-decision models like Jev and Laya.
Jev Agents & MCP#community#catalog-import#madewithjev
Community
angel291592/intent-routerPython
angel291592/intent-routerPythonA free, MIT-licensed AI coding agent that reads code, edits files, runs commands and reasons through bugs across a terminal REPL, a full-screen TUI and a browser UI, with visible permission boundaries and durable project memory.
Jev Tools & CLIs#community#catalog-import#logicrw
Community
wrongstack/wrongstackTypeScript
wrongstack/wrongstackTypeScriptStart 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
Newest Jev AI model resources
The latest additions to the directory, newest first.
Do Multimodal Models Decide Consistently on Equivalent Optical Spectra?Jev Benchmarks & Evaluations
@harlan-zw/jevJev Repos & SDKs
Jev-AD: Safe Language-Guided Autonomous Driving via a Language World ModelJev Demos & Experiments
Jev GUI Training PreviewJev Models & Reimplementations
- jev-playgroundJev Demos & Experiments
- JeviewJev Tools & CLIs
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 NewsReddit: 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 NewsHacker News: Decision Index 0.2.1 scores open reproductions of Jev on a frozen suite.
jackbravo4 pointsDecision Index 0.2.1 – 70 open reproductions of TypeSafe Jev's Decision ModelRead the thread on Hacker NewsHacker 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 NewsHacker 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 NewsHow 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.