# Jev Library > An independent community directory of 719 open-source projects and 92 resources built on Jev, TypeSafe AI's System One model for typed, probabilistic decisions. Catalogue snapshot: 2026-09-21. Jev takes program state plus a typed question and returns a typed decision — a Choice, a Score, or a Noul value — each with a probability distribution and a confidence. This directory catalogues what people have built with it: SDKs, agent tooling, browser and computer-use agents, applications, games, benchmarks, and writing. This directory is independent and not affiliated with TypeSafe AI. Every entry links to its own public source; star counts and metrics reflect the snapshot date above and are not an endorsement. ## Start here - [Jev Library home](https://jevlibrary.dev/): the full searchable directory. - [Learn Jev](https://jevlibrary.dev/learn): how the three primitives work, plus 12 copy-ready starter projects. - [Resources](https://jevlibrary.dev/resources): official documentation, articles, and community lists. - [About and methodology](https://jevlibrary.dev/about): where entries come from and how they are reviewed. - [Full catalogue](https://jevlibrary.dev/llms-full.txt): every entry, one line each. - [New entries feed](https://jevlibrary.dev/feed.xml) ## Editor's picks - [Jev Ultrafast](https://jevlibrary.dev/projects/browser-use-jev-ultrafast): A browser agent that turns a single goal into a sequence of lightning-fast actions. - [Jev Trader](https://jevlibrary.dev/projects/jarrodwatts-jev-trader): One trading decision every Monad block. An experiment in real-time market intelligence. - [Jev plays Mario](https://jevlibrary.dev/projects/fhshaik-typesafe-mario): Less talking. More jumping. Watch Jev navigate Super Mario Bros. from game state. - [A home that understands](https://jevlibrary.dev/projects/abovecolin-ha-jev): Turn the state of your home into typed decisions, sensors, and smarter automations. - [Mobile Jev](https://jevlibrary.dev/projects/droidrun-mobile-jev): An Android agent powered by Jev decisions, with a live studio to watch every step. - [TypeSafe MCP](https://jevlibrary.dev/projects/itsmostafa-typesafe-mcp): Bring typed Jev judgments to your coding assistant through a single MCP server. ## Learn Jev — starter projects - [Signal checker](https://jevlibrary.dev/learn/signal-checker): Paste a message and see how strongly it expresses one idea. The smallest useful Jev project. Teaches Noul, State design, API setup; about 15–20 min. - [Inbox triage](https://jevlibrary.dev/learn/inbox-triage): Turn a customer message into a team, an urgency level, and an escalation signal in one call. Teaches Choice, Score, Noul, Parallel questions; about 30–45 min. - [Confidence router](https://jevlibrary.dev/learn/decision-router): Use confidence to decide when software can proceed and when a person should take over. Teaches Confidence gates, Fallbacks, Observable decisions; about 45–60 min. - [Feedback prism](https://jevlibrary.dev/learn/feedback-prism): Turn a pile of product feedback into themes, severity, sentiment, and concrete-request signals. Teaches Batching, Multi-axis analysis, Review queues; about 45–60 min. - [Content preflight](https://jevlibrary.dev/learn/content-preflight): Check a draft’s hook, clarity, specificity, and call to action before it goes live. Teaches Composite scoring, Rubrics, Actionable UI; about 45–60 min. - [Log first responder](https://jevlibrary.dev/learn/log-first-responder): Score noisy log events before sending only the useful ones to expensive analysis or a human. Teaches Triage pipeline, Cost control, Safe logging; about 60–90 min. - [Skill caddy](https://jevlibrary.dev/learn/skill-caddy): Pick the one capability a coding agent needs now instead of loading every tool into context. Teaches Dynamic choices, Tool routing, Abstention; about 60–90 min. - [Browser next-step lab](https://jevlibrary.dev/learn/browser-next-step): Let Jev choose among indexed page actions while a deterministic harness owns the browser. Teaches Action spaces, Observe/decide/act, Loop limits; about 90 min. - [Command warden](https://jevlibrary.dev/learn/command-warden): Add a fail-closed judgment layer before an agent runs a shell command—without pretending it is a sandbox. Teaches Guardrails, Fail closed, Policy layering; about 60–90 min. - [Snake instinct](https://jevlibrary.dev/learn/snake-instinct): Build a tiny game where code owns physics and Jev chooses one legal move per tick. Teaches Structured state, Legal actions, Replayability; about 60–90 min. - [Home anticipator](https://jevlibrary.dev/learn/home-anticipator): Simulate a smart home that evaluates many possible needs at once, but changes nothing without approval. Teaches Fan-out, Contextual relevance, Human approval; about 60–90 min. - [Calibration arcade](https://jevlibrary.dev/learn/calibration-arcade): Create a tiny labeled benchmark and learn whether confidence matches correctness—not just accuracy. Teaches Evals, Calibration, Selective risk; about 90–120 min. ## Recently added - [NanoJev](https://jevlibrary.dev/projects/tianyucodings-nanojev): A nano replica of Jev: parallel decisions, dynamic candidates, and an end-to-end training pipeline. - [jev-lint](https://jevlibrary.dev/projects/mizchi-jev-lint): lint text in code by jev scorerer - [OpenDecision](https://jevlibrary.dev/projects/deepanwadhwa-opendecision): OpenDecision is an open-source semantic decision engine like typesafe's jev. - [awesome-jev-use-cases](https://jevlibrary.dev/resources/walidboulanouar-awesome-jev-use-cases): Awesome list of TypeSafe AI Jev use cases: 74 demos ranked by likes, 150+ GitHub repos, limits, cost and API examples. CC0, sponsored by AY Automate. - [jev-dataops](https://jevlibrary.dev/projects/renagao-jev-dataops): An open-source JEV-powered workbench for streaming data selection, quality evaluation, automatic LoRA training and held-out model evaluation. - [awesome-jev (BeatAPI)](https://jevlibrary.dev/resources/beatapi-awesome-jev): We only curate source-reviewed JEV-related projects with 100+ GitHub stars — integrations, tools, open models, and experiments. Live gallery: beatapi.io/awesome-jev - [RoboJEV](https://jevlibrary.dev/projects/lykycy123-robojev): Two-stage JEV control of a Franka Panda in MuJoCo - [pi-jev-router (philippdubach)](https://jevlibrary.dev/projects/philippdubach-pi-jev-router): A minimal Pareto-optimal OpenRouter model router for pi, based on Jev - [jevals](https://jevlibrary.dev/projects/openlayer-ai-jevals): Agent evals and guardrails in one request. Built on Jev, Kev and Laya. - [Jev-Quantum](https://jevlibrary.dev/projects/karminski-jev-quantum): 亚微秒级 System-1 模型，准确率服从高斯分布 - [twitter-jev-guard](https://jevlibrary.dev/projects/qs-lll-twitter-jev-guard): 使用 TypeSafe Jev 在 X/Twitter 时间线上识别低质量、垃圾和广告帖子，并在文字区域显示醒目的半透明水印。 - [open-spark-jev](https://jevlibrary.dev/projects/abhishek085-open-spark-jev): Open-source, local decision models inspired by TypeSafe’s Jev and System One - built on Qwen3 for NVIDIA DGX Spark. - [jev-leftpad](https://jevlibrary.dev/projects/f-jev-leftpad): Left-pad strings with TypeSafe AI's Jev. For reasons. - [OpenJev (zhangcy122)](https://jevlibrary.dev/projects/zhangcy122-openjev): OpenJev: Open-source alternative to TypeSafe Jev. Typed probabilistic decision API (Choice, Noul, Score) powered by open LLMs & constrained logprob calibration. - [awesome-jev-live](https://jevlibrary.dev/resources/wh000wh000-awesome-jev-live): Awesome Jev — evidence-graded index of TypeSafe System One: SDKs, MCP tools, agents, apps and open models. 20 languages, rebuilt every 2 hours. - [JevLoop](https://jevlibrary.dev/projects/zjunlp-jevloop): The agent loop where decisions don't cost a large language model call. Zero deps, runs offline, no API key needed. - [jevcache (kushals256)](https://jevlibrary.dev/projects/kushals256-jevcache): Skip expensive LLM calls when TypeSafe Jev says same intent. OpenAI-compatible local cache proxy — npx @kushalicious/jevcache - [dohnuts](https://jevlibrary.dev/projects/psiace-dohnuts): Dohnuts builds small multimodal models for direct decisions. -> System One model - [jev-minesweeper](https://jevlibrary.dev/projects/comoc-jev-minesweeper): TypeSafe Jev (System One) にブラウザ上のマインスイーパーを解かせるデモ - [nanojev-arena](https://jevlibrary.dev/projects/caijinchun-nanojev-arena): NanoJev Snake Arena: 1v4 human-vs-AI battleship + 100-agent swarm simulator. Local demo of Jev System-One model (open-source mini replica). ## Official (19 entries) Docs, SDKs, and resources from TypeSafe AI. - [System One adapter (Python)](https://jevlibrary.dev/projects/typesafe-ai-system-one-adapter-python): Official drop-in TypeSafeClient replacement backed by OpenAI, Anthropic, and compatible LLM APIs, for comparing Jev against chat models. - [TypeSafe JavaScript SDK](https://jevlibrary.dev/projects/typesafe-ai-typesafe-sdk-js): Official TypeScript/JavaScript client with inferred answer types. npm install @typesafe-ai/sdk. - [TypeSafe agent skills](https://jevlibrary.dev/projects/typesafe-ai-skills): Official agent skill for Claude Code, Codex, and compatible agents: primitives, patterns, and how to structure evaluations. - [TypeSafe Python SDK](https://jevlibrary.dev/projects/typesafe-ai-typesafe-sdk-python): Official sync and async Python client. pip install typesafe-sdk. - [TypeSafe AI](https://jevlibrary.dev/resources/typesafe-ai): Company homepage, waitlist, and product overview. - [Documentation](https://jevlibrary.dev/resources/documentation): Introduction, primitives, patterns, cookbooks, HTTP API, and SDK references. - [Quick start](https://jevlibrary.dev/resources/quick-start): Shortest path from an API key to a typed decision. - [Playground](https://jevlibrary.dev/resources/playground): Paste a state, add questions, and see typed answers in the browser. - [HTTP API reference](https://jevlibrary.dev/resources/http-api-reference): Request and response contract for POST /v1/systemone. - [Primitives](https://jevlibrary.dev/resources/primitives): Choice, Score, and Noul: the three question types and what they return. - [Patterns](https://jevlibrary.dev/resources/patterns): Speculative fan-out, confidence-gated routing, composite scoring, and intent routing. - [Cookbooks](https://jevlibrary.dev/resources/cookbooks): Reproducible recipes: parallel questions, reranking, guardrails, citation checks, extraction, hierarchical classification. - [Smart home demo](https://jevlibrary.dev/resources/smart-home-demo): Official interactive demo of speculative fan-out: many questions in one call, code keeps the relevant answers. - [Workflow evals](https://jevlibrary.dev/resources/workflow-evals): Published eval methodology and per-model results for System One workflows. - [Jev 1.13 jaggedness](https://jevlibrary.dev/resources/jev-1-13-jaggedness): Known failure modes of the current public model, documented by TypeSafe. - [Introducing System One Models and Jev](https://jevlibrary.dev/resources/introducing-system-one-models-and-jev): Launch post: architecture, RLCD training, pricing, Doom and Wikiracing demos, FAQ. - [Manifesto](https://jevlibrary.dev/resources/manifesto): The case for machine-native intelligence built for software, not conversation. - [Discord](https://jevlibrary.dev/resources/discord): Official TypeSafe server. Builder demos live in the Show and Tell channel. - [@typesafeai on X](https://jevlibrary.dev/resources/typesafeai-on-x): Product and research updates. ## SDKs & clients (61 entries) Community clients for languages without an official SDK. - [advocaat](https://jevlibrary.dev/projects/pithings-advocaat): A small, type-safe client for asking AI questions about your data, powered by TypeSafe Jev. - [typesafe-sdk (joshmn)](https://jevlibrary.dev/projects/joshmn-typesafe-sdk): Ruby client for typesafe.ai - [typesafe-ai](https://jevlibrary.dev/projects/twister915-typesafe-ai): Typed TypeSafe AI clients for Rust, with async and blocking backends and observable retries. - [typesafe-dotnet-sdk](https://jevlibrary.dev/projects/saibimajdi-typesafeai-dotnet-sdk): Community .NET SDK for the TypeSafe AI System One API — typed noul, choice, and score questions with structured, confidence-scored answers. Not affiliated with TypeSafe AI. - [TypeSafeAI.Net](https://jevlibrary.dev/projects/hawxy-typesafeai-net): .NET SDK for the TypeSafe AI platform - [typesafe-go (cole-gillespie)](https://jevlibrary.dev/projects/cole-gillespie-typesafe-go): unofficial go SDK for typesafe AI, with typed answers, retries, and context support - [typesafe_sdk](https://jevlibrary.dev/projects/nshkrdotcom-typesafe-sdk): An idiomatic, type-safe Elixir port of the official TypeScript AI SDK (ai / ai-sdk) providing unified LLM integrations, streaming text and structured outputs, tool calling, and agentic workflows. Jev is their current flagship model and is the first System One model. - [jevgo](https://jevlibrary.dev/projects/fgn-jevgo): Go client for TypeSafe AI's System One API (Jev), with optional Langfuse instrumentation - [jevclient](https://jevlibrary.dev/projects/abovecolin-jevclient): Async Python client for TypeSafe Jev. Typed questions in, probabilities and choices out, no prose to parse. - [jod](https://jevlibrary.dev/projects/mateonunez-jod): Semantic schemas over TypeSafe's Jev — validate the state locally, then project typed answers. - [jev-go (guillemus)](https://jevlibrary.dev/projects/guillemus-jev-go): Unofficial Go SDK for TypeSafe AI's Jev API - [jev-go (Gaurav-Gosain)](https://jevlibrary.dev/projects/gaurav-gosain-jev-go): Go client for TypeSafe's System One API and its model Jev: typed judgments and calibrated probabilities instead of generated text - [typesafe-sdk-rust](https://jevlibrary.dev/projects/codeitlikemiley-typesafe-sdk-rust): Rust SDK for the TypeSafe AI API - [zio-typesafe-ai](https://jevlibrary.dev/projects/jamesward-zio-typesafe-ai): Scala 3 / ZIO client for the System One API: typed end-to-end, several questions per round-trip via NamedTuple. - [typesafe-ai-rs](https://jevlibrary.dev/projects/gilljon-typesafe-ai-rs): Independent async and blocking Rust SDK for the TypeSafe AI System One API - [typesafe-client](https://jevlibrary.dev/projects/jedimemo-typesafe-client): Unofficial typed async Rust client for the TypeSafe System One API - [kunobi-jev](https://jevlibrary.dev/projects/kunobi-ninja-kunobi-jev): Rust client for the TypeSafe System One API (Jev) - [tinyjevclient](https://jevlibrary.dev/projects/tinyhumansai-tinyjevclient): An integration with jev by typesafe.ai in Rust - [decido](https://jevlibrary.dev/projects/yairshy-decido): Probabilistic decisions for Python. Use Jev or bring your own provider; crawl with Playwright. - [super-jev](https://jevlibrary.dev/projects/kevthetech143-super-jev): A small, extensible decision-to-action harness for TypeSafe Jev - [typesafe-sdk (binnash)](https://jevlibrary.dev/projects/binnash-typesafe-sdk): PHP & Laravel SDK for TypeSafe AI's JEV Model series - [jev](https://jevlibrary.dev/projects/anilsenay-jev): Unofficial Go client for TypeSafe's System One API and its model, Jev. - [typesafe-sdk-swift](https://jevlibrary.dev/projects/insanearts-typesafe-sdk-swift): Swift SDK for TypeSafe AI - [typesafe-go (zhirschtritt)](https://jevlibrary.dev/projects/zhirschtritt-typesafe-go): Idiomatic Go SDK for the TypeSafe AI API - [typesafeai-go](https://jevlibrary.dev/projects/chez-shanpu-typesafeai-go): Go SDK for TypeSafe AI API https://docs.typesafe.ai/api - [typesafe_sdk_ex](https://jevlibrary.dev/projects/vinnie357-typesafe-sdk-ex): Typesafe AI SDK in Elixir using Req - [typesafe-sdk-php](https://jevlibrary.dev/projects/valksor-typesafe-sdk-php): Unofficial PHP SDK for the TypeSafe AI System One API — 1:1 parity with the official JS and Python SDKs. Not affiliated with TypeSafe AI. - [typesafe-sdk-go](https://jevlibrary.dev/projects/valksor-typesafe-sdk-go): Unofficial Go SDK for the TypeSafe AI System One API — 1:1 parity with the official JS and Python SDKs. Not affiliated with TypeSafe AI. - [typesafe_ai (typesend)](https://jevlibrary.dev/projects/typesend-typesafe-ai): Unofficial Elixir SDK for the TypeSafe AI API - [typesafe.zig](https://jevlibrary.dev/projects/mattneel-typesafe-zig): An idiomatic Zig client for the TypeSafe AI API - [typesafe](https://jevlibrary.dev/projects/mattneel-typesafe): An idiomatic Elixir client for the TypeSafe AI API - [typesafe_ai (hfiguera)](https://jevlibrary.dev/projects/hfiguera-typesafe-ai): A supervised Mint client for the TypeSafe AI System One API - [s1-rs](https://jevlibrary.dev/projects/abdelstark-s1-rs): Typed System One layer for Rust (Choice/Score/Noul). - [typesafe-rs](https://jevlibrary.dev/projects/abdelstark-typesafe-rs): Latency-first Rust SDK for TypeSafe System One. - [zod-jev](https://jevlibrary.dev/projects/jomatsu-zod-jev): Zod validates the shape, Jev validates the meaning: semantic checks on request bodies become calibrated probabilities you threshold in code. - [jev (dannote)](https://jevlibrary.dev/projects/dannote-jev): TypeSafe Jev for OTP: reply to Jev from a GenServer and pattern match on its answer - [typesafe-sdk-go (Tangerg)](https://jevlibrary.dev/projects/tangerg-typesafe-sdk-go): Go SDK for the TypeSafe AI API — typed questions in, probability distributions out. - [jev-dsl](https://jevlibrary.dev/projects/inanna-malick-jev-dsl): Agent-first Haskell DSL for TypeSafe's Jev judgment model: typed packets, inferred types, answers under the same labels - [jev-java](https://jevlibrary.dev/projects/olti1947-jev-java): Idiomatic Java SDK for TypeSafe AI Jev System One decision engine - [typesafe-sdk-java](https://jevlibrary.dev/projects/premo-cloud-typesafe-sdk-java): Community Java client for the TypeSafe System One API (unofficial) - [qualm](https://jevlibrary.dev/projects/qddegtya-qualm): Typed decisions from a System One model. An uncertain answer is a different type from a confident one — and the compiler makes you handle it. - [ruby_decision_model](https://jevlibrary.dev/projects/obie-ruby-decision-model): Ruby client for decision models such as Typesafe Jev - [typesafe-sdk-go (atharvamhaske)](https://jevlibrary.dev/projects/atharvamhaske-typesafe-sdk-go): unofficial go sdk for typesafe ai - [typesafe-ai-jev](https://jevlibrary.dev/projects/kcb-swe-gh-typesafe-ai-jev): Java 21 client for Jev, TypeSafe AI's structured decision model - [jev-go](https://jevlibrary.dev/projects/stumble-jev-go): Community Go SDK for TypeSafe AI Jev / System One - [jev-php-sdk](https://jevlibrary.dev/projects/mzainzulifqar-jev-php-sdk): PHP SDK for TypeSafe's Jev: send text and typed questions, get typed answers with calibrated confidence. PHP 8.1+, works with any PSR-18 client, Laravel 8–13. - [jevalyn](https://jevlibrary.dev/projects/ray-hughes-jevalyn): The decision layer for your Rails app. A Rails-native wrapper around TypeSafe's Jev System One API: typed, calibrated decisions in your control flow. - [JevSwiftSDK](https://jevlibrary.dev/projects/nsstudent-jevswiftsdk): An independent, type-safe Swift SDK for TypeSafe Jev, with async/await, batching, retries, and SPM support. - [jev-java (gudcks0305)](https://jevlibrary.dev/projects/gudcks0305-jev-java): Unofficial Java SDK for TypeSafe Jev and Vercel AI Gateway, with Spring Boot and WebClient support - [jev4k](https://jevlibrary.dev/projects/pambrose-jev4k): A Kotlin DSL and client for TypeSafe's Jev model - [typesafe-sdk-go (unimtx)](https://jevlibrary.dev/projects/unimtx-typesafe-sdk-go): Community Go SDK for the TypeSafe System One API with typed Choice, Score, and Noul questions plus retries, contexts, and structured errors. - [scala-jev-sdk](https://jevlibrary.dev/projects/ticofab-scala-jev-sdk): Effect-agnostic Scala 3 client for the System One API that runs on any sttp backend (Future, cats-effect, ZIO, Monix, or blocking) with answers typed by question value. - [spring-ai-typesafe](https://jevlibrary.dev/projects/spring-ai-community-spring-ai-typesafe): A Java SDK for the TypeSafe AI JEV API, & Spring AI TypeSafe integrations. - [jev (virolea)](https://jevlibrary.dev/projects/virolea-jev): Ruby client for the typesafe AI Jev model - [rust-sysone](https://jevlibrary.dev/projects/zcoder-run-rust-sysone): System One TypeSafe AI Rust Client (unofficial) - [typesafe-sdk-dotnet](https://jevlibrary.dev/projects/hardkoded-typesafe-sdk-dotnet): Unofficial .NET port of the TypeSafe AI client SDK (typed questions & answers) - [jev-android](https://jevlibrary.dev/projects/dougsong-jev-android): A Kotlin Android SDK for UI automation powered by TypeSafe Jev, with an accessibility runtime and sample app. - [jev-harness-router](https://jevlibrary.dev/projects/joacomarc-jev-harness-router): Per-turn router for agent harnesses: one 350ms Jev call picks the model tier, effort, tools and skill, behind a hard deadline with a regex fallback. Claude Agent SDK adapter included. - [TypeSafeAI](https://jevlibrary.dev/projects/tryagi-typesafeai): First-class, NativeAOT-ready .NET SDK for TypeSafe AI System One, generated with AutoSDK. - [typesafe-sdk-ruby](https://jevlibrary.dev/projects/afurm-typesafe-sdk-ruby): Unofficial Ruby SDK for the TypeSafe AI API (Jev model) - typed questions, retries, and typed errors. Community port of typesafe-sdk-js. - [typesafe-sdk-go (dwisiswant0)](https://jevlibrary.dev/projects/dwisiswant0-typesafe-sdk-go): Go SDK for TypeSafe AI. ## Integrations (33 entries) Jev inside frameworks, gateways, and platforms. - [eve](https://jevlibrary.dev/projects/vercel-eve): Vercel's open agent framework, which ships Jev as the default evaluation model in its experimental evaluate path. - [ai-cli](https://jevlibrary.dev/projects/vercel-labs-ai-cli): Vercel Labs terminal CLI that can run Jev as the evaluation model for its evaluate command. - [ruby_llm-typesafe](https://jevlibrary.dev/projects/kieranklaassen-ruby-llm-typesafe): TypeSafe structured-output provider for RubyLLM 2 - [A home that understands](https://jevlibrary.dev/projects/abovecolin-ha-jev): Turn the state of your home into typed decisions, sensors, and smarter automations. - [neo4jev](https://jevlibrary.dev/projects/jexp-neo4jev): Typesafe.ai System One Model Jev navigating a Neo4j graph by using a classifier over neighbouring relationships - [typesafe-jev-workflow](https://jevlibrary.dev/projects/giesn-typesafe-jev-workflow): Async LangGraph workflow that gets a typed Jev Choice (invoice or general) and routes each inbound email to the matching handler. - [a0-typesafe-ai](https://jevlibrary.dev/projects/3clyp50-a0-typesafe-ai): TypeSafe AI Jev judgments for Agent Zero, with typed tools and probability cards. - [typesafe-ai-rails](https://jevlibrary.dev/projects/genierobot-typesafe-ai-rails): Community Rails integration on the typesafe-sdk gem: configuration, persisted usage and cost telemetry, and opt-in confidence policies. - [pg_typesafe](https://jevlibrary.dev/projects/giuliosmall-pg-typesafe): Pre-alpha PostgreSQL extension for TypeSafe AI (Jev) categorical classification - [laravel-typesafe-jev](https://jevlibrary.dev/projects/butochnikov-laravel-typesafe-jev): Unofficial Laravel integration for TypeSafe Jev AI with typed responses, async requests, scoped dependency injection, and testing fakes. - [Jev4Mellea](https://jevlibrary.dev/projects/soundblaster-jev4mellea): Jev adapter to Mellea - [judging-with-typesafe](https://jevlibrary.dev/projects/carlsonchik-judging-with-typesafe): Скилл для агентов Letta: суждения по критериям через TypeSafe System One (Jev) - [pydantic-jev-examples](https://jevlibrary.dev/projects/adtyavrdhn-pydantic-jev-examples): Pydantic AI capabilities made stronger with Jev: small runnable demos, one file each - [typesafe-on-neon](https://jevlibrary.dev/projects/andrelandgraf-safer-with-jev): Neon Function proxy for the Neon AI Gateway with TypeSafe Jev routing. - [typesafe-assist](https://jevlibrary.dev/projects/janostrowka-typesafe-assist): Home Assistant Assist conversation agent powered by TypeSafe's Jev (System One) model - [n8n-nodes-typesafe-ai](https://jevlibrary.dev/projects/dommonte-n8n-nodes-typesafe-ai): n8n community node for the TypeSafe AI System One API — typed yes/no, choice and score questions with calibrated probabilities - [typesafe-ui](https://jevlibrary.dev/projects/typesafeai-typesafe-ui): shadcn-style reusable components and blocks for using TypeSafe AI. - [Vercel AI SDK provider](https://jevlibrary.dev/projects/vercel-ai-sdk-provider): @ai-sdk/typesafe-ai plus experimental_evaluate; use jev-latest as an evaluation model. - [Jev on Vercel AI Gateway](https://jevlibrary.dev/projects/jev-on-vercel-ai-gateway): Hosted typesafe-ai/jev for AI SDK evaluate calls, no TypeSafe waitlist required. - [Loki](https://jevlibrary.dev/projects/wundercorp-loki): Self-improving agent harness with an optional TypeSafe Jev companion for typed Choice, Score, and Noul judgments. - [agentgateway Jev guardrail example](https://jevlibrary.dev/projects/agentgateway-jev-guardrail-example): Jev as an LLM prompt guardrail inside the agentgateway proxy, with tracing and cost tracking. - [TrainLCD Jev rerank](https://jevlibrary.dev/projects/trainlcd-jev-rerank): Pull request adding Jev to station-suggestion reranking in the TrainLCD transit app. - [pg-jev](https://jevlibrary.dev/projects/realzachi-pg-jev): Ask your Postgres tables questions in plain language. A PostgreSQL extension powered by TypeSafe's Jev. - [jev-shell-history](https://jevlibrary.dev/projects/mrnugget-jev-shell-history): Fish-style zsh history autosuggestions ranked by Jev (TypeSafe) - [llama-index-jev](https://jevlibrary.dev/projects/wiktorb2004-llama-index-jev): LlamaIndex reranker + router powered by TypeSafe Jev — typed scores/choices, cheaper than LLM-as-judge. - [jevql](https://jevlibrary.dev/projects/kylemclaren-jevql): Semantic SQL for Postgres, powered by Jev - [jevmail](https://jevlibrary.dev/projects/fazlerocks-jevmail): Open-source AI email triage for Gmail. Sorts your inbox into Needs reply, Updates, Promos, Sales and Spam with Jev, TypeSafe AI's decision model, via Vercel AI Gateway. Read-only, runs locally, 1,000 emails in about a minute for 3 cents. - [n8n-nodes-jev](https://jevlibrary.dev/projects/vibe-with-me-tools-n8n-nodes-jev): Helper n8n community node for Jev by TypeSafe. Classify, route, and score text with questions you define, and get a probability for every answer so unsure items can go to review. - [hush](https://jevlibrary.dev/projects/emreozyoruk-hush): GitHub Action for issue triage that abstains: label, spam, needs-info and duplicate in one call, each applied only above a threshold you set, and nothing at all below it. - [jevmetrics](https://jevlibrary.dev/projects/ishantanu-jevmetrics): OpenTelemetry Collector connector that uses Jev to assess metric metadata and apply retention policies before export. - [jev-lens.nvim](https://jevlibrary.dev/projects/rashedint32-jev-lens-nvim): Neovim popup for jev-lens verdicts: do I need to look, which files, and strip the debris. - [jev-feels](https://jevlibrary.dev/projects/qew7-jev-feels): Semantic decisions as ordinary Ruby — feels?, decide, score, Rails validations and pattern matching powered by Jev - [demo-symfony-typesafe](https://jevlibrary.dev/projects/yoanbernabeu-demo-symfony-typesafe): Démo : trier des demandes de support avec Jev (TypeSafe) et Symfony AI. Messenger, Live Components, Turbo, kit shadcn de UX Toolkit. ## Agent tooling (168 entries) Gates, routers, reviewers, MCP servers, and skills for coding agents. - [jev-review (devagrawal09)](https://jevlibrary.dev/projects/devagrawal09-jev-review): A staged code-review workflow and local dashboard built with TypeSafe Jev. - [foreman](https://jevlibrary.dev/projects/thruwire-foreman): Software Factory Foreman: an agent supervisor that uses Jev decisions to keep coding agents on task. - [jev-review (NiazMorshed2007)](https://jevlibrary.dev/projects/niazmorshed2007-jev-review): Local-first MCP plugin for continuous software-quality review by AI coding agents, powered by Jev. - [jev-router (gargpratyush)](https://jevlibrary.dev/projects/gargpratyush-jev-router): Route to the cheapest model in claude code for your task using jev-router - [jev-mcp (jkudish)](https://jevlibrary.dev/projects/jkudish-jev-mcp): Proof of concept MCP for Typesafe's new Jev AI model - [pi-warden](https://jevlibrary.dev/projects/devmortimer-pi-warden): Guardrails for Pi built on pi-typesafe that steer the agent instead of interrupting you: Jev judges irreversible and off-task tool calls, detects stuck loops, checks unverified done claims, flags slop - [TypeSafe MCP](https://jevlibrary.dev/projects/itsmostafa-typesafe-mcp): Bring typed Jev judgments to your coding assistant through a single MCP server. - [pi-jev (y0usaf)](https://jevlibrary.dev/projects/y0usaf-pi-jev): TypeSafe Jev as a decision layer for the Pi coding agent: a measured tool-call gate plus jev_ask for typed, calibrated answers - [jev-axi](https://jevlibrary.dev/projects/shiftynick-jev-axi): Agent-ergonomic CLI for TypeSafe's Jev: fast calibrated judgments (pick, rate, check, rank, triage, guard) from the shell - [jev-codex-router](https://jevlibrary.dev/projects/0xnatoshi-jev-codex-router): Per-turn model & reasoning routing for Codex, driven by Jev (TypeSafe System One): picks the model, thinking depth and speed mode for every turn. - [jev-mcp (blakestone-x)](https://jevlibrary.dev/projects/blakestone-x-jev-mcp): MCP server for TypeSafe Jev: typed classify, score, check, match and screen for any agent, with confidence on every answer - [typesafe-cli (geilt)](https://jevlibrary.dev/projects/geilt-typesafe-cli): CLI and agent skill for TypeSafe System One (Jev): typed Choice, Score, and Noul judgments. - [winnow](https://jevlibrary.dev/projects/ghalebdweikat-winnow): A calibrated context sieve for Claude Code: every tool result is judged by a System One model before it enters context. - [typesafe-skill-router](https://jevlibrary.dev/projects/decrux9812-typesafe-skill-router): TypeSafe (Jev) skill routing for Hermes Agent: names the one skill worth loading, before the model call. Opt-in, stdlib only, ~$0.001 per routed turn. - [pi-jev-auto-mode](https://jevlibrary.dev/projects/jomatsu-pi-jev-auto-mode): Jev (TypeSafe System One) backed auto mode for the Pi coding agent: semantically auto-approves bash, write, and edit tool calls and fails closed when a decision cannot be made. - [typesafe-migration-guard](https://jevlibrary.dev/projects/opaielsheikh-typesafe-migration-guard): Automated database migration safety reviewer powered by TypeSafe AI (Jev System One model) - [typesafe-mod](https://jevlibrary.dev/projects/belazy167-typesafe-mod): Claude Code mod that routes decisions to TypeSafe's Jev model: ranks installed skills per prompt, and answers the agent's own this-or-that questions when confident. - [jev-judgment](https://jevlibrary.dev/projects/hyunjunjeon-jev-judgment): Agent Skill: send closed coding-agent judgments to TypeSafe Jev - [jev-agent-skill-router](https://jevlibrary.dev/projects/godsboy-jev-agent-skill-router): Typed, confidence-aware agent skill routing with TypeSafe Jev. - [jev-mcp (rashedInt32)](https://jevlibrary.dev/projects/rashedint32-jev-mcp): MCP server exposing TypeSafe Jev as typed, calibrated judgment tools: classify, score, check, batched ask. Ships as a Claude Code plugin. - [diffjury](https://jevlibrary.dev/projects/raihankhan-rk-diffjury): DiffJury — TypeSafe Jev PR risk router + code review coach - [jev-shield](https://jevlibrary.dev/projects/caiovicentino-jev-shield): Semantic MCP firewall powered by Jev — screens every tool call, tool result, and tool description with calibrated System One verification. 94% block recall, 0 false positives, ~$0.00002/check. - [jev-mcp (benballintyn)](https://jevlibrary.dev/projects/benballintyn-jev-mcp): MCP server giving coding agents typed, calibrated judgments from TypeSafe's Jev model - [pi-jev-router](https://jevlibrary.dev/projects/mejiasd3v-pi-jev-router): Automatic model routing for Pi using TypeSafe's Jev through Vercel AI Gateway - [omp-typesafe](https://jevlibrary.dev/projects/siddicky-omp-typesafe): TypeSafe AI (Jev) adversarial reviewer and typesafe_ask tool for the omp coding agent - [jcm-router](https://jevlibrary.dev/projects/adarshmishra07-jcm-router): Local proxy that picks the Claude model and effort per message using TypeSafe Jev. Routes subagents, leaves your cached main chat alone. - [pi-quiet-ask](https://jevlibrary.dev/projects/hyunjunjeon-pi-quiet-ask): TypeSafe Jev as the pi coding agent's quiet decision layer - [ailerix](https://jevlibrary.dev/projects/tylerjharden-ailerix): Type-safe model router. Jev (System One) banks each request to a typed catalog route. - [ask-jev](https://jevlibrary.dev/projects/omni-ask-jev): Utilizing Jev, the RLCD-type model provided by TypeSafe AI, to independently and cheaply judge agentic coding sessions. - [jev-predict-skill](https://jevlibrary.dev/projects/danielkillenberger-jev-predict-skill): Predict another skill's next closed decision with TypeSafe Jev — without running that skill. - [bicameral](https://jevlibrary.dev/projects/abdelstark-bicameral): Hybrid coding harness: System 2 writes, System 1 (Jev) runs reflexes. - [Antigravity-mcp-semantic-search-with-TypeSafeAi](https://jevlibrary.dev/projects/greenyamao-antigravity-mcp-semantic-search-with-typesafeai): Fast semantic code search & diff sanity auditor for AI coding assistants (Antigravity, Cursor, Claude Code) powered by TypeSafe System One. - [jev-mcp (arunav25)](https://jevlibrary.dev/projects/arunav25-jev-mcp): Connect JEV to MCP clients and compare its judgments against general-purpose LLMs using shared datasets and measurable accuracy. - [jev-guard](https://jevlibrary.dev/projects/leepokai-jev-guard): Prompt-injection and dangerous-action guard for coding agents (Claude Code, Codex, pi, ACP), powered by Jev - [jev-code](https://jevlibrary.dev/projects/devagrawal09-stanley-code): Bounded TypeSafe Jev workflows for coding agents. - [jev-triage](https://jevlibrary.dev/projects/cephalization-jev-triage): Uses typeful jev, zero sync to pull and sync large repositories for issue triage - [omp-jevens-classifier](https://jevlibrary.dev/projects/strml-omp-jevens-classifier): Jev-powered model-judged permission gate for OMP (TypeSafe System One) - [jev-mcp (burnigtm)](https://jevlibrary.dev/projects/burnigtm-jev-mcp): MCP server that puts TypeSafe Jev on the coding loop in Cursor, Codex, and any MCP client - [pi-jev-code](https://jevlibrary.dev/projects/kamilpostrozny-pi-jev-code): Single-agent Pi coding coprocessor with Jev semantic gates, baseline-to-current diff review, and append-only observability telemetry. - [pi-jev (TheoOliveira)](https://jevlibrary.dev/projects/theooliveira-pi-jev): Semantic tool routing and typed System One decisions for the Pi coding agent using TypeSafe Jev - [JevLint](https://jevlibrary.dev/projects/huntedman-jevlint): Configurable semantic linting powered by Jev, with file-level NOUL judgments and a magic-strings plugin. - [jev-system-architect](https://jevlibrary.dev/projects/samtay32-jev-system-architect): System-architecture skill for TypeSafe AI Jev/System One — find fuzzy semantic judgment and turn it into small Choice/Score/Noul primitives. - [jev-skillful](https://jevlibrary.dev/projects/bestagentkits-jev-skillful): Per-prompt capability router for coding agents: resolves installed skills, MCP servers, agents and commands against your prompt via TypeSafe Jev, and measures whether the injection actually helps. - [ask-jev-skill](https://jevlibrary.dev/projects/shantanugoel-ask-jev-skill): Skill for Hermes, and other agents, to ask typesafe's jev - [pi-agent-foreman](https://jevlibrary.dev/projects/alexshpunt-pi-agent-foreman): Send Pi agents back to work when they stop before the job is done. - [check-risk](https://jevlibrary.dev/projects/moezubair-check-risk): A CLI and GitHub Action that assesses code-change risk using deterministic rules and TypeSafe Jev, recommending checks and reviewers before merge. - [limpet](https://jevlibrary.dev/projects/noplan-inc-limpet): A Stop hook that stops your coding agent from stopping too early. Plain-language rules, judged by jev. - [agent-gate-loop](https://jevlibrary.dev/projects/ripwords-agent-gate-loop): Reusable GitHub Action: agent fix loop gated by checks, an AI reviewer, and TypeSafe Jev - [switchboard](https://jevlibrary.dev/projects/aniruddh-krovvidi-switchboard): Guardrail + model router for LLM gateways on TypeSafe's Jev (System One model), with an independent accuracy/calibration/latency evaluation. Stdlib Python. - [frost](https://jevlibrary.dev/projects/marcus-frost): A flexible and configurable CLI model router using TypeSafe Jev. - [pi-typesafe-jev](https://jevlibrary.dev/projects/legacybridge-tech-pi-typesafe-jev): A pi extension that exposes TypeSafe (Jev, System One) judgments as five pi tools, so a model can make narrow semantic judgments while your code and your users keep control of thresholds, weights, and actions. - [jev-router (prismhq)](https://jevlibrary.dev/projects/prismhq-jev-router): Open-source LLM router that uses TypeSafe's Jev to pick a model, on top of LiteLLM - [pi-typesafe](https://jevlibrary.dev/projects/twilwa-pi-typesafe): Pi coding-agent extension built on the TypeSafe AI System One API (Jev) - [jev-review (thiago-ss)](https://jevlibrary.dev/projects/thiago-ss-jev-review): Autonomous Jev pull-request review with typed decisions, calibrated approval gates, and trusted-owner escalation - [hermes-jev-router](https://jevlibrary.dev/projects/ussyverse-hermes-jev-router): Experimental Hermes plugin: Jev-assisted model routing plans with budget and capability constraints. API access pending. - [zcode-jev](https://jevlibrary.dev/projects/zahrannnn-zcode-jev): Typed judgment layer for coding agents — gates from PRD to ship. Jev-ready, provider-agnostic. - [jev-builder-loop](https://jevlibrary.dev/projects/rainbowpuffpuff-jev-builder-loop): Grok skill: Jev as a judgment sensor in a builder-agent loop (priors × probabilities → next act) - [typesafeai-review](https://jevlibrary.dev/projects/rbalch-typesafeai-review): Using Typesafe.AI to generate diff reviews. - [typesafe-demo-mcp](https://jevlibrary.dev/projects/bestagentkits-typesafe-demo-mcp): MCP server exposing TypeSafe System One judgments (noul, choice, score) as agent tools - [agent-handoff-gate](https://jevlibrary.dev/projects/zsoxi-agent-handoff-gate): Experimental protocol for evidence-aware agent handoffs, with Jev-assisted review before results reach the lead agent. - [jevex](https://jevlibrary.dev/projects/jvsteiner-jevex): Minimal agent loop where Jev directs control flow and a LangChain chat model writes argument values and the final response. - [fast-jev-compaction](https://jevlibrary.dev/projects/tamaratran-fast-jev-compaction): Claude Code plugin that replaces the compaction summary with Jev decisions: every tool call and result is scored in one fast request, stale ones are dropped or truncated, everything kept stays verbatim. - [building-with-jev-skill](https://jevlibrary.dev/projects/dbreunig-building-with-jev-skill): A skill for writing and improving programs that call Jev, TypeSafe's System One model - [skillranker](https://jevlibrary.dev/projects/dicklesworthstone-skillranker): Rust CLI powered by Jev from TypeSafe.ai that ranks agent skills for the next step using live session context. Includes Claude Code hooks, structured JSON, abstention, and local feedback. Requires a TypeSafe API key. - [jev-search](https://jevlibrary.dev/projects/superagents-lab-jev-search): Search the web with TypeSafe's Jev: source selection, query understanding and relevance ranking. Built with Search1API. - [hono-jev-router](https://jevlibrary.dev/projects/yusukebe-hono-jev-router): Route HTTP requests by meaning. A semantic router for Hono powered by Jev. - [yoshi](https://jevlibrary.dev/projects/compozy-yoshi): Context-pruning proxy for Claude Code and Codex: Jev judges which history is still needed, measured not claimed. POC here now, heading soon into https://github.com/compozy/compozy - [snifftest](https://jevlibrary.dev/projects/danrwilloughby-snifftest): A prose linter that sniffs out AI writing tells. Zero dependencies, countable rules plus one judgment model. - [JevRouter](https://jevlibrary.dev/projects/billionsbobby-jevrouter): A lightweight Jev-powered router for models, tools, and subagents - [clean-code-review](https://jevlibrary.dev/projects/frostney-clean-code-review): Every code file in a pull request, judged against Uncle Bob's Clean Code by TypeSafe's Jev, then reviewed by Luna. Built on eve and Next.js. - [jevwire](https://jevlibrary.dev/projects/brainwires-jevwire): Jev decision layer for agents: MCP server, embeddable DecisionModel library, and an escalate-only Claude Code plugin (TypeSafe AI's Jev) - [hermes-jev](https://jevlibrary.dev/projects/keeltrace-hermes-jev): Typed System One decisions, ranking, verification, and an opt-in Hermes tool gate using TypeSafe Jev. - [hermes-jev-approvals](https://jevlibrary.dev/projects/anpicasso-hermes-jev-approvals): PoC: TypeSafe Jev as the reviewer for Hermes Agent smart command approvals. 8.7x faster, 4.4x fewer prompts, measured on 153 real commands. Approvals only. - [jev (BorisLeMeec)](https://jevlibrary.dev/projects/borislemeec-jev): A claude code plugin for jev - [pi-heed](https://jevlibrary.dev/projects/nyarlathoteppppp-pi-heed): Runtime constraints for the pi coding agent: checks every side-effecting tool call against what you said, before it runs. Powered by TypeSafe Jev. - [omp-jev-compaction](https://jevlibrary.dev/projects/jerryfane-omp-jev-compaction): Verbatim Jev-scored context reduction for omp, over TypeSafe or OpenRouter - [riff](https://jevlibrary.dev/projects/scale-venture-partners-riff): A small, fast prose linter: ruff-style rule codes for writing, backed by TypeSafe's Jev model - [pi-fast-jev-compaction](https://jevlibrary.dev/projects/joelhooks-pi-fast-jev-compaction): Pi extension: verbatim context compaction with TypeSafe Jev decisions - [todo-jev](https://jevlibrary.dev/projects/maker-kk-todo-jev): ⚡ Ultra-fast, low-cost intelligent task classifier and 3-tier routing engine powered by TypeSafe Jev (System One) - [jgrep](https://jevlibrary.dev/projects/keltokhy-jgrep): grep, but the pattern is a description. Filters lines by meaning with TypeSafe's Jev decision model: ~200 ms and a thousandth of a cent per line. - [slidepilot](https://jevlibrary.dev/projects/harshil1712-slidepilot): Voice-driven semantic auto-advance for Slidev, powered by Cloudflare Agents and TypeSafe AI Jev - [tiershift](https://jevlibrary.dev/projects/iamvatsalpatel-tiershift): Shift every LLM call to the cheapest model that can handle it. Routing decided by TypeSafe Jev in ~180 ms. No training data. Policy in plain YAML. TypeScript and Python. - [skill-router](https://jevlibrary.dev/projects/lomeshdutta-skill-router): Tell Claude Code which installed skill a session needs, using Jev (TypeSafe AI) for the decision and skills.sh for discovery. - [jev-workbench](https://jevlibrary.dev/projects/molis-ai-jev-workbench): Build versioned judgment functions on TypeSafe's Jev once, then call the same published version from your backend over HTTP and from coding agents over MCP. The vendor key stays on your machine. - [fast-dev-compaction](https://jevlibrary.dev/projects/leonaaardob-fast-dev-compaction): Codex plugin: verbatim Jev-guided context restoration around session compaction. Port of tamaratran/fast-jev-compaction to Codex lifecycle hooks. - [jev-skill-gate](https://jevlibrary.dev/projects/shivampansuriya-jev-skill-gate): Cut Claude Code's skill manifest by ~75% with TypeSafe Jev. Scores every installed skill for relevance and hides the rest via skillOverrides — 12,750 → 3,185 tokens on a 217-skill install, for $0.0009 a session. - [jev-cli (Nasrallah-AL)](https://jevlibrary.dev/projects/nasrallah-al-jev-cli): Command-line tool for TypeSafe's Jev AI model - [is-malicious](https://jevlibrary.dev/projects/luantak-is-malicious): Scans a codebase for covert, deceptive, or data-stealing behavior with Jev, then reports suspicious files and line ranges before the user runs it. - [jev-pruner](https://jevlibrary.dev/projects/tamaratran-jev-pruner): Claude Code plugin: trim long Bash output with TypeSafe Jev before the model sees it - [jev-seo](https://jevlibrary.dev/projects/akashpriyadarshii-jev-seo): 100% free ₹0 agent-first SEO & GEO CLI suite and MCP server in Rust replacing Semrush and OpenSEO via DuckDuckGo and TypeSafe Jev System One - [jevscape](https://jevlibrary.dev/projects/skyvern-ai-jevscape): RuneBench harness for TypeSafe's Jev: bounded action catalog, tick-mode controller and a live dashboard - [jev-recruiter](https://jevlibrary.dev/projects/skeptrunedev-jev-recruiter): A Jev powered LinkedIn recruiting agent. Watch it browse relevant profiles, save links, and review evidence against your hiring brief. - [patdown](https://jevlibrary.dev/projects/tyler-dot-earth-patdown): typesafe's jev as a "fuzzy linter". give your code an ocular patdown. - [jevkit](https://jevlibrary.dev/projects/ariel-frischer-jevkit): Fast Rust CLI for TypeSafe Jev: typed decisions, offline linting before you pay - [clear-head](https://jevlibrary.dev/projects/vladyslavhontar-clear-head): Claude Code Stop hook that checks an AI assistant's claims against what it actually read this session, using TypeSafe's Jev as the judge - [JevPromptCoach](https://jevlibrary.dev/projects/crowdlinker-jevpromptcoach): Claude Code plugin that scores how well you prompt a coding agent, and shows whether your habits are improving. Runs on TypeSafe's Jev model. Zero added latency. - [git-jev-stage](https://jevlibrary.dev/projects/ibrahemid-git-jev-stage): Select Git changes for staging with a plain-language description. - [jevprune](https://jevlibrary.dev/projects/ibrahemid-jevprune): Filter command output for coding agents using a task description. - [jev-pref](https://jevlibrary.dev/projects/doeixd-jev-pref): Turn your AGENTS.md preferences into a fast, Jev-powered AI linter. - [routeKit](https://jevlibrary.dev/projects/rajdhakad9826-routekit): Agent-native LLM model router built with JEV by TypeSafe.ai. Dynamically selects the most suitable model based on task complexity, reasoning requirements, and tool usage. - [pi-jev-context](https://jevlibrary.dev/projects/kevinpita-pi-jev-context): Reversible context pruning for Pi, powered by TypeSafe Jev. Keep useful context without deleting session history. - [mastra-jev-moderation](https://jevlibrary.dev/projects/codealive-ai-mastra-jev-moderation): Input moderation for Mastra agents on TypeSafe Jev — one file - [pi-fast-jev-compaction (KamilPostrozny)](https://jevlibrary.dev/projects/kamilpostrozny-pi-fast-jev-compaction): Fast JEV compaction extension for pi - [jev-model-router](https://jevlibrary.dev/projects/az9713-jev-model-router): Jev (TypeSafe) model router on the Vercel AI Gateway - [jev-superpowers](https://jevlibrary.dev/projects/akashpriyadarshii-jev-superpowers): Systematic software development framework for AI coding agents upgraded with TypeSafe Jev System One typed decisions - [jev-scout](https://jevlibrary.dev/projects/akashpriyadarshii-jev-scout): Zero-hallucination open-source repo and crate scout powered by TypeSafe AI Jev System One scoring - [jev-git](https://jevlibrary.dev/projects/akashpriyadarshii-jev-git): Sub-second Git pre-commit & pre-push semantic reflex gate powered by TypeSafe AI Jev - [jev-decisions](https://jevlibrary.dev/projects/bojansandhaus-jev-decisions): Safety checks for Hermes and other AI agents before they act, ask for approval, or verify a change. - [grok-bot-jev](https://jevlibrary.dev/projects/bodila51-grok-bot-jev): Connect TypeSafe Jev to Grok Bot as a cheap decision layer - usage gates, skill template, examples - [jev-recall](https://jevlibrary.dev/projects/samdotmak-jev-recall): Retrieve by relevance, not resemblance: filter an AI assistant's memories with TypeSafe's Jev - [Cheshi](https://jevlibrary.dev/projects/cheshiai-cheshi): Jev-powered conversation memory: find past sessions and revisit decisions with original sources. A macOS workspace for OpenAI Codex. Manage AI conversations and agents, explore code with CodeGraph, and work with Git, Ghostty terminals, and Apple Notes in one app. - [jev-skill-suggester](https://jevlibrary.dev/projects/win4r-jev-skill-suggester): 用 TypeSafe Jev 推荐已安装 Skill / Bounded installed-skill recommendations with TypeSafe Jev. Python CLI, Codex skill, bilingual docs and live examples. - [jev-belay](https://jevlibrary.dev/projects/valentynkit-jev-belay): Claude Code Stop hook that blocks an unverified done: reads the transcript for evidence, asks Jev once, fails open on everything else - [pi-jev](https://jevlibrary.dev/projects/madeye-pi-jev): Jev-assisted file retrieval and request caching for faster Pi workflows - [jev-use](https://jevlibrary.dev/projects/shitianfang-jev-use): Claude Code / Codex / pi plugin that hands agent steps needing no text output to Jev (TypeSafe's judgment model) — measured p50 ~230 ms and ~$0.02 per 1,000 judgments, with typed escalation back to the LLM - [jev-dsh-decision](https://jevlibrary.dev/projects/devin-axis-jev-dsh-decision): Jev DSH 决策引擎｜面向 Agent Harness 的结构化决策插件。原生支持 DeepSeek Harness，通过 iPolloWork 支持 OpenCode、Codex Harness。 - [pi-jev-sentinel](https://jevlibrary.dev/projects/harshwasan-jev-sentinel): Pi coding-agent extension: TypeSafe Jev checks for tool calls, tool outputs and replies (prompt injection, approvals, secret scrubbing, task pinning) - [jev-router](https://jevlibrary.dev/projects/rajdhakad9826-jev-router): Cost-aware LLM router that picks the cheapest model capable of handling a query, using TypeSafe's Jev for fast classification instead of an LLM call. - [Canny](https://jevlibrary.dev/projects/qkal-canny): Stops AI coding agents from claiming work is done without evidence. Deterministic hooks decide, TypeSafe's Jev advises. Append-only ledger, zero runtime dependencies. - [hermes-jev-plugin](https://jevlibrary.dev/projects/ajensenwaud-hermes-jev-plugin): TypeSafe Jev (System One) decision tools for Hermes Agent: jev_check / jev_route / jev_score / jev_evaluate - [pi-jev (iefnaf)](https://jevlibrary.dev/projects/iefnaf-pi-jev): Pi extension suite powered by Jev: selective context compaction and model routing - [actiongate-jev](https://jevlibrary.dev/projects/omkarghugarkar007-actiongate-jev): Runtime authorization and guardrails for AI-agent tool calls with deterministic policy and TypeSafe Jev via OpenRouter. - [dsh-jev](https://jevlibrary.dev/projects/zhangxaochen-dsh-jev): Jev (System One decision model) plugin suite for DeepSeek Harness (dsh) - [pijev](https://jevlibrary.dev/projects/tonyzdev-pijev): PiJev: a terminal coding agent with Jev in the loop — Jev ranks the repository's files before the first call, picks skills and triages failures; your coding model writes the code. Built on Pi. - [jev-model-router (lucianfialho)](https://jevlibrary.dev/projects/lucianfialho-jev-model-router): Cost-optimized OpenRouter model router using TypeSafe's Jev, with a live full-catalog scorer instead of a hardcoded model list - [construct-auto-classifier](https://jevlibrary.dev/projects/godspede-construct-auto-classifier): Effect-based safety gate for AI coding agents' shell commands (OpenCode, Antigravity): fast structural rules, then TypeSafe's Jev or a chat model judges what a command does. Certified with Jev at zero dangerous commands allowed. - [jev-canvas](https://jevlibrary.dev/projects/gaborishka-jev-canvas): Draw on a tldraw canvas with your voice and a pointing finger. Jev (TypeSafe System One) decides action, target and place in ~350 ms per spoken word. - [windows-save-token-jev-setup](https://jevlibrary.dev/projects/455-diao-windows-save-token-jev-setup): Windows Codex Skill：通过 npx 或 Git 安装，安全配置 save-token-jev 的 PreCompact/SessionStart Hooks，并提供信任、原生压缩与旧内容隔离验证。 - [dgui-hypermem](https://jevlibrary.dev/projects/ctaxnagomi-dgui-hypermem): DGUI-HyperMem (DeckerGUI HyperMemory) - self-hosted hybrid memory MCP server on Cloudflare Workers with a JEV (Choice/Noul/Score) reasoning layer and a HuggingFace training-brain flywheel. - [agent-chaperone](https://jevlibrary.dev/projects/agent-chaperone-agent-chaperone): Screens an AI agent's tool calls before they run and tool results before the agent reads them. An MCP proxy plus a hooks adapter for a client's built-in tools. - [jev-organize](https://jevlibrary.dev/projects/nexibeo-jev-organize): Throw in a pile of company files and get them classified and organized by department, type, sensitivity, date, counterparty and PII, with an index for AI agents. Powered by TypeSafe's Jev on OpenRouter (17¢ per 1,000 files). Zero-dependency Node CLI + Claude skill + Codex agent. - [instruct-jev](https://jevlibrary.dev/projects/ctaxnagomi-instruct-jev): INSTRUCT_JEV - TypeSafe AI Jev / System One instruction corpus (choice/noul/score), compiled by DeckerGUI. 119 rows. Mirrored on HuggingFace. - [jev-model-router (Mandrilsquad1441)](https://jevlibrary.dev/projects/mandrilsquad1441-jev-model-router): Pick the best AI model and reasoning effort for any task in ~1s. Plugin for Claude Code, Claude Desktop and Codex, powered by TypeSafe's Jev decision model and live OpenRouter pricing. Balance intelligence, speed and cost, or choose your priority. - [stepwarden](https://jevlibrary.dev/projects/getexcited-stepwarden): Every tool call your agent makes, checked before it runs. A Claude Code plugin that uses TypeSafe AI's Jev to verify each pending tool call against the session plan, then allows it, asks you, or blocks it. Proof of concept - [Supercov](https://jevlibrary.dev/projects/supercorp-ai-supercov): Code quality and test coverage for coding agents: Jev scores each source file so the agent knows what to fix first. - [jev-commit](https://jevlibrary.dev/projects/valentynkit-jev-commit): Pre-commit hook: one Jev call judges whether your commit message matches the staged diff, plus debug leftovers, unmentioned work, and a credential check. - [DGP (Decision Graph Protocol)](https://jevlibrary.dev/projects/numerous-com-dgp): Experimental decision protocol whose Jev adapter evaluates framed evidence with typed choices, while application code validates permissions and commits simulated demo actions. - [slop-grader](https://jevlibrary.dev/projects/lukstei-slop-grader): Rule-based slop grader for text files powered by Jev: evaluates markdown against customizable rulesets, outputting violation flags and scores for an AI agent to auto-fix. - [jev-judge](https://jevlibrary.dev/projects/ohmyjiro-jev-judge): Dependency-free CLI and Codex skill that send local state to Jev for batched typed judgments and return answers without echoing the state. - [jev-firewall](https://jevlibrary.dev/projects/koushik890-jev-firewall): Real-time firewall for AI coding agents: a PreToolUse hook checks every Claude Code / Codex tool call with deterministic shell-aware rules, and unmatched actions go to Jev for a calibrated allow/ask/block that fails closed. - [taste-lint](https://jevlibrary.dev/projects/mblode-taste-lint): CLI that uses Jev to catch AI slop in UI, copy, and agent instructions before ship (probabilities on semantic taste checks). - [jev-engineering](https://jevlibrary.dev/projects/eugeniughelbur-jev-engineering): Decision layer for coding agents: deterministic rules before any model call, then one Jev request, as a Claude Code PreToolUse hook, an MCP server, a loopback service and a team policy that personal overrides can tighten but not loosen. Ships the 300-call injection kit behind its own numbers. - [magic-jev](https://jevlibrary.dev/projects/acharyaanusha-magic-jev): A Magic 8 Ball for pull requests: click the ball and it answers "should I approve this?" with one of the 20 classic phrases, chosen by Jev from the PR's real signals in about 200 ms. - [jev-gates](https://jevlibrary.dev/projects/rashedint32-jev-gates): Six hook gates for Claude Code that catch broken rules, out-of-scope edits, unfinished asks, and false claims, each judged by Jev against a fixed checklist and one piece of evidence. - [jev-code (rhighs)](https://jevlibrary.dev/projects/rhighs-jev-code): Interactive TypeScript coding CLI with typed routing, decision programs, and validated formal trees driven by Jev. - [Jev Auto Router](https://jevlibrary.dev/projects/minilv-jev-auto-router): Per-call GPT model routing for Codex: Jev chooses model and effort, a local Responses proxy keeps the tool loop intact, then independent verification and Router Compass check whether the task still passed. - [jev-lint](https://jevlibrary.dev/projects/mizchi-jev-lint): lint text in code by jev scorerer - [pi-jev-router (philippdubach)](https://jevlibrary.dev/projects/philippdubach-pi-jev-router): A minimal Pareto-optimal OpenRouter model router for pi, based on Jev - [JevLoop](https://jevlibrary.dev/projects/zjunlp-jevloop): The agent loop where decisions don't cost a large language model call. Zero deps, runs offline, no API key needed. - [jevcache (kushals256)](https://jevlibrary.dev/projects/kushals256-jevcache): Skip expensive LLM calls when TypeSafe Jev says same intent. OpenAI-compatible local cache proxy — npx @kushalicious/jevcache - [pi-jev-context-curator](https://jevlibrary.dev/projects/shashank-h-pi-jev-context-curator): A Jev based context curator for pi - [jev-spec](https://jevlibrary.dev/projects/nozomi-koborinai-jev-spec): ⚡ Catch spec drift on every commit: check your code against your Markdown specs with TypeSafe AI's Jev model. - [Jev-Mem](https://jevlibrary.dev/projects/libingzheren-jev-mem): Jev-Mem: System-One Controlled Agentic Memory - [jevtest (joshhu)](https://jevlibrary.dev/projects/joshhu-jevtest): 情緒測謊器：嘴上說「好」，心裡真的好嗎？用 TypeSafe Jev（System One 模型）透過 OpenRouter 即時判斷，並與一般 LLM 對照 - [nitro](https://jevlibrary.dev/projects/daniel-farina-nitro): Grok Build with TypeSafe Jev routing tool selection once per turn: 22 to 40% cheaper on the same tasks - [jev-model-router (satviksinha)](https://jevlibrary.dev/projects/satviksinha-jev-model-router): Model router for Claude Code using Jev - [jev-mcp](https://jevlibrary.dev/projects/rajasekharponakala-jev-mcp): MCP server wrapping TypeSafe's Jev System One models — typed noul/choice/score judgments for AI agents - [jev-mailroom](https://jevlibrary.dev/projects/selcukusta-jev-mailroom): Email triage PoC: reads a mailbox over IMAP and classifies each message by what it is and what it's about, using TypeSafe System One (Jev) — 11 questions in a single call, decided in Python. - [jev-rust-review](https://jevlibrary.dev/projects/kindintelligence-jev-rust-review): Rust-aware code review for Claude Code and coding agents, powered by TypeSafe Jev - [Jev-chooses-a-LLM](https://jevlibrary.dev/projects/bodila51-jev-chooses-a-llm): Jev Router for Cursor - TypeSafe Jev picks COST/BALANCED/INTELLIGENCE, Cursor executes - [jevymarket](https://jevlibrary.dev/projects/markusbug-jevymarket): Polymarket trading bot driven by Jev (TypeSafe AI) via OpenRouter - [jev-usecases](https://jevlibrary.dev/projects/kenhuangus-jev-usecases): Production TypeSafe Jev (System One) use-case harnesses with confidence-gated decision logic - [JevHarness](https://jevlibrary.dev/projects/tianyucodings-jevharness): LLM-authored task-specific Jev harnesses with optional full-trajectory reward reflection and GEPA evolution. - [dsh-jev-prune](https://jevlibrary.dev/projects/yangyu666-dsh-jev-prune): Jev-judged context compaction for DeepSeek Harness: semantic tool-result pruning + deterministic receipt compaction - [jev-layer](https://jevlibrary.dev/projects/typakon4-jev-layer): Portable System-1 decision layer for agent harnesses with host-owned routing, receipts, replay, and fail-open integrations. - [jev-wrapped](https://jevlibrary.dev/projects/gaborishka-jev-wrapped): Telegram channel X-ray: Jev judges a year of posts, you get a card. One Cloudflare Worker. - [jevskill](https://jevlibrary.dev/projects/lazniak-jevskill): Teach your coding agent to stop burning context. Jev (System One) via OpenRouter or TypeSafe: 325ms, 0.000013 USD per decision. A/B tested 99.3% fewer input tokens with accuracy up. Ships a reversible reduce and a ledger that learns when Jev pays off. - [jev-routing](https://jevlibrary.dev/projects/nekowasabi-jev-routing): Go Jev harness for Claude Code, Codex, and Grok Build. No npx. Not an MCP server. ## Browser & computer use (71 entries) Browser, desktop, and mobile automation with Jev choosing the action. - [Jev Ultrafast](https://jevlibrary.dev/projects/browser-use-jev-ultrafast): A browser agent that turns a single goal into a sequence of lightning-fast actions. - [typesafe-computer-use](https://jevlibrary.dev/projects/awlevin-typesafe-computer-use): Computer use for about $0.0002 a step: OCR the screen, classify the next action with TypeSafe, click. macOS. - [jev-browser (vlad-terin)](https://jevlibrary.dev/projects/vlad-terin-jev-browser): Jev-powered element selection for your agent’s existing computer-use tools - [unclutter](https://jevlibrary.dev/projects/kitze-unclutter): WXT browser extension: Jev-powered page clutter removal with reusable template rules. - [Mobile Jev](https://jevlibrary.dev/projects/droidrun-mobile-jev): An Android agent powered by Jev decisions, with a live studio to watch every step. - [jev-ego](https://jevlibrary.dev/projects/romaluev-jev-ego): TypeScript browser agent for ego lite: Jev Ultrafast indexed actions, TypeSafe Jev decisions, persistent observe/act CLI. No Chrome or Playwright. - [psearch](https://jevlibrary.dev/projects/komikat-psearch): Parallel web search for terminals and agents, with local Chromium and Jev-guided exploration. - [jev-browser (Ying-Kai-Liao)](https://jevlibrary.dev/projects/ying-kai-liao-jev-browser): Browser automation where an LLM plans and Jev (Typesafe System One) decides. Library, CLI and MCP server. - [computer_use](https://jevlibrary.dev/projects/paulsmith-computer-use-jev): macOS computer use driven by Jev (TypeSafe System One) as the decision maker - [sift](https://jevlibrary.dev/projects/tylergibbs1-sift): Chrome extension that re-ranks Google results with TypeSafe Jev and folds away sales pages and SEO filler. - [almond-fastloop](https://jevlibrary.dev/projects/eriestra-almond-fastloop): Almond-fastloop: Almond's browser computer-use rig (Chrome DevTools + TypeSafe Jev), and the Browser Use Olympics benchmark it is measured on. - [jev-mobile](https://jevlibrary.dev/projects/friedjof-jev-mobile): Fast structured Android control loops with TypeSafe Jev and Mobile MCP - [browser-use-olympics](https://jevlibrary.dev/projects/eriestra-browser-use-olympics): Browser Use Olympics by Almond: one prompt, five events, one clock. Plus fast loop, a ~200-line browser computer-use agent (Chrome DevTools + TypeSafe Jev). - [turbo](https://jevlibrary.dev/projects/sightmap-jev-turbo): Jev-powered semantic browser use - [sloppy-jevs-extension](https://jevlibrary.dev/projects/neddes-sloppy-jevs-extension): Open-source Chrome extension that filters AI-generated prose and ads with Jev - [barrunto](https://jevlibrary.dev/projects/elpumberto-barrunto): A Chrome extension that brings TypeSafe's Jev to X.com to analyze posts as you browse - [jev-browser (tontoko)](https://jevlibrary.dev/projects/tontoko-jev-browser): One grounded Jev/Playwright core: typed SDK, persistent CLI, and MCP server with native browser operations and deterministic assertions. - [jev-browser (MahmoudAdelbghany)](https://jevlibrary.dev/projects/mahmoudadelbghany-jev-browser): Jev-powered browser MCP for LLM agents — ~300ms decisions, no LLM tokens in the loop. Benchmark vs Playwright MCP included. - [jev-playwright-mcp](https://jevlibrary.dev/projects/krw82-jev-playwright-mcp): Jev-augmented Playwright MCP proxy — page-state triage, prompt-injection shielding, goal-based snapshot pruning, risky-action gating. Drop-in wrapper around @playwright/mcp for any coding agent. - [jev-browser (KesavanKing)](https://jevlibrary.dev/projects/kesavanking-jev-browser): Local browser automation UI that uses TypeSafe Jev to choose bounded page actions and a text model only for field values. - [otto](https://jevlibrary.dev/projects/noblespartan6-otto): Open-source native computer use for macOS and Windows: TypeSafe Jev, local OCR, and selective planning. - [JevTest](https://jevlibrary.dev/projects/coriew-jevtest): Bounded exploratory browser testing with Jev, deterministic assertions, and replayable evidence. - [jev-browse](https://jevlibrary.dev/projects/kyrylosyzonenko-jev-browse): Drives a real browser with Jev making every decision and Vercel's agent-browser performing every action, with a benchmark. - [jev-browser (vinilana)](https://jevlibrary.dev/projects/vinilana-jev-browser): Hybrid browser harness: an LLM turns goals into verifiable subgoals, Jev chooses each action and DOM field, Playwright acts. - [jev-browser](https://jevlibrary.dev/projects/jkudish-jev-browser): Browser use using Typesafe's Jev model - [typesafe-adblock](https://jevlibrary.dev/projects/realzachi-typesafe-adblock): 🧹 Fun project: a Chrome extension that asks a tiny AI decision model (TypeSafe Jev) "is this DOM element an ad?" and pops it off the page. BYOK, no backend, not a real ad blocker. - [jev-voice-browser](https://jevlibrary.dev/projects/moritzkremb-jev-voice-browser): Control a real browser by voice. Jev (TypeSafe System One) decides intent + target in ~300 ms per spoken word; Playwright acts — often before you finish the sentence. - [jev-browser-use](https://jevlibrary.dev/projects/wy-coliney-jev-browser-use): 5–10x faster browser operations: Jev clicks, Codex thinks and verifies. Built at EZCollegeApp. - [Jevbridge](https://jevlibrary.dev/projects/tacticocc-jevbridge): ACP and MCP adapter that bridges TypeSafe Jev with any LLM — computer use and typed decisions alongside Codex, Claude, Grok, and OpenCode. - [live-jev](https://jevlibrary.dev/projects/vinilana-live-jev): 2D autonomous car simulation in the browser, driven by TypeSafe's Jev decision model - [AskJev](https://jevlibrary.dev/projects/ranjan2829-askjev): AskJev — Jev autopilot for any website + guard on irreversible clicks (TypeSafe System One, not Claude) - [xtags](https://jevlibrary.dev/projects/manifoldor-xtags): 在 X 的时间线上，给每条帖子标出它想让你干什么。判断来自 Jev，一个只返回概率、不生成文本的模型。 - [jev-shield (vmendes90)](https://jevlibrary.dev/projects/vmendes90-jev-shield): Privacy-first Chrome extension that semantically blocks native ads, sponsored feed cards, and video ads using TypeSafe Jev - [jev-frontend-qa](https://jevlibrary.dev/projects/nainish-rai-jev-frontend-qa): Evidence-driven frontend QA built on Jev Ultrafast and Browser Harness, with a synthetic todo demo. - [vibecheck](https://jevlibrary.dev/projects/rafalwilinski-vibecheck): Chrome extension: vibe-check your X posts with TypeSafe's Jev before you hit Post - [x-scanner](https://jevlibrary.dev/projects/oso95-x-scanner): Chrome extension that labels every post you scroll past on X with typed Jev judgments and a live cost counter - [jot](https://jevlibrary.dev/projects/runta-dev-jot): The first general-purpose System One agent for Jev - [Jev Social](https://jevlibrary.dev/projects/socai-io-jev-social): Local Instagram, TikTok, and LinkedIn research where Jev chooses bounded socai browser operations and streams captured evidence into cited reports. - [jev-reviewer](https://jevlibrary.dev/projects/choxos-jev-reviewer): Data extraction for systematic reviews, quoted from the papers. Ask a trial report and its supplements your extraction form or a RoB 2, ROBINS-I, QUADAS-2 or TIDieR template; Jev points at the lines, every answer is a verbatim quote with its page, you check it and export the table. Files stay in your browser. - [jev-browse (0x7067)](https://jevlibrary.dev/projects/0x7067-jev-browse): Browser automation with Jev (TypeSafe) as decision model - [sift (bohutang)](https://jevlibrary.dev/projects/bohutang-sift): Chrome extension that labels every post on X (Substance · Humor · Chit-chat · Promo · Junk · AI-written) with TypeSafe Jev, and hides the ones you don't want. - [JevOnly](https://jevlibrary.dev/projects/buluoray-jevonly): Pure Jev that can "type" and drive towards task completion. - [jevarena](https://jevlibrary.dev/projects/raihankhan-rk-jevarena): JevArena — two Jev agents duel in click-only browser games (Browser Use + TypeSafe Jev) - [jev-block-android-ad](https://jevlibrary.dev/projects/ufec-jev-block-android-ad): JevNoiseGate filters unwanted notifications and SMS on Android. Rather than matching keywords, an LLM decides what's noise — and only what it explicitly flags is blocked. Verification codes are matched on-device and never uploaded; anything uncertain passes through. - [jev-windows-voice](https://jevlibrary.dev/projects/mstf-svndk-jev-windows-voice): Türkçe ve İngilizce doğal konuşmayla Windows 10/11 bilgisayar kontrolü: OpenAI Realtime, local Whisper, Jev, UI Automation ve Playwright. - [jevcumber](https://jevlibrary.dev/projects/rubybrewsday-jevcumber): Write Cucumber tests with just the .feature file. No step definitions — Jev (TypeSafe AI) resolves each Gherkin step and Playwright runs it. - [jev-ra](https://jevlibrary.dev/projects/brnyxx-jev-ra): Browser use for coding agents, 3-5x faster than browser-use. MCP server + CLI; TypeSafe Jev decides every step in ~300 ms. - [hermes-jev-skills](https://jevlibrary.dev/projects/kerpopule-hermes-jev-skills): Jev-powered model routing, memory, compaction, skill selection, computer and browser use for Hermes agents (also Claude Code and Codex) - [jev-for-chrome](https://jevlibrary.dev/projects/chy4pro-jev-for-chrome): Jev for Chrome: drives the tab you are looking at with TypeSafe Jev, a sub-second decision model. Community port of browser-use/jev-ultrafast, not affiliated with TypeSafe. - [jev-cookbook](https://jevlibrary.dev/projects/nexibeo-jev-cookbook): Practical, tested recipes for TypeSafe's Jev decision model on OpenRouter: support triage, database indexing, file organizing, tagging, taxonomies, dedupe, PII detection, extraction, search re-ranking and a browser agent. - [jev-ultrafast-mcp](https://jevlibrary.dev/projects/jiawei686-jev-ultrafast-mcp): Hand the browser work off: an MCP server where a decision model drives the page for your agent, so a flow costs one tool call instead of a turn per click. Ref-based element tables, code-checked assertions, zero-model macro replay. Speaks CDP to your Chrome. - [aside-jev](https://jevlibrary.dev/projects/himomohi-aside-jev): Aside agents decide with TypeSafe Jev (System One: Choice/Score/Noul). Not a Cua binding — Jev is the model, Aside is the browser runtime. - [jev-mail](https://jevlibrary.dev/projects/muhammedilyasy-jev-mail): Chrome extension that triages Gmail with TypeSafe's Jev model: category, priority, spam % and reply % on every email. - [jev-yt-time-saver](https://jevlibrary.dev/projects/jaibhasin-jev-yt-time-saver): A Chrome extension that covers distracting YouTube videos with Jev. Show anyway whenever you want. - [jev-builder](https://jevlibrary.dev/projects/collapseindex-jev-builder): A browser form for building requests to TypeSafe's Jev: pick a template, fill in the blanks, copy the request. No JSON, no install, runs locally. - [Winnow](https://jevlibrary.dev/projects/thinkyminer-winnow): Know before you click. A Chrome extension that reads articles and YouTube videos ahead of you and says read, skim, save, or skip — with a confidence, tuned to your goals. Open source, MV3, powered by Jev. - [keys-MiniMax-Code-CLI-Browser-Scroll-Context-Enhancement-Pack-with-Jev-Ultrafast-Integration](https://jevlibrary.dev/projects/drowzeys-keys-mcode-continuous-context-browser-decision-enhancement-pack): Validated enhancement pack for MiniMax Code CLI on arm64 DGX Spark + local GLM-5.3-EXL3: TUI scrollbar + context-meter patches, compaction repair for local vLLM, Jev Ultrafast + Playwright MCP browser integration, real usage ledger. - [Cerebellum-2B](https://jevlibrary.dev/projects/mkeco-cerebellum-2b): Non-Autoregressive AI Agent Decision Model. Open-source SOTA alternative to TypeSafe Jev. O(1) Tool Routing & DOM Automation on Qwen3.5-2B . - [jevplayground](https://jevlibrary.dev/projects/terryds-jevplayground): Browser-only playground for Jev (TypeSafe AI's decision model) via Vercel AI Gateway - [jev-skip](https://jevlibrary.dev/projects/valentynkit-jev-skip): Browser extension that reads the YouTube caption track and paints a per-segment sponsor probability on the seek bar before the intro ends, with no crowd database. - [jev-page-verdict](https://jevlibrary.dev/projects/torumitsutake-jev-page-verdict): Chrome extension that asks Jev whether the page you are on is selling something or reporting first-hand experience, and marks Google results with verdicts it already has or snippet-only estimates, leaving low-confidence ones undecided. - [jev-reach](https://jevlibrary.dev/projects/rashedint32-jev-reach): chrome-devtools-mcp plus one tool: Jev walks the browser to the right spot, then your agent makes a single devtools call there. - [jev-agent-browser](https://jevlibrary.dev/projects/forvela-jev-agent-browser): Fast, bounded browser agents powered by Jev and agent-browser — typed actions, research, classification, and safe orchestration. - [jev-test-filter](https://jevlibrary.dev/projects/mizchi-jev-test-filter): Score every test against a git diff with Jev, and emit the filter arguments vitest, node:test, Playwright, cargo test and go test already understand - [lkclean](https://jevlibrary.dev/projects/stefw-lkclean): Chrome extension that cleans up your LinkedIn feed: hides engagement bait, self-promo and off-topic posts using Jev, TypeSafe AI's typed classification model — and explains every decision. - [jev-weekend-shopping-chrome](https://jevlibrary.dev/projects/littlewindy123-jev-weekend-shopping-chrome): 把对双休的支持，带进每一次购物。逛淘宝、京东时，JEV 实时猜测商品背后的工作制，疑似非双休直接盖上 PASS。原页生效，边逛边选。 - [slop-filter](https://jevlibrary.dev/projects/adamnroman-slop-filter): Chrome extension that hides AI-generated posts and comments on X, LinkedIn, and Reddit. Scored by TypeSafe Jev. - [ego-jev](https://jevlibrary.dev/projects/zephyrdeng-ego-jev): Jev (TypeSafe System One) inner loop for ego-browser — one ~0.4s typed decision per DOM step instead of an LLM turn. Agent skill for ego lite. - [tweet-911](https://jevlibrary.dev/projects/elliothux-tweet-911): Real-time AI / solicitation / parrot-bot scores for X posts and replies. Chrome extension + Workers API on open-compute, judged by TypeSafe Jev. - [ego-jev (jiangkoumo)](https://jevlibrary.dev/projects/jiangkoumo-ego-jev): Drive the ego lite browser with Jev (TypeSafe System One): one indexed element table in, one operation + target out, single process. ~2x faster than a per-step LLM loop in our measurements. - [jev-browser-skill](https://jevlibrary.dev/projects/zurfyx-jev-browser-skill): Let Jev, TypeSafe's ~100ms decision model, drive your browser. A plug-and-play skill for Claude Code and Codex. ## Applications (90 entries) Products, tools, and pipelines that call Jev. - [Jev Trader](https://jevlibrary.dev/projects/jarrodwatts-jev-trader): One trading decision every Monad block. An experiment in real-time market intelligence. - [notra](https://jevlibrary.dev/projects/usenotra-notra): Marketing analytics platform whose feature flag routes brand-visibility classifiers off an LLM and onto Jev boolean decisions. - [commit-miner](https://jevlibrary.dev/projects/devanshbatham-commit-miner): Classify Git commit diffs and messages with Jev. Bug fixes, security fixes/CWEs, and change types. - [blink](https://jevlibrary.dev/projects/ellipsis-dev-blink): Codebase search powered by Jev from @typesafe-ai - [Jev-Moderation-Bot](https://jevlibrary.dev/projects/brainstormity-jev-moderation-bot): Real-time Discord moderation bot: Jev evaluates messages and metadata in parallel to catch phishing, spam, and social engineering with a progressive escalation ladder. - [ai-elo-ranker](https://jevlibrary.dev/projects/opaielsheikh-ai-elo-ranker): High-speed recursive AI Elo tournament engine powered by Jev and Swiss matchmaking - [typesafe-cli (y0usaf)](https://jevlibrary.dev/projects/y0usaf-typesafe-cli): Ask Jev typed questions from the shell: noul, choice, and score answers as numbers, not prose - [jevmeter](https://jevlibrary.dev/projects/chetaslua-jevmeter): Put a live Jev (TypeSafe) meter on any video: every sentence scored, rendered as a 16:9 edit - [jevlogs](https://jevlibrary.dev/projects/reachjalil-jevlogs): Open-source Jev log triage for OpenTelemetry. Score the signal before expensive LLM analysis. - [semdecide](https://jevlibrary.dev/projects/sharziki-semdecide): Typed semantic decisions for Unix pipelines and CI, powered by TypeSafe AI Jev. - [jevibe-check](https://jevlibrary.dev/projects/sriganesh-jevibe-check): A live tone labeler for Bluesky posts and drafts, using TypeSafe's Jev API. - [commentcop](https://jevlibrary.dev/projects/ntedvs-commentcop): Put your code comments on trial. Powered by Jev. - [jev-cli](https://jevlibrary.dev/projects/jtsang4-jev-cli): CLI for TypeSafe AI's Jev evaluation model — typed questions in, structured JSON answers out - [JevTicktRouter](https://jevlibrary.dev/projects/ghrezakh74-jevticktrouter): A .NET 10 and React 19 application for fast, structured AI-powered ticket triage using TypeSafe Jev. - [draftpulse](https://jevlibrary.dev/projects/pekth-draftpulse): Experimental: live X draft viral scorer powered by TypeSafe Jev - [jev-document-classification](https://jevlibrary.dev/projects/charlyhno-eng-jev-document-classification): JEV Document Classification enables the rapid and cost-effective classification of text-based documents using AI, leveraging TypeSafe's "System One" model. - [typesafe-jev](https://jevlibrary.dev/projects/gtaras7-typesafe-jev): Screen a folder of CVs with the TypeSafe Jev decision model: typed judgments, an editable policy, free re-scoring. - [typesafe-triage-guard](https://jevlibrary.dev/projects/shivam2003-dev-typesafe-triage-guard): Three composable judgment pipelines on TypeSafe's Jev: support-ticket triage, observability alert triage, and a deploy-risk gate. - [jevegis](https://jevlibrary.dev/projects/0xarx-jevegis): Guardrails for LLM apps in one API call. Prompt injection, jailbreaks, leaks, unsafe content. Built on TypeSafe Jev. MIT. - [citation-verifier](https://jevlibrary.dev/projects/marissafamularo-citation-verifier): Check whether each cited paper supports the sentence citing it. Claude proves the quote, TypeSafe's Jev scores it, a human decides. - [jev-rerank](https://jevlibrary.dev/projects/hev-reranker): Use Jev (TypeSafe's System One model) as a calibrated reranker: one call, up to 30 documents, a probability per document. Apache-2.0. - [emoji-jev](https://jevlibrary.dev/projects/colinmcdermott-emoji-jev): Emoji autocomplete at the speed of typing. TypeSafe AI Jev on a Whop-hosted TanStack Start app. - [jev-resume-analyzer](https://jevlibrary.dev/projects/awun8191-jev-resume-analyzer): CV diagnostics and job alignment with TypeSafe Jev, React and FastAPI - [jev-audio-beeper](https://jevlibrary.dev/projects/santos-sanz-jev-audio-beeper): Low-latency audio censorship POC using Jev typed decisions and ffmpeg. - [every](https://jevlibrary.dev/projects/sufianetaouil-every): Ask a yes/no question of every function in a codebase. Ranked answers in seconds, for cents. Grep whose pattern is a question, powered by TypeSafe Jev. - [btc-jev-signal](https://jevlibrary.dev/projects/webgrga-btc-jev-signal): Experimental multi-horizon BTC signal generator using TypeSafe Jev probabilities and Binance market data. - [scam-shield](https://jevlibrary.dev/projects/shupingr-scam-shield): Scam text message filter powered by TypeSafe's Jev model - [typesafe-comment](https://jevlibrary.dev/projects/hexdigest123-typesafe-comment): Small Python package that uses typesafe.ai to evaluate code comments on certain heuristics - [transcript-scorecard](https://jevlibrary.dev/projects/brandonbryant12-transcript-scorecard): ACME live support-call scoring demo with TypeSafe AI, Effect, SQLite, React, Vite, and Turborepo - [mimicry](https://jevlibrary.dev/projects/jxucoder-mimicry): Rewrite AI drafts in your own voice with a bounded TypeSafe feedback loop. - [s1s](https://jevlibrary.dev/projects/cpaczek-s1s): System One Search: navigate and trace code with TypeSafe judgments and repository evidence - [pkg-gate](https://jevlibrary.dev/projects/hemanth-pkg-gate): Pre-install security gate for npm lifecycle scripts using TypeSafe System One. - [Jev Classifier](https://jevlibrary.dev/projects/jev-classifier): Local Telegram channel JSON analyzer for intent, quality, sentiment, and speaker tone. - [dmx.to](https://jevlibrary.dev/projects/dmx-to): X client with Jev smart rules that filter the timeline by usefulness, type, and topic. - [Jev-Trades](https://jevlibrary.dev/projects/zadescoxp-jev-trades): Trading bot with the all new TypeSafe AI's first system one model named as Jev - [jev-trade](https://jevlibrary.dev/projects/aowang-ai-jev-trade): Live Jev trader on Hyperliquid - [jev-grug](https://jevlibrary.dev/projects/mkotlikov-jev-grug): Helping JEV speak <3 - [refgarden](https://jevlibrary.dev/projects/albionahoti-refgarden): A spatial reference explorer for creators. Local Jev query choices, metadata highlights and source-linked collections. - [jev-cli (tumf)](https://jevlibrary.dev/projects/tumf-jev-cli): Small dependency-free CLI for TypeSafe Jev - [smart-switch](https://jevlibrary.dev/projects/reycn-smart-switch): Reimagined window switcher for macOS using frontier artificial intelligence. Predicted by TypeSafe's Jev model - [jev-tree](https://jevlibrary.dev/projects/reachjalil-jev-tree): Recursive Jev choice over a taxonomy. Select from more than 255 options without breaking TypeSafe Jev's choice cap. - [jevsql](https://jevlibrary.dev/projects/eugeneboondock-jevsql): SQL with natural-language predicates, powered by TypeSafe's Jev. Filter, rank, classify and score rows by meaning — batched, cached and cost-guarded. - [jevocks](https://jevlibrary.dev/projects/unicodeveloper-jevocks): Everyday Stocks Status with Jev - [Jackalope](https://jevlibrary.dev/projects/jackalope-dev-jackalope): Desktop GUI for agentic coding that routes tasks across local agents and accounts, with Jev picking the best agent per task, running basic code-review checks, and supplying context. - [jeff](https://jevlibrary.dev/projects/logan-markewich-jeff): A self-hosted drop-in replacement for TypeSafe's jev, powered by GliFormer. - [invalidate](https://jevlibrary.dev/projects/chopratejas-invalidate): The invalidation layer for AI memory. Every fact gets a lease; new evidence ends it. Built on TypeSafe Jev. - [jev-mac-voice](https://jevlibrary.dev/projects/brudarko-jev-mac-voice): English full-duplex voice control for macOS with OpenAI Realtime, native Accessibility, and Jev. - [jev-voice](https://jevlibrary.dev/projects/kevinbadi-jev-voice): Talk to your Mac. Local whisper.cpp + one Jev (TypeSafe) call per command + macOS automation. - [jev-semgrep](https://jevlibrary.dev/projects/uehaj-jev-semgrep): grep by meaning, across languages. TypeSafe Jev scores every line against a meaning; combine meanings with AND/OR/NOT. 意味で探す grep。日本語で英語を、英語で日本語を検索できる - [ai-provider-for-jev](https://jevlibrary.dev/projects/soderlind-ai-provider-for-jev): Connect WordPress to TypeSafe's Jev System One model for structured decisions (choice, score, noul). - [jev-cvss](https://jevlibrary.dev/projects/red5d-jev-cvss): Fast CVSS scoring from vulnerability descriptions using Typesafe Jev - [jevify (Mintzs)](https://jevlibrary.dev/projects/mintzs-jevify): An optimized inference engine to turn LLMs into Jev-like machines: optimized for quick, lightweight, and accurate decision-making, classification, and scoring - [jev-pr-labeler](https://jevlibrary.dev/projects/1jehuang-jev-pr-labeler): Semantic GitHub PR labels using Jev's typed decisions, with conceptual scope instead of line counts - [simple-jev](https://jevlibrary.dev/projects/featherless-ai-simple-jev): Turn any open model into a classifier/jev endpoint - [LLM2Jev](https://jevlibrary.dev/projects/yinsongxu-llm2jev): Adapt local language models into Jev-compatible structured decision engines with Choice, Score, and Noul outputs powered by prefill-only binary inference. - [jev-mail-classifier](https://jevlibrary.dev/projects/parth-kp-jev-mail-classifier): Classify your inbox with Jev (TypeSafe's System One model) — tag, move, flag, and notify, all config-driven. - [jev-gmail-ai-spam-filter-and-labeling](https://jevlibrary.dev/projects/ilyamk-jev-gmail-ai-spam-filter-and-labeling): Self-hosted AI email classifier for Gmail powered by Jev. Create custom labels, organize your inbox, and filter spam with confidence and cost controls. - [jev_jsonschema](https://jevlibrary.dev/projects/kiln-ai-jev-jsonschema): Run a JSON Schema through TypeSafe's Jev API, and get JSON back. - [jev_antispam_bot](https://jevlibrary.dev/projects/backmeupplz-jev-antispam-bot): Minimal grammY Telegram anti-spam bot powered by TypeSafe Jev - [jev.nvim](https://jevlibrary.dev/projects/valentynkit-jev-nvim): Neovim plugin that asks the buffer a plain-language question: Treesitter splits it into functions, Jev scores each one, and answers land in quickfix ranked by probability. - [jev-align (Sutro)](https://jevlibrary.dev/projects/sutro-sh-jev-align): Active-learning CLI that uses human labels and GEPA to improve Jev decision definitions - [jev-logtriage](https://jevlibrary.dev/projects/jyatesdotdev-jev-logtriage): Jev scores collapsed log batches; code maps answers to suppress, watch, review, notify, or page. Nothing is executed. - [jev-A-share-trader](https://jevlibrary.dev/projects/eric-zhou-0302-jev-a-share-trader): Local A-share technical analysis using Jev Choice and Noul questions to assess direction and volatility across two horizons, with evidence for Buy/Hold/Sell assessments and no order execution. - [nlgrep](https://jevlibrary.dev/projects/yehuitang0316-jev-nlgrep): TypeScript CLI that finds code, docs, logs, and text by natural-language conditions using Jev Noul judgments, with probability thresholds, source lines, and cached results. - [jselect](https://jevlibrary.dev/projects/keltokhy-jselect): Selects source-linked evidence within a token budget using Jev Noul relevance judgments and local diversity-aware selection. - [jlink](https://jevlibrary.dev/projects/keltokhy-jlink): Links records under a plain-English match rule using Jev Noul pair judgments, with local candidate blocking and match resolution. - [Jev-AV](https://jevlibrary.dev/projects/newuser7171-antivirus): Antivirus scanner and real-time defense sentinel: extracts structural features from executables, scripts, and documents (entropy, hashes, strings, PE imports) and has Jev judge whether each is malicious. - [OpenDecision](https://jevlibrary.dev/projects/deepanwadhwa-opendecision): OpenDecision is an open-source semantic decision engine like typesafe's jev. - [Jev-Quantum](https://jevlibrary.dev/projects/karminski-jev-quantum): 亚微秒级 System-1 模型，准确率服从高斯分布 - [twitter-jev-guard](https://jevlibrary.dev/projects/qs-lll-twitter-jev-guard): 使用 TypeSafe Jev 在 X/Twitter 时间线上识别低质量、垃圾和广告帖子，并在文字区域显示醒目的半透明水印。 - [jev-leftpad](https://jevlibrary.dev/projects/f-jev-leftpad): Left-pad strings with TypeSafe AI's Jev. For reasons. - [dohnuts](https://jevlibrary.dev/projects/psiace-dohnuts): Dohnuts builds small multimodal models for direct decisions. -> System One model - [jev-minesweeper](https://jevlibrary.dev/projects/comoc-jev-minesweeper): TypeSafe Jev (System One) にブラウザ上のマインスイーパーを解かせるデモ - [jev-reranker](https://jevlibrary.dev/projects/hotchpotch-jev-reranker): Jev-powered relevance filtering and reranking for RAG in Python. - [semantic-live-caption](https://jevlibrary.dev/projects/limboinf-semantic-live-caption): 听写纸 · Real-time speech captions with live semantic annotation (key points / emotion / intent) — Confucius4-R2T2 + TypeSafe Jev + DeepSeek - [Jev-Register-Tool](https://jevlibrary.dev/projects/2951461586-jev-register-tool): TypeSafe（Jev / System One）申请 → 确认邮件 → 获批 → 注册 → 建 API Key 全链路工具，纯 HTTP 无浏览器 - [jev-resume-disqualifier](https://jevlibrary.dev/projects/aipersonacademy-jev-resume-disqualifier): Jev Resume Disqualifier: Sub-25ms automated resume knockout engine powered by TypeSafe Jev System One decision intelligence. Eliminates 80% of unqualified applicants with deterministic date math & EEOC-safe rejection notices. - [typesafe-go](https://jevlibrary.dev/projects/sd109-typesafe-go): A collection of typesafe.ai API utilities - [jevflow](https://jevlibrary.dev/projects/mawfyy-jevflow): Probabilistic AI decisions as composable backend primitives — typed judgments (noul/score/choice), deterministic thresholds, and explainable workflows. Powered by TypeSafe's Jev, provider-agnostic. - [jev-docs-zh](https://jevlibrary.dev/projects/bald0wang-jev-docs-zh): Jev 模型（TypeSafe AI）官方使用文档的中文翻译 | Unofficial Chinese translation of the official Jev (TypeSafe AI) docs — https://docs.typesafe.ai - [verdict](https://jevlibrary.dev/projects/khimaros-verdict): turn any llama-server into a jev system one endpoint - [systemone-lite](https://jevlibrary.dev/projects/fritzprix-systemone-lite): Toy local System One–style decision API (Jev-shaped). Not affiliated with TypeSafe. - [llm-to-jev](https://jevlibrary.dev/projects/alexwestco-llm-to-jev): Convert LLM prompts to Jev prompts - [jev-voice-control](https://jevlibrary.dev/projects/chris-wozniczek-jev-voice-control): Control your Mac by voice. Speech → Jev (TypeSafe AI System One model) typed decisions → macOS actions. Menu-bar Swift app. - [hearth-jev-rental-search](https://jevlibrary.dev/projects/nancy-chauhan-hearth-jev-rental-search): Autonomous multi-source rental search powered by TypeSafe Jev - [jev-reranker (shinpr)](https://jevlibrary.dev/projects/shinpr-jev-reranker): Rerank, filter, and compress JSON search results with TypeSafe AI's Jev. - [jevstudio](https://jevlibrary.dev/projects/inteligenciamilgrau-jevstudio): Jev Studio para criar programas usando Jev da TypeSafe - [pagegrade](https://jevlibrary.dev/projects/kitze-pagegrade): Grade page sections for clarity, writing and on-page SEO. WXT + TypeSafe AI Jev. - [jev-rs](https://jevlibrary.dev/projects/yijunyu-jev-rs): System One judgments (noul/choice/score) from any LLM in one prefill — a Rust, Jev-compatible /v1/systemone engine - [jev-lm (uhhfeef)](https://jevlibrary.dev/projects/uhhfeef-jev-lm): A character-level language model built on Jev, a System One classifier ## Games & simulations (61 entries) Games and simulations with Jev making the moves. - [Jev plays Mario](https://jevlibrary.dev/projects/fhshaik-typesafe-mario): Less talking. More jumping. Watch Jev navigate Super Mario Bros. from game state. - [jev-drone](https://jevlibrary.dev/projects/romanslack-jev-drone): Camera-only autonomous drone in MuJoCo with a small judgment model (TypeSafe Jev) in the loop at 2.5Hz - [typesafe-snake](https://jevlibrary.dev/projects/sorrycc-typesafe-snake): Snake auto-played by TypeSafe's Jev model: one System One choice per tick, legal moves and facts generated in code - [tsai-sc](https://jevlibrary.dev/projects/phyous-tsai-sc): TypeSafe Jev controls original StarCraft shareware through keyboard and mouse with recorded action probabilities. - [mario-jev](https://jevlibrary.dev/projects/shantanugoel-mario-jev): Python prototype that plays NES Super Mario Bros. from structured RAM observations, with Jev answering focused movement and jump questions. - [rubikjev](https://jevlibrary.dev/projects/0xtrou-rubikjev): Challenge the Jev's intelligence in Rubik Cube puzzles - [OneVOneJev](https://jevlibrary.dev/projects/emrickgarrett-onevonejev): 1v1 Jev quickscope arena — Three.js + TypeSafe System One - [casse-brique-typesafe](https://jevlibrary.dev/projects/para-fr-casse-brique-typesafe): A Next.js brick breaker whose paddle is controlled in real time by TypeSafe AI's Jev model. Built with Claude Code. - [pong-jev](https://jevlibrary.dev/projects/safzanpirani-pong-jev): TypeSafe's Jev plays Atari Pong. One typed Choice question per frame, no coordinates sent to the model. - [cyber-breach-jev](https://jevlibrary.dev/projects/rchovatiya88-cyber-breach-jev): Cyber-Breach: The Jev Protocol - A tactical cyberpunk arena combat game powered by TypeSafe AI Jev System One decision model - [Agent-JEV-Tetris](https://jevlibrary.dev/projects/yasserbhb-agent-jev-tetris): using the new model JEV to play the game tetris - [last-exit](https://jevlibrary.dev/projects/0x963d-last-exit): A cyberpunk border encounter powered by TypeSafe Jev. Bluff the guard. Inspect the receipts. - [heist-one](https://jevlibrary.dev/projects/abdelstark-heist-one): Observable browser stealth game: Jev makes typed guard judgments while deterministic code owns the world. - [beatjev](https://jevlibrary.dev/projects/lambertsj-beatjev): Browser game: try to beat Jev at spotting a spam message. - [pdoom-protocol](https://jevlibrary.dev/projects/onionminionops-beep-pdoom-protocol): USER + JEV: P(DOOM) PROTOCOL — co-op platform shooter where TypeSafe Jev plays alongside you - [jev-games](https://jevlibrary.dev/projects/shantanugoel-jev-games): Visual Jev lab for multiple games and emulator platforms - [jev.mods](https://jevlibrary.dev/projects/hardel-dw-jev-mods): Minecraft mod where Jev tries to finish the game from scratch without a scripted route. - [jev-play-ping-pong](https://jevlibrary.dev/projects/icohen007-jev-play-ping-pong): Jev plays browser table tennis in real time: structured telemetry, typed decisions, ordinary Chrome inputs, and auditable evidence. - [jev-gomoku](https://jevlibrary.dev/projects/mizchi-jev-gomoku): MoonBit client for Jev plus a Jev-vs-Jev gomoku match, with timing logs. - [typesafe-3d-chess](https://jevlibrary.dev/projects/malduffin-typesafe-3d-chess): 3D chess powered by TypeSafe AI (Jev). AI vs AI by default, or play either side. Multiple difficulty levels. - [jev2048](https://jevlibrary.dev/projects/kylekreuter-jev2048): Let Jev (TypeSafeAI) solve 2048 - [river-oaks](https://jevlibrary.dev/projects/bunsdev-river-oaks): NPCs of River Oaks Houston, Texas using Jev to power NPCs - [hundred](https://jevlibrary.dev/projects/jammaru-jev-lab): 100 AI NPCs live in a tiny town. Jev chooses the next action; the world writes the story. - [snake-jev](https://jevlibrary.dev/projects/siroccomask-snake-jev): Snake controlled by parallel Jev assessments, with one API call per game tick. - [jev-askable-arm](https://jevlibrary.dev/projects/taruntomar122-jev-askable-arm): Zero-shot English goals on a sim Franka. Jev chains hardcoded primitives. - [jev-doom-agent](https://jevlibrary.dev/projects/lukaske-jev-doom-agent): A browser-native Doom agent experiment with structured spatial state, composable AI controls, live decision telemetry, and a Chocolate Doom WebAssembly runtime. - [typesafe-chess](https://jevlibrary.dev/projects/tholeg-typesafe-chess): Chess where both players are TypeSafe's Jev model: every move is a typed Choice decision - [jev-snake](https://jevlibrary.dev/projects/iammusham-jev-snake): An experimental Snake environment where the game engine owns deterministic rules and TypeSafe AI's Jev makes the movement decision from structured state on every tick. - [jev-tetris](https://jevlibrary.dev/projects/machinelearning-nerd-jev-tetris): A visual TypeSafe demo where Jev chooses verified Tetris placements. - [ps2-ai-agent](https://jevlibrary.dev/projects/opaielsheikh-ps2-ai-agent): Autonomous PlayStation 2 AI Agent with real-time visual telemetry HUD powered by TypeSafe Jev System One - [jev-bfs](https://jevlibrary.dev/projects/komikat-jev-bfs): Wikipedia link races with direct Jev ranking and a live terminal display. - [shady-town](https://jevlibrary.dev/projects/tpaulshippy-shady-town): Shady Town: social-deduction party game for the living room TV, moderated by TypeSafe Jev - [tsai-civ2](https://jevlibrary.dev/projects/phyous-tsai-civ2): TypeSafe Jev plays original Civilization II in a browser, with live action probabilities. Experimental full-game harness. - [roverlab](https://jevlibrary.dev/projects/juancamiloqhz-roverlab): A 3D planetary rover sandbox for experimenting with autonomous decisions using TypeSafe AI. - [river-run-typesafe](https://jevlibrary.dev/projects/ashaazami-river-run-typesafe): River shooter game in Python, inspired by Atari's River Raid, played by a TypeSafe AI pilot - [typesafe-minecraft-demo](https://jevlibrary.dev/projects/ellistev-typesafe-minecraft-demo): A Minecraft Java player controlled by TypeSafe AI, with live decisions, Canadian flag building, and a side-by-side dashboard. - [terrarium](https://jevlibrary.dev/projects/thegali-terrarium): A sandbox where a TypeSafe System One model presses the controls of a small creature. Code runs the world. - [siege](https://jevlibrary.dev/projects/vnmoorthy-siege): SIEGE: 200 people vs one agent. A typed action gate (TypeSafe System One) that learns from every breach, evaluated by W&B Weave, hardened by a defender loop. Built at CoreWeave Hacks: Agent Loops 2026. - [jev-t-rex-runner](https://jevlibrary.dev/projects/joshlarsen-jev-t-rex-runner): Chrome dino game played by Typesafe AI Jev model - [Jev Tetris](https://jevlibrary.dev/projects/jev-tetris): Jev picks rotation and column from holes, stack height, and bumpiness. - [Jev Pac-Man](https://jevlibrary.dev/projects/jev-pac-man): The maze as JSON; Jev picks the turn at each junction in real time. - [Hollow Creek](https://jevlibrary.dev/projects/hollow-creek): Village NPCs that judge you each tick, deciding what to do and how they feel, instead of chatting. - [Jev Driving Lab](https://jevlibrary.dev/projects/kavehmz-typesafe-playground): Interactive experiments from support routing to a 3D driving simulation: structured sensor state in, typed steer, brake, and overtake decisions out. - [Jev Arcade](https://jevlibrary.dev/projects/jev-arcade): Krunker-style 1v1 FPS where Jev decides move, aim, ADS, fire, and jump at about 9 Hz. - [Game Plan](https://jevlibrary.dev/projects/game-plan): Small game that tests how Jev handles unknown input. - [Jev board games](https://jevlibrary.dev/projects/jev-board-games): Playable board games driven by Jev decisions. - [chess-jev](https://jevlibrary.dev/projects/chess-jev): 3D chess where Jev plays both sides, or you jump in. - [jev-gomoku (XieChengYuan)](https://jevlibrary.dev/projects/xiechengyuan-jev-gomoku): 弈瞬：双 Jev 五子棋九宫格输入实验台，逐手查看模型决策，支持真实对局回放与实时对战。 - [jev-reflex-autonomy-lab](https://jevlibrary.dev/projects/khordoo-jev-reflex-autonomy-lab): Multi-drone autonomy lab demonstrating TypeSafe Jev reflex decisions with optional System 2 strategy guidance. - [jev2048 (erhanmeydan)](https://jevlibrary.dev/projects/erhanmeydan-jev2048): TypeSafe'in Jev karar modeli gerçek bir online 2048 sitesinde oynuyor — hamle başına tek API çağrısı, tek anahtar. - [jev-tetris (trungdq88)](https://jevlibrary.dev/projects/trungdq88-jev-tetris): Jev play Tetris in real-time against other AI models - [embodied-jev](https://jevlibrary.dev/projects/fbddcz-embodied-jev): EmbodiedJev: MuJoCo robot decision workbench with MiniCPM5-2B, Jev and compatible model APIs - [jev-libero](https://jevlibrary.dev/projects/dimweaker-jev-libero): Fine-grained robot control with Jev, physics previews, and configurable LIBERO tasks. - [jevball](https://jevlibrary.dev/projects/atarikcaliskan-jevball): 22 Jev models, one ball: a 3D football match where every player is its own Jev (TypeSafe AI System One) decision. Watch, or take over the number 9. - [gg-friggin-ez](https://jevlibrary.dev/projects/itisshikhar-gg-friggin-ez): Fast, drop-in profanity and toxicity screener for Node.js, powered by TypeSafe AI Jev. Catches leetspeak, character spacing, and romanized profanity across languages including Kannada, Telugu, Tamil, Hindi, and Bengali. ~50-500ms latency. - [jev-plays-pokemon-red](https://jevlibrary.dev/projects/valentynkit-jev-plays-pokemon-red): Pokemon Red on PyBoy where code owns the route and the arithmetic, Jev only picks at branches, and every battle turn's faint prediction is scored by Brier against RAM state. - [PlayJev](https://jevlibrary.dev/projects/omnijev-playjev): Play ten browser games from the screen with a 0.8B open model that returns a probability over the game's legal moves in one forward pass, no text generated. - [RoboJEV](https://jevlibrary.dev/projects/lykycy123-robojev): Two-stage JEV control of a Franka Panda in MuJoCo - [agi-jev-containment](https://jevlibrary.dev/projects/carlosedm10-agi-jev-containment): AGI JEV Detection — local AI agent monitor: chain-level malicious-agent detection (TypeSafe Jev + Sentinel), escalate-only L1–L5 containment, Neo4j forensics, AngryRobot dashboard. HackSpain 2026. - [jev-grand-prix](https://jevlibrary.dev/projects/enoyola-jev-grand-prix): An F1 racing game where TypeSafe's Jev picks the racing line and the pedals, and learns each corner's limit between laps - [jev-arena-nanojev](https://jevlibrary.dev/projects/liao96312-jev-arena-nanojev): 完全本地的 NanoJev 网格决策游戏实验场，支持中文 Pygame、多关卡与 GTX 1660S 训练 ## Demos & playgrounds (73 entries) Live demos and playgrounds. - [jev-me](https://jevlibrary.dev/projects/jon-devlapaz-jev-me): A grill-me style interrogation of your idea, with Jev doing the grilling. - [typesafe-ai-playground (BunsDev)](https://jevlibrary.dev/projects/typesafeai-typesafe-playground): Community TypeSafe AI playground: 110 use cases, games, dilemmas and model challenges, with editable prompts, A/B comparisons and a mobile-friendly UI. - [jev-system-one](https://jevlibrary.dev/projects/haseeb-heaven-jev-system-one): A polished OpenAI + TypeSafe Jev terminal interface for answers with transparent decision reports - [jev-playground (Little-Planet-Labs)](https://jevlibrary.dev/projects/little-planet-labs-jev-playground): A small Next.js app for experimenting with TypeSafe AI's Jev model (System One) - [clarity-judge](https://jevlibrary.dev/projects/typesafeai-clarity-judge): Multi-axis writing quality checker powered by TypeSafe AI's Jev model. Separate named checks, each with its own verdict and confidence. - [gpt-vs-jev](https://jevlibrary.dev/projects/tanaypadar-gpt-vs-jev): Compare GPT generated language with JEV structured Noul decisions on the same input. - [harden-jev-decides](https://jevlibrary.dev/projects/tylerjharden-harden-jev-decides): JEV picks which stream idea becomes the live MVP. TypeSafe System One decision board. - [typesafe-ai-playground (markjaquith)](https://jevlibrary.dev/projects/markjaquith-typesafe-ai-playground): A playground for experiments around Jev, TypeSafe's System One model. - [got-jev](https://jevlibrary.dev/projects/phureewat29-jev-got): Jev (TypeSafe AI) PoC through Game of Thrones - [jev-should-i-apply](https://jevlibrary.dev/projects/cardotrejos-jev-should-i-apply): Typesafe/Jev public X demo - [jev-user-jury](https://jevlibrary.dev/projects/cardotrejos-jev-user-jury): Typesafe/Jev public X demo - [jev-ad-preflight](https://jevlibrary.dev/projects/cardotrejos-jev-ad-preflight): Typesafe/Jev public X demo - [jev-dev](https://jevlibrary.dev/projects/n-yokomachi-jev-dev): 同じ発言を jev と LLM の両方に判定させ、感情の変動値のズレと応答速度を1画面で見比べるデモ（affectus + Vercel AI Gateway） - [Jev Gamecast](https://jevlibrary.dev/projects/narulaskaran-jev-data-questions): Jev Gamecast: replay-first React app that asks Jev typed questions about live sports data. - [jev-paper-judge](https://jevlibrary.dev/projects/jacoblincool-jev-paper-judge): Feedback on your paper in seconds. - [human-compiler](https://jevlibrary.dev/projects/asfarsadewa-human-compiler): A compiler for human language. Paste text, get diagnostics. Measured by TypeSafe Jev. - [killmyidea](https://jevlibrary.dev/projects/monteduro-killmyidea): Describe your startup idea. Jev decides: kill it, fix it or ship it. - [Search-Function-Test](https://jevlibrary.dev/projects/shifros-search-function-test): A test project based on Jev AI, the goal is to build a search function for a blog/article website that has 100s of articles to search from, So the user can actually use the search as chat to question anything and find related answers/articles - [jev-bun1](https://jevlibrary.dev/projects/heiwa4126-jev-bun1): TypeSafe の Jev を TypeScript SDK で使ってみる最初の 1 歩 - [jevplay](https://jevlibrary.dev/projects/ndolinschi-jevplay): TypeSafe Jev playground — custom Choice/Score/Noul builder with live distributions - [mcpmatch](https://jevlibrary.dev/projects/ndolinschi-mcpmatch): Match user goals to MCP catalog (two-stage) via TypeSafe Jev - [spendbrake](https://jevlibrary.dev/projects/ndolinschi-spendbrake): Agent budget brake — continue / downgrade_model / stop via TypeSafe Jev - [harnessjudge](https://jevlibrary.dev/projects/ndolinschi-harnessjudge): Judge agent steps — ok / retry / escalate / stop via TypeSafe Jev - [swarmrouter](https://jevlibrary.dev/projects/ndolinschi-swarmrouter): Route tasks to research/code/browser/support/writer agents via TypeSafe Jev - [toolgate](https://jevlibrary.dev/projects/ndolinschi-toolgate): Agent tool/MCP call gate — allow / ask_human / deny via TypeSafe Jev - [jev-playground (wustep)](https://jevlibrary.dev/projects/wustep-jev-playground): Can a System One model steer music? Jev picks the plan (enums only); code renders sheet, audio and MIDI. - [guard-jev](https://jevlibrary.dev/projects/norbertbodziony-guard-jev): Comment-moderation playground: paste a comment, Jev decides what to do with it. - [hiresignal](https://jevlibrary.dev/projects/ndolinschi-hiresignal): HireSignal — resume first-pass fit+interview via TypeSafe Jev - [trustgate](https://jevlibrary.dev/projects/ndolinschi-trustgate): TrustGate — indie media T&S gate via TypeSafe Jev - [lanebreak](https://jevlibrary.dev/projects/ndolinschi-lanebreak): LaneBreak — support ticket priority+routing via TypeSafe Jev - [cartshield](https://jevlibrary.dev/projects/ndolinschi-cartshield): CartShield — SMB checkout fraud disposition via TypeSafe Jev - [pulselane](https://jevlibrary.dev/projects/ndolinschi-pulselane): PulseLane — clinic triage decisions via TypeSafe Jev - [typesafe-arena](https://jevlibrary.dev/projects/deepbluedynamics-typesafe-arena): A playground for TypeSafeAI's Jev Model - [Instinct](https://jevlibrary.dev/projects/joevidev-ui-generator-instinct-jev): Instinct: describe a case in free text and Jev picks the UI from a fixed catalog without generating a line of code or copy. - [jev-demos](https://jevlibrary.dev/projects/bud-ro-jev-demos): Demos to test the effectiveness of TypeSafe's "Jev" System One Model - [Job Risk Analyzer](https://jevlibrary.dev/projects/wesecureyou-jev-test): Job Risk Analyzer: CLI and REST API that uses Jev to score an occupation's exposure to AI-driven layoffs and its resilience. - [jev-board-lab](https://jevlibrary.dev/projects/webgrga-jev-board-lab): Interactive explorer and Jev question workspace for Jev Board datasets. - [extremely-specific-council](https://jevlibrary.dev/projects/cbetz-extremely-specific-council): Twelve members. Zero qualifications. A playful TypeSafe AI council with animated votes, inspectable decisions, and shareable verdicts. - [Probably](https://jevlibrary.dev/projects/jordiparracrespo-typesafe-ai-trading-showcase): Probably: live BTC, ETH, and XRP prices with a shared TypeSafe buy-or-wait demonstration. No trades placed. - [Yes / No](https://jevlibrary.dev/projects/yes-no): Free, no-signup Noul demo. Ask a question, get yes, no, or maybe, with web search when needed. - [TypeSafe Typewriter](https://jevlibrary.dev/projects/typesafe-typewriter): Val Town demo where 16 typed judgments update live as you type. - [Crowdcheck](https://jevlibrary.dev/projects/crowdcheck): Test a post against 10,000 synthetic personas before you publish it. - [Jev mood demo](https://jevlibrary.dev/projects/jev-mood-demo): Talk nicely or nastily over time; structured state tracks the mood. - [Jev Room](https://jevlibrary.dev/projects/jev-room): One sentence becomes six room settings. Jev chooses, the app renders. - [typesafe-image-diffusion](https://jevlibrary.dev/projects/wizhill05-typesafe-image-diffusion): Diffusion-style pixel art out of a classifier: 256 parallel per-pixel Jev questions plus refinement passes. - [Should AI Kill Us All?](https://jevlibrary.dev/projects/hellogumbo-should-ai-kill-us-all): Live verdict page: feeds Jev the day’s Florida Man, odd-news, politics and world headlines and asks all three primitives whether AI should kill us all, refreshed every ten minutes. - [jev-autopilot](https://jevlibrary.dev/projects/arielweinberger-jev-autopilot): This demo uses Jev from TypeSafe AI to autonomously fly a drone in a random city from point A to point B, avoiding obstacles along the way. A trip costs $0.01. - [typesafe-ai-playground](https://jevlibrary.dev/projects/nickthompson480-typesafe-ai-playground): Community TypeSafe AI playground: 110 use cases, games, dilemmas and model challenges, with editable prompts, A/B comparisons and a mobile-friendly UI. - [flue-jev-demo](https://jevlibrary.dev/projects/matthewp-flue-jev-demo): Flue agent routing with TypeSafe Jev through Cloudflare AI Gateway - [intelliprompter](https://jevlibrary.dev/projects/finetuningsingh-intelliprompter): A teleprompter of talking points that checks each one off as you cover it, using TypeSafe's Jev Score questions - [jevs-sprint-planning](https://jevlibrary.dev/projects/notque-jevs-sprint-planning): Four AI developers run a software sprint, each powered by TypeSafe's Jev model. Watch them claim tickets, code, review, deploy, and fight fires — with live probability bars, latency, and cost per decision. Bring your own API key or play demo mode free. - [jev_projects](https://jevlibrary.dev/projects/x0ef-jev-projects): list of projects that use typesafe's jev - [jevcache](https://jevlibrary.dev/projects/hyperspaceai-jevcache): A decision cache for TypeSafe Jev-class models — memoize decisions so repeats are free, deterministic, and shareable. One 2 MB binary. - [jev-spring-boot-starter](https://jevlibrary.dev/projects/danvega-jev-spring-boot-starter): A simple Spring Boot 4 starter for TypeSafe Jev using Spring MVC and RestClient - [jev-notion](https://jevlibrary.dev/projects/jeffloo886-jev-notion): 🚀 Blazing-fast native macOS menu bar companion for Notion. Pure Swift & SwiftUI (<3MB), 8 languages. - [jev-ultralightspeed](https://jevlibrary.dev/projects/collapseindex-jev-ultralightspeed): BRRRRRRRRRRRRRRRRRRRRRR - [jev-pii-checker](https://jevlibrary.dev/projects/coo-quack-jev-pii-checker): CLI that finds PII in text with TypeSafe Jev: presence, sensitivity, and located spans - [jev-cloud-quiz](https://jevlibrary.dev/projects/minorun365-jev-cloud-quiz): 三大クラウドの機能名を、TypeSafe AI の System One モデル Jev が確率つきで判定するデモ - [JEV-language](https://jevlibrary.dev/projects/nolane-x-jev-language): Give your Jev language - [Formatho Jev Playground](https://jevlibrary.dev/projects/formatho-jev-playground): Browser-based request builder for the System One API: compose state plus typed Noul, Choice, and Score questions. Mock mode runs locally without an API key; Live mode requires your TypeSafe key and calls api.typesafe.ai directly. Generates typesafe_sdk Python. Includes companion Jev Suitability Test. - [jevseo](https://jevlibrary.dev/projects/epergaboni-jevseo): Typed SEO, AEO and GEO judgments powered by Jev, a System One decision model. Code owns the rules, the model owns the meaning. - [jeveryword](https://jevlibrary.dev/projects/jkrup-jeveryword): Text extraction with Jev: field extraction, PII detection and exact quotes, built on TypeSafe's Jev. - [jev-resume-match](https://jevlibrary.dev/projects/hamidfarmani-jev-resume-match): Score how well a resume matches a job description using Jev (TypeSafe AI). Next.js app that returns typed, explainable match scores instead of generated text. - [jev-ai](https://jevlibrary.dev/projects/codaaiteam-jev-ai): Jev AI quickstart & FAQ — TypeSafe AI's System One model. Try it free: jevtypesafeai.com - [rover-claude-jev-demo](https://jevlibrary.dev/projects/devonance-rover-claude-jev-demo): Just a weekend project with Claude as system two, and Jev as system One. - [jevguide](https://jevlibrary.dev/projects/2456868764-jevguide): Curated Jev showcases from X, organized by category with media previews and direct source links. - [jevmoji](https://jevlibrary.dev/projects/cheeaun-jevmoji): Type anything. Get related emojis scored 0–3 with Jev. - [jevcode](https://jevlibrary.dev/projects/miounet11-jevcode): JevCode — Jev (TypeSafe System One) 技术解决方案与最佳实践 · https://www.jevcode.ai - [jevtrafficsim](https://jevlibrary.dev/projects/skcache-jevtrafficsim): TypeSafe AI's first model Jev takes on an entire city's traffic - [jev-practice-speed](https://jevlibrary.dev/projects/tubone24-jev-practice-speed): A WebGL demo where you play the card game Speed against a CPU whose brain is TypeSafe AI's Jev. The whole point of the app is to measure and show Jev's decision speed and decision accuracy in real time. - [Postmark](https://jevlibrary.dev/projects/silky-x0-postmark): A working Demo that acts as classifier to classify linkedin post which inside uses jev by Typesafe.ai - [jev-connector](https://jevlibrary.dev/projects/juanlentino-jev-connector): WordPress connector for the TypeSafe System One API (Jev): typed questions, confidence-scored answers, core Connectors API key management - [jev-information-extraction](https://jevlibrary.dev/projects/abhishekmamdapure-jev-information-extraction): Parsing the PDF and extracting the relevant information ## Benchmarks & research (155 entries) Benchmarks, evals, calibration studies, and open replicas. - [SemIf](https://jevlibrary.dev/projects/theoleecj-semif): Semantic ifs from open models, on a 3090 at home. Independent; not affiliated with Jev or TypeSafe. - [jev-eval-agent](https://jevlibrary.dev/projects/vinilana-jev-eval-agent): Personal-assistant agent built on Vercel's eve with 100 mocked tools, measuring how many steps it takes when Jev picks the tool versus the LLM. - [typesafe-ai-benchmark](https://jevlibrary.dev/projects/iammrduncan-typesafe-ai-benchmark): This is a LLM Gateway that mimics typesafe ai structured output. Like an imposter Jev. - [jev-on-a-laptop](https://jevlibrary.dev/projects/rorshopping-jev-on-a-laptop): Unofficial study: Jev-style parallel typed decisions on stock 1.5B-8B models on an Apple Silicon laptop. Benchmarks, research notes, and a Hugging Face Space demo. - [open-jev (JoshuaSP)](https://jevlibrary.dev/projects/joshuasp-open-jev): Typed JSON inference with DiffusionGemma, with Every and Jev benchmark results - [openvons](https://jevlibrary.dev/projects/genai-craft-openvons): openvons (open-Jev): 有限選択肢に確率で答える判断層 — テキスト / 画像 / 日本語音声コマンド - [jev-benchmarks](https://jevlibrary.dev/projects/abdelstark-jev-benchmarks): Probability-aware evaluation for typed decision models: calibration, selective risk, latency, and reproducible benchmarks. - [open-jev (daseinlabs)](https://jevlibrary.dev/projects/daseinlabs-open-jev): One-pass option scoring with a local Gemma 3 4B on Apple silicon via MLX, inspired by jevlike, with a Doom demo. - [jev-lm](https://jevlibrary.dev/projects/y0usaf-jev-lm): A word-level language model whose output layer is Jev: n-gram drafter, Noul chunk verification, bits-per-token eval - [decider](https://jevlibrary.dev/projects/mapika-decider): One-pass typed decisions with calibrated probabilities (System One style model), fine-tuned from Qwen3.5-2B - [LegalForecastBench](https://jevlibrary.dev/projects/johnhughes3-legalforecastbench): LegalForecast-MTD benchmark alpha and official evaluation workflows - [jev-korean-benchmark](https://jevlibrary.dev/projects/mahlernim-jev-korean-benchmark): Reproducible early-access evaluation of Jev on Korean understanding and medical text, with runtime and cost evidence - [jev-behavior-study](https://jevlibrary.dev/projects/rinnecoder-jev-behavior-study): Independent Jev 1.13.0 behavior study: report, controlled prompt experiments, raw results, and offline verification. - [jevfire](https://jevlibrary.dev/projects/kikoncuo-jevfire): JEV-inspired parallel decisions for CUDA LLMs. One context, many decisions. vLLM API, game-agent examples, and reproducible benchmarks. - [openjev (zhihz)](https://jevlibrary.dev/projects/zhihz-openjev): Local bilingual probability decisions from context, questions, and candidate answers. Independent research preview inspired by TypeSafe Jev. - [jev_stock](https://jevlibrary.dev/projects/sosopop-jev-stock): An experimental JEV-powered framework for forecasting short-term stock price direction from structured market data. - [jev-for-engineers](https://jevlibrary.dev/projects/foadsf-jev-for-engineers): Eight minimal working examples of TypeSafe's Jev (a System One model) applied to mechanical and electrical engineering: CAD/CAE/CAM routing, FEM result triage, DFM screening, BOM alignment, hallucination-proof extraction. Zero dependencies. - [trade-jev](https://jevlibrary.dev/projects/justinhe16-trade-jev): Backtest Jev (TypeSafe) as a BUY/SELL/HOLD trader on NQ L10 order-book data - [jev-little-airways](https://jevlibrary.dev/projects/lbotinelly-jev-little-airways): A show-and-tell capability study for Jev, TypeSafe's System One decision model. - [kyotsu-ai-bench](https://jevlibrary.dev/projects/shibadogcap-kyotsu-ai-bench): AI benchmark on Japan's 2026 Common Test: Jev vs luna-none vs luna-low (static dashboard) - [system-one-open](https://jevlibrary.dev/projects/mithalouni-system-one-open): Open replica of TypeSafe's Jev: typed calibrated decisions in one forward pass, on Gemma 4 E2B / Gemma 3 270M (Modal) - [decisionbridge](https://jevlibrary.dev/projects/grishahq-decisionbridge): A Jev-inspired decision interface for existing LLMs. Explicit choices, scores, calibration, and review thresholds. - [padflow-jev-evals](https://jevlibrary.dev/projects/zsavage8-padflow-jev-evals): Typed-decision benchmark from PadFlow (land development SaaS): schemas, anonymized labeled rows, and a runner for confidence-calibrated models like TypeSafe Jev. - [mcts-agent](https://jevlibrary.dev/projects/lhemerly-mcts-agent): Discriminative Monte Carlo Tree Search using TypeSafe Jev System One Primitives and Gemini - [jev-rerank-bench](https://jevlibrary.dev/projects/anessbelbati-jev-rerank-bench): Can a decision model beat dedicated rerankers? TypeSafe Jev vs Cohere Rerank 4 vs ZeroEntropy zerank-2 vs a chat-model baseline: 14 datasets, every raw API response, bootstrap ranges on every gap. - [jev-benchmark](https://jevlibrary.dev/projects/wondertwins-jev-benchmark): Benchmarks and a playground for TypeSafe's Jev (System One) model: chess, and who-is-the-player-talking-to for speech-to-text game NPCs - [jev-sec-bench](https://jevlibrary.dev/projects/gaurav-gosain-jev-sec-bench): Blind security benchmarks for Jev, TypeSafe's System One model: prompt injection and vulnerable code detection, built on jev-go - [jev-playground (hegargarcia)](https://jevlibrary.dev/projects/hegargarcia-jev-playground): Benchmarks Jev against other evaluation models in games with explicit states, legal actions, and measurable outcomes. - [jev-as-a-judge](https://jevlibrary.dev/projects/danielgshea-jev-as-a-judge): Using Jev as an evaluator. - [jev-agent-failure-benchmark](https://jevlibrary.dev/projects/tokentrim-jev-agent-failure-benchmark): Benchmarking Jev (Typesafe.ai) against a strong LLM on the Who&When Pro agent-failure-attribution benchmark (text subset). - [jev-report](https://jevlibrary.dev/projects/hacksing-jev-report): 发明 RLHF 的人，这次做了个不会说话的模型：Jev 独立研究报告。52 页 PDF + 50 条中文实测复现包 + 143 条可回溯数据表 - [jevmlx](https://jevlibrary.dev/projects/bnsd55-jevmlx): Jev-style parallel constrained decisions for any MLX model on Apple Silicon. Typed, schema-valid JSON in one forward pass. - [jev-research-eval](https://jevlibrary.dev/projects/jgridifier-jev-research-eval): Reproducible Jev Ultrafast research-browser eval harness + field note (QC’d cases, suite runner, report generator). Not investment advice. - [jev-exploration](https://jevlibrary.dev/projects/samuelsacco-jev-exploration): Jev (TypeSafe) exploratory thread: claim audit, live demos, and runnable code - [jev-secret-detection](https://jevlibrary.dev/projects/teyhouse-jev-secret-detection): Measures how well TypeSafe's RLCD-Jev model spots real secret credentials in file snippets - [jev-phishing-bench](https://jevlibrary.dev/projects/anisselbd-jev-phishing-bench): Jev (TypeSafe) vs Claude Haiku 4.5 on 2 000 phishing emails: accuracy, calibration, latency, cost. Reproducible benchmark. - [system-one-gemma](https://jevlibrary.dev/projects/akash-kamat-system-one-gemma): Open-source Jev-style System One decision model. Gemma 3 270M with a scoring head — fast, calibrated decisions in a single forward pass. No text generation. Inspired by TypeSafe.ai's Jev. - [jev-routing-experiment](https://jevlibrary.dev/projects/tokentrim-jev-routing-experiment): Benchmarking TypeSafe's Jev decision model as a cost-efficient LLM router on RouterArena - [jev-jp-address](https://jevlibrary.dev/projects/smasato-jev-jp-address): Jev (TypeSafe) 性能評価プロジェクト — 日本郵便 KEN_ALL をマスタに、AI SDK 経由の Jev が住所のあいまい一致にどこまで使えるかを検証 - [calibre](https://jevlibrary.dev/projects/firassx914-janus): Calibration and confidence-based routing measured on Banking77: 80.2% accuracy at $0.103 per 500 decisions - [openjev-experiments](https://jevlibrary.dev/projects/zefir1990-openjev-experiments): Experiments with openjev, an open Jev-style option-logit runner, on local models. - [shade-arena-jev-monitor](https://jevlibrary.dev/projects/nican2018-shade-arena-jev-monitor): Evaluating TypeSafe's Jev as a fast monitor and action gate for agent sabotage in SHADE-Arena, compared with Gemini 2.5 Flash/Pro. - [thaiexam-jev-charts](https://jevlibrary.dev/projects/vehas-thaiexam-jev-charts): Charts: TypeSafe Jev evaluated on Thai standardized exams vs 110 other models - [jev-column-race](https://jevlibrary.dev/projects/goodrahstar-jev-column-race): Jev vs Gemini 3.8 Flash: labelling 1,000 app reviews, 4.1× faster and 7× cheaper - [qwen-rlcd](https://jevlibrary.dev/projects/shamazharikh-qwen-rlcd): Jev-style calibrated decision model (Choice/Score/Noul) on Qwen3.5-0.8B - [jev-trace-classifier](https://jevlibrary.dev/projects/sypherin-jev-trace-classifier): Application of TypeSafe Jev (noul judgment primitive) on the collusion.wiki corpus: agent vs human page authorship, head-to-head vs local Qwen3.8-Flash-Next - [jevgpt](https://jevlibrary.dev/projects/bewinxed-jevgpt): A chatbot built on a model that cannot generate text (TypeSafe AI's Jev, driven autoregressively) - [jev-shadcn-lint-eval](https://jevlibrary.dev/projects/blas0-jev-shadcn-lint-eval): A small second eval for shadcn-ui/lint that uses TypeSafe's Jev to judge the linter's own output. - [jev-deferred-crispification](https://jevlibrary.dev/projects/dnakhoa-jev-deferred-crispification): Position paper: the Hidden-Markov and fuzzy primitives missing from TypeSafe AI's Jev and System-One decision models. Two lemmas, one principle (Deferred Crispification), one architecture (BSF-S1). - [RISC-jeV](https://jevlibrary.dev/projects/i2cjak-risc-jev): I tortured Jev into being a RISC-V CPU. - [jev-pick-and-place-study](https://jevlibrary.dev/projects/tryaksh-jev-pick-and-place-study): A small reproducible MuJoCo pilot comparing Jev, Claude Haiku, and reactive rules for pick-and-place. - [jev-spam-eval](https://jevlibrary.dev/projects/bitnovus-jev-spam-eval): Zero-shot spam filtering with TypeSafe Jev Noul questions, compared with TF-IDF baselines - [jev-chat](https://jevlibrary.dev/projects/adhyaay-karnwal-jev-chat): A chatbot from typed Jev decisions: hierarchical speculative decoding over System One probabilities. - [jev-anotacao-sentencas](https://jevlibrary.dev/projects/lab-dados-jev-anotacao-sentencas): Jev (TypeSafe) vs. Gemini 3.8 Flash vs. GPT-5.6 Luna na anotação estruturada de sentenças do TJSP: qualidade, tempo e custo - [jev-synergy-screening](https://jevlibrary.dev/projects/pistachioaihq-jev-synergy-screening): Jev (TypeSafe System One) × ASReview SYNERGY abstract screening demo — Choice/Noul vs gold labels - [jev-lab](https://jevlibrary.dev/projects/menny1337-jev-lab): TypeScript experiments, evaluations, and latency benchmarks for TypeSafe's Jev model - [jev-headline-bench](https://jevlibrary.dev/projects/gaurav-gosain-jev-headline-bench): Can Jev pick the winner of a real headline A/B test? 64.5% across 10,984 Upworthy randomized experiments, 74.7% when the difference was decisive. - [jev-alpha-bench](https://jevlibrary.dev/projects/gaurav-gosain-jev-alpha-bench): Does Jev predict stock returns from news? It reads the news well; there is no tradeable alpha. Three arms separate reading from recall. - [FinancialPredictionJev](https://jevlibrary.dev/projects/thodoh1-financialpredictionjev): Using Jev to test how well it predicts financial markets(just like most llms as of september 2026, it doesnt do that good) - [jev-freeform](https://jevlibrary.dev/projects/kesku-jev-freeform): An observable raw-character chat experiment powered entirely by TypeSafe Jev Choice - [Typesafe_chess_eval](https://jevlibrary.dev/projects/aliceroselia-typesafe-chess-eval): An evaluation of typesafe AI chess. As it turns out, the AI isn't doing really well even though chess is not a particularly open-ended game. Still, it's only a prototype and this probably wasn't optimzied for games. - [system-one](https://jevlibrary.dev/projects/sgoedecke-system-one): Batched single-token choice inference for open language models, compatible with TypeSafe - [typesafe-oracles](https://jevlibrary.dev/projects/trophee-bot-typesafe-oracles): Evaluating TypeSafe's System One primitives (Choice/Score/Noul) — where a typed oracle beats an LLM call - [system-one-adapter-rust](https://jevlibrary.dev/projects/codeitlikemiley-system-one-adapter-rust): Rust port of TypeSafe system-one-adapter (LLM-backed system_one evaluations) - [PocketJev](https://jevlibrary.dev/projects/nullpo-jp-pocketjev): On-device iPhone visual decision tool using MLX and Qwen3-VL direct option logits. - [Parallel Constrained Decoding (Qwen2.5-1B-RLCD)](https://jevlibrary.dev/projects/parallel-constrained-decoding-qwen2-5-1b-rlcd): Hugging Face Space exploring open-source parallel constrained decoding as an alternative to Jev. - [misereru-slide-jev](https://jevlibrary.dev/projects/myokoym-misereru-slide-jev): Ongoing Japanese research deck on Jev and System One models, maintained as Markdown slides. - [TypeAR](https://jevlibrary.dev/projects/typellm-typellm): Type-safe one-decision-per-token decoding engine for autoregressive LLMs, inspired by Jev. - [jevlike](https://jevlibrary.dev/projects/vinnylarouge-jevlike): Train a small model that chooses among a changing list of text options, one probability per option in a single pass. Includes Doom, chess, and Wikispeedia demos. - [jevbetter](https://jevlibrary.dev/projects/olanotolu-jevbetter): A stronger one-pass scorer over a variable list of text options: hashed n-gram encoder, rival-aware attention, gated head, temperature scaling, benchmarked against jevlike. - [jev-visual](https://jevlibrary.dev/projects/hr98w-jev-visual): An educational Jev-like visual inference experiment on Apple Silicon: shared context, direct candidate scoring, and local visual demos. - [reflex](https://jevlibrary.dev/projects/kshetrajna12-reflex): A small open decision model: state + typed questions -> calibrated probabilities. A Jev / System One re-creation on Qwen3.5. - [mini-jev](https://jevlibrary.dev/projects/r-ms-mini-jev): mini-Jev: what a Jev-style typed-decision interface looks like on a frozen Qwen3-4B — read the option letter's logits instead of generating JSON. Preregistered experiment, results, teaching bench. - [openjev](https://jevlibrary.dev/projects/razorback16-openjev): Open, Jev-compatible System One decision server on DiffusionGemma - [Jev_apps](https://jevlibrary.dev/projects/jackzeng-jev-apps): 看看 Jev 能做什么：用中英文讲清热门应用、工作原理和各自优缺点。Explore Jev apps with plain-language examples, explanations, and comparisons. - [typesafe-local](https://jevlibrary.dev/projects/aabolfazl-typesafe-local): Inspired by TypeSafe Ai, Ask a local LLM typed questions, get calibrated probabilities instead of text. Structured output without generation or parsing. MLX / Apple Silicon. - [daf-jev](https://jevlibrary.dev/projects/docxology-daf-jev): daf-jev: composable Python toolkit for TypeSafe's Jev (System One) decision API — question builders, confidence gates, evaluator, calibration, CLI, MCP server, agent skill - [jev-search-rerank-eval](https://jevlibrary.dev/projects/zhuyansen-jev-search-rerank-eval): Does a TypeSafe Jev rerank beat embedding search? Graded relevance eval (9,831 pairs, 164 zh/en queries) over the Agent Skills Hub catalog, with the judge-circularity bias measured. - [Verdict-open-jev](https://jevlibrary.dev/projects/heman10x-ngu-verdict-open-jev): Non-autoregressive decision engine on ModernBERT (151M) with calibrated uncertainty (RLCD), TypeSafe AI Jev benchmark audit, and in-browser WebGPU playground - [jev-harness](https://jevlibrary.dev/projects/antoniocoppe-jev-harness): Decision harness for TypeSafe Jev — confidence gates, shadow mode, recipes, and evals. Claude CLI 48.9s → Jev 1.3s on the same row-filter job. - [jevcal](https://jevlibrary.dev/projects/abhixhek-jevcal): Stop guessing confidence thresholds: calibrate, threshold, and drift-check typed decision models (TypeSafe Jev) against an LLM teacher. - [jev-gate](https://jevlibrary.dev/projects/monglong0214-jev-gate): Not every coding task needs your best model. Experimental Jev-powered model routing for Claude Code — V3 prototype runs today, V4 routes at the task boundary. - [open-alternative-jev](https://jevlibrary.dev/projects/ikermoel-open-alternative-jev): Open alternative to Jev: typed, calibrated decisions from any open-weights LLM in one forward pass (HF + vLLM), with benchmarks - [jev-curate](https://jevlibrary.dev/projects/akashpriyadarshii-jev-curate): High-throughput synthetic & pretraining dataset sifter powered by TypeSafe AI Jev (api.typesafe.ai). Stream, filter, and score Parquet & JSONL datasets at 1,500+ rows/sec using System One typed decisions (Choice, Score, Noul). - [jevify](https://jevlibrary.dev/projects/altryne-jevify): An agent skill to discover TypeSafe Jev opportunities, design typed questions, and learn from recent community experiments. - [LitJev](https://jevlibrary.dev/projects/zhengxuyu-litjev): A reproduction of Jev that turns any Qwen model into a fast decision model, serving the same /v1/systemone schema (Choice, Score, Noul) with no training and no generated answer text. - [jev_local](https://jevlibrary.dev/projects/argos1111-jev-local): Replicating Jev with a local LLM - [jev-capability-atlas](https://jevlibrary.dev/projects/zaious-jev-capability-atlas): Independent, evidence-based map of when TypeSafe's Jev actually holds up vs. breaks down — real API-call receipts, not a leaderboard. 中文為主的雙語 repo。 - [von](https://jevlibrary.dev/projects/wfzyx-von): The open-source System One decision model. Sub-15ms, non-autoregressive, local drop-in alternative to TypeSafe Jev. - [jev.nu](https://jevlibrary.dev/projects/cablehead-jev-nu): Nushell module for the TypeSafe System One API: typed decisions with calibrated probabilities - [siftr](https://jevlibrary.dev/projects/bentlybro-siftr): Fast, cheap judgment for AI coding agents: semantic search, focused reads and list picking in ~2s. CLI + MCP server on TypeSafe Jev. Benchmarked on SWE-bench. - [jev-mode](https://jevlibrary.dev/projects/ddfeyes-jev-mode): I kept watching coding agents burn context on decisions that aren't hard - triage 400 tickets, tag 600 files, route to one of six teams. jev-mode moves those verdicts to a typed-judgment model. I A/B'd it: 78% fewer tokens, 16x less work-attributable input, accuracy 96.1% vs 93.7%. Python, no deps, MIT. - [zerosweep](https://jevlibrary.dev/projects/sysadarsh-zerosweep): Autonomous System-One Triage Engine & Benchmark powered by TypeSafe AI (Jev). 75ms inference, $0 output tokens, and RLCD epistemic safety gates. - [tenbin](https://jevlibrary.dev/projects/simota-tenbin): MCP server and agent skill for the TypeSafe AI System One API (Jev): decompose a judgment into Choice / Score / Noul questions, lint them, measure on labelled data, and put calibrated thresholds in code - [new-api-plugin-typesafe](https://jevlibrary.dev/projects/ffattiger-new-api-plugin-typesafe): TypeSafe AI System One (Jev) task plugin for QuantumNous/new-api — native /v1/systemone, synchronous evaluation, token billing - [research_desk](https://jevlibrary.dev/projects/0xnairb-research-desk): TypeSafe Jev demonstration for new analyzation — experimenting with Jev for fast analysis of news and tickers - [claude-jev](https://jevlibrary.dev/projects/buchmark-claude-jev): Claude Code plugin that scores review findings, debug hypotheses and design options with TypeSafe's Jev — calibrated probabilities instead of one more opinion. - [jev-align](https://jevlibrary.dev/projects/caiovicentino-jev-align): Calibrated alignment verifier for LLM responses and agent plans — powered by Jev - [jev-carryforward](https://jevlibrary.dev/projects/dharundp6-jev-carryforward): What your last session knew, scored against what this one is doing. MCP server: a per-project ledger written as things happen, recalled per task with TypeSafe's Jev evaluation model via Vercel AI Gateway. - [jev-chess](https://jevlibrary.dev/projects/hemanth-jev-chess): Chess moves, evaluations, persona opponents, and game classification with TypeSafe AI System One - [modelsystem](https://jevlibrary.dev/projects/fabricioctelles-modelsystem): Curated catalog of System One / Decision Models — contributions for modelsystem.one - [typesafe-vs-deepseek](https://jevlibrary.dev/projects/markfive-proto-typesafe-vs-deepseek): TypeSafe (Jev) vs DeepSeek-flash: side-by-side speed/token/cost/accuracy comparison across invoice extraction, email classification, and reranking - [openJev-verdict-2.0](https://jevlibrary.dev/projects/heman10x-ngu-openjev-verdict-2-0): Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-decisions (77.10% acc, 0.0636 Brier, 0.0144 ECE) - [jevbench](https://jevlibrary.dev/projects/fstandhartinger-jevbench): JevBench v1 - a benchmark for Jev-class typed decision models: smart, cheap, fast, reliable, open. - [jev-studio](https://jevlibrary.dev/projects/utk2103-jev-studio): if you're experimenting with jev it will be easier from here - [jsort](https://jevlibrary.dev/projects/keltokhy-jsort): sort by meaning: order lines along a plain-English dimension, from pairwise comparisons judged by TypeSafe's Jev model - [jev-rag-benchmark](https://jevlibrary.dev/projects/erendikmenn-jev-rag-benchmark): Reproducible benchmark for measuring Jev reranking quality, latency, and cost in RAG - [jev-architect](https://jevlibrary.dev/projects/karanb192-jev-architect): Find, design, and evaluate TypeSafe Jev decision loops. - [Augustus](https://jevlibrary.dev/projects/24601-augustus): Agent skill: design judgment-assisted systems with TypeSafe Jev (System One). Maps Choice/Score/Noul onto decision theory, reranking, and routing. Composition algebra, question design, validation gates. MIT. - [jev-cli (shaharia-lab)](https://jevlibrary.dev/projects/shaharia-lab-jev-cli): Command-line tool for TypeSafe AI's Jev model. Ask yes/no, multiple-choice and rubric questions about any text and get calibrated probabilities back. Answers become exit codes for shells and CI, JSON for scripts, and MCP tools for AI agents. - [Jev](https://jevlibrary.dev/projects/cobusgreyling-jev): Unofficial TypeSafe Jev showcase — System One decisions, not chat. - [jevtest](https://jevlibrary.dev/projects/realzachi-jevtest): Semantic test matchers for Vitest and Jest, powered by TypeSafe's Jev model. Write expectations in plain English, get calibrated probabilities back. - [OpenJev](https://jevlibrary.dev/projects/xingwudao-openjev): OpenJev: an independent Jev-inspired System One decision API based on TypeSafe.ai concepts. Choice, score and noul primitives, local mock server, Python and TypeScript SDKs. Real inference planned; not affiliated with TypeSafe AI. - [rh-guard](https://jevlibrary.dev/projects/24601-rh-guard): Reward-hack radar for coding agents: structural denies + TypeSafe Jev System One sidecar for Claude Code & Cursor hooks - [jev-oas-sentinel](https://jevlibrary.dev/projects/shuhansun-jev-oas-sentinel): Catch breaking API behavior hidden in OpenAPI prose with deterministic checks and TypeSafe JEV System One semantic review. - [typesafe-chess (Dimesio)](https://jevlibrary.dev/projects/dimesio-typesafe-chess): FUn little experiment with Typesafe AI Jev Model playing chess against stockfish :) - [toolgate (RiskAverseTech)](https://jevlibrary.dev/projects/riskaversetech-toolgate): Open auto mode for AI agents — a calibrated tool-call firewall powered by TypeSafe Jev. Ships as a Claude Code hook - [jev-search (larguesa)](https://jevlibrary.dev/projects/larguesa-jev-search): Experimental semantic line search with TypeSafe Jev via OpenRouter. Python CLI with no runtime dependencies. - [ORIGIN-CIVILIZATION](https://jevlibrary.dev/projects/jacquesgariepy-origin-civilization): AI life-and-civilization simulation: TypeSafe Jev makes every decision (typed, probabilistic, auditable); LLMs plan — OpenAI-compatible APIs, local models (Ollama, LM Studio), Claude Code, Codex. - [jev-ood-calibration](https://jevlibrary.dev/projects/scienthoon-jev-ood-calibration): Independent calibration test of TypeSafe's Jev on a task it cannot have seen: 900 rule-generated support tickets (choice / score / boolean) plus 3 public benchmarks via Vercel AI Gateway. Raw responses, ECE with noise floor, temperature refit, per-type sign of miscalibration. Reproducible for ~$0.06. - [jev-codes](https://jevlibrary.dev/projects/kushwho-jev-codes): Audit your git diff against YAML coding-standards packs using TypeSafe's Jev model, from a CLI or your AI agent's command/skill. - [jev-starter](https://jevlibrary.dev/projects/hamakyo-jev-starter): Typed, policy-driven decision workflows on top of TypeSafe AI Jev: confidence routing, fallbacks, evaluation, and RAG patterns for TypeScript apps. - [OpenJev (GPT-AGI)](https://jevlibrary.dev/projects/gpt-agi-openjev): Jev-compatible System 开源Jev - [jevchess](https://jevlibrary.dev/projects/choxos-jevchess): Jev, TypeSafe's System One model, plays chess against any OpenRouter LLM, Stockfish and you. One-page web app with live moves, Jev's move probabilities, saved games and win rates. - [jev-labs](https://jevlibrary.dev/projects/copyleftdev-jev-labs): Never confidently wrong: a TLA+-verified consensus kernel around TypeSafe's Jev, run through 1,680 chaos-tested pharmacy decisions with zero wrong verdicts. Film, code, and every captured call. - [jevarena (chenmingtang830)](https://jevlibrary.dev/projects/chenmingtang830-jevarena): Open-source BYOK arena for Jev and other AI judges. Find failures, compare quality, cost, and latency. - [jev-reward-model-evaluation](https://jevlibrary.dev/projects/goya4140-jev-reward-model-evaluation): Jev 1.13 reward-model evaluation across 8 benchmark tracks, with an interactive report and 54-row SOTA comparison - [jev-web-analyzer](https://jevlibrary.dev/projects/replynodes-jev-web-analyzer): See what Jev thinks about your SaaS website — powered by ReplyNodes web context and Vercel AI Gateway. - [JevForge](https://jevlibrary.dev/projects/zwlijay-jev-forge): End-to-end Jev-style structured-decision stack for auditable data construction, Qwen3.5-0.8B training, fixed Mind2Web and OOD evaluation, preliminary RLCD, local serving, and interactive replay. - [openpoke-meets-jev](https://jevlibrary.dev/projects/0xshin0221-openpoke-meets-jev): Fork of OpenPoke where the yes/no decisions go to Jev instead of Claude Sonnet, with a same-inputs A/B against the replaced LLM decision and a 43,776-request adversarial run on the injection gate. - [NanoJev](https://jevlibrary.dev/projects/tianyucodings-nanojev): A nano replica of Jev: parallel decisions, dynamic candidates, and an end-to-end training pipeline. - [jev-dataops](https://jevlibrary.dev/projects/renagao-jev-dataops): An open-source JEV-powered workbench for streaming data selection, quality evaluation, automatic LoRA training and held-out model evaluation. - [jevals](https://jevlibrary.dev/projects/openlayer-ai-jevals): Agent evals and guardrails in one request. Built on Jev, Kev and Laya. - [open-spark-jev](https://jevlibrary.dev/projects/abhishek085-open-spark-jev): Open-source, local decision models inspired by TypeSafe’s Jev and System One - built on Qwen3 for NVIDIA DGX Spark. - [OpenJev (zhangcy122)](https://jevlibrary.dev/projects/zhangcy122-openjev): OpenJev: Open-source alternative to TypeSafe Jev. Typed probabilistic decision API (Choice, Noul, Score) powered by open LLMs & constrained logprob calibration. - [nanojev-arena](https://jevlibrary.dev/projects/caijinchun-nanojev-arena): NanoJev Snake Arena: 1v4 human-vs-AI battleship + 100-agent swarm simulator. Local demo of Jev System-One model (open-source mini replica). - [pi-jev-context (Nyarlathoteppppp)](https://jevlibrary.dev/projects/nyarlathoteppppp-pi-jev-context): Cache-neutral context trimming for the pi coding agent, powered by TypeSafe Jev: long tool output cut to verbatim key lines before it enters context, with lossless recall. Measured, with pre-registered benchmarks. - [poorjev](https://jevlibrary.dev/projects/rupeshpoojary9-poorjev): Open-source, local Jev alternative: a System One decision layer with provably calibrated confidence (ECE 0.170→0.071). Typed decisions, runs offline, no API key, no waitlist. - [open-jev](https://jevlibrary.dev/projects/kyegomez-open-jev): an open-source, from-first-principles reconstruction of the ideas behind TypeSafe AI's Jev, written in pytorch - [typesafe-ai-go](https://jevlibrary.dev/projects/kisshan13-typesafe-ai-go): Community-maintained Go SDK for the TypeSafe AI System One evaluation API, with typed questions, fluent builders, retries, and examples. - [hermes-and-jev-play-minecraft](https://jevlibrary.dev/projects/teknium1-hermes-and-jev-play-minecraft): Hermes Agent plans, Jev (TypeSafe) picks bounded actions, Mineflayer executes: Minecraft with no screenshots or keypresses from a model. Includes the reproduction of rmalde/minecraft-agent's Ender Dragon run. - [edgejev](https://jevlibrary.dev/projects/yzfly-edgejev): 离线可用的本地类型化决策：4 核 CPU 单题 15.6ms。Local & offline Jev / System One inference on CPU — ONNX + INT8, no torch at runtime. 支持 laya / kev / PlayJev - [jev-realtime-trading](https://jevlibrary.dev/projects/rthomas24-jev-realtime-trading): Paper trading agents on a live tape, decided every second by TypeSafe's Jev (System One). Electron desktop app. - [jevbus](https://jevlibrary.dev/projects/zkjoie-jevbus): A streaming event bus whose routing, subscription and consumption are decided by a probabilistic judge. The reference judge is TypeSafe AI's Jev (System One) model: send it a payload and a set of typed questions, get back calibrated probabilities instead of prose. - [laya-vs-jev-arena](https://jevlibrary.dev/projects/promptengineer48-laya-vs-jev-arena): Laya (open source, local) vs TypeSafe Jev (API): two AI models race in Snake and fight in a Mortal-Kombat-style arena. Every move is a real model decision. - [watfile](https://jevlibrary.dev/projects/jexp-watfile): Text/PDF - File categorization and sorting with Typesafe AI Jev or local calibrated decision model - [jevshield](https://jevlibrary.dev/projects/lgy1027-jevshield): Sub-100ms security gate for AI agent tool calls, powered by TypeSafe's Jev (System-1) decision model. Single-request Choice/Noul/Score evaluation, dual-factor blocking matrix, calibrated-confidence routing, fail-closed parsing, zero-config local fallback. LangChain-ready. - [jev-flash-router](https://jevlibrary.dev/projects/ravinder82-jev-flash-router): open-sourced jev-flash-router: an MCP server for TypeSafe's new Jev model. AI coding agents waste hundreds of reasoning tokens just deciding which file to edit, which route to pick, or whether a diff breaks tests. Jev evaluates state and outputs calibrated probabilities. Works with Cursor, Windsurf, & Claude Code - [cu-Jev](https://jevlibrary.dev/projects/dtunai-cu-jev): cuda-Jev — a CUDA-native Jev System One decision inference engine. Jev compatible API, examples, and reproducible benchmarks. - [polymarket-btc-5m-agent](https://jevlibrary.dev/projects/brunoomoniz-polymarket-btc-5m-agent): Agente de trading para o mercado BTC Up/Down de 5 minutos da Polymarket: modelo em código, Jev (TypeSafe System One) como portão, ordens maker, calibração e shadows em paper - [what-is-jev](https://jevlibrary.dev/projects/g0runmezadam-what-is-jev): Independent, source-linked research on TypeSafe AI's Jev (System One), with 947 rubric-scored public repositories, recurring patterns, datasets, and bilingual documentation. - [jev-ui](https://jevlibrary.dev/projects/etweisberg-jev-ui): React components that resolve which component to render, how to order a list, and whether to show an affordance — from calibrated judgments returned by TypeSafe's Jev. - [typesafe-jev-mcp](https://jevlibrary.dev/projects/anasbekheit-typesafe-jev-mcp): MCP server exposing TypeSafe's Jev model as a typed evaluate tool. - [jev-benchmark (themsquared)](https://jevlibrary.dev/projects/themsquared-jev-benchmark): Reproducible benchmark for TypeSafe AI's Jev on agent tool-call risk classification: accuracy, latency, and whether the confidence score is worth routing on. - [ruby_llm-providers-typesafe](https://jevlibrary.dev/projects/javiergradiche-ruby-llm-providers-typesafe): TypeSafe System One models (Jev) for RubyLLM: typed judgments, evaluations and reranking. ## Other lists (27 entries) Other curated lists. - [awesome-typesafe](https://jevlibrary.dev/resources/abdelstark-awesome-typesafe): Curated list of official resources and community projects for TypeSafe, System One models, and Jev, with a GitHub Pages site. - [awesome-jev (AnotiaWang)](https://jevlibrary.dev/resources/anotiawang-awesome-jev): A curated list of awesome Jev / TypeSafe System One applications, libraries, and resources. - [awesome-jev (yibie)](https://jevlibrary.dev/resources/yibie-awesome-jev): A curated list of public projects, integrations, and discussions built on Jev — TypeSafe AI's System One model for typed decisions. - [awesome-jev](https://jevlibrary.dev/resources/cobanov-awesome-jev): A curated, source-backed list of projects built with Jev, TypeSafe AI's System One model for typed decisions. - [awesome-jev (fatwang2)](https://jevlibrary.dev/resources/fatwang2-awesome-jev): A source-backed Jev project directory with a reusable Jev-only GitHub review workflow. - [awesome-jev-projects](https://jevlibrary.dev/resources/logicrw-awesome-jev-projects): Awesome Jev: source-backed open-source ecosystem radar, plain-language project discovery, and automatic GitHub sync - [awesome-jev (OmniJev)](https://jevlibrary.dev/resources/omnijev-awesome-jev-gallery): Papers, open reproductions and independent evaluations behind System One models and Jev. - [awesome-jev-typesafe](https://jevlibrary.dev/resources/valentynkit-awesome-jev-typesafe): Typed decisions with TypeSafe's Jev, the first System One model - [awesome-jev (kraayenjon)](https://jevlibrary.dev/resources/kraayenjon-awesome-jev): A curated list of Jev use cases, projects, SDKs, and resources. Jev is TypeSafe AI's System One model for fast, typed decisions in software — Choice, Score, and Noul with calibrated probabilities. - [awesome-jev-zh](https://jevlibrary.dev/resources/yzfly-awesome-jev-zh): Jev / TypeSafe System One 中文精选列表：官方资料、SDK、爆款应用、Agent 工具、开源复现与独立评测，附中文上手指南，每日自动收录 GitHub 热门项目。 - [awesome-jev-tools](https://jevlibrary.dev/resources/v-modal-awesome-jev-tools): A curated list of tools built for Jev — TypeSafe AI's System One model for typed decisions. - [awesome-jev (AppitStudio)](https://jevlibrary.dev/resources/appitstudio-awesome-jev): Curated Jev resources and runnable examples for typed AI decisions. - [jev-skill](https://jevlibrary.dev/resources/wuyoscar-jev-skill): An awesome collection of Jev use cases, workflows, and agent skills. - [jev-hub](https://jevlibrary.dev/resources/mizzlelover-jev-hub): JEV HUB · X 上关于 TypeSafe AI「系统一模型」Jev 的长文与演示视频聚合（保留原链与作者）｜ 谁是专家 出品 - [awesome-jev (heyjunpenn)](https://jevlibrary.dev/resources/heyjunpenn-awesome-jev): A verified, community-maintained catalog of 485 open-source projects built with Jev. - [awesome-jev-usecases](https://jevlibrary.dev/resources/anandi1989-awesome-jev-usecases): Evidence-backed index of real-world Jev (TypeSafe AI System One) use cases: repos, patterns, benchmarks, and measured results - [fable-jev](https://jevlibrary.dev/resources/immamdouhaboammar-fable-jev): ⚡ Sub-100ms cognitive reflexes for autonomous coding agents. Powered by TypeSafe AI's Jev & get-fable. - [jev-radar](https://jevlibrary.dev/resources/everyinfra-jev-radar): 📡 全网最全 · The world's most comprehensive tracker of the Jev (TypeSafe AI System One) ecosystem — 220+ documented cases · 108 confidence-graded entries · verified & rescanned every 3 hours · API access guide included - [awesome-jev-usecases (aliaihub)](https://jevlibrary.dev/resources/aliaihub-awesome-jev-usecases): Evidence-backed use cases, patterns, and guidance for building with Jev, TypeSafe AI's System One model. Every claim is labeled and sourced. - [awesome-jev (Frank-ZY-Dou)](https://jevlibrary.dev/resources/frank-zy-dou-awesome-jev): Public examples of Jev used for robot control, 3D modeling and adjacent control tasks, with sources and archived media - [awesome-jev (ckaraca)](https://jevlibrary.dev/resources/ckaraca-awesome-jev): A curated list of tools, integrations, and experiments built on Jev, TypeSafe AI's System One model for fast, typed decisions. - [awesome-jev (MrJev)](https://jevlibrary.dev/resources/mrjev-awesome-jev): Selective list behind a 10-star bar, with hands-on reviews at mrjev.com recording what each tool sends and where. - [awesome-jev-use-cases](https://jevlibrary.dev/resources/walidboulanouar-awesome-jev-use-cases): Awesome list of TypeSafe AI Jev use cases: 74 demos ranked by likes, 150+ GitHub repos, limits, cost and API examples. CC0, sponsored by AY Automate. - [awesome-jev (BeatAPI)](https://jevlibrary.dev/resources/beatapi-awesome-jev): We only curate source-reviewed JEV-related projects with 100+ GitHub stars — integrations, tools, open models, and experiments. Live gallery: beatapi.io/awesome-jev - [awesome-jev-live](https://jevlibrary.dev/resources/wh000wh000-awesome-jev-live): Awesome Jev — evidence-graded index of TypeSafe System One: SDKs, MCP tools, agents, apps and open models. 20 languages, rebuilt every 2 hours. - [awesome-jev (daftAI2026)](https://jevlibrary.dev/resources/daftai2026-awesome-jev): TypeSafe System One / Jev community directory — GitHub projects & posts around typed decisions (typesafe.ai) - [awesome-jev (tanxarx)](https://jevlibrary.dev/resources/tanxarx-awesome-jev): All things awesome related to Jev ## Articles & threads (50 entries) Coverage, write-ups, and X threads. - [Hacker News launch thread](https://jevlibrary.dev/resources/hacker-news-launch-thread): 1,800-point thread debating whether typed decisions replace LLM calls for classification, routing, and scoring. - [AINews: Jev, a System One Model that only decides](https://jevlibrary.dev/resources/ainews-jev-a-system-one-model-that-only-decides): Latent Space's launch-day roundup: over 100x faster and 200x cheaper than small frontier LLMs. - [TypeSafe AI debuts model for machines that plays Doom](https://jevlibrary.dev/resources/typesafe-ai-debuts-model-for-machines-that-plays-doom): The Register on the launch, the Doom demo, and the $40M seed round. - [Jev: System One models explained](https://jevlibrary.dev/resources/jev-system-one-models-explained): The Neuron's explainer on AI decisions without a chatbot. - [Mini-Vibe Check: Jev judged everything I have written in 0.7 seconds](https://jevlibrary.dev/resources/mini-vibe-check-jev-judged-everything-i-have-written-in-0-7-seconds): Every's Mike Taylor runs his whole archive through Jev. - [Jev: The Language Model That Will Not Talk](https://jevlibrary.dev/resources/jev-the-language-model-that-will-not-talk): Anthony Maio's essay on what a model that cannot generate text is for. - [TypeSafe Jev: the first decision-only model class](https://jevlibrary.dev/resources/typesafe-jev-the-first-decision-only-model-class): Release-week technical roundup: API, evals, adapter, and skill. - [He says he co-invented ChatGPT. His new AI will not write a word](https://jevlibrary.dev/resources/he-says-he-co-invented-chatgpt-his-new-ai-will-not-write-a-word): dev.to walkthrough of the Vercel AI SDK evaluate integration. - [Typed decisions, not chat](https://jevlibrary.dev/resources/typed-decisions-not-chat): Independent walkthrough separating TypeSafe's published claims from public evidence. - [What is Jev?](https://jevlibrary.dev/resources/what-is-jev): Short practical intro with a Python ticket-triage example. - [AI that does not talk](https://jevlibrary.dev/resources/ai-that-does-not-talk): Practical guide: playground, Python and JS SDKs, raw HTTP, and the agent skill. - [Jev vs Mistral and Gemini for event validation](https://jevlibrary.dev/resources/jev-vs-mistral-and-gemini-for-event-validation): Head-to-head test at validating local event listings, with cost and latency. - [TypeSafeのJevを正しく驚く](https://jevlibrary.dev/resources/typesafe-jev): Japanese walkthrough of what Jev is and is not. - [jev 同士に五目並べで対戦させた](https://jevlibrary.dev/resources/jev): Jev vs Jev gomoku with source and timing logs. - [Launch thread by Diogo Almeida](https://jevlibrary.dev/resources/launch-thread-by-diogo-almeida): TypeSafe's founder on why RLCD-trained decision models are a shorter path to value than chat models. - [Computer use built on Jev](https://jevlibrary.dev/resources/computer-use-built-on-jev): Aaron Levin: 155x cheaper than Opus 5, about 20x faster, and it generalizes across operating systems. - [Browser Use + Jev](https://jevlibrary.dev/resources/browser-use-jev): Gregor Zunic's flight-search demo with a dynamic DOM action space. - [Jev Typewriter launch](https://jevlibrary.dev/resources/jev-typewriter-launch): Steve Krouse's playable 16-judgment demo and video. - [Model router built with Jev](https://jevlibrary.dev/resources/model-router-built-with-jev): Ephraim Duncan's demo where Jev decides which model should serve a request. - [Jev vs Qwen on Cerebras](https://jevlibrary.dev/resources/jev-vs-qwen-on-cerebras): Video comparison against a structured-output LLM baseline. - [Internal classifier field note](https://jevlibrary.dev/resources/internal-classifier-field-note): Matched-precision comparison against a private fine-tuned classifier. - [Jev as an agent safety monitor](https://jevlibrary.dev/resources/jev-as-an-agent-safety-monitor): Test report using Jev to check each agent action first: most attacks caught, almost no false blocks. - [Hide posts on X with natural language](https://jevlibrary.dev/resources/hide-posts-on-x-with-natural-language): Marcel Pociot's browser extension that collapses posts based on a Jev judgment. - [Jev plays Minecraft (r/accelerate)](https://jevlibrary.dev/resources/jev-plays-minecraft-r-accelerate): Work-in-progress demo of Jev driving Minecraft, including fleeing zombies at night. - [Vercel fx: Jev as a command safety reviewer](https://jevlibrary.dev/resources/vercel-fx-jev-as-a-command-safety-reviewer): Guillermo Rauch: Jev reviews every fx command, faster and more accurate than a chat model. - [Stagehand + Jev browser use](https://jevlibrary.dev/resources/stagehand-jev-browser-use): Observe the accessibility tree, Jev chooses the next action, Stagehand executes. - [OpenCode browser use powered by Jev](https://jevlibrary.dev/resources/opencode-browser-use-powered-by-jev): Preview of fast browser use with Jev and OpenCode's browser CLI. - [Ground Truth news-framing extension](https://jevlibrary.dev/resources/ground-truth-news-framing-extension): Browser extension that classifies an article's framing, type, topic, and loaded language with Jev. - [Jev in a Grammarly-style Mac app](https://jevlibrary.dev/resources/jev-in-a-grammarly-style-mac-app): Desktop writing app using Jev for fast structured writing judgments. - [Kalshi prediction-market bot](https://jevlibrary.dev/resources/kalshi-prediction-market-bot): Jev trades 15-minute and 1-hour BTC, ETH, and SOL markets on Kalshi. - [Model router CLI](https://jevlibrary.dev/resources/model-router-cli): Task plus subscription list in, Jev picks which model or agent should handle it. - [Support ticket classifier](https://jevlibrary.dev/resources/support-ticket-classifier): Jev labels category, urgency, and human-versus-auto handling for support tickets. - [ConsoleChaosRacing driven by Jev](https://jevlibrary.dev/resources/consolechaosracing-driven-by-jev): Racing UI wired to Jev driving decisions. - [skillbox + Jev skill routing](https://jevlibrary.dev/resources/skillbox-jev-skill-routing): MCP skill router where Jev picks the relevant skills instead of a long agent search. - [jev-rabbit PR review bot](https://jevlibrary.dev/resources/jev-rabbit-pr-review-bot): Work-in-progress PR reviewer with plain-English Jev rules. - [AIAvatarKit turn-end gate](https://jevlibrary.dev/resources/aiavatarkit-turn-end-gate): Voice-dialog turn-end detection using Jev scores after speech. - [Early Jev tools roundup](https://jevlibrary.dev/resources/early-jev-tools-roundup): Thread cataloguing the first wave of Jev tools: MCP servers, routers, reviewers, and browser agents. - [Jev: System One models explained (DataCamp)](https://jevlibrary.dev/resources/jev-system-one-models-explained-datacamp): Third-party write-up of the System One primitives, pricing, and vendor workflow evals. - [DuckDB Jev classifier](https://jevlibrary.dev/resources/duckdb-jev-classifier): DuckDB extension that classifies rows in CSV, Parquet, or DuckDB tables with Jev, about 10 seconds per 1,000 rows. - [Hook panel A/B tester](https://jevlibrary.dev/resources/hook-panel-a-b-tester): Near-real-time scoring of TikTok and Instagram hooks against about 100 personas. - [Jev gomoku harness](https://jevlibrary.dev/resources/jev-gomoku-harness): Local tactics shrink 225 moves to about 40 candidates, then Jev picks among tiered options. - [ViZDoom Jev agent](https://jevlibrary.dev/resources/vizdoom-jev-agent): Two decision channels on ViZDoom, navigation at 5 Hz and combat at 12 Hz, with an 18-kill test run. - [StarCraft Brood War WASM MCP demo](https://jevlibrary.dev/resources/starcraft-brood-war-wasm-mcp-demo): Brood War in WASM exposed as an MCP server, with Jev playing and still losing to a Zerg rush. - [Spanish AEPD corpus test](https://jevlibrary.dev/resources/spanish-aepd-corpus-test): Jev versus a hand-built regex on 544 public data-protection resolutions: 98.2% agreement for about five cents. - [Tabletop MMORPG action mapper](https://jevlibrary.dev/resources/tabletop-mmorpg-action-mapper): Eval of Jev turning free-text player intent into typed server actions: 96% agreement, 317 ms median. - [Jev in 34 seconds](https://jevlibrary.dev/resources/jev-in-34-seconds): Short video explainer of how Jev's typed-decision loop works. - [Wiki-link clicker demo](https://jevlibrary.dev/resources/wiki-link-clicker-demo): Page-level demo where Jev picks which candidate link to click toward a goal. - [One judge call vs twelve dimension scores](https://jevlibrary.dev/resources/one-judge-call-vs-twelve-dimension-scores): One direct Jev question per row against 12–14 Jev-scored dimensions with locally fitted weights on three classification tasks: 5,477 test rows, 25,174 Jev calls, $1.43. Decomposition wins on Japanese NLI (0.9076 vs 0.8373) but flags about 25× more hard benign rows as attacks (37.2% vs 1.5%). - [Verdict (Open-jev) launch thread](https://jevlibrary.dev/resources/verdict-open-jev-launch-thread): Hemant Kumar on his 151M ModernBERT reproduction: 0.83% adaptive calibration error, 3.0% of predictions flip when the option list is reversed, 35.6ms on CPU, with the failed use cases reported alongside the wins. - [SEO audit cost study driven by Jev triage](https://jevlibrary.dev/resources/seo-audit-cost-study-driven-by-jev-triage): Technical SEO audit cost study from Boring Tools Kit where Jev ranks striking-distance fixes and content gaps by calibrated probability. ## Jev for marketing (6 entries) Content, ads, brand visibility, and growth experiments. - [notra](https://jevlibrary.dev/projects/usenotra-notra): Marketing analytics platform whose feature flag routes brand-visibility classifiers off an LLM and onto Jev boolean decisions. - [draftpulse](https://jevlibrary.dev/projects/pekth-draftpulse): Experimental: live X draft viral scorer powered by TypeSafe Jev - [jev-seo](https://jevlibrary.dev/projects/akashpriyadarshii-jev-seo): 100% free ₹0 agent-first SEO & GEO CLI suite and MCP server in Rust replacing Semrush and OpenSEO via DuckDuckGo and TypeSafe Jev System One - [SuperX · post scoring](https://jevlibrary.dev/projects/superx-post-scoring): A reported Jev workflow that evaluates draft X posts across multiple questions, helping creators compare and refine their writing before publishing. - [StealAds · ad intelligence](https://jevlibrary.dev/projects/stealads-ad-intelligence): A demonstrated Jev workflow for breaking down competitor ads by hook, format, offer, CTA, and landing-page fit. The creator announced plans to bring the workflow to StealAds and MCP; current availability has not been verified. - [Finding what makes content work](https://jevlibrary.dev/projects/finding-what-makes-content-work): An author-reported experiment using Jev to classify past X posts by topic, hook, and tone, then compare those attributes with engagement. A content-research experiment, not a standalone app or a guarantee of growth.