Jev is TypeSafe's System One model. It answers typed questions about text with calibrated probabilities instead of generating prose, so code can branch, sort, and route on its judgments.
English · 简体中文
🌐 Browse the searchable gallery → Search, filter by scenario, and share results, in English or Chinese.
The most complete collection of what people build with Jev: 3,398 projects, demos, posts, and write-ups, gathered from GitHub, X, Reddit, Hacker News, YouTube, and the web, and organized by scenario. Every entry links to its original source and says what it does. Jev has three primitives: Choice picks one option, Score places something on an ordered scale, and Noul gives the probability that a statement is true.
This list is community-maintained and not affiliated with TypeSafe. The official sites are typesafe.ai and docs.typesafe.ai, and the official GitHub organization is typesafe-ai. Be careful with look-alike domains that claim to be official.
- Getting Started
- Browse by Scenario
- 💰 Finance and Trading
- 💻 Coding and Developer Tools
- 🌐 Browser and Computer Use
- 🤖 Agents and Orchestration
- 🎮 Games and Interactive
- 🦾 Robotics and Simulation
- 🔎 Search and RAG
- 🔒 Safety and Moderation
- 📊 Data and Evaluation
- 🎧 Customer Support and Sales
- 🔬 Legal, Health, and Science
- 🛒 Commerce and Marketing
- 🎨 Writing, Media, and Creative
- 🎤 Voice and Real-Time Interfaces
- 🧰 Personal Productivity
- 🎓 Education
- 🧪 Other Experiments
- Open Models and Compatible Servers
- Build with Jev
- Learn
- Jev Cheatsheet - One-page field guide to primitives, question design, confidence handling, limits, and tested SDK snippets.
- Jev in Practice (Chinese book) - Free Chinese book built from this gallery: 17 chapters on where Jev fits in real software, with every case checked against its source and EPUB and PDF downloads.
- Quick start - First request through the Playground, cURL, the Python SDK, or a coding agent.
- Playground - Try a state and a set of questions in the browser before writing code (sign-in required).
- How to build with TypeSafe - Core design guide on keeping control flow in code and breaking judgments into atomic questions.
- Agent skill - Teaches Claude Code, Codex, and other coding agents to design TypeSafe workflows from the live docs.
Highlights are ranked by community traction (stars, likes, points, and views). Open a scenario for its full gallery.
Trading agents, market signals, fraud and risk checks, and financial document processing.
 "Lost $31,680" trading-bot post MoonGotchi · X · ♥ 23.9k · 2026-09-19 Viral post claiming a trading bot built in an evening has lost $31,680; the attached video is Jarrod Watts's jev-trader demo in dry-run mode with simulated fills, so the loss is unverified and likely a joke. |
 jev-trader jarrodwatts · GitHub · ⭐ 1.9k · 2026-09-16 Demo bot on Kuru's MON-USDC order book on Monad where Jev answers buy or sell every block (about 300 ms) and code posts a post-only limit order; its spec says it is not trying to be profitable and runs no backtests. |
 Jev trading with $10,000 abolbuild · X · ♥ 1.6k · 2026-09-17 Experimental trading agent that hands Jev a $10,000 balance and lets it make the trading decisions, shown in a demo video. |
 tax-doc-classifier kyotofin · GitHub · ⭐ 351 · 2026-09-18 Sorts PDF pages into IRS form types with two Choices for about a tenth of a cent per page, with error rates on labeled test sets. |
 AI Hedge Fund with Jev virattt · X · ♥ 1.1k · 2026-09-18 Jev integration for the open-source AI Hedge Fund project: set a strategy, pick tickers and backtest with Jev making the trading decisions, so a run takes seconds rather than minutes. |
 Trading signal interpreter _trou3 · X · ♥ 987 · 2026-09-17 Trading-system demo in which Jev reads dozens of structured trading signals and turns them into buy, sell or hold decisions. |
Browse all 88 in Finance and Trading →
Code review, model routing for coding agents, context compaction, semantic search over code, and CI checks.
 fast-jev-compaction tamaratran · GitHub · ⭐ 6.1k · 2026-09-17 Claude Code plugin that replaces the compaction summary with two Nouls per tool call, keep the call and keep its result; Nous Research found the 0.5 default kept none of 851 calls. The npm package is another publisher's. |
 Adversarial browser release testing rafalwilinski · X · ♥ 5.4k · 2026-09-18 Massively parallel browser-based adversarial test suite that tries to break each software release, costing pennies per run. |
 Codex reasoning-effort router miu21590 · X · ♥ 3k · 2026-09-21 Codex setup where Jev changes GPT-6's reasoning effort during a task, adding thinking when stuck and cutting it on routine steps, for 50% lower Astra costs in the author's tests. |
 Jev PR reviewer redp314 · X · ♥ 2.8k · 2026-09-17 PR reviewer that sends a diff to Jev in one call and gets 14 typed checks back as probabilities, mapped to block, security review, nits or merge, for $0.00007 per PR. |
 App testing with OpenCode Neriousy · X · ♥ 1.3k · 2026-09-16 Demo of fast app testing that pairs Jev with the OpenCode coding agent. |
 jev-shell-history mrnugget · GitHub · ⭐ 96 · 2026-09-18 Zsh plugin that shows fish-style autosuggestions by asking Jev which of your last 100 distinct history entries you are most likely completing, displayed in grey with its score. |
Browse all 508 in Coding and Developer Tools →
Agents that click, type, and navigate real browsers, desktops, and phones.
 jev-ultrafast browser-use · GitHub · ⭐ 16.6k · 2026-09-16 Browser agent that picks each step's operation and target from an element table in one request, with a speculative target per operation and a small LLM only for typed text. |
OpenCode browser use with Jev thdxr · X · ♥ 3.7k · 2026-09-16 Preview of fast browser automation for app testing that pairs Jev with OpenCode's browser-use CLI. |
 Jev Use for Codex Saccc_c · X · ♥ 1.8k · 2026-09-18 Computer use for Codex with Jev as the decision layer, shown adding a Mac calendar event faster and more smoothly than Codex's built-in computer use at similar token cost. |
 typesafe-computer-use awlevin · GitHub · ⭐ 769 · 2026-09-16 Computer-use agent for macOS that reads the screen with OCR and the accessibility tree, has Jev pick the next action and target, and clicks, for about $0.0002 a step, calling a writing model only for free-text fields. |
 TipTour milind-soni · GitHub · ⭐ 644 · 2026-04-08 Menu bar computer-use app for macOS whose default mode takes a typed click-based task, has Jev choose among locally detected on-screen controls, then executes and validates each action. |
 Fast computer use savboj · X · ♥ 1.3k · 2026-09-17 Computer-use demo where Jev picks each action so quickly that the task finishes in a blink, pitched as 100x faster than an LLM. |
Browse all 128 in Browser and Computer Use →
Tool and skill selection, approvals, planning, memory, and harness decisions for general-purpose agents.
 AutoGPT TypeSafe blocks Significant-Gravitas · GitHub · ⭐ 187.5k repo · 2023-03-16 Seven no-code blocks, including a five-exit router, a yes, no, or unsure split, and a score filter. |
 jev-usage-router 0xCodila · X · ♥ 2.4k · 2026-09-19 Usage router for Grok Bot: before browsing, research, retries or spawning extra bots, a Jev Choice picks the route, with a shadow mode, logs and a kill switch before it goes active. |
 Jev model router ephraimduncan · X · ♥ 1.9k · 2026-09-17 Model router that asks Jev which language model best fits each incoming request and forwards the request to that model, shown in a demo video. |
 AgentRun _aj · X · ♥ 1.6k · 2026-09-21 Harness from Grep.ai for repetitive knowledge work that learns the job as it runs, moving steps from LLM calls to code; 100,000 compliance alerts cost under $26K versus over $290K on Opus 5. |
 Chat bot with no LLM CodingGarden · X · ♥ 1.2k · 2026-09-17 Chat assistant built without any LLM: Jev picks the tool and its arguments across web search, Wikipedia, weather, Todoist and Home Assistant, so cited answers arrive instantly. |
 Goal-completion verifier omarsar0 · X · ♥ 1k · 2026-09-19 Custom verifier for the /goal feature in an agent harness that uses Jev to check after every turn whether the goal is actually complete, replacing an expensive reasoning model. |
Browse all 245 in Agents and Orchestration →
Game-playing agents, real-time decisions, and playful interactive demos.
 Jev plays Doom CompleteSkeptic · X · ♥ 5k · 2026-09-15 TypeSafe's launch demo of Jev playing Doom in real time from structured game state, making about 10 calls per second for roughly $7 per hour. |
 Jev plays Subway Surfers _MaxBlade · X · ♥ 4.1k · 2026-09-17 Jev playing Subway Surfers at superhuman speed, including 50 games at once, with the whole run costing less than a cent. |
 Jev plays Smash Bros. maubaron · X · ♥ 3.7k · 2026-09-18 Jev controlling all four characters in a Smash Bros. match against itself, picking each move in a fraction of a second across 22 million tokens for a few cents. |
 Wikipedia race CompleteSkeptic · X · ♥ 2.6k · 2026-09-15 Launch demo in which Jev races from one Wikipedia page to another using only links, choosing among hundreds to thousands of links at each step. |
 typesafe-mario fhshaik · GitHub · ⭐ 338 · 2026-09-16 Plays Super Mario with a Choice for the controller action, a jump Noul, and a danger Score. |
 Real-time level generation with Jev Hugo Duprez (Sprite Fusion) · Article · ♥ 2.8k · 2026-09-18 Endless platformer whose terrain is generated in real time from game state, with Jev choosing each segment's width, gap, height and tile type while game code places the tiles. |
Browse all 272 in Games and Interactive →
Embodied control, driving simulators, and decisions in the physical world.
 Traffic-light control leojrr · X · ♥ 7k · 2026-09-19 City simulation in which Jev controls every traffic light; turning it off raises the average wait time by more than 600%. |
 Jev MuJoCo arm policy dimentary · X · ♥ 624 · 2026-09-18 Test of Jev as a real-time robot-arm policy in MuJoCo, splitting each update into two calls (what to do next, then how to move arm and gripper) from text geometry and contacts. |
 Jev robot control openroboto-ai · GitHub · ⭐ 39 · 2026-09-19 MuJoCo run where Jev 1.13, GPT-6 Astra, and GPT-4.1 mini steer an xArm7 to put an apple on a plate by choosing motion directions and gripper commands; Jev placed it for $0.018825 versus $5.933624. |
 Jevpilot jpschroeder · Reddit · ▲ 182 · 2026-09-17 Simulated self-driving demo in a 3D city where Jev steers the car and follows turn-by-turn directions, which Justin Schroeder says he built in under an hour. |
 Jev dual-arm robot control Raptor_zip · X · ♥ 432 · 2026-09-18 Dual-arm robot where Jev handles the decision layer of a three-layer controller while IK and physics stay in code, responding in 500ms at about 0.5 yen per trial. |
 JevPilot standardagents · GitHub · ⭐ 160 · 2026-09-17 Three.js driving simulator where Jev picks motion and direction as the autopilot. |
Browse all 61 in Robotics and Simulation →
Reranking, retrieval filtering, semantic search, and knowledge graphs.
 Semantic Find (⌘F) extension Saboo_Shubham_ · X · ♥ 2.3k · 2026-09-20 Open-source Chrome extension that replaces Find on page with semantic matching, highlighting passages that mean what you typed in near real time. |
 jev-search superagents-lab · GitHub · ⭐ 387 · 2026-09-17 Natural-language web search that picks the time range and query with Choices and keeps each source only if its Noul passes (needs a Search1API key). |
 Zillow natural-language search venturetwins · X · ♥ 949 · 2026-09-19 Scans thousands of Zillow listings and classifies them by things the site has no filter for, like architecture, renovation status or distance to freeways, in under 20 seconds for $0.18. |
 OpenViking reranker volcengine · GitHub · ⭐ 38.4k repo · 2026-01-05 Rerank provider for a context database that scores every document with a Noul in one request. |
 Hindsight Jev reranker vectorize-io · GitHub · ⭐ 24.9k repo · 2025-10-30 Reranker provider in the Hindsight agent-memory system that asks Jev one question with every recall candidate as an option, so the answer is the ranking, in a single request. |
 Web Search Plus Jev robbyczgw-cla · GitHub · ⭐ 414 · 2026-03-17 Web Search Plus, a Hermes agent plugin for multi-provider search and page extraction, adds optional Jev decisions at gated seams, off by default and confidence-thresholded. |
Browse all 85 in Search and RAG →
Guardrails, jailbreak and injection screening, content moderation, and policy checks.
 Real-time slop detector RBilgil · X · ♥ 16k · 2026-09-18 Real-time detector that flags AI-generated slop in the feed while you scroll, powered by Jev. |
 fx auto-mode safety reviewer rauchg · X · ♥ 3.9k · 2026-09-16 Safety reviewer that checks every command in the fx coding agent's auto mode; Jev benchmarked up to 18x faster at p95 and more accurate than the GPT Luna model it replaces. |
 Real-time chat moderation Rare_Guide_9830 · Reddit · ▲ 264 · 2026-09-19 Simulated live-stream chat where Jev sorts each incoming message into viewer-chosen feeds such as Questions, Feedback, or Funny, collapsing repeats and dropping spam. |
Dub malicious link check dubinc · GitHub · ⭐ 24.8k repo · 2022-08-27 Screens every new short link on the Dub link platform with Jev after a domain blacklist check, blocking phishing, malware, cloaking redirectors, gambling and adult destinations. |
 tg-spam Jev checker umputun · GitHub · ⭐ 446 · 2023-11-23 TG-Spam, a self-hosted Telegram anti-spam bot and library, adds a Jev spam checker that judges each message with a typed question alongside its other detectors. |
 Jev Detector jozef_gherman · X · ♥ 301 · 2026-09-17 Free AI-slop detector that highlights formulaic, generated-sounding sentences in up to about 10,000 words in roughly 2 seconds. |
Browse all 128 in Safety and Moderation →
Labeling, classification at scale, data pipelines, observability, and LLM evals.
 pg-jev realZachi · GitHub · ⭐ 290 · 2026-09-17 PostgreSQL extension for WHERE jev(t, '...') queries that batches 20 rows per request and reports how accuracy falls with larger batches. |
World Monitor Jev headline classifier koala73 · GitHub · ⭐ 87.2k repo · 2026-01-08 Headline classifier in a real-time geopolitical news dashboard that asks jev-1.13.0 for a five-level severity and one of 14 topic categories per headline, validating answers and falling back on failure. |
 DuckDB Jev extension hamiltonulmer · X · ♥ 1.5k · 2026-09-16 DuckDB extension that classifies rows of any CSV, Parquet or DuckDB table with Jev from SQL, taking about 10 seconds for 1k rows. |
 Airflow LLM branching apache · GitHub · ⭐ 46.9k repo · 2015-04-13 Picks the next task with a Jev Choice and hands low-confidence cases to a person. |
 Flowsery session replay triage tarasshyn · X · ♥ 829 · 2026-09-18 Ran Jev over 3 million session-replay events: in 40 seconds it reviewed 3,247 sessions, caught 132 rage clicks, 116 dead clicks and 95 JavaScript errors, and opened 213 draft fix PRs for $2.17. |
 Doc-OCR router MisbahSy · X · ♥ 483 · 2026-09-18 Router that looks at a PDF page by page, has Jev decide which pages actually need OCR, and extracts the rest locally, cutting OCR cost and time. |
Browse all 134 in Data and Evaluation →
Ticket routing, email triage, lead scoring, and CRM automation.
 Lead and outreach scoring romanbuildsaas · X · ♥ 3.3k · 2026-09-18 Scoring of 700 high-intent leads and personalized outreach messages in 40 seconds for $0.09, predicting each message's performance with a confidence score and flagging lead-message mismatches. |
 Sales Copilot with Jev Kelvin Cleto · YouTube · ♥ 1.9k · 2026-09-20 Portuguese walkthrough of a sales-meeting copilot that tracks calls and playbook steps, where Jev answers cheap decision questions before any LLM call to cut costs. |
Twenty Classify workflow action twentyhq · GitHub · ⭐ 57.2k repo · 2022-12-01 Classify step in the open-source Twenty CRM's workflows that asks Jev choice, score or boolean questions about a record, so later steps can branch on the answers and probabilities. |
 Box incident triage Box · X · ♥ 31 · 2026-09-18 Box workflow that pulls an incident report, asks Jev whether it is customer-facing and how severe it is, moves the file to Escalate, Monitor or Review, and sends low-confidence cases to a human. |
 RedReplier buying-signal scoring tarasshyn · X · ♥ 463 · 2026-09-18 Scored 1,759,932 buying signals from 1.7 million mentions across Reddit, X, Bluesky, Hacker News and Facebook in 53 seconds for $0.65, ranking intent, product fit and competitor mentions. |
 Real-time Clippy sotak · X · ♥ 176 · 2026-09-17 In-product Clippy that watches how someone uses an app and appears only when Jev judges they are hesitating, confused or stuck, with its reactions also chosen by Jev. |
Browse all 43 in Customer Support and Sales →
Compliance checks, medical and scientific screening, and research workflows.
 1kpapers nutlope · App · ♥ 2k · 2026-09-17 Site mapping 1,018 AI research papers from 2025-2026 by topic, where each paper is summarized by DeepSeek V4 Flash and then classified into 24 topics by Jev for $0.08 total. |
 Adverse drug effect detection with GEPA Paiky16 · X · ♥ 138 · 2026-09-20 Uses Jev to flag sentences reporting suspected adverse drug effects in medical literature, then GEPA prompt optimization raised F1 from 69.1% to 79.7% and cut false positives from 47 to 22. |
 Live clinical consultation classifier rheum_ai · X · ♥ 432 · 2026-09-17 Prototype that feeds an ambient-scribe transcript to Jev during a clinical consultation to traverse a medical ontology, classify symptoms, update the differential diagnosis and flag red flags in real time. |
 LawAnalyzer rothken · X · ♥ 51 · 2026-09-21 Free beta construction set from a law firm's AI lab for building legal-analysis applets on Jev, with reusable JSON and Jev code outputs that lawyers and students can save and adapt. |
 Jev Reviewer choxos · GitHub · ⭐ 32 · 2026-09-18 In-browser data extraction tool for systematic reviews that answers extraction-form or RoB 2, ROBINS-I, QUADAS-2, and TIDieR template questions with verbatim quotes and page locations from trial reports. |
 Jev reads every AI paper DevaiahShrithan · Article · ♥ 6 · 2026-09-21 Ran 464,720 arXiv AI abstracts from 1993 to 2026 through Jev with five questions each (state-of-the-art claims, released code, LLM-written style, paper type, hype level) to chart how AI papers changed. |
Browse all 28 in Legal, Health, and Science →
Product catalogs, ads, reviews, pricing, and marketing workflows.
 Competitor ad breakdown TheMattBerman · X · ♥ 6.7k · 2026-09-17 Breakdown of 724 live ads from 37 brands in 40 seconds for 9 cents: Jev tagged each ad's hook, format, offer, CTA, awareness stage and landing-page mismatch. |
 Drape real-time try-on nailthy62 · X · ♥ 4.3k · 2026-09-19 Real-time virtual try-on experiment for Drape: Jev reads the speech transcript and the current outfit, picks an item from the closet and swaps the outfit live, at $0.0011 and ~620ms per decision. |
 Internal-link SEO audit borjafat · X · ♥ 3.9k · 2026-09-18 Reads all 586 pages of a site in 45.1 seconds and rebuilds the internal link map for $0.21, placing 584 links and refusing 139 pages with no honest fit; Claude Opus 5 got through 21 pages in the same time. |
 NewsJack brand news matching elvissun · X · ♥ 3.9k · 2026-09-18 Viral demo claiming Jev read 384 morning stories for 15 brands in 24.9 s for $0.19 while Claude Opus 5 got through 4 for $0.77; the linked demo runs a mock engine by default, so the figures are the author's own. |
 Ryze SEO/GEO agents on Jev irabukht · X · ♥ 1.5k · 2026-09-18 Account of SEO and GEO audit-and-fix agents whose per-client cost fell 90% from about $250 after moving analytics reads, citation scans and gap analysis to Jev. |
 Maxfusion competitor-ad research OriSilver · X · ♥ 582 · 2026-09-18 Competitor research that classified 1,891 ads from Resilia's ad library by customer-journey stage and ad style in 19 seconds for $0.12, with a full account deep dive, coming to the Maxfusion MCP. |
Browse all 45 in Commerce and Marketing →
Writing feedback, generative UI, music, art, and social media tools.
 json-render + Jev ctatedev · X · ♥ 7.7k · 2026-09-18 Generative UI experiment where Jev chooses components and actions from your own design system and json-render draws the interface in milliseconds. |
 Colour understanding experiment mattdesl · X · ♥ 5.6k · 2026-09-18 Video experiment probing whether Jev understands colour, exploring fast, cheap judgments as a basis for new UI and UX paradigms. |
 Parallel pixel drawing anshuc · X · ♥ 1.6k · 2026-09-16 Experiment that has Jev draw a picture by predicting every pixel in parallel. |
 jevmeter ChetasLua · GitHub · ⭐ 81 · 2026-09-17 CLI that transcribes any video, asks Jev five yes/no questions about every sentence from a chosen preset, such as dodging a debate question, and renders the probabilities as live meters in a 16:9 edit you can post. |
 SuperX post scorer robj3d3 · X · ♥ 1.4k · 2026-09-17 Post scorer for X that asks Jev 61 questions per draft in about 1 second for $0.0004, fitted on 9,481 posts from 207 creators and picking the viral post 2 in 3 times. |
 X algorithm rebuilt with Jev leojrr · X · ♥ 1.2k · 2026-09-17 Recreation of the X ranking algorithm with Jev that simulates how far a post will reach, using the published weights and a global feed of everyone's posts. |
Browse all 133 in Writing, Media, and Creative →
Voice assistants and interfaces that react while you type or speak.
 Voice-controlled Mac agent instantricecook · X · ♥ 6.1k · 2026-09-18 Voice-controlled computer use for the Mac that acts on spoken instructions as they arrive, opening Notes before the user finishes the sentence. |
 Point-and-speak canvas jackcheng · X · ♥ 5k · 2026-09-17 Whiteboard canvas controlled by pointing at a webcam and speaking, where Jev picks the action, target and location; the post shares only a video, with no code or data, and one frame shows a 262 ms judgment. |
 Real-time voice browser control moritzkremb · X · ♥ 3.8k · 2026-09-17 Voice control for the browser: the spoken transcript goes to Jev, which returns probabilities in ~300ms and triggers the click, at $0.0002 per decision. |
 Always-on assistant without a wake word _MaxBlade · X · ♥ 1.6k · 2026-09-18 Always-listening voice assistant with no wake word, where Jev decides from probabilities whether speech is a command for the computer or ordinary conversation. |
 Jev + Rime input method nhciao · X · ♥ 763 · 2026-09-21 Test pairing Jev with the open-source Rime (Squirrel) Chinese input method to rank the wanted character higher among candidates while typing. |
 Automatic IME mode switching kzkhykw · X · ♥ 683 · 2026-09-21 Prototype that watches typing, uses Jev to judge Japanese versus English, switches the keyboard IME mode automatically, and converts already-typed romaji like "watashi" into Japanese. |
Browse all 53 in Voice and Real-Time Interfaces →
Email, notes, calendars, browsing, and everyday automation.
 Jaste Marcus Lowe · App · ♥ 9.7k · 2026-09-21 Mac clipboard app whose Smart Paste mode uses Jev to pick the saved clipboard entry that fits the currently focused field; beta with BYOK and a local mode announced. |
 Real-time Jev ad blocker iam_zachi · X · ♥ 3.9k · 2026-09-17 Browser extension that classifies every DOM element as ad or not with Jev and removes ads from the page in real time. |
 500-email classification rileybrown · X · ♥ 3.9k · 2026-09-17 Demo of Jev classifying 500 emails in seconds for 3.5 cents. |
 Jev email classification test ryanvogel · X · ♥ 3.5k · 2026-09-16 Test of Jev classifying 1,500 of the author's own emails, shown in a video of batch inbox labeling. |
 Jev Chat Assistant jev-chat · GitHub · ⭐ 1.8k · 2026-09-21 Android overlay that reads visible WeChat, QQ and X chats through accessibility, has Jev judge the other person's intent, risk level and best action, ranks three DeepSeek-drafted replies and fills one in without sending. |
 Doomscroll Filter SuperX · App · ♥ 1.7k · 2026-09-19 Free tool where you pick a niche and Jev reads the last few days of X posts and sorts them into Read, Skim, or Pass. |
Browse all 126 in Personal Productivity →
Tutoring, grading, quizzes, and learning tools.
 talkr 0xaniol · X · ♥ 111 · 2026-09-18 Speaking-practice app that gives you a topic, records 30 seconds of speech and has Jev score pauses, filler words, repetition, confidence and clarity with feedback. |
 Exam question predictor hametgholizadeh · X · ♥ 83 · 2026-09-19 Ranks 80 real exam questions and 297 practice questions by how likely each is to appear on the actual exam, done in 80 seconds for $0.0256. |
 Working Memory Jev (Passage) AustinAWay · GitHub · ⭐ 39 · 2026-09-18 Experimental local teaching aid that shows educators where an instructional passage may ask learners to hold too many ideas or relationships at once as the text unfolds. |
ReadAloud (dasheng) wquguru · GitHub · ⭐ 122 · 2026-09-20 English read-aloud trainer where the R2T2 streaming ASR transcribes your speech, Jev judges whether each mismatched word was misread and how, and code turns those judgments into a score. |
Keating Jev teaching judge Diogenesoftoronto · GitHub · ⭐ 36 repo · 2026-04-01 Typed-judgment reviewer for the Keating AI tutor's teaching rubric: Jev scores each dimension and selects evidence spans enumerated by code, so quotes cannot be invented, plus a harness comparing it with the incumbent LLM judge. |
SkellySpeak Jev assessment study freemocap · GitHub · ⭐ 35 repo · 2025-01-24 Benchmark in the SkellySpeak language-learning app that assesses learner messages against 45 coaching skills with Jev and compares it to a dense Gemini control in a 648-request Spanish factorial study with a dedicated dashboard. |
Everything that does not fit a single scenario yet.
 jev-even-odd steventey · X · ♥ 2.4k · 2026-09-20 Tongue-in-cheek npm package that checks whether a number is even or odd by asking Jev through the AI SDK. |
 Candidate-company job matching sarvagya_kul · X · ♥ 1.8k · 2026-09-18 Matching of one candidate profile against 400 companies in 12 seconds for $0.0005, predicting which jobs they are most likely to land and flagging mismatches. |
 Jevassembler neogoose_btw · X · ♥ 1.5k · 2026-09-19 Satirical experiment that skips writing code: you give it a task and Jev predicts the next CPU instruction to execute at runtime. |
 Kill My Idea monteduro · GitHub · ⭐ 76 · 2026-09-17 Web app that judges a startup idea as KILL IT, FIX IT, or SHIP IT from one request of 10 parallel Jev questions, with local weights and gates computing the verdict. |
 Natural Language Logic Interpreter narphorium · GitHub · ⭐ 6 · 2026-09-19 Step-through logic interpreter that proves goals over plain-English facts and rules by SLD resolution as Prolog does, with Jev deciding when two sentences state the same fact so they unify. |
 Jev as a letter-by-letter LLM princecaarlo · Reddit · ▲ 81 · 2026-09-17 Hack that makes Jev write text by choosing one letter at a time, which set off a debate about using decision models as generators. |
Browse all 46 in Other Experiments →
Community models and servers that imitate Jev's interface. Their accuracy and calibration are self-reported and generally below Jev's, so evaluate them on your own data.
 Laya NandhaKishorM · GitHub · ⭐ 12k · 2026-09-18 Open, local non-autoregressive decision models on ModernBERT-style encoders answering Choice, Score and Noul in about 33 ms per question; base weights score below majority zero-shot and ship over-confident, so fine-tune first. |
 Qwen-2.5-1B-RLCD harshatheg · Hugging Face · ♥ 524 · 2026-09-16 Parallel constrained decoding engine for Apple Silicon that answers multi-field decision schemas in one pass over stock Qwen2.5-1.5B, shipped as code only with no trained RLCD weights. |
 Laya-MLX mizorewww · GitHub · ⭐ 4.3k · 2026-09-19 Native MLX runtime for the open Laya typed-decision checkpoints on Apple Silicon: 13.4 ms median per short English decision and 7.4 ms with the multilingual checkpoint, with no PyTorch or cloud API; demoed on Snake. |
 SemIf (formerly OpenJev) TheoLeeCJ · GitHub · ⭐ 3.4k · 2026-09-16 Independent Jev-like project that answers semantic if-questions by reading option logits from a frozen 4B open model on a home RTX 3090, with a browser demo and no text generation. |
 Distilled 4B local decision model taroleo · X · ♥ 3k · 2026-09-19 Distillation of DeepSeek V4 Flash judgments into a Jev-style 4B local model over 26 hours on a DGX Spark, beating the teacher's instant mode at 1/20 the size with about 22ms per decision. |
 Laya vs Jev at Tetris atomic_chat_hq · X · ♥ 2.8k · 2026-09-21 Tetris showdown in which the open-weights Laya model, running locally on a 16GB MacBook Air, beats cloud Jev by making decisions 11 times faster. |
Browse all 241 in Open Models and Compatible Servers →
Ways to call Jev from your stack: hosted access, framework adapters, observability, and community SDKs.
- OpenCode Zen Jev endpoint - OpenCode's Zen gateway serves Jev 1.13 at a /v1/systemone endpoint with the Zen API key, plus a limited-time free jev-1.13-free model.
- Jev on OpenRouter - OpenRouter's announcement that Jev is available in beta through its API, returning a typed decision with a probability instead of generated text.
- Convex AI Gateway Jev support - Convex's AI Gateway serves Jev as typesafe/jev-1.13 through a decisions endpoint, callable from Convex actions via AI SDK's evaluate and the @convex-dev/ai-sdk-provider package.
- Jev on the Venice API - Demo marking Jev's beta launch on the Venice API, classifying 24,000 Hacker News posts into 12 categories in about 2 minutes.
- Bifrost TypeSafe provider - TypeSafe provider in the Bifrost AI gateway that exposes a drop-in /typesafe prefix, so clients written for api.typesafe.ai, including the official SDK, work through Bifrost unchanged.
- GPT-Load Jev channel - Jev channel module for the self-hosted GPT-Load AI gateway, adding TypeSafe's official API as a provider with batch key import, scheduling and failover.
- Experiential TypeSafe provider - TypeSafe provider in the Experiential open-source model gateway that dispatches Jev decisions natively and refuses to treat Jev as a chat model.
- Cloudflare Jev model catalog - Cloudflare's model catalog entry for typesafe/jev, listing Jev for Noul, Choice and Score evaluation at $0.042 per million input tokens and free output, with a worked example.
- Pollinations Jev API - The Pollinations gen API serves Jev as typesafe/jev-1.13 through a typed POST /alpha/decisions endpoint and Chat Completions, plus an Ask Jev MCP server with a jev_decide tool.
- Jev on Fly.io Sprites - Fly.io's TypeSafe connector for Sprites, which injects your Jev API key at a gateway so agents running inside hardware-isolated Sprites can call Jev without the key entering the sandbox.
- langchain-typesafe - LangChain partner package with a TypeSafeClassifier runnable for Choice, Noul and Score questions, plus experimental auto-mode and model-router middleware.
- ai-cli - Vercel Labs' terminal AI tool, installed with npm, that lets any agent harness ask Jev yes/no questions, choose between options, and score against criteria from the command line.
- Composio - TypeScript provider that picks and gates tool calls with a Choice and binds closed-set arguments before execution.
- AI SDK TypeSafe provider - Official AI SDK provider package @ai-sdk/typesafe-ai that runs Choice, Score and Boolean questions against Jev through the experimental evaluate API.
- Pydantic AI TypeSafeModel - Pydantic AI model class that runs decision agents on Jev: each field of the output_type becomes one question and the answers fill the output, so swapping the model name compares Jev with an LLM.
- Jev workflow builder - Liveblocks demo of a multiplayer visual workflow builder that wires Jev and LLM nodes together, runs workflows through a REST API, and shows test-run previews and live cursors.
- LangChain.js - JavaScript version of the classifier and the routing and approval middleware.
- @effect/ai-typesafe - Effect's DecisionModel provider for TypeSafe's System One API, supporting classification, ordered ratings and probabilities through Effect HttpClient, with provider distributions preserved rather than normalized.
- System One adapter - Drop-in
TypeSafeClientreplacement backed by LLM APIs, for comparing cost, speed, and quality with Jev on your own workflow. - Ash AI evaluate - Elixir Ash framework extension whose evaluate/2 maps an Ash action onto typed questions for evaluation models like Jev, returning typed answers with probabilities and confidence.
See all 172 Framework Adapters →
- Opik TypeSafe integration - Opik Python SDK integration that wraps sync and async TypeSafe clients so every Jev call is traced in Opik's LLM observability and evaluation platform.
- Langfuse TypeSafe integration - Integration guide and notebook for tracing Jev System One calls in Langfuse via OpenInference auto-instrumentation, with no client wrapper.
- Phoenix TypeSafe tracing - OpenInference instrumentation for the TypeSafe Python and TypeScript SDKs that records each System One call's state, questions and typed answers as spans in Arize Phoenix.
- OpenInference TypeSafe instrumentation - OpenTelemetry instrumentation for the TypeSafe Python SDK that traces each Jev System One call's state, model, questions and typed answers, usable with any OTel backend.
- Jeview - Unofficial local gateway that sits between your code and TypeSafe, forwards every Jev request, stores each call in SQLite, and draws calls on a live map as they happen.
- genai-prices TypeSafe provider - Pydantic library for calculating LLM API costs, extended with TypeSafe pricing so Jev calls to /v1/systemone are matched and billed per input token.
- Laminar TypeSafe instrumentation - OpenTelemetry instrumentation in the Laminar Python SDK that traces TypeSafe SDK system_one calls to Jev as spans alongside other LLM calls.
- Braintrust TypeSafe instrumentation - Braintrust JavaScript SDK instrumentation for @typesafe-ai/sdk: wrapTypeSafe and auto-instrumentation trace every systemOne call into Braintrust spans, alongside tracing for the AI SDK evaluate call.
- Braintrust Python TypeSafe integration - Built-in integration in Braintrust's Python tracing and evals SDK that auto-instruments typesafe-sdk system_one calls so Jev requests and answers show up as Braintrust spans.
- Laminar TypeSafe instrumentation - OpenTelemetry instrumentation in Laminar's TypeScript SDK that patches the TypeSafe SDK's systemOne calls to record Jev requests, responses and errors as spans.
- rust-sysone - Early unofficial Rust client for the System One API from the author of the genai crate, with a fluent Request builder and typed Noul, Choice and Score questions.
- http4k TypeSafe connector - TypeSafe connector for the http4k Kotlin toolkit with a typed System One client and a fake, exposing Jev Noul, Choice and Score questions as http4k actions.
- ruby_decision_model - Standard-library-only Ruby client for decision models such as Jev, with one Client that talks to OpenRouter by default or TypeSafe’s native API and parses choices, probabilities, scores and usage.
- Jev for OTP - Elixir client that treats Jev as an OTP peer process: a GenServer sends state and typed questions, and each answer arrives as a message to pattern match on, with a hundred calls able to be in flight.
- TypeSafe Swift SDK - SwiftPM client for the TypeSafe System One API that follows the official JavaScript SDK's behavior for noul, choice, and score questions, with a small demo app.
- Hunch - Ruby and Rails gem for probabilistic control flow that turns Jev answers into Ruby values, with chance, pick and rate calls and graded predicates such as likely? for branching directly on a judgment.
- swift-typesafe - Unofficial Swift 6.4 SDK following the Python SDK's 0.7.0 API, with a @QuestionSet macro that generates typed answers, dynamic questions and Linux support.
- typesafe-sdk-go (atharvamhaske) - Unofficial Go SDK built to the same wire contract as the official Python and JavaScript SDKs, with typed choice, score and noul questions, a typed answer union and model discovery.
- typesafe-ai (Rust) - Typed Rust client for System One with an async reqwest or blocking ureq backend and observable retries, deserializing Noul, Choice and Score answers into Rust enums with usage data.
- Go SDK - Community Go client for the System One endpoint.
Official docs and cookbooks, plus the best guides, analyses, benchmarks, and talks from the community.
- System One - What separates a fast decision model from a text-generating LLM, and where each fits.
- AI primer - Why Jev is trained with reinforcement learning for calibrated decisions (RLCD) rather than for pleasing text.
- State - How to shape the evidence that every question in a request is judged against.
- Primitives - Choice, Score, and Noul compared, with rules for picking one and asking many at once.
- Choice - Selects one of up to 255 options and returns a probability for each.
- Score - Places the state on 2 to 10 described levels and returns a probability-weighted position.
- Noul - Returns the probability that a yes-or-no condition holds.
- Advanced structure - Using JSON in instructions and criteria for definitions, contrasts, exclusions, and examples.
- Confidence - How confidence differs from probability and how to gate actions on it by risk.
- Example use cases - Ideas across 18 areas, from support triage and recruiting to financial crime and knowledge graphs.
- typesafe-sdk-python - Official Python client, published on PyPI as
typesafe-sdk. - typesafe-sdk-js - Official JavaScript and TypeScript client for Node.js, published on npm as
@typesafe-ai/sdk. - Workflow evals - Compares many models running four real workflows as decomposed questions versus as a single prompt.
- Introducing System One models and Jev - Launch post explaining the bet on decision models over text generators.
- Manifesto - TypeSafe's argument for AI-powered software where code, not an agent loop, owns the workflow.
- Speculative fan-out - Ask every question you might need, including branch-specific ones, in one request and let code read only the relevant answers.
- Confidence-gated routing - Uses confidence as a second axis, with stricter thresholds for riskier actions such as money transfers.
- Composite scoring - Scores each dimension separately and combines them with weights in code, so priorities change without touching the questions.
- Intent routing - Classifies requests with a Choice and a complexity Score, then sends each to code, a specialist LLM, or a human.
- Hierarchical classification - Walks deep taxonomies such as patent codes, retail products, MeSH, and a source tree with one Choice per node and beam search over the probabilities.
- Classification using confidence - Sorts 60 SEC filings into 75 industry groups and falls back to the broader division below 0.9 confidence, turning 39 correct answers into 48 useful ones.
- Smart home assistant demo - Interprets home commands with a long speculative fan-out of Choices, plus a Noul that spots compound requests for an LLM to split.
- Function calling - Maps trading requests onto ten ordinary typed functions, with Choices for the function and closed-set arguments and Nouls for which arguments were stated.
- Skill suggestion - Picks at most one of 182 agent skills per turn in two requests, cutting wrong skill loads from 16.8% to 7.3%.
- Re-ranking - Scores each BM25 candidate with one Noul per query-passage pair, lifting top-10 legal retrieval accuracy from 38% to 62% for about $0.06 in total.
- Line-by-line search - Ranks 218 lines of a terms-of-service document with a single Choice and uses a Noul to say when the document has no answer.
- Classifying RAG passages - Runs four Nouls per retrieved passage to drop prompt injections and off-topic text and to flag passages that contradict the question.
- Date extraction - Reads date parts with Choices and leaves all calendar math to code, sending low-confidence dates to review.
- Pre-parsed value extraction - Finds emails, phone numbers, and amounts with regular expressions, then lets a Choice select the requested one so values are never invented.
See all 18 Official Cookbooks →
- Jev experiments - Twenty-one low-latency demo apps, such as reranking 50 candidates in a single request.
- TypeSafe skills - Source of the agent skill, installable as a Claude Code plugin or through skills.sh.
- Building with Jev skill - Compact agent skill that teaches coding agents to structure programs around Jev.
- Jevify - Prompt to paste into a coding agent that has it study the Jev docs and your codebase, then find where cheap semantic judgments could cut cost and latency or enable new features.
- Hello Jev (Real Python) - Companion code for Real Python's Get Started With Jev in Python video: a train-station help desk that swaps strict Y/N input parsing for a single Noul question.
- AI cookbook for Jev - Nine runnable examples plus the four official patterns, written against the current Python SDK.
- Easy-Jev - Interactive playground where you change the inputs and watch Jev's classifications update in real time.
- Jev typed decisions tutorial - Marktechpost notebook that walks through Jev typed decisions: ticket triage, recomputing confidence, resume scoring, intent routing and a home-automation tool picker, tracking cost as it goes.
- JEV Playground - Simple web playground for trying Jev by entering text context and asking Noul, Choice or Score questions.
- Jevify - Agent skill that teaches a coding agent to spot work Jev can handle, design Noul, Choice and Score question packs, and learn from recent community experiments, with a client script for API-backed test runs.
See all 72 Examples and Skills →
- Building a Harness with Jev - Guide to adding Jev to a LangChain agent harness, covering how Jev works, where it fits in the agent loop, model routing and pre-tool risk checks as middleware.
- Jev Engineering roadmap - X article with a 10-step roadmap for setting up Jev as the decision layer that tells agents and LLMs what to do next.
- 30 things you can do with Jev - Japanese-language introduction to what Jev does and does not do, walking through 30 real prototypes and demos (flight search, browser agents, games, trading bots) with reported speed and cost.
- Jev Engineering in 10 steps - X article laying out a 10-step setup that moves an agent's yes/no, next-worker and relevance-scoring calls from an LLM to Jev, then adds a model router and a gate for risky tool calls.
- Jev x Codex practical guide - Japanese guide to installing the TypeSafe skill in Codex, separating generation from Jev judgments, published experiments, work applications, and ways to improve decision accuracy.
- Getting started with the TypeSafe skill - Two-step starter: install the official typesafe-ai agent skill, then ask your coding agent to use /typesafe-ai to find slow, costly LLM calls that Jev could replace.
- Build your own Jev (100% local) - Tutorial on turning an open-source LLM into a local decision engine without retraining, using next-token scoring over fixed choices with SGLang, benchmarked against normal text generation.
- Jev Engineering roadmap, summarized - Thread condensing a 10-step Jev setup guide: turn agent forks into Choice, Score and probability, batch decisions (13 questions ran 10x faster and 12.2x cheaper in one test), and benchmark the whole loop.
- How to master Jev (Full Guide) - Long guide covering what Jev is good at, using it beside existing LLMs, question patterns, confidence gates against bad decisions, and five money-making workflows.
- Decision models in practice - OpenRouter thread explaining what a decision model is through practical software-development examples where Jev answers yes/no and multiple-choice questions with confidence.
- Jev launch thread - Founder Diogo Almeida's launch thread introducing Jev and the RLCD training method, claiming 20-200x faster and 40-400x cheaper decisions than frontier chat models.
- Jev Clearly Explained - X article explaining Jev as a millisecond decision layer: how typed questions replace generate-parse-retry LLM calls, and where it sits next to an LLM in an application.
- Jev as a smart switch statement - Hype-free explainer arguing Jev is a very smart switch statement: it classifies, routes, scores and verifies over predefined options but cannot write code or text.
- LLM vs Jev at prompt difficulty - Simplified side-by-side showing how an LLM and Jev classify a prompt's difficulty: token-by-token text versus probabilities for every option computed in parallel.
- Generating text with Jev - Hack that makes Jev write text by asking one Choice question per character position, with a STOP option, and reading off the most likely letters.
- How Jev-style decoding works - Visual explanation, based on the open Qwen2.5-RLCD model, of reading field probabilities from a cached single decoder pass instead of generating JSON token by token.
- Critique of Jev compaction - Critique arguing per-tool-call filtering with Jev is a poor compaction strategy, since compaction should reconstruct history and the model lacks context on what came before.
- Jev as a decision primitive - Notes from ~5,000 requests (about $2) on classification, routing and intent: p50 ~150ms and p95 ~350ms make per-turn checks viable, and Jev rewards splitting queries into independent questions.
- LLMs vs. Jev, clearly explained - Explains that Jev does not generate faster, it does not generate at all: independent Choice, Score and Noul questions, like urgency, owning team and command risk for a failed deploy, are evaluated in parallel.
- What Jev can really do - Chinese-language reality check on Jev that explains what it is and is not, sorts demos that actually work by use case, and lays out the caveats behind the speed and accuracy claims.
See all 101 Techniques and Analysis →
- Hermes Agent compaction scorecard - Tests a Jev-based context-compaction plugin against Hermes' own compressor and recommends against it: far cheaper and faster per compaction, but it kept twice the context and ranked tool results no better than recency.
- Can Jev Be a Better Agent Evaluator? - LangChain tests Jev as a judge against LLM judges for agent evaluation in LangSmith, comparing accuracy, repeatability, latency and cost.
- WindTunnel - WebMCP browser-agent benchmark of 49 tasks on 8 real sites across 21 configurations, where Jev + Mercury 2.5 tops the composite score, solving 49/49 tasks at $0.0011 median cost per task.
- Trolley problems: humans vs robots - Video of Jev working through trolley problems, where it chose to sacrifice a human to save robots.
- HiringCafe resume-job relevance benchmark - Thread benchmarking Jev on resume-to-job-description relevance scoring for HiringCafe, a job search app serving 2.5 million monthly active users.
- Code review benchmark - Benchmark of Jev scoring raw Git diffs against a GLM + Grok + Gemini ensemble reviewer: zero false positives, ~50x faster, ~100x cheaper, with 75% bug recall.
- JevBench - Benchmark of Jev-class decision models that ranks Jev, its open rebuilds, and instruction models on intelligence, calibration, speed, and cost, 25% each as a geometric mean; Jev led at 75.3 with SemIf second at 74.6.
- OpenRouter Ori Eval judging test - OpenRouter's Ori Eval comparison of Jev with popular LLMs as a judge: Jev was more than 5x faster than the next fastest model, and its slowest requests beat every other model's median.
- Jev in a security pipeline - Results table from a production security pipeline: Jev reached 99.3% accuracy at 0.259s latency and $0.026 per 1K, versus Gemini and open models that were slower and costlier.
- 500 real-time agents in 3D - Benchmark running 500 real-time agents in parallel in a 3D environment, reporting 500ms average latency and 35 API calls/s with no optimizations.
See all 171 Benchmarks and Case Studies →
- 45-second Jev TL;DR - Short explainer video that walks through Jev's core idea more simply than the launch video.
- Jev is HERE. How to use it - Startup Ideas Pod episode where Ryan Vogel demos Jev sorting 1,700 emails for 18 cents total, then covers lead scoring, support routing, video clipping, and startup angles.
- We need to talk about Jev - Matthew Berman reviews the Jev launch and early community demos and reactions from X, and what a decision-only model changes.
- JEV Breakdown: The First AI Model Built For Code - Breakdown of Jev with a live Playground walkthrough of Choice, Score, Noul, and confidence, and where a decision model fits in real apps.
- Jev is incredible - Theo explains why Jev is a fast classifier with strong safety perks that complements rather than replaces reasoning models like Astra and Fable.
- Jev explained in 7 minutes - Seven-minute explainer on RLCD and whether a model that answers with probability distributions instead of text can unlock new use cases.
- JEV vs. ChatGPT & Claude - Portuguese-language video comparing Jev with ChatGPT and Claude and explaining what a decision model does differently.
- Jev explained: demos and use cases - Demos including a model router and a chatbot with no LLM behind it, with companion code.
- Jev - The Ultimate Classification Model? - Covers the System 1 idea, then demos Choice, Score, and Noul, a practical classification example, and chained actions.
- Full Jev tutorial - Video tutorial covering what Jev is, API setup, and three demos: a voice-controlled browser, AI memory and a YouTube predictor.
See all 178 Talks and Videos →
- Launch thread on Hacker News - Nearly 2,000 points and about 500 comments, with the TypeSafe team answering questions about semantics and limits.
- What is Jev? (r/LocalLLaMA) - Large r/LocalLLaMA thread (306 comments) where people explain what Jev is, how it differs from an LLM, and what it is actually useful for.
- The car wash question on Jev - Tries the well-known car wash reasoning question on Jev and sparks a long debate (104 comments) on how to judge a decision model's intelligence beyond speed and price.
- Is Jev a generalized BERT? - Thread in r/LocalLLaMA debating whether Jev is essentially a generalized BERT-style classifier that reads custom criteria at inference time.
- Jev impressions on r/ArtificialInteligence - Busy thread (155 comments) where early users share first impressions of Jev, including use as a policy prefilter, and argue about how it compares with frontier LLMs.
- Jev architecture speculation - Thread in r/LocalLLaMA (57 comments) speculating on how Jev works and whether it is just an LLM read out before text generation.
- Jev explained in one infographic - One-page infographic of what TypeSafe's docs and evals actually say about Jev, covering the primitives, pricing, limits, and why the confidence field matters.
- Testing Jev for Pi extensions - Thread where Pi coding-agent users compare early Jev experiments, starting from a tool-call safety rater and a planned prompt-complexity model router.
- Anyone here using Jev? - Thread in r/PiCodingAgent (77 comments) collecting what people build with Jev, starting from routing a natural-language request to one of 250-300 app API calls.
- Thoughts on Jev? Any use cases? - Thread weighing whether Jev is worth the hype, comparing it with small encoder classifiers such as GLiNER and pointing to tasks people used Haiku for.
Contributions welcome! Add an entry to the matching file in data/ (editing it right on GitHub is fine) and open a pull request; the READMEs and the website regenerate automatically after merge. Read the contribution guidelines first, or suggest a resource through an issue.
Listed here? Show it on your project:
[](https://github.com/Li-Evan/awesome-jev)Images are loaded from each project's own pages and belong to their owners. The list text is released under CC0.