The full directory
All Jev AI model resources
Entries for TypeSafe AI's flagship System One model — official docs and SDKs alongside community clients, tools, and write-ups.
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3739- Docs169
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The same directory, sliced by what you are building and who you are building it for.
All 3739 Jev AI model resources
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Showing 97–144 of 161 resources
A browser extension that classifies web text with Jev: hover, pin, drag or double-click to judge blocks or whole articles as slop, or define your own questions. No build step; the key stays in storage.local and only api.typesafe.ai is reachable.
Jev Tools & CLIs#community#catalog-import#madewithjev
Community
kmcheung12/sniffslopJavaScript
kmcheung12/sniffslopJavaScriptA pre-registered evaluation of whether Jev hears a rate rise coming: it shows Jev pairs of FOMC press-conference openings and asks which is more hawkish about inflation, then checks rank agreement with same-day rate moves and FedLock's scores.
Jev Benchmarks & Evaluations#community#catalog-import#madewithjev
Moderation for communities and apps, powered by Jev: every message gets a probability for spam, scam, harassment, nsfw, doxxing and more, plus rules in plain English. Thresholds and actions are yours, and flag-only is the default.
Jev Tools & CLIs#community#catalog-import#logicrw
Community
ohernandezdev/jevmodPython
ohernandezdev/jevmodPythonA local MCP server that runs ready-made Jev question packs for Cursor and other agents: typed Choice, Noul and Score judgments over closed state, with run_questions as the custom path when no pack fits.
Jev Agents & MCP#community#catalog-import#madewithjev
Community
pedroknigge/mcp_jevTypeScript
pedroknigge/mcp_jevTypeScriptA browser agent in pure Go (stdlib only) where Jev picks each step from a finite indexed action space over Chrome CDP — headless, attached to your real Chrome, or relayed through an unpacked extension. Every step is instrumented for timing.
Jev Tools & CLIs#community#catalog-import#madewithjev
Community
phanngoc/browser-aiGo
phanngoc/browser-aiGoReal-time hawk-or-dove analysis of Fed press conferences with Jev side by side with chat models. Jev scores every word the Chair says in about 150 ms while the chat model scores each caption line in a few seconds, both judged against the same four stances.
Jev Demos & Experiments#community#catalog-import#madewithjev
Community
turboguo/jev-fedspeechJavaScript
turboguo/jev-fedspeechJavaScriptA small React web app where Jev, TypeSafe's System One API, estimates a name's age band and gender from naming trends across Korea, the US, Japan and China. A Vite server plugin keeps the API key server-side and the UI draws the returned band probabilities as bars.
Jev Demos & Experiments#community#catalog-import#madewithjev
Community
ximhear/jev-kr-name-ageTypeScript
ximhear/jev-kr-name-ageTypeScriptA guide-directed leveling agent for a private TBC 2.4.3 server: ten clients on one PC follow generated quest guides with scripted, self-verifying skills, and a vision tutor takes over only when a routine fails.
Jev Agents & MCP#community#catalog-import#madewithjev
Communitychalkychalk42/jev
A local Jev clone: calibrated noul, choice, and score judgments from small NLI cross-encoders, running in the browser or as a Node server with Jev's request and response shapes.
Jev Repos & SDKs#community#catalog-import#madewithjev
Community
draeder/vejJavaScript
draeder/vejJavaScriptA local Codex and Waku plugin for app-agnostic Mac computer use: Accessibility actions with a visual fallback, approval-gated mutations, and a Jev fast path for repetitive tasks.
Jev Agents & MCP#community#catalog-import#madewithjev
Community
eronmmer/jev-cuaTypeScript
eronmmer/jev-cuaTypeScriptA speed layer for computer use on Solari: each step is one structured observation, one Jev decision and one verified action, with no screenshots in the loop. It drives both browsers and Linux desktops through the same Surface interface.
Jev Repos & SDKs#community#catalog-import#madewithjev
Community
hitakshia/solari-reflexTypeScript
hitakshia/solari-reflexTypeScriptA Rust CLI that reads completed Claude Code and Codex sessions, scores each turn with Jev, and turns recurring patterns into suggested edits for your AGENTS.md, skills and tools. Ships as jta with init, analyze and report commands.
Jev Tools & CLIs#community#catalog-import#madewithjev
Community
hobbs/jev-turn-analysisRust
hobbs/jev-turn-analysisRustJev-backed Claude Code hooks that make calibrated judgment calls inside the agent loop: a danger gate before destructive commands, a failure notice on command output, a completion check and three more experimental hooks. Each check costs about 350 ms and $0.00004.
Jev Integrations & Adapters#community#catalog-import#madewithjev
Community
jakenbear/the-jev-enatorPython
jakenbear/the-jev-enatorPythonA browser chess coach where Stockfish (WASM) owns the truth about the position and Jev makes the coaching judgment after every move, with templates and a small writing model supplying the words. Status: Wave 0 scaffold and Jev feasibility spike.
Jev Demos & Experiments#community#catalog-import#madewithjev
Community
joellewis/game-coachTypeScript
joellewis/game-coachTypeScriptAn English–Icelandic dictionary running on Cloudflare Workers: D1 provides full-text lookup, Vectorize adds semantic recall, and Jev System One re-ranks the candidates. The repository has no README, so details come from the GitHub description and list context.
Jev Tools & CLIs#community#catalog-import#madewithjev
Community
jokull/enskTypeScript
jokull/enskTypeScriptA live, graphical dojo for Jev with six real-time canvas scenes over one WebSocket: task routing across model tiers, ticket triage, inbox-scale queues and an honest Jev-vs-Claude gauntlet. Boots in SIM mode without an API key.
Jev Demos & Experiments#community#catalog-import#madewithjev
A stateless Rust CLI for typed semantic judgments with the Jev model: state and questions in, calibrated answers and exit codes out, as stable JSON on stdout. Ships with an Agent Skill for scripts, CI and agent workflows.
Jev Tools & CLIs#community#catalog-import#madewithjev
Community
model-clis/jevRust
model-clis/jevRustAn MCP server that lets Claude hand a whole browser task to Jev: Claude plans and verifies while Jev picks each click, type or select from a numbered table of visible controls in about 100 ms, using browser-use/jev-ultrafast's loop.
Jev Agents & MCP#community#catalog-import#madewithjev
Community
msalvalaggio/jev-reflexPython
msalvalaggio/jev-reflexPythonA Python CLI that ranks your own agent skills against a request so your agent can suggest the right one to invoke, printing JSON with a fit probability per skill and a gate probability for whether any skill applies. Ranking runs on Jev and costs two calls, 1.9 seconds on average.
Jev Tools & CLIs#community#catalog-import#madewithjev
Community
muskanpaliwal/skill-pickerPython
muskanpaliwal/skill-pickerPythonA local MCP gateway that connects your MCP servers once and exposes just two tools to agents: find_tool discovers a capability through Jev Choice questions and execute_tool runs it with arguments validated against the original schema, managed from a CLI and a local dashboard.
Jev Agents & MCP#community#catalog-import#madewithjev
Community
prasanth263/mazaJavaScript
prasanth263/mazaJavaScriptA Go client for TypeSafe AI whose wire format and default retries follow the Python SDK v0.6.0 with a smaller Go-native API: send noul, choice and score questions in one SystemOne call and read typed results, usage counts and the request ID.
Jev Repos & SDKs#community#catalog-import#madewithjev
Community
radixils-dev/typesafe-sdk-goGo
radixils-dev/typesafe-sdk-goGoWatches the Bluesky firehose and asks Jev eight questions about every sampled post in one call, covering intent, topic, sentiment, engagement bait, hostility, sarcasm, bot-ness and screen safety, then routes anything the model will not commit to into a needs-a-human lane. Live at cloutmetrics.ai.
Jev Demos & Experiments#community#catalog-import#madewithjev
Community
ragelink/firehose-judgeTypeScript
ragelink/firehose-judgeTypeScriptA Python library that wraps TypeSafe System One with a deterministic local layer: canonical JSON sorting, SHA-256 fingerprinting with volatile key masking, SQLite caching, neutral escape injection and calibration checks, all on the standard library, with an official MCP server for coding agents.
Jev Repos & SDKs#community#catalog-import#madewithjev
Community
seb4ez/jevguardPython
seb4ez/jevguardPythonA solo mahjong coach that takes a 14-tile hand and has Jev recommend which tile to discard, with efficiency, safety and wait scores plus a Japanese explanation, beginner-to-advanced lesson tracks, and a practice mode against three CPUs. Progress and consultations live in Turso.
Jev Demos & Experiments#community#catalog-import#madewithjev
Community
smilior/kiru-hai-coachTypeScript
smilior/kiru-hai-coachTypeScriptA Python capability kernel for untrusted agents that wraps every tool call: detectors, a Jev Noul battery, and policy in code return BLOCK, ASK, or ALLOW, while the LLM holds only canaries and placeholders — real secrets are swapped in at egress for allowlisted hosts.
Jev Repos & SDKs#community#catalog-import#madewithjev
Community
somoore/interlockPython
somoore/interlockPythonA Manifest V3 Chrome extension that sends each LinkedIn feed post's text to TypeSafe's Jev with a rubric of narrow yes/no and 0–2 questions, then blurs only the posts that plain code marks as filter — uncertain and failed checks stay visible, with one-click reveal.
Jev Tools & CLIs#community#catalog-import#madewithjev
A browser 3D interior level designer that furnishes itself: Microsoft's Decision-1 yes/no model answers calibrated probabilities in one cheap batched call while deterministic code handles geometry, and completed layouts export as JSON plus a multi-mesh GLB.
Jev Tools & CLIs#community#catalog-import#madewithjev
Community
yeme-oss/leveldezPython
yeme-oss/leveldezPythonAn Android heads-up display that reads visible on-screen text through an AccessibilityService, asks TypeSafe's Jev whether a manipulative UI pattern looks likely, and shows a floating badge above 0.9 confidence — password fields are never sent and card or PIN screens are skipped.
Jev Tools & CLIs#community#catalog-import#madewithjev
Community
zohaib-md/uxrayKotlin
zohaib-md/uxrayKotlinAlex dc's Spanish-language explainer on Jev for the Agentes IA newsletter: what the TypeSafe decision model is, what it is not, and how to try it, opening with the headline claims of 193x faster and 444x cheaper.
Jev Media & TalksPost#community#catalog-import#madewithjev
Community
Wayne Sutton's askjev.ai, built on Convex: type a question and Jev judges it rather than answering it. The site is client-rendered and thin, so this entry is grounded on its meta description and title alone.
Jev Tools & CLIs#community#catalog-import#madewithjev
Community
Automater's runbook for turning a Claude Code plus Jev check into enforcement: sort integrations by who invokes them, put the gate in a PreToolUse hook that fails closed with deny rules behind, and keep MCP for lookups.
Jev Guides & ArticlesArticle#community#catalog-import#madewithjev
Community
Benchmark Heaven's live JevBench board for typed decision models: florianstandhar's reproducible benchmark, presented with frozen versioned rankings, price bases, hosting and confidentiality filters, and per-model evidence requirements.
Jev Benchmarks & Evaluations#community#catalog-import#madewithjev
Community
Cloudflare's announcement of Clef-omni, an open-weight decision model that takes audio and video alongside text and images in one request, built on a Qwen3-Omni mixture-of-experts backbone, plus a faster Clef and a cheaper Clef-flash.
Jev Media & TalksPost#community#catalog-import#madewithjev
Community
Microsoft's announcement of Microsoft-Decision-1, a model for fast decision scoring built for routing, classification, prioritization, verification and workflow control, available in Microsoft Foundry and through OpenRouter. Published 2026.10.09.
Jev Media & TalksPost#community#catalog-import#madewithjev
Community
Maxim Saplin ran TypeSafe Jev on LLM Chess by turning each position into one Choice question over the legal moves. jev-latest landed around rank 59 at Elo 242.9, next to qwen3.6-27b and o4-mini-medium, at roughly $0.0015 and 36 seconds per game.
Jev Media & TalksPost#community#catalog-import#madewithjev
Community
EmDash CMS screens every plugin listing in its registry with Cloudflare's Clef decision model: nine typed questions on the listing text and links, eight on each icon and screenshot, and a probability threshold of 0.45 on any category. The registry itself is built on AT Protocol.
Jev Media & TalksPost#community#catalog-import#madewithjev
Community
A Show HN build listed on madewithjev where Jev is given a forum database and asked to find the most relevant posts. The linked page currently serves a backlinks-service setup form rather than the demo, so the listing description is the only available account of what it does.
Jev Demos & Experiments#community#catalog-import#madewithjev
Community
A live demo of a trained KV cache bank that, per its madewithjev listing, turns any LLM into a Jev-like model. The demo URL returned a URLError at fetch time, so the listing title and description are the only sources for this entry.
Jev Demos & Experiments#community#catalog-import#madewithjev
Community
A real-time dashboard that classifies geopolitical news with Jev, tracking events per hour across 6h, 24h, 3d and 7d windows with a tension map, regional hotspots and a feed filterable by conflict, diplomacy, escalating and major categories.
Jev Demos & Experiments#community#catalog-import#madewithjev
Community
Alex Nikolic's open reproduction of Jev as a Qwen3.5 cross-encoder: one NLI primitive over premise and hypothesis - entailment, contradiction or neutral - that reranks answers, grades them, guards content and even picks game moves, with the 4B v5 checkpoint near Jev 1.13 on public JevBench items.
Jev Models & Reimplementations#community#catalog-import#madewithjev
Community
The Apache-2.0 weights behind Cloudflare's Clef: a 27B multimodal model that takes text, JSON, images or video as state and returns a probability for every allowed option of every typed question in a single forward pass. The card links the Cloudflare announcement and a Decision Index leaderboard.
Jev Models & Reimplementations#community#catalog-import#madewithjev
Community
Gestalt Labs' Jeff is a LoRA adapter on Qwen3-4B-Instruct-2507 that answers Jev-style choice, noul and score questions with labels and probabilities instead of prose, runs locally, and ships a train-your-own guide; on 9,730 fact-checking examples it trails Jev 1.13.0 on accuracy (0.8183 vs 0.8283).
Jev Models & Reimplementations#community#catalog-import#madewithjev
Community
Mapika's open decision model is a 1.9B Qwen3.5-2B fine-tune that returns a probability for every option of every typed question in one forward pass, with no generated text. v11 adds a rank-64 LoRA stage and reports 0.577 on the JevBench public hard tier, up from v10's 0.459.
Jev Models & Reimplementations#community#catalog-import#madewithjev
Community
A CPU port of SemIf with a web UI: JEV-CPU loads Qwen3-0.6B in float32 and reads a decision from its option logits in about a second, across eight domains from support to incident severity, with no GPU.
Jev Models & Reimplementations#community#catalog-import#madewithjev
Community
Zefan Cai's LoRA adapter and scalar decision head for Qwen3.5-9B score caller-supplied candidates for choice, yes/no and score answers without generating text, served over a local /v1/systemone endpoint.
Jev Models & Reimplementations#community#catalog-import#madewithjev
Community
APUS AI Lab's decision model family for browser agents and business workflows, in 4B, 9B and 35B-A3B sizes with a low/high effort switch. On the lab's frozen 80-question panel the 35B-A3B scores 88.75% against 82.5% for the Jev API.
Jev Models & Reimplementations#community#catalog-import#madewithjev
Community
caiovicentino's 27B decision model applies a stated policy to the facts and returns calibrated probabilities for trading-rule cases: order limits, margin, wash sales, KYC and AML, in English and Portuguese with a 4B browser demo.
Jev Models & Reimplementations#community#catalog-import#madewithjev
Community
cklxx fine-tuned Laya into the decision head of browser-use/jev-ultrafast: one bidirectional encoder pass per step picks the browser operation and target element, and the server answers Jev's /v1/systemone requests identically.
Jev Models & Reimplementations#community#catalog-import#madewithjev
Community
Start here with the Jev AI model
Hand-picked entries the maintainers recommend first, from official primitives to community tools.
The Jev Day release post: Jev 1.14.0 under jev-preview plus three danger-zone features — composable images on both models, the box question type on 1.14 only, and opt-in 262k context.
Jev Guides & ArticlesArticle#official#release#vision
Official
The box question type: one bounding box per question, returned as four edges that are fractions of the image, plus confidence, with no criteria field and no not-found value.
Jev Practices & PatternsDocs#official#docs#vision
Official
LiteLLM's Day 0 post for TypeSafe Jev 1.14: the proxy adds box questions, image input and long-context mode on both POST /v1/systemone and POST /v1/decisions, forwarding TypeSafe-Danger-Zone headers only to TypeSafe deployments.
Jev Integrations & AdaptersArticle#community#litellm#gateway
Community
Newest Jev AI model resources
The latest additions to the directory, newest first.
AI SDK TypeSafe ProviderJev Integrations & Adapters
- Flow Steward Extension for TypeSafe AI (Jev)Jev Integrations & Adapters
Jev Arts & Human Taste Embeddings (Qwen3.6-35B-A3B-FP8)Jev Models & Reimplementations
- Jev Bookmark TriageJev Demos & Experiments
- Jev Consensus GateJev Agents & MCP
- Jev Game AgentJev Demos & Experiments
From the Jev community
Watch walkthroughs, read the threads, and see what builders are posting.
YouTube: KodeKloud's three-minute primer: what a System One model decides, and why it answers in milliseconds.
YouTube: Caleb Writes Code explains what Jev is and how to call it, in seven minutes.
YouTube: Greg Isenberg and Ryan Vogel on the businesses Jev unlocks, and a path in through the Vercel AI Gateway.
YouTube: CJ from Syntax demos browser use, classification, code review, a model router, and a chat bot with no LLM.
YouTube: Ryan Vogel runs Jev on 100 and then 1,000 emails: category, priority, spam, and reply predictions.
YouTube: AICodeKing tests support routing, refund detection, prompt-injection resistance, and browser automation.
Hacker News: Show HN: Ad Spend Guard gates budget before the auction, not the creative after.
Show HN: Gating ad budget with a decision modelRead the thread on Hacker NewsReddit: Reranking rebooking options with a decision model, ranked with reasons.
Hacker News: Pick Verify: a single decision at the warehouse pick station catches confusable picks.
Show HN: Verifying robot picks with a decision modelRead the thread on Hacker NewsHacker News: Decision Index 0.2.1 scores open reproductions of Jev on a frozen suite.
jackbravo4 pointsDecision Index 0.2.1 – 70 open reproductions of TypeSafe Jev's Decision ModelRead the thread on Hacker NewsHacker News: Software Bombe and live Enigma demo where Jev ranks cribs and judges plaintext.
ag_212 pointsShow HN: Jev as the Bletchley Park Analyst: A Software Bombe on EnigmaRead the thread on Hacker NewsHacker News: Show HN for the decide CLI: brew install, file context, and multi-question shell scripts.
vsekhar2 pointsShow HN: Decide – Jev decisions in the shell, scripts, and agent skillsRead the thread on Hacker NewsHow entries are chosen
Every entry is reviewed against the same bar, whether it comes from TypeSafe or the community.
- Public and working — no paywalls, sign-up walls, or dead links.
- Concrete — it has to be about Jev and the System One API, not generic LLM content.
- Useful today — something a developer can learn from or use right now.
- Distinct — if a similar entry exists, the description has to say what makes this one different: a different runtime, a cheaper path, a measured result, or a narrower focus.
- Documented — repos state their license, and docs are in English or carry an English summary.
Spam, affiliate links, and thin AI-generated content are rejected. New entries are expected to ship with a deep dive: two to five highlights, caveats, a quickstart snippet where one helps, and a verification date. Star counts are refreshed when an entry is touched.
Common questions
Short answers about Jev and how this directory works.
What is the Jev AI model?
Jev is TypeSafe AI's first System One model — an AI model that takes a state plus typed questions and returns one structured answer per question: a choice, an ordered score, or the probability of yes, with calibrated confidence on Choice and Score answers. Code can branch on the result without parsing generated text.
What is the difference between Choice, Score, and Noul?
They are the three question primitives. Choice picks one of up to 255 options, Score rates on 2 to 10 ordered levels, and Noul answers yes or no. Choice and Score answers carry a confidence between 0 and 1; a Noul answer is the probability of yes.
Which Jev SDKs and client libraries are available?
TypeSafe maintains official JavaScript/TypeScript and Python SDKs plus a Python adapter. The community has built clients for Go, .NET, PHP, Laravel, Rust, Elixir, Ruby, and Scala, along with framework integrations such as DSPy, LlamaIndex, and Home Assistant. All of them are listed in the Repos & SDKs category.
Is the directory free, and is it affiliated with TypeSafe AI?
The directory is free to browse: every entry is reviewed, and spam, affiliate links, and sign-up walls are rejected. JevDirectory.org is community-run and not affiliated with TypeSafe AI — Jev and System One are TypeSafe AI trademarks.
How often is the directory updated?
Entries are added as new resources appear and re-checked when they are touched. The directory currently holds 3739 entries from 292 source sites, last updated Oct 25, 2026.
What is a verified deep dive?
Most entries include a deep dive: two to five highlight bullets someone would only know from using the resource, a caveats note about limits and requirements, an optional quickstart snippet, and the date the link was last checked. 3739 of the 3739 entries carry one today.
For the canonical details, read the official TypeSafe docs and the API reference.