The full directory
All Jev AI model resources
Entries for TypeSafe AI's flagship System One model — official docs and SDKs alongside community clients, tools, and write-ups.
- Entries
- 3,919
- Categories
- 11
- Official
- 102
- Community
- 3,817
- Source sites
- 293
- Deep dives
- 3,919
By format
3919- Docs169
- Repos & sites3102
- Videos74
- Posts104
- Articles392
- Playgrounds78
Updated
Browse the Jev AI model by category
11 ways into the ecosystem. Each category page leads with its own shortlist of starting points.
Browse the Jev AI model by use case or industry
The same directory, sliced by what you are building and who you are building it for.
All 3919 Jev AI model resources
Search the full directory, or filter by category and tag.
Showing 1441–1488 of 3919 resources
Watches 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 benchmark comparing TypeSafe Jev with Claude Haiku 4.5 as input guardrails across jailbreak, evasion and benign prompts, measuring detection rates, false positives, latency and cost. At n=1,000 Jev traded some detection for a 328 ms median latency and $0.03 per 1K calls versus Haiku's 2,066 ms and $1.87.
Jev Benchmarks & Evaluations#community#catalog-import#yibie
A CLI that produces repository-aware implementation plans from two or more agents drafting independently, then has Jev score completeness, feasibility and risk coverage, decide whether cross-review is worth it, and select a finalizer that merges the strongest ideas.
Jev Tools & CLIs#community#catalog-import#logicrw
Community
rxova/jev-plannerTypeScript
rxova/jev-plannerTypeScriptA 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-coachTypeScriptLocal spam and phishing triage for a Proton Mail Bridge inbox on macOS: Jev answers two questions per new message, answers are recorded in dry-run by default, and mail moves to a Jev Review folder only if you turn that on. Nothing is ever deleted.
Jev Tools & CLIs#community#catalog-import#yibie
Community
soderlind/jev-mail-triagePython
soderlind/jev-mail-triagePythonA 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 session-aware, OpenAI-compatible gateway that routes chat completions across provider pools by cost, quality, and capability rules, optionally asks configured decision providers typed choice questions with a deterministic fallback, and records requests, decisions, and outcomes in SQLite.
Jev Integrations & Adapters#community#catalog-import#logicrw
Community
texasoct/jev-gatewayTypeScript
texasoct/jev-gatewayTypeScriptThe companion source code for the book Mastering TypeSafe Jev: 13 chapters plus two appendices build two capstones on one shared decision client — an autonomous incident and FinTech triage engine on hosted Jev, and a SmartPlant industrial-IoT engine on self-hosted open-source Kev.
Jev Guides & Articles#community#catalog-import#yibie
A local Telegram conditional filter: FastAPI and SQLite listen on 127.0.0.1:18721, tasks batch one account's messages to TypeSafe Jev or a local Laya model, and only hits are shown, with a UI in Traditional Chinese, Simplified Chinese, and English.
Jev Tools & CLIs#community#catalog-import#logicrw
Community
wing9897/jev.tgPython
wing9897/jev.tgPythonA 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/uxrayKotlinABTdomain's workflow design for brand-protection review: three layers of typed Jev questions turn each new domain that carries a brand word into Release, Watch or Flag, with 0.3 and 0.7 probability lines deciding what happens next.
Jev Practices & PatternsArticle#community#catalog-import#yibie
Community
Alex 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
An 11-page working paper on placing a small commercial text judge beside a live trading lab: six tests for a text signal, what the judge may and may never touch, and the plumbing failures that corrupted its readings. No profitability claims.
Jev Practices & PatternsArticle#community#catalog-import#yibie
Community
AnyEval's paired JevBench comparison of jev against gev-1.0 on 231 shared problems: the win table, an exact McNemar result, and end-to-end answer times for both models measured in one fixed stratum.
Jev Benchmarks & Evaluations#community#catalog-import#yibie
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
Blink enforces your team style guide, like AGENTS.md, by checking every file edit made by Claude Code and Codex and handing findings back to the agent inside the session in under half a second; it is mostly powered by Jev. Free public beta.
Jev Tools & CLIs#community#catalog-import#yibie
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
ChemIllusion's post on how its structure autocomplete works: RDKit builds and checks every candidate from your drawing, and Jev picks which checked cards to show and in what order, in one request of about 0.2 seconds.
Jev Media & TalksPost#community#catalog-import#yibie
Community
An interactive chess experiment on chriswijnia.com: play Jev, TypeSafe's System One model, a simple engine or a friend, or watch Jev play itself. Each turn Jev weighs every legal move at once as one typed Choice and shows how sure it is.
Jev Demos & ExperimentsPlayground#community#catalog-import#cobanov
Community
A shared 1,000 by 1,000 emoji canvas where visitors paint and Jev paints alongside them: after each stroke it reads what is around it by name, weighs emoji that belong with it, and paints one or finishes a shape it is sure you meant.
Jev Demos & ExperimentsPlayground#community#catalog-import#cobanov
Community
Jevvie is the companion in the corner of every page on chriswijnia.com: ask it for something and Jev picks which of the page's actions you mean, one typed Choice at a time, then Jevvie hops over and does it. The same actions are WebMCP tools.
Jev Demos & ExperimentsPlayground#community#catalog-import#cobanov
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
Perry Link's Zenodo preprint compares three judgment layers - a local Laya judge, TypeSafe Jev and DeepSeek-V4.1-Flash - on the same 120-checkpoint task, reporting that cost is not the binding constraint, that p50 latency spans about 25-32x, and that the judges' self-reported fields fail in clustered ways.
Jev Benchmarks & EvaluationsArticle#community#catalog-import#cobanov
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
Stephen Solka's Hugging Face article tests whether Jev can filter political fundraising from an inbox: a frozen 100-email eval, one noul question per email, then follow-on experiments that shrink the classifier to CPU-only inference with SetFit and ONNX Runtime.
Jev Media & TalksPost#community#catalog-import#yibie
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
HAL-X AI's 322M non-autoregressive decision model returns calibrated answers in one forward pass of about 10 ms, with native number, excerpt and citation outputs beyond Jev's choice, noul and score types. Apache-2.0, post-trained in 18 languages.
Jev Models & Reimplementations#community#catalog-import#madewithjev
Community
A Hugging Face Space for the Decima decision model: choose a preset or write your own question, list possible answers, and paste any text you want the model to consider. The app then shows the probability for each answer.
Jev Demos & ExperimentsPlayground#community#catalog-import#cobanov
Community
A Hugging Face Space that runs a tiny System One model entirely in the browser: type a prompt and the app produces output on the spot, with no server connection or installation required.
Jev Demos & ExperimentsPlayground#community#catalog-import#cobanov
Community
A fork of Laya that answers choice, yes/no and score questions about an image plus optional text in one forward pass. This 201M checkpoint is SmolVLM-256M cut to 20 of 30 language layers and trained for two hours, with no text generation.
Jev Models & Reimplementations#community#catalog-import#madewithjev
Community
vagmi's QLoRA adapter turns Gemma 4 E4B into a System One model: it reads the answer from the logits at the option letters, so it cannot answer outside your options, and returns choice, score and yes/no from one forward pass.
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.
Do Multimodal Models Decide Consistently on Equivalent Optical Spectra?Jev Benchmarks & Evaluations
@harlan-zw/jevJev Repos & SDKs
Jev-AD: Safe Language-Guided Autonomous Driving via a Language World ModelJev Demos & Experiments
Jev GUI Training PreviewJev Models & Reimplementations
- jev-playgroundJev Demos & Experiments
- JeviewJev Tools & CLIs
From the Jev community
Watch walkthroughs, read the threads, and see what builders are posting.
YouTube: KodeKloud's three-minute primer: what a System One model decides, and why it answers in milliseconds.
YouTube: Caleb Writes Code explains what Jev is and how to call it, in seven minutes.
YouTube: Greg Isenberg and Ryan Vogel on the businesses Jev unlocks, and a path in through the Vercel AI Gateway.
YouTube: CJ from Syntax demos browser use, classification, code review, a model router, and a chat bot with no LLM.
YouTube: Ryan Vogel runs Jev on 100 and then 1,000 emails: category, priority, spam, and reply predictions.
YouTube: AICodeKing tests support routing, refund detection, prompt-injection resistance, and browser automation.
Hacker News: Show HN: Ad Spend Guard gates budget before the auction, not the creative after.
Show HN: Gating ad budget with a decision modelRead the thread on Hacker NewsReddit: Reranking rebooking options with a decision model, ranked with reasons.
Hacker News: Pick Verify: a single decision at the warehouse pick station catches confusable picks.
Show HN: Verifying robot picks with a decision modelRead the thread on Hacker NewsHacker News: Decision Index 0.2.1 scores open reproductions of Jev on a frozen suite.
jackbravo4 pointsDecision Index 0.2.1 – 70 open reproductions of TypeSafe Jev's Decision ModelRead the thread on Hacker NewsHacker News: Software Bombe and live Enigma demo where Jev ranks cribs and judges plaintext.
ag_212 pointsShow HN: Jev as the Bletchley Park Analyst: A Software Bombe on EnigmaRead the thread on Hacker NewsHacker News: Show HN for the decide CLI: brew install, file context, and multi-question shell scripts.
vsekhar2 pointsShow HN: Decide – Jev decisions in the shell, scripts, and agent skillsRead the thread on Hacker NewsHow entries are chosen
Every entry is reviewed against the same bar, whether it comes from TypeSafe or the community.
- Public and working — no paywalls, sign-up walls, or dead links.
- Concrete — it has to be about Jev and the System One API, not generic LLM content.
- Useful today — something a developer can learn from or use right now.
- Distinct — if a similar entry exists, the description has to say what makes this one different: a different runtime, a cheaper path, a measured result, or a narrower focus.
- Documented — repos state their license, and docs are in English or carry an English summary.
Spam, affiliate links, and thin AI-generated content are rejected. New entries are expected to ship with a deep dive: two to five highlights, caveats, a quickstart snippet where one helps, and a verification date. Star counts are refreshed when an entry is touched.
Common questions
Short answers about Jev and how this directory works.
What is the Jev AI model?
Jev is TypeSafe AI's first System One model — an AI model that takes a state plus typed questions and returns one structured answer per question: a choice, an ordered score, or the probability of yes, with calibrated confidence on Choice and Score answers. Code can branch on the result without parsing generated text.
What is the difference between Choice, Score, and Noul?
They are the three question primitives. Choice picks one of up to 255 options, Score rates on 2 to 10 ordered levels, and Noul answers yes or no. Choice and Score answers carry a confidence between 0 and 1; a Noul answer is the probability of yes.
Which Jev SDKs and client libraries are available?
TypeSafe maintains official JavaScript/TypeScript and Python SDKs plus a Python adapter. The community has built clients for Go, .NET, PHP, Laravel, Rust, Elixir, Ruby, and Scala, along with framework integrations such as DSPy, LlamaIndex, and Home Assistant. All of them are listed in the Repos & SDKs category.
Is the directory free, and is it affiliated with TypeSafe AI?
The directory is free to browse: every entry is reviewed, and spam, affiliate links, and sign-up walls are rejected. JevDirectory.org is community-run and not affiliated with TypeSafe AI — Jev and System One are TypeSafe AI trademarks.
How often is the directory updated?
Entries are added as new resources appear and re-checked when they are touched. The directory currently holds 3919 entries from 293 source sites, last updated Nov 6, 2026.
What is a verified deep dive?
Most entries include a deep dive: two to five highlight bullets someone would only know from using the resource, a caveats note about limits and requirements, an optional quickstart snippet, and the date the link was last checked. 3919 of the 3919 entries carry one today.
For the canonical details, read the official TypeSafe docs and the API reference.