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 1489–1536 of 3919 resources
Ian Nuttall's free internal linking tool crawls up to 2,000 pages, maps every internal link, and uses Jev to classify each page and its search intent before recommending link placements with anchors. Runs up to 100 pages are free.
Jev Tools & CLIs#community#catalog-import#madewithjev
Community
An independent lab for trying the Jev model: a customer-message example plus experiments for task routing, context selection and evidence checks. It shows choice, score and boolean answers with probabilities and can export the request as TypeScript.
Jev Demos & ExperimentsPlayground#community#catalog-import#yibie
Community
A magic eight ball answered by Jev: ask a question and the decision model picks an answer in the shape of the classic toy. Built by sarreph and listed on madewithjev, the community directory of Jev builds.
Jev Demos & ExperimentsPlayground#community#catalog-import#madewithjev
Community
A community gallery of Jev use cases and experiments drawn from projects, X posts, and videos, reporting 319 projects, 273 X posts, and 261 videos at review time, with language filters and a submit-content form.
Jev Guides & ArticlesArticle#community#catalog-import#cobanov
Community
An adaptive onboarding demo by Tamir where Jev picks the next question instead of following if-then branches. The sample flows include project planning, fitness coaching, travel, learning, and ecommerce.
Jev Demos & ExperimentsPlayground#community#catalog-import#madewithjev
Community
Kitsuno's engineering write-up on training an open-weight Laya model to take over parts of its Jev usage: eight days of work, run in shadow beside Jev on every job-side request, without training on Jev's outputs.
Jev Practices & PatternsPost#community#catalog-import#madewithjev
Community
A syntax highlighter where code does the tokenizing and Jev does the judging: paste a file and typesafe-ai/jev names the language, colours every word, and reports which of nine lint rules the file breaks.
Jev Tools & CLIs#community#catalog-import#madewithjev
Community
LangChain's post on putting Jev inside agent loops: it introduces System One models, shows TypeSafeClassifier calls in Python, and demonstrates a model-routing middleware, with tool output kept out of the classifier's input.
Jev Guides & ArticlesPost#community#catalog-import#madewithjev
Community
A directory of 2,086 open-source projects built on Laya, the open System One decision model, with category and platform filters, star counts, a live laya-mlx demo, and a hosted Laya + Clef API with $1 free credit.
Jev Guides & ArticlesArticle#community#catalog-import#cobanov
Community
A marketplace for paid services credited to Georgios Konstantopoulos: give Mercator an outcome-shaped task and it finds the right services, composes the workflow, and pays per call through MPP or x402, with Jev credited in the listing.
Jev Tools & CLIs#community#catalog-import#madewithjev
Community
Nish Tahir's tutorial on how decision models like Jev work: mask an LLM's vocabulary to the option tokens, read the softmax as a probability, then measure calibration and add temperature scaling, using Qwen3-1.7B.
Jev Guides & ArticlesPost#community#catalog-import#yibie
Community
Ollaya's documentation index for its local decision-model runtime: quickstart, the full CLI reference from run to mcp, native and TypeSafe-compatible API endpoints, Modelfiles, and MCP plus agent-skill guidance.
Jev Guides & ArticlesDocs#community#catalog-import#cobanov
Community
Ollaya's searchable registry of open decision models you can run locally: 21 models with capability filters, and cards showing authors, sizes, tags, update dates, and typed-decision scores with RTX 4090 latency.
Jev Models & Reimplementations#community#catalog-import#cobanov
Community
An OpenRouter cookbook recipe that replaces a blanket human-approval rule with a per-call Jev check: the proposed tool call, ticket, and policy go to Jev, whose probabilities route to approve, block, or review.
Jev CookbooksDocs#community#catalog-import#cobanov
Community
An OpenRouter cookbook recipe for a draft-verify-escalate cascade: a cheap model drafts an answer from retrieved context, Jev votes supported, unsupported, or declined, and a frontier model rewrites only when verification fails.
Jev CookbooksDocs#community#catalog-import#cobanov
Community
A revenue-focused AI product manager that watches growth metrics across your data, investigates why numbers moved, and answers questions in Slack, over MCP or in its own charts. Self-hosting in your own cloud is offered alongside a free trial.
Jev Tools & CLIs#community#catalog-import#yibie
Community
RuntimeWire's report on Cloudflare extending its Clef decision models to audio and video: Clef-omni returns structured decisions from text, images, audio and video in one API call, while Clef-flash gets cheaper and its hosted context window shrinks.
Jev Media & TalksArticle#community#catalog-import#yibie
Community
Sayora's AI receptionist replaced production RAG with Jev for page picking and measured the change on 168 caller questions: wrong pages handed to the LLM fell from 33% to 3%, and the right page ranked first 88% of the time against 70%.
Jev Practices & PatternsArticle#community#catalog-import#yibie
Community
A social-scheduler founder's accuracy test of Jev: four yes/no questions over 522 captions, then the same questions for Fable on a random 100. Agreement reached 94/100 on promotion, and all 520 scored captions cost $0.011.
Jev Practices & PatternsArticle#community#catalog-import#yibie
Community
A free Chrome extension for LinkedIn, built by Tom Frazier, that scores posts with Jev and folds suspected slop into a 44px strip you can unfold in one click. The nine-tell Slopprint shows which writing habits triggered the verdict.
Jev Tools & CLIs#community#catalog-import#madewithjev
Community
The Strands Agents team's 2B open-source decision model: it swaps Qwen3.5-2B's language-model head for a roughly million-parameter pointer head that scores offered options, runs on local CPU or GPU, and placed third of 33 in its JevBench class.
Jev Models & ReimplementationsArticle#community#catalog-import#madewithjev
Community
A free, no-signup tool from SuperX: pick a niche and Jev reads the last three days of X posts, asks five questions per post in one pass, and sorts each one into Read, Skim or Pass with a clarity percentage.
Jev Tools & CLIs#community#catalog-import#madewithjev
Community
Tenuo's engineering write-up of safe-upgrade, a dependency-upgrade agent built on Jev, LangGraph and Tenuo: Jev turns repository evidence into typed probabilistic choices, the graph routes on confidence, and each action gets a short-lived task-scoped warrant.
Jev Practices & PatternsArticle#community#catalog-import#yibie
Community
Anton Zagrebelny's analysis: Jev's free output tokens and confidence-per-decision design push products toward two-model architectures and quietly break the way AI credits and entitlements are metered.
Jev Media & TalksArticle#community#catalog-import#yibie
Community
An independent playground for TypeSafe's Jev with clearly labeled modes: load Choice, Noul or Score examples for support routing, urgency and frustration, or run live calls against the real API when the page says live access is available.
Jev Demos & ExperimentsPlayground#community#catalog-import#yibie
Community
A free browser-based Texas Hold'em game where Quick Play seats you against five AI poker bots, or you can build a custom table for two to six players and share its link. Supported opponents include Equity Rules, TypeSafe Jev and configurable LLM bots.
Jev Tools & CLIs#community#catalog-import#yibie
Community
A Beam-hosted playground for comparing open-source alternatives to Jev and running any of them as an API. You edit a state and typed questions in the browser, then call the same model through an OpenAI-compatible endpoint with a workspace token.
Jev Demos & ExperimentsPlayground#community#catalog-import#madewithjev
Community
A Convex page for comparing models that answer verified multiple-choice questions about Convex, scoring them with source-weighted results and showing latency, cost and inspectable outcomes alongside the scores.
Jev Benchmarks & Evaluations#community#catalog-import#cobanov
Community
A hands-on write-up of swapping an LLM routing call for System One decisions in a Quarkus LangChain4j app: a custom Planner asks one Choice question to pick the specialist agent, and an OutputGuardrail asks a Noul question to reject bad replies.
Jev Practices & PatternsPost#community#catalog-import#madewithjev
Community
A walkthrough that pairs Unsiloed document extraction with Jev: extracted medication rows and their citations become Jev's state, one Noul question per row flags implausible or obscured doses, and the results decide which fields need review.
Jev CookbooksPost#community#catalog-import#yibie
Community
Vals AI's independent benchmarks of Jev: it ties frontier models on 400 claim-verification items drawn from SEC filings at about 1/500th of GPT-6 Astra's cost, but finishes last of twelve on a preregistered 12-subtask LegalBench slice.
Jev Benchmarks & EvaluationsPost#community#catalog-import#madewithjev
Community
Viorant hosts TypeSafe's Jev as a remote MCP connector any MCP client can call: six tools cover typed decisions and compositions — jev_noul, jev_choice, jev_score, jev_verify, jev_screen and jev_find — with 2,500 Vio Credits in the Free Plan.
Jev Agents & MCP#community#catalog-import#yibie
Community
Yappy's macOS computer-use agent runs every step through Jev: the click, field and scroll are chosen from typed decisions over an accessibility text table, with no screenshots sent and a chat model called only when a step needs words.
Jev Integrations & Adapters#community#catalog-import#yibie
Community
A daily word game where you describe a word and Jev guesses it. Rohan Mahtani built it in the spirit of charades and taboo: you circle the word without saying it and the model has to land on it.
Jev Demos & Experiments#community#catalog-import#madewithjev
Community
elvex's Doyle Irvin walks through an internal prototype that wired Jev into the company's agent harness, from ambient classification while typing to attention filtering and risk-aware approvals; none of it is in production.
Jev Integrations & AdaptersArticle#community#catalog-import#yibie
Community
Trust middleware for Jev decision APIs: it logs every call, measures calibration in your domain as outcomes arrive, discounts stated confidence to what it is worth there, and signs the log for outside recomputation.
Jev Repos & SDKs#community#catalog-import#yibie
Community
A DeepSeek Harness auto mode hosted on GitLab: full-access automation guided by TypeSafe System One at every end prompt, MIT-licensed and created in September 2026.
Jev Agents & MCP#community#catalog-import#yibie
Community
A third-party playground and API host for Jev: acceptance-style decision runs with readymade use-case templates, a model menu spanning Jev, Clef, Laya, and others, and 20 welcome credits to try it.
Jev Demos & ExperimentsPlayground#community#catalog-import#yibie
Community
A support-ticket cookbook that lets Jev decide which requests are worth remembering, then wraps each call so saved tickets ride along in the state. Six later messages route correctly with memory against two without.
Jev CookbooksDocs#official#cookbook#memory
Official
A live chat filter that asks three questions per message — category, toxicity, and spoilers — then turns the answers into show, highlight, dim, hide, or blur in plain code. The 29-message example hides seven, blurs two, and highlights six.
Jev CookbooksDocs#official#cookbook#moderation
Official
The enterprise page for Jev: two published case studies with 88% and 98.7% lower cost, SOC 2 Type II and zero data retention, a no-training-on-inputs commitment, and higher rate limits for teams.
Jev Guides & ArticlesDocs#official#enterprise#compliance
Official
The contact hub for TypeSafe, routing enquiries to four paths: Enterprise, Partnerships, Individual Builders, and the help.typesafe.ai support center.
Jev Guides & ArticlesDocs#official#support#contact
Official
TypeSafe's accessibility statement: the site is being improved against WCAG 2.2 Level AA, some charts still lack complete text descriptions, and problems can be reported to [email protected].
Jev Guides & ArticlesDocs#official#accessibility#legal
Official
The index of TypeSafe's blog, collecting six posts across Company News, Thoughts, and Media, from the stealth-exit launch post to the Series AI announcement and the founder profile.
Jev Guides & ArticlesDocs#official#blog#hub
Official
A theoretical study of recalibrating many related yes/no questions that each have few labels, motivated by decision models such as Jev. It derives minimax compound-risk rates and shows pooled isotonic fitting with one per-question correction achieves them, while tuning questions separately loses a factor.
Jev Practices & PatternsArticle#community#research#arxiv
Community
A benchmark evaluating Theory of Mind selection in typed decision models against generative baselines: 11,117 English questions from nine ToM benchmarks across six capability groups. TypeSafe Jev reaches 73.2% source-balanced accuracy and ranks first or second on every capability.
Jev Benchmarks & EvaluationsArticle#community#research#arxiv
Community
HKUST-KnowComp/Jev-ToMPython
HKUST-KnowComp/Jev-ToMPythonA bias audit of typed decision models used as judges, running the CALM benchmark's bias tests on eight TDMs and seven LLM judges from 2024 and 2026. Every TDM is biased in three to eight of twelve tests, and emotional tone drops a typical TDM's accuracy from 99% to 42%.
Jev Benchmarks & EvaluationsArticle#community#research#arxiv
Community
A study of option-order sensitivity in System One models and a training-free fix called Runoff. It scores each option alone to keep a few candidates, then compares them with each candidate in every position, removing order dependence in two forward passes.
Jev Practices & PatternsArticle#community#research#arxiv
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.