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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

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Browse the Jev AI model by category

11 ways into the ecosystem. Each category page leads with its own shortlist of starting points.

All 3919 Jev AI model resources

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Showing 1969–2016 of 3919 resources

Veris tests Jev as a semantic turn-detection gate for one Pipecat voice agent from its VAmoS Pro Bench, with labels complete, short, and long. Interruptions fell from 52% to 11% of caller turns across noise conditions, but task completion barely moved and median replies slowed from 2.1 s to 4.6 s.
Jev Benchmarks & EvaluationsArticle#community#voice#turn-detection
Community
Kiln points its autoresearch loop at Jev for Mandarin pinyin disambiguation. The optimized harness, built from jieba segmentation and CC-CEDICT word evidence with some chained Jev calls, cuts mistakes from 316 to 147 on 61,750 decision positions, ahead of a DeepSeek reasoning baseline at $1.60 versus $11 per pass.
Jev Practices & PatternsArticle#community#optimization#chinese-nlp
Community
A community tutorial site that walks from Jev concepts to a first API call, the Python SDK, Choice/Score/Noul question types, and confidence thresholds. It also hosts a project radar of community repositories with E0-E3 evidence levels and review boundaries for each listing.
Jev Guides & ArticlesDocs#community#tutorial#getting-started
Community
Halv reports a paired SWE-rebench comparison where its workflow, an Astra coordinator, a Luna investigation stage, and JEV selecting worker models and reasoning effort, recorded $144.67 in model cost versus $337.50 for vanilla Codex across 42 runs, with both arms passing 25 verifier runs.
Jev Benchmarks & EvaluationsArticle#community#benchmark#routing
Community
Release notes for the official Python SDK, from the 14 September 2026 public release through the Pydantic migration and the HTTP/2 extra.
Jev Repos & SDKsDocs#official#docs#sdk
Official
Release notes for the official JavaScript and TypeScript SDK: the 11 September 2026 public release and the Score criteria breaking change.
Jev Repos & SDKsDocs#official#docs#sdk
Official
RetryPolicy for the Python SDK: attempt count, exponential backoff with jitter, which HTTP statuses retry, and a total time budget.
Jev Repos & SDKsDocs#official#docs#sdk
Official
The Python SDK error hierarchy: HTTP status classes, rate-limit wait hints, connection and timeout errors, and response-body validation failures.
Jev Repos & SDKsDocs#official#docs#sdk
Official
AsyncTypeSafeClient: async system_one calls, model listing, per-call retry and timeout overrides, and an optional Pydantic response model.
Jev Repos & SDKsDocs#official#docs#sdk
Official
How the Python SDK types questions: Noul, Choice, and Score as objects or dictionaries, including optional JSON instructions and criteria.
Jev Repos & SDKsDocs#official#docs#sdk
Official
The Python response models: SystemOneResponse groups answers by id, and records the model name, token usage, and request id.
Jev Repos & SDKsDocs#official#docs#sdk
Official
Default settings and environment variable names for the Python SDK, including the API root, model alias, and per-request timeout.
Jev Repos & SDKsDocs#official#docs#sdk
Official
TypeSafe's 20 September 2026 post that Jev is available to everyone with no waitlist, linking the console.
Jev Guides & ArticlesPost#official#x#launch
Official
TypeSafe's 24 September 2026 update that new Jev signups were still closed while they added capacity.
Jev Guides & ArticlesPost#official#x#launch
Official
TypeSafe's 27 September 2026 announcement that Jev capacity increased and new signups were open again.
Jev Guides & ArticlesPost#official#x#launch
Official
The reply on TypeSafe's reopen thread: new Jev signups no longer receive free credits, and the console link is repeated.
Jev Guides & ArticlesPost#official#x#pricing
Official
The TypeSafe team page: Diogo Almeida as CEO, Sasha Sheng as COO, and Erik Gafni as CTO, plus the line Build Prod, Not God and a link to open roles.
Jev Guides & ArticlesDocs#official#company
Official
TypeSafe's 11 September 2026 essay against benchmaxxing: a public eval can select the model even when nobody trains on that test.
Jev Guides & ArticlesArticle#official#benchmarks#evaluation
Official
TypeSafe's website terms, last updated 19 September 2026. They cover typesafe.ai. A separate agreement covers the products and services.
Jev Guides & ArticlesDocs#official#legal
Official
TypeSafe AI, Inc.'s master customer agreement, last updated 23 September 2026. It is the contract for services named in an order.
Jev Guides & ArticlesDocs#official#legal
Official
TypeSafe's privacy policy, last updated 19 November 2025. It covers the website, the playground, and APIs that link to the policy.
Jev Guides & ArticlesDocs#official#legal#privacy
Official
Rules for using TypeSafe services, last updated 23 September 2026. They ban illegal content, rights violations, and phishing or spoofing.
Jev Guides & ArticlesDocs#official#legal
Official
TypeSafe's data processing addendum, last updated 24 April 2026. For customer personal data, the customer is the controller and TypeSafe is the processor.
Jev Guides & ArticlesDocs#official#legal#privacy
Official
TypeSafeClient, the synchronous Python client: ask questions, list models, and set the key, model, retry policy, and HTTP timeout.
Jev Repos & SDKsDocs#official#docs#sdk
Official
Shared Python SDK types: JSONValue, a nested JSON-like value that may be None, and descriptions built from strings or JSON values.
Jev Repos & SDKsDocs#official#docs#sdk
Official
12GitHub stars
Official n8n community node for System One. Evaluate adds an answer to each item. Route sends an item out based on one question.
Jev Integrations & Adapters#official#n8n#typescript
18GitHub stars
The code behind evals.typesafe.ai. It runs four published workflows against Jev and other providers and scores them on reference labels.
Jev Benchmarks & Evaluations#official#evaluation#python
Sean Brownell scores sample call transcripts in a harness, including a case where the agent reads out card details, and compares that pass with a frontier-model estimate.
Jev Media & TalksVideo#community#video#evaluation
Community
AIEdTalks part 4 on the batching trick: a loop that resends a long document for every question, versus one call that asks all thirteen.
Jev Media & TalksVideo#community#video#cookbook
Community
Dan Makes Things wires an ESP32 robot so Jev picks the next move, and asks whether it is the first robot controlled that way.
Jev Demos & ExperimentsVideo#community#video#robotics
Community
Max Jesch, on IBM Developer, walks Jev as a System One model that returns probabilities for classification instead of generating text.
Jev Media & TalksVideo#community#video#explainer
Community
Martin Keen, on IBM Technology, explains Jev as a System One model whose output is a decision rather than generated text.
Jev Media & TalksVideo#community#video#explainer
Community
LangChain maps Kahneman's split onto models: System 1 as the fast automatic decision, System 2 as the slow deliberate one, with Jev in the first role.
Jev Media & TalksVideo#community#video#explainer
Community
AiNow dates the Jev release to September 2026 and walks live demos of a model that returns a decision instead of the next token.
Jev Media & TalksVideo#community#video#demos
Community
Aishwarya Srinivasan's 22-minute end-to-end on using System One models inside software, instead of sending every structured check to a text model.
Jev Media & TalksVideo#community#video#architecture
Community
Dots and Arrows on production checks that need one answer in about 200 milliseconds, and why that is a different job from streaming tokens.
Jev Media & TalksVideo#community#video#explainer
Community
Automate with Marc tests Laya, the open decision model people shorthand as Jev for free, on 100 sales leads beside Claude Code.
Jev Media & TalksVideo#community#video#open-models
Community
Ben Horowitz and Martin Casado interview Diogo Almeida on why capable models have not automated ordinary software, and what Jev is for instead.
Jev Media & TalksVideo#community#video#explainer
Community
Turing Post TV tests Jev from early access in the TypeSafe playground, starting from the constraint that it does not write essays or code.
Jev Media & TalksVideo#community#video#evaluation
Community
India Jade explains RLCD as a response to using a frontier model for a small decision, which is the job TypeSafe trains Jev for.
Jev Media & TalksVideo#community#video#explainer
Community
ML Visualized retells Diogo Almeida's Latent Space point that a launch chart with the new model on top of every row is not something you can trust as a benchmark.
Jev Media & TalksVideo#community#video#evaluation
Community
7kGitHub stars
A native MLX runtime for Laya's open typed-decision weights: short decisions on Apple Silicon, with no generated tokens, PyTorch, or cloud API.
Jev Models & Reimplementations#community#python#open-models
1.6kGitHub stars
Laya typed decisions through Apple Core ML and the Neural Engine, with the author's speed and energy benchmarks for short decisions on an M3 Max.
Jev Models & Reimplementations#community#python#open-models
188GitHub stars
A local site, games, a benchmark, and an agent skill for Laya. The public pages replay recorded runs; the clone runs the model on your machine.
Jev Demos & Experiments#community#javascript#open-models
A curated list of System One and typed decision models: hosted APIs, open weights, runtimes, SDKs, apps, benchmarks, and papers, in English and Chinese.
Jev Guides & Articles#community#awesome-list#open-models
195GitHub stars
A Python harness for System One models. It runs Jev and other decision models locally, or through HarnessRouter.ai.
Jev Tools & CLIs#community#python#open-models
An unofficial Hugging Face space that tracks open Jev reproductions and scores the ones that finished a frozen benchmark suite.
Jev Benchmarks & EvaluationsPlayground#community#evaluation#open-models
Community
Nikola Balić on why the Jev launch was easy to try and share: a side-by-side demo, a first useful decision, and distribution through people who built their own demos.
Jev Guides & ArticlesArticle#community#article#launch
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

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 News

Reddit: 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 News

Hacker 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 News

Hacker 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 News

How 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.