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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
3,904
Categories
11
Official
102
Community
3,802
Source sites
293
Deep dives
3,904

By format

3904
  • Docs169
  • Repos & sites3095
  • Videos74
  • Posts104
  • Articles384
  • 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.

All 3904 Jev AI model resources

Search the full directory, or filter by category and tag.

Showing 3409–3456 of 3904 resources

449GitHub stars
Turns local text and vision models into Jev-style decision models by reading probabilities from prefill logits alone, with SGLang, Transformers, and Apple Silicon MLX backends.
Jev Repos & SDKs#community#python#open-models
240GitHub stars
Together AI's open recipe and weights for a Jev-inspired decision model fine-tuned on Qwen3.5-4B, with the full data pipeline, training config, and saved benchmark results.
Jev Repos & SDKs#community#python#open-models
105GitHub stars
OpenLayer's eval and guardrail library that replaces LLM judges with Jev-style decisions, packing every check for an agent trace into one request.
Jev Repos & SDKs#community#python#evaluation
152GitHub stars
A Python toolkit that puts Jev, Laya, or Cua-S1 at the center of browser, computer-use, robotics, and game agents, with a CLI and an MCP server.
Jev Repos & SDKs#community#python#agents
972GitHub stars
A Next.js input box that morphs into the right UI as you type, using Jev to answer 14 intent questions in one call while deterministic code computes the values.
Jev Tools & CLIs#community#typescript#ui
353GitHub stars
A semantic linting CLI that parses a repository into a method-level call graph, then asks Jev to flag likely defects and check rules written in plain English.
Jev Tools & CLIs#community#javascript#cli
654GitHub stars
A TypeScript layer beside an LLM: JevSift selects approaches, JevLoop audits progress with typed actions, and JevLong watches sessions for stalls without steering them.
Jev Tools & CLIs#community#typescript#coding-agent
546GitHub stars
A Python framework where an authoring LLM writes a task-specific Jev harness, then optionally evolves it using reward reflection and GEPA over full trajectories.
Jev Tools & CLIs#community#python#agents
262GitHub stars
Describe a startup idea and Jev returns KILL IT, FIX IT, or SHIP IT from one request of ten scored questions, with goal-weighted scoring and a SQLite archive.
Jev Cookbooks#community#typescript#demo
98GitHub stars
An intraday trading bot for the Nifty 50: Jev ranks names every 15 seconds through the Vercel AI Gateway, and code sizes positions, stops, and flatten times.
Jev Cookbooks#community#typescript#trading
A Japanese demo that asks Jev 0.5 seconds after speech ends whether the turn is really over, then extends the hold time based on the returned score.
Jev CookbooksPost#community#x#video
Community
34GitHub stars
An independent ecosystem tracker that rescans GitHub, X, and five directories every three hours, publishing 220+ documented Jev cases with confidence grades and a JSON API.
Jev Guides & Articles#community#directory#data
The Neuron's plain-English explainer on why Jev replaces the chatbot interface with parallel typed decisions, plus the vendor-reported speed and cost claims.
Jev Guides & ArticlesArticle#community#explainer#news
Community
A roughly 10,000-call black-box investigation that reconstructs Jev's likely architecture: a shared state prefix, isolated question branches, and direct probability readouts.
Jev Practices & PatternsArticle#community#analysis#architecture
Community
A critical technical read of Jev's launch claims that digs into the calibration and eval numbers and asks what the architecture keeps secret.
Jev Practices & PatternsArticle#community#evaluation#calibration
Community
An independent evaluation of Jev in three retrieval stacks, with recalculated recall, latency, and cost against DeepSeek, GPT-4o-mini, and GPT-5-mini baselines.
Jev Practices & PatternsArticle#community#search#reranking
Community
An explainer written for people who read everything about Jev and still did not get it, published as an X article and shared as a post.
Jev Guides & ArticlesPost#community#x#explainer
Community
A video walkthrough of the control-system pattern: a request becomes structured state, Jev returns typed decisions, and code keeps the expensive model out of every loop.
Jev Practices & PatternsVideo#community#x#video
Community
A video comparison of local Laya against cloud Jev on a Tetris agent, where the open-weights model made decisions 11 times faster on a 16 GB MacBook Air.
Jev Practices & PatternsVideo#community#x#video
Community
A growth marketer's thread of eight SEO workflows Jev can run, from finding internal-link pairs to spotting cannibalizing pages and thin content.
Jev Guides & ArticlesPost#community#x#use-cases
Community
Two browser games against a live Jev opponent: a first-person quick-scope arena and a neon survival challenge, where Jev picks tactics and authored code handles movement and physics.
Jev CookbooksPlayground#community#playground#games
Community
Four board games against Jev where the model picks the move and code keeps the rules: tic-tac-toe, Connect Four, Battleship, and Wordle.
Jev CookbooksPlayground#community#playground#games
Community
An autonomous Pac-Man recreation steered by Jev: before each junction the game sends the maze, actors, and legal directions as structured data, and Jev returns one direction with a probability per option.
Jev CookbooksPlayground#community#playground#games
Community
A playable Tetris where you can drop pieces yourself or let the TypeSafe Choice primitive pick every move.
Jev CookbooksPlayground#community#playground#games
Community
A live 3D chess match where Jev plays both sides with different personas and exposes the probability split behind every move.
Jev CookbooksPlayground#community#playground#games
Community
Test a social post on 10,000 simulated AI readers with their own jobs, tastes, and memories before the real internet sees it.
Jev Tools & CLIsPlayground#community#playground#social-media
Community
A browser builder for System One requests: define state plus Noul, Choice, and Score questions, preview mock distributions, and generate Python typesafe_sdk code.
Jev Tools & CLIsPlayground#community#playground#sdk
Community
A 3D robot that understands without generating text: one TypeSafe call per turn with nine typed questions, then code decides whether to act, ask, or shrug.
Jev CookbooksPlayground#community#playground#embodied-agent
Community
A natural-language smart-room demo: describe a mood and Jev decides lights, curtains, TV, music, volume, and desk lamp in one request.
Jev CookbooksPlayground#community#playground#smart-home
Community
Say the moment and get reaction GIFs: Jev picks a reaction and literal subjects, then scores a KLIPY shortlist of up to 30 candidates from titles and tags.
Jev Tools & CLIsPlayground#community#playground#gifs
Community
Describe the startup you are looking for and Jev ranks the pile, asking once per startup whether it is a fit.
Jev Tools & CLIsPlayground#community#playground#search
Community
A first-person village where NPCs remember what you do and Jev decides how they treat you, with a board of 21 outcomes to earn before nightfall.
Jev CookbooksPlayground#community#playground#games
Community
A public Jev API funded by creator fees from a token, with a playground, docs, use cases, and a smart treasury dashboard.
Jev Tools & CLIsPlayground#community#playground#api
Community
A git host for agents where every push and pull request gets a typed Jev review, every branch move a signed certificate, and sites deploy from a repo.
Jev Tools & CLIsPlayground#community#playground#code-review
Community
Cole Medin's week of hands-on testing, covering where Jev gates replace regex or slow LLM calls, plus demos that play his indie game and triage every open pull request.
Jev Media & TalksVideo#community#video#tutorial
Community
A Krish Naik explainer on whether Jev replaces LLMs and where decision models fit next to generative models.
Jev Media & TalksVideo#community#video#explainer
Community
Scott Chacon runs hosted Jev against two local decision models, laya and kev, in a Tetris match and a GitHub Settings filter, with a public test repo.
Jev Practices & PatternsVideo#community#video#open-models
Community
A walkthrough of what Jev and Laya are and the prior-art controversy, including Laya's claim to have been built over a year earlier.
Jev Media & TalksVideo#community#video#open-models
Community
A skeptical computer-use test of Jev with a public test repository, from Builder.io's Steve.
Jev Practices & PatternsVideo#community#video#computer-use
Community
codebasics explains why a non-generative model matters and walks through hands-on code, including the caveat that Jev cannot write text or code.
Jev Media & TalksVideo#community#video#tutorial
Community
A chaptered walkthrough with a Python demo repo covering Noul, Choice, and Score, parallel multi-question calls, and an autonomous triage loop.
Jev CookbooksVideo#community#video#python
Community
A local-inference walkthrough that compares Kev, SemIf, Von, and OpenJev on consumer hardware, including Brier scores and a fake-probabilities warning.
Jev Practices & PatternsVideo#community#video#open-models
Community
A two-hour recorded run of 50 financial workflows with saved outputs, baselines, and failures, from ledger integrity to AML triage and sanctions matching.
Jev CookbooksVideo#community#video#finance
Community
A head-to-head benchmark that prices 200 products from descriptions with Jev against GPT-5.6 Luna and GPT-4.1-Nano.
Jev Practices & PatternsVideo#community#video#benchmarks
Community
A release guide with eval tables, pricing, curl and Python examples, and fit boundaries for Jev's early access.
Jev Guides & ArticlesArticle#community#article#pricing
Community
A heavily footnoted claims audit that separates documented Jev facts from marketing, including the seed round, third-party tests, and missing transparency.
Jev Guides & ArticlesArticle#community#article#analysis
Community
A hands-on Python guide that installs typesafe-sdk, walks through Choice, Noul, and Score, and sketches a chargeback-tool integration and benchmark plan.
Jev Guides & ArticlesArticle#community#article#tutorial
Community
A TypeScript tutorial and critical explainer covering AI SDK integration, triage code, and the zero-hallucination caveat.
Jev Guides & ArticlesArticle#community#article#typescript
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 3904 entries from 293 source sites, last updated Nov 5, 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. 3904 of the 3904 entries carry one today.

For the canonical details, read the official TypeSafe docs and the API reference.