Skip to content

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
3,739
Categories
11
Official
102
Community
3,637
Source sites
292
Deep dives
3,739

By format

3739
  • Docs169
  • Repos & sites2980
  • Videos73
  • Posts103
  • Articles344
  • Playgrounds70

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 3739 Jev AI model resources

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

Showing 1–48 of 161 resources

0GitHub stars
Privacy-first Next.js app that sorts saved X bookmarks into Top picks, Needs human look, and Skip using one Jev call per bookmark. Composite scoring, confidence-gated routing, and a deterministic mock mode that runs without an API key.
Jev Demos & Experiments#demo#typescript#routing
0GitHub stars
Python reference gate that runs three independent Jev calls per decision — safety, legitimacy, and adversarial framings — and requires consensus before an action runs. Any single block vetoes the action; any escalate routes it to a human.
Jev Agents & MCP#guardrails#python#agents
0GitHub stars
Android game autopilot that captures live gameplay with MediaProjection, sends typed box, choice, and noul questions to a Jev endpoint, and injects root-free taps and swipes through the Accessibility framework, with a floating HUD and sequential goal presets.
Jev Demos & Experiments#madewithjev#games#demo
Command-line semantic search project that pairs a pretrained ModernBERT embedding model with optional Jev typed yes/no reranking, and includes a Neo4j-backed product-information-management demo with a product catalog ontology and CSV import.
Jev Tools & CLIs#madewithjev#python#cli
0GitHub stars
Open, configurable guard for company AI agents built on Jev. Agents call it before sending email, launching campaigns, or editing a CRM, and receive allow, block, or hold. Companies are described in a YAML profile; includes a demo UI, human review inbox, and eval scripts.
Jev Agents & MCP#guardrails#agents#python
A research demo that runs a fine-tuned MedGemma 1.5 4B adapter on retinal fundus images in Colab, passes the generated findings through Jev as a text quality gate, and drafts ophthalmologist and patient summaries via OpenRouter.
Jev Demos & Experiments#madewithjev#research#open-models
0GitHub stars
A personal Docker app that collects stock news from 29 RSS outlets and Finnhub every 30 minutes, then uses Jev to score each article for relevance, impact, and whether it reads as bullish or bearish, showing it on a web timeline.
Jev Demos & Experiments#madewithjev#github#classification
2GitHub stars
Spanish-language prototype that uses Jev to classify event sign-ups and decide program, action, and message before sending, with a guardrail that approves, flags, or blocks outgoing text. Includes synthetic datasets, evaluation scripts, and a local engine that runs without a key.
Jev Demos & Experiments#madewithjev#demo#python
1GitHub stars
Independent experiment scoring 400 real job postings against 30 fictional résumés with Jev, producing 12,000 evaluations in about 197 seconds for roughly $0.17, with a 100-posting answer key and an analysis of what the model got wrong.
Jev Benchmarks & Evaluations#github#madewithjev#evaluation
1GitHub stars
An npm package of Jev-powered tools you can run from the terminal, browser, Claude or ChatGPT. It ships Laugh Track, Steering Wheel, Semantic Bisect, Collision Engine and a jev_ask tool, all on your own Jev key.
Jev Tools & CLIs#cli#mcp#playground
0GitHub stars
JevPilot is a real-time 2D autonomous highway runner and developer telemetry lab that steers a car with Jev or Clef System One decision models, charting latency, confidence, and steering choices in a live dashboard.
Jev Demos & Experiments#demo#games#javascript
Python pipeline that extracts YouTube video and Shorts metadata with yt-dlp and classifies topics, content formats, and educational value using TypeSafe AI's Jev decision model. Packaged and managed with Astral's uv; requires a TYPESAFE_API_KEY.
Jev Repos & SDKs#github#python#classification
1GitHub stars
Early-stage macOS app and Chrome extension that steers X's For You feed by browsing, reading, and interacting with posts. Posts without images are judged by Jev; posts with attached images go to Luna. Reading history stays on the local machine.
Jev Agents & MCP#madewithjev#agents#browser
0GitHub stars
Showcase where paintings dropped onto a score are read by Gemini for mood and culture, while Jev conducts a live AI band bar by bar, answering up to 11 questions in about 200 ms before Lyria RealTime plays the result.
Jev Demos & Experiments#demo#madewithjev#browser
7GitHub stars
Go terminal document classifier built on Jev. It copies a document into a local library, extracts its text, and asks Jev five typed questions covering category, sensitivity, urgency and whether action is required, then files the copy using deterministic Go thresholds and SQLite metadata.
Jev Tools & CLIs#cli#classification#local
0GitHub stars
Browser and terminal demo that ranks emoji against a free-text query by sending one Jev score question per emoji, then filtering by a tunable score floor and limit. Includes a bench harness over saved queries.
Jev Demos & Experiments#madewithjev#demo#typescript
3GitHub stars
Minecraft survival bot built on Mineflayer that asks Jev four typed questions every 600ms — threat level, action, whether to eat, flee direction — plus a tactical goal-selection loop, with simulated emotions and persistent memory feeding each request.
Jev Demos & Experiments#demo#games#madewithjev
5GitHub stars
Google Apps Script project that sends each new Gmail thread to Jev in a single request and applies plain-English rules as labels, priority stars, Google Tasks deadlines, and phishing flags. Adds a morning digest and a waiting-on-reply reminder.
Jev Integrations & Adapters#github#madewithjev#javascript
1GitHub stars
iMessage networking agent for Luma events that uses Jev as its match classifier, ranking attendees against a user's event goal and answering live should-I-talk-to-this-person questions with probabilities.
Jev Agents & MCP#agents#madewithjev#classification
Community2003gdb/Meety
GitHub issue triage agent built with Eve and Jev. It takes one typed decision per issue through a pipeline of classify, validate, duplicate and apply steps, with dry-run defaults, a label allow-list, and raw Jev answers stored for threshold tuning.
Jev Agents & MCP#agents#github#madewithjev
763GitHub stars
An intent compiler for AI agents: it probes what files and tickets already answer, asks only what they can't, and emits a typed IntentSpec YAML saved to .intent/<intent>.intent.yaml before work is routed. The README positions it as the input layer for routers and typed-decision models like Jev and Laya.
Jev Agents & MCP#community#catalog-import#madewithjev
362GitHub stars
Agent tooling that turns a model idea into a buildable LEGO model: the agent writes a plan and a generator script that produce LDraw source, plus a 3D viewer, a Blender-editable glTF file and a Meta Quest 3 VR view. Part search uses jev-rerank, a semantic search reranked by TypeSafe's Jev.
Jev Tools & CLIs#community#catalog-import#madewithjev
224GitHub stars
A playable Three.js driving simulator where Jev-powered autopilot picks steering and speed up to four times per second: compact tables of eligible paths, traffic and road boundaries go to Jev while geometry and control math stay local.
Jev Demos & Experiments#community#catalog-import#cobanov
Nate Berkopec's personal dotfiles converge a fresh macOS or Ubuntu host with one ./bin/dotf run command — Homebrew, mise, system packages, macOS defaults and Ruby steps — and the madewithjev listing credits the repo with a You Should Know plugin for Pi built on Jev and Luna.
Jev Tools & CLIs#community#catalog-import#madewithjev
144GitHub stars
An English reading tutor for Chinese learners: R2T2 streaming ASR transcribes as you read aloud with a 160 ms step and committed text that only grows, then Jev answers closed questions per mismatched word — same word or not, error category, sentence score.
Jev Tools & CLIs#community#catalog-import#madewithjev
137GitHub stars
A Python benchmark that evaluates LLMs' reasoning and instruction-following by making them play chess against a random player or the Komodo Dragon engine in multi-turn dialogs, separating chess skill from protocol durability.
Jev Benchmarks & Evaluations#community#catalog-import#madewithjev
125GitHub stars
A Go linter that checks code against plain-language rules: Tree-sitter extracts code units, then each one is sent to Jev or another configured decision provider to decide whether it passes, with caching and eval fixtures.
Jev Tools & CLIs#community#catalog-import#logicrw
104GitHub stars
A local vision decision tool built on Qwen3.5-4B: one forward pass turns an image, a question, and a set of options into option probabilities, with a measured 169 ms median complete request on a single RTX A6000.
Jev Tools & CLIs#community#catalog-import#madewithjev
A worked example of using Jev as an LLM judge: ten synthetic frozen refund-support traces are scored by three yes/no criteria and one ordered helpfulness rubric in a single Jev request and recorded as a Comet Opik experiment.
Jev Benchmarks & Evaluations#community#catalog-import#madewithjev
66GitHub stars
A local app that turns a worded query into a physics pile of floating YC logos: retrieval over 6,241 companies by meaning, logo image, OCR'd logo text, and Jev re-applied tags, with Jev scoring the finalists into calibrated probabilities.
Jev Demos & Experiments#community#catalog-import#madewithjev
63GitHub stars
A small local app that turns Jev's per-pixel probability distributions into paintings: stroke pigments are sampled from the probabilities, mean color supplies the underpainting, and entropy controls relief, rendered in a browser worker.
Jev Demos & Experiments#community#catalog-import#madewithjev
58GitHub stars
An enterprise admin-console test tool that generates replayable Excel test cases from live browser pages, or replays existing Excel cases, driving Playwright with local Laya or a compatible decision API to match fields, options, and targets.
Jev Tools & CLIs#community#catalog-import#madewithjev
59GitHub stars
A Next.js console whose whole design system is generated at runtime by Jev from a one-sentence brief: type 'an 18th century printed book' and every visual decision is chosen, not written, from a catalog a person authored.
Jev Demos & Experiments#community#catalog-import#madewithjev
42GitHub stars
A schema-guided document-to-graph pipeline: local parsing feeds entity mentions and bounded candidate pairs to Jev, which chooses among closed-set relations, and every edge lands as proposed, review, or rejected with page-level evidence.
Jev Tools & CLIs#community#catalog-import#madewithjev
19GitHub stars
A correctness-validated Laya runtime for Apple Silicon that runs upstream Laya on the MLX GPU and the Apple Neural Engine, using the ANE only after an artifact passes a parity gate on your machine, plus a local Jev-compatible server.
Jev Repos & SDKs#community#catalog-import#madewithjev
17GitHub stars
Laya GGUF inference and an HTTP server written in Goish Rust: one Linux binary runs upstream Laya or OpenThai-SystemOne on your CPU and serves typed choose, score and check decisions over HTTP, the CLI or a JSON-lines process.
Jev Repos & SDKs#community#catalog-import#madewithjev
16GitHub stars
A Three.js first-person garden game where a glowing fly hunts goblins and TypeSafe's Jev steers: about five times per second it answers four typed questions on turning, sidestepping trunks, climbing and diving, and every flight is logged.
Jev Demos & Experiments#community#catalog-import#madewithjev
15GitHub stars
A tuner that trains language models to answer closed-set decisions with a complete probability distribution in one forward pass, using a tokenized multi-class Brier loss so only the correct choice is needed to train.
Jev Repos & SDKs#community#catalog-import#madewithjev
16GitHub stars
An Ollama-style local runner for System One decision models from Hugging Face: pull, serve and query them behind the same /v1/systemone API as TypeSafe's Jev, with a terminal model manager and a browser playground.
Jev Tools & CLIs#community#catalog-import#madewithjev
14GitHub stars
Write end-to-end tests for web apps in plain English; jev-e2e turns each case into a plan, has Jev pick the page controls, and runs it with Playwright, returning PASS, FAIL or BLOCKED with HTML, JSON and masked screenshot evidence.
Jev Tools & CLIs#community#catalog-import#madewithjev
12GitHub stars
CLI and agent skill that finds useful notes in a local Obsidian vault or Logseq Markdown graph: it shortlists candidates on your machine, then has Jev rank them against your question and returns the exact source passage.
Jev Tools & CLIs#community#catalog-import#madewithjev
12GitHub stars
ProphetLab's Texas Hold'em benchmark and playground for decision models: separate cash and sit-and-go leaderboards, hand replays, a Jev-backed advisor, and bring-your-own-agent tables, all with virtual chips.
Jev Benchmarks & Evaluations#community#catalog-import#madewithjev
11GitHub stars
Browser-only Laya demo suite: four Vite apps — a Traditional Chinese decision playground, Gomoku, Big Two and a 3D maze — run the Laya ONNX model on-device through Transformers.js, downloading fp16 weights from Hugging Face on first use.
Jev Demos & Experiments#community#catalog-import#madewithjev
12GitHub stars
A local app that reads a few lines of notes about your product and lets Jev pick its way to a finished landing page: Jev never writes text, it only chooses between options, and code builds the page from those picks.
Jev Tools & CLIs#community#catalog-import#madewithjev
10GitHub stars
A small, idiomatic Elixir client for Jev: Jev.ask?/2 returns a real boolean, choose/3 picks among supplied options, score/3 rates ordered levels, and analyze/3 sends several typed questions in one provider request.
Jev Repos & SDKs#community#catalog-import#madewithjev
10GitHub stars
A GitHub App that routes pull-request review work through Jev: it ingests the webhook, normalizes the PR context, gets a LOW, NORMAL or SPECIALIST decision, and a deterministic policy layer maps it to auto-approval, a review request or a check-run update.
Jev Integrations & Adapters#community#catalog-import#logicrw
10GitHub stars
A pure-Rust port of Laya that answers typed questions — choice, score or yes/no — about any text in one batched forward pass, loading checkpoints from the Hugging Face Hub via candle and returning calibrated labels, scores and probabilities with no Python.
Jev Repos & SDKs#community#catalog-import#madewithjev
9GitHub stars
A GitHub Action that asks Jev one yes/no question per thing worth checking on a pull request and approves only when every answer clears your confidence threshold; otherwise it skips and comments with the numbers.
Jev Integrations & Adapters#community#catalog-import#logicrw

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 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.