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.
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- 102
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- 3,817
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3919- Docs169
- Repos & sites3102
- Videos74
- Posts104
- Articles392
- Playgrounds78
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All 3919 Jev AI model resources
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Showing 1681–1728 of 3919 resources
326,619 typed decision records from the frozen community-hard-mix-v2-final mixture: a redistributable projection of the data behind Open-Jev 27B training, with 2,053 Wikispeedia rows omitted.
Jev Benchmarks & EvaluationsDocs#community#benchmark#evaluation
Community
Raw traces from retired, versioned native ToolEmu and AgentDojo runs, including failures and partial trajectories, preserved as original bytes with SHA256 manifests and upload revisions.
Jev Benchmarks & EvaluationsDocs#community#benchmark#evaluation
Community
English, Turkish and German decision-model test data with probability targets: 3,116 held-out rows across three languages, where Deem-4B scores 94.7% in English against Kev-4B's 84.7%.
Jev Benchmarks & EvaluationsDocs#community#benchmark#evaluation
Community
Cases and predictions from JevBench, an open evaluation framework for typed decision models: 24,799 decisions over public-dataset slices for hosted Jev, djev-0.1 and laya-421m-en.
Jev Benchmarks & EvaluationsDocs#community#benchmark#evaluation
Community
Evaluation and training artifacts from Jev Alt System One work: teacher merge outputs, baseline summaries and Kev-0.8B plus Kev-4B typed-decision records with the scripts that built them.
Jev Benchmarks & EvaluationsDocs#community#benchmark#evaluation
Community
1,601,157 training and 66,482 test decision questions for JevEmbed, covering choice, score and noul types across ten Parquet shards of at most 200,000 rows each.
Jev Benchmarks & EvaluationsDocs#community#benchmark#evaluation
Community
897,035 search-agent decision rows in unified JEV format across train, validation and test, covering retrieval judgment, query understanding, evidence judgment and search actions.
Jev Benchmarks & EvaluationsDocs#community#benchmark#evaluation
Community
One timed Tetris game by the next-jev choice-head model on Qwen3.5-0.8B: 1,000 pieces, 398 lines and 9.52 seconds on an H100 NVL, with per-piece timings and decoded latent reasoning.
Jev Benchmarks & EvaluationsDocs#community#benchmark#evaluation
Community
Arabic intent-routing benchmarks split across MSA, Emirati, Saudi and code-switched slices: 4,974 held-out queries over 60 routes plus a 20-question unseen-domain RAG test, CC BY 4.0.
Jev Benchmarks & EvaluationsDocs#community#benchmark#evaluation
Community
Harmful/benign classification and answer-choice robustness for five type-safe models: 83,183 source requests from XSTest, OR-Bench and HarmBench in original, reversed and order-only variants.
Jev Benchmarks & EvaluationsDocs#community#benchmark#evaluation
Community
25,418 Korean text-only evaluation items from 9 public datasets and 22 subsets, normalized to finite-choice decisions, with baseline results for ten model configurations.
Jev Benchmarks & EvaluationsDocs#community#benchmark#evaluation
Community
An independent Laya-versus-Jev comparison on one RTX 5090: phishing detection over 2,000 emails, the typed-decisions suite, latency scaling to 100 questions per pass and eleven probe assertions.
Jev Benchmarks & EvaluationsDocs#community#benchmark#evaluation
Community
A benchmark of natural-language requests to edge services paired with typed intent contracts: 33 conditions of 300 test cases each, from a UTS study on Jev decision models for edge orchestration.
Jev Benchmarks & EvaluationsDocs#community#benchmark#evaluation
Community
An interactive ZeroGPU demo of AutoTrust's JEV-9B: System 1 answers noul, choice, and score questions in one prefill pass with calibrated probabilities, while an Escalate tab hands low-confidence cases to the untouched Qwen3.5-9B base.
Jev Demos & ExperimentsPlayground#community#playground#demo
Community
AutoTrust's live game-arena demo: watch JEV-27B play Mario, a 3D Rubik's Cube, and Tetris while a side panel reports action probabilities and per-decision inference time, alongside a decision lab and a ViZDoom arena.
Jev Demos & ExperimentsPlayground#community#playground#demo
Community
A three-lane demo of pngwn's System One 4B scorer: one prefill plus a batched forward for every option branch, a naive per-option equivalence check, and a Qwen3.5-4B instruct baseline generating JSON.
Jev Demos & ExperimentsPlayground#community#playground#demo
Community
A static page that races three LLM judging gates — Laya, JEV, and zero-token ZTC — on the same Tetris board with identical pieces, proposals, and noise, publishing paired-match results and the measured constants behind them.
Jev Demos & ExperimentsPlayground#community#playground#demo
Community
A Gradio playground for Jev-Omni: give a situation plus a question with options and get one probability per option from a single forward pass, with no generated text, from a Gemma 4 12B IT fine-tune.
Jev Demos & ExperimentsPlayground#community#playground#demo
Community
Benchmark Heaven's static snapshot of the JevBench v1.6.1 decision-model board: capability and composite scoring over typed-decision accuracy, calibration, latency, and cost, readable without JavaScript.
Jev Demos & ExperimentsPlayground#community#playground#demo
Community
A static React front-end for ra_jev_v3, described as Qwen3.5-4B plus LoRA, whose inference runs on the same organisation's ra_jev_api ZeroGPU backend Space, with mock and custom-backend URL options.
Jev Demos & ExperimentsPlayground#community#playground#demo
Community
A Gradio playground for KaLM-Jev Small structured judgments: choice, score, noul, and mixed JSON questions return probability tables and full responses without generating answer text on shared ZeroGPU.
Jev Demos & ExperimentsPlayground#community#playground#demo
Community
A Gradio demo of Maincode's 26B MATILDA-jev-v1 one-pass decision model: feed a text or JSON state, optionally an image, and a choice, noul, or score question to get calibrated probabilities over your options.
Jev Demos & ExperimentsPlayground#community#playground#demo
Community
A ZeroGPU demo of AutoTrust's JEV-27B-VL: System 1 returns calibrated noul, choice, and score probabilities from one prefill pass over text and images, with System 2 on the untouched Qwen3.8-27B for escalation.
Jev Demos & ExperimentsPlayground#community#playground#demo
Community
A browser dino run steered by small decision models: each obstacle becomes a one-line text question answered through open-jev, with a three-course index comparing models in real-time or turn-based mode.
Jev Demos & ExperimentsPlayground#community#playground#demo
Community
The project page for Jev-Mem, a system-one-controlled agentic memory design from UT Dallas researchers: it reports 0.777 on LoCoMo, 6.6x faster memory construction, and 36.7% lower query latency than the fastest baseline.
Jev Demos & ExperimentsPlayground#community#playground#demo
Community
A grep that finds lines by what they mean: TypeSafe Jev answers typed questions about each line, so one query matches across Japanese, French, Russian and Chinese, and meanings combine with AND, OR and NOT.
Jev Tools & CLIs#community#javascript#cli
Community
uehaj/sys1grepJavaScript
uehaj/sys1grepJavaScriptA drop-in proxy that distills a repeated Jev classification call into a local model as it runs: it learns from Jev's own probability distributions, then answers most requests itself while uncertain ones and a 2% audit slice keep going to Jev.
Jev Tools & CLIs#community#python#distillation
Community
tomerglick57/JevstillerPython
tomerglick57/JevstillerPythonA free Claude Code skill that puts Jev in front of the expensive model: thirteen commands sort, check, score, gate and verify with Jev, so Claude reads only the unsure slice and writes the output. Needs python3 and an OpenRouter key.
Jev Agents & MCP#community#python#claude-code
Community
charlesdove977/claude-x-jevPython
charlesdove977/claude-x-jevPythonA UI testing framework where Jev scores candidate elements instead of generating next-step prose: natural-language YAML cases run through pytest and a browser agent, with Allure reports and a 458 ms median per decision.
Jev Tools & CLIs#community#python#testing
Community
buer2233/jev-ui-testPython
buer2233/jev-ui-testPythonAn agent harness where Pi runs the loop, Gemini does the work, and Jev makes the small decisions: which model tier to use, which runbook sections to load, whether a tool call may run on a real Postgres database, and whether the report holds up.
Jev Agents & MCP#community#python#agents
Community
PromtEngineer/jev-harnessPython
PromtEngineer/jev-harnessPythonA live sales-call copilot that asks Jev about 37 atomic questions per utterance in one request, updating a closing-probability chart, live signals, call stage, objection state and next-best-move card within a few hundred milliseconds.
Jev Demos & Experiments#community#python#sales
Community
moritzkremb/jev-sales-copilotPython
moritzkremb/jev-sales-copilotPythonA reproducible experimentation framework and report series for Jev: it runs shared tasks at scale across benchmarks, routing and numeric prediction, and publishes bilingual findings on where the model holds up and where it does not.
Jev Benchmarks & Evaluations#community#python#evals
Community
keta1930/what-the-jevPython
keta1930/what-the-jevPythonA Hermes plugin that routes every message you type to one of four model levels with Jev deciding in about 300 ms: lightweight for the trivial, maximum for what matters, and continuations stay on the model with the warm cache.
Jev Agents & MCP#community#python#hermes
Community
okjpg/jev-hermes-routerPython
okjpg/jev-hermes-routerPythonA runnable incident-routing example that keeps exact facts, model judgment, policy and human review separate: a registry assigns known assets deterministically, and Jev answers choice, score and noul questions only when the input is messy.
Jev Demos & Experiments#community#python#incidents
A model router for the Codex CLI: on every user turn Jev judges how hard the task is and a YAML policy picks one of three lanes — flash, craft or forge — so premium quota goes to the prompts that need it.
Jev Agents & MCP#community#typescript#codex
Community
romanmeclazcke/codex-siftTypeScript
romanmeclazcke/codex-siftTypeScriptA DeepSeek Harness plugin that exposes Jev's noul, choice and score primitives as agent tools, plus configurable guardrails, retries, response caching, a circuit breaker and Web UI result cards.
Jev Agents & MCP#community#typescript#deepseek
Community
jackie-cqz/dsh-jev-pluginTypeScript
jackie-cqz/dsh-jev-pluginTypeScriptA Python toolkit that hands browser sub-tasks to Jev instead of the coding agent: one fast_run call lets Jev drive clicks and typing step by step, and the agent gets back a typed outcome or a typed reason to stop.
Jev Integrations & Adapters#community#python#browser
Community
danielnc/jev-browsePython
danielnc/jev-browsePythonAn OpenCode plugin that prunes stale tool calls and truncates bulky results on the outgoing V2 request using Jev, leaving stored history untouched and failing open when Jev is unreachable.
Jev Agents & MCP#community#typescript#opencode
A local-first studio for building and regression-testing Jev-powered conversational state machines: define states visually, watch Jev's typed choice meet your threshold, and export runnable TypeScript.
Jev Tools & CLIs#community#typescript#state-machine
Community
priyankark/jev-stateTypeScript
priyankark/jev-stateTypeScriptA research runtime for bounded decision models: it pages and refines a virtual option space so Jev can choose among far more tools, memories, and context blocks than a single request allows, with explicit approval for side effects.
Jev Agents & MCP#community#python#agents
Five self-contained Jev demos, one folder each: Jev fetching for Claude, Jev and Laya grading 500 AI answers, a prompt-injection review gate, and two fine-tuned decider comparisons against Jev.
Jev Demos & Experiments#community#python#demos
Community
mani-aiml/jev-demosPython
mani-aiml/jev-demosPythonHands the agent's browser clicks and typing to Jev: wingman hides Playwright MCP's page-action tools, asks Jev which element fits each step, and returns the step to the agent when it is unsure.
Jev Agents & MCP#community#typescript#mcp
A live long-only US equities dashboard that reads Moomoo OpenD quotes and one-minute candles, runs a deterministic seven-factor setup, and asks Jev every five seconds before gating simulated or live orders.
Jev Tools & CLIs#community#python#trading
Community
maxlibin/moomoo-jev-traderPython
maxlibin/moomoo-jev-traderPythonA MuJoCo Franka arm with an Allegro hand stacking a blue cube on a red one, driven two ways: Claude Opus 5 reasoning through low-level tools, and Jev picking each simulated move while code owns the physics.
Jev Demos & Experiments#community#python#robotics
Community
FazalAAli/jev-robotics-demoPython
FazalAAli/jev-robotics-demoPythonKorean lecture-lab code for a three-part Jev course plus a CCTV extra: first calls, agent-specific routers for Claude Code, Codex, and OpenClaw, keyless replays, Colab notebooks, and OneJev video judgment.
Jev Cookbooks#community#korean#education
Community
jkf87/jev-handsonJupyter Notebook
jkf87/jev-handsonJupyter NotebookA browser demo that walks a small robot down a road on real MaleCNS v1.0 fruit-fly wiring: Jev reads the eye and mushroom-body signals several times a second and picks which descending neuron fires next.
Jev Demos & Experiments#community#javascript#neuroscience
Community
pasangimhana/fly-x-jevJavaScript
pasangimhana/fly-x-jevJavaScriptLaunchers for Claude Code, Codex, Grok CLI, and opencode that ask Jev which model-and-effort tier each human turn needs, rewriting only the model field while the real CLI runs unchanged.
Jev Agents & MCP#community#javascript#routing
Community
flaviusapop/jev-routerJavaScript
flaviusapop/jev-routerJavaScriptA benchmark harness and web UI that cross-compares dozens of zero-shot information-extraction and classification systems — extractor encoders, rerankers, and typed-decision engines like Jev — on accuracy, latency, and cost.
Jev Benchmarks & Evaluations#community#python#benchmark
Community
umstek/zero-shot-ie-benchPython
umstek/zero-shot-ie-benchPythonStart 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.