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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- 3,919
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- Official
- 102
- Community
- 3,817
- Source sites
- 293
- Deep dives
- 3,919
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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 913–960 of 3919 resources
wangkuangkuang's Python MCP bridge to Jev: three official question types plus compare, verify, and batch classify, with a one-command installer that writes client config for Claude Code, Pi, Cursor, OpenCode, or Codex.
Jev Agents & MCP#community#mcp#python
Community
A self-contained Python FastMCP service exposing jev_choice, jev_score, jev_noul, and a batching jev_decide over Streamable HTTP, deployed behind a Caddy sidecar with a single shared bearer token.
Jev Agents & MCP#community#mcp#python
Community
An MCP server and CLI that put Jev in front of any agent with escalation, an action gate, and four interchangeable backends — TypeSafe, OpenRouter, Vercel AI Gateway, or an offline mock — plus a zero-token Claude Code hook.
Jev Agents & MCP#community#mcp#javascript
Community
Freepik's dependency-light Go MCP server for Jev with five validated tools — decide, classify, verify, rerank, and list_models — OpenRouter or TypeSafe credentials, and Apache-2.0-licensed source.
Jev Agents & MCP#community#mcp#go
Community
MCP.so's explainer on Jev: how Choice, Score, and Noul differ from text generation, where a decision layer fits in retrieval, verification, routing, and ranking, and the four tools in the community Jev MCP server.
Jev Guides & ArticlesArticle#community#mcp#article
Community
Language support for SysOneScript (.sos) that wires VS Code to the native language server and runtime: a DAP debugger, stream inspection, a project-control dashboard, and Jev tokens stored in SecretStorage.
Jev Tools & CLIs#community#vscode#language-server
Community
HarcoChen's VS Code client for DeepSeek Harness with native diffs, approval cards, persistent sessions, and a bundled Laya/Jev integration for loop guarding, done-gating, tool pruning, and typed decision tools.
Jev Tools & CLIs#community#vscode#coding-agent
Community
DeepInfra's survey of the decision-model category: pointer-head architecture, RLCD calibration, latency and cost figures for Jev and its rivals, and a landscape table spanning TypeSafe, AWS, Convai, Kev, OpenAI, and Ollaya.
Jev Guides & ArticlesArticle#community#analysis#architecture
Community
DeepInfra's case for splitting agent work between a cheap execution model and a frontier planner, citing the LangChain benchmark that cut cost 74% while only 7% of calls reached the frontier model.
Jev Guides & ArticlesArticle#community#analysis#routing
Community
DeepInfra's reference for its hosted System One endpoint: POST /typesafe/v1/systemone takes a state, model, and questions and returns a model and answers, with a companion list-models endpoint.
Jev Guides & ArticlesDocs#community#docs#api
Community
Angel Nikolov's field report from three remote job boards: one Jev fan-out call per posting replaces keyword rules for sites, seniority, regions, work model, and benefits, with shadow mode before enforcement.
Jev Guides & ArticlesArticle#community#article#classification
Community
Charlie Chen's five-minute guide to Jev: the hosted API opened to everyone on 21 September 2026, Choice, Score, and Noul in practice, a working Python request, and the jevmodel.org playground with free tokens.
Jev Guides & ArticlesArticle#community#article#tutorial
Community
Mariano Barcia splits an invoice pipeline by semantics: the generative model extracts supplier, number, and amount, while Jev's two Choice questions handle supplier evidence and property selection, with policy left in Java.
Jev Guides & ArticlesArticle#community#article#java
Community
czmilo's long guide to TypeSafe's System One model: the 193.6x/444.6x benchmark claims, RLCD training, Cloudflare, OpenRouter, and LangChain availability, a 32K context window, and vendor caveats.
Jev Guides & ArticlesArticle#community#article#guide
Community
A Chinese-language summary of the Latent Space interview with TypeSafe CEO Diogo Almeida, framing Jev as a production System One model rather than a general God model: parallel sampling, 70–500 ms latency, and $0.042 per million input tokens.
Jev Guides & ArticlesArticle#community#article#interview
Community
accept99 explains how Jev differs from chat models and how to run Jev-like decision models for free: Ollama serves nimble 9B and tev1 4B and 0.8B over /v1/systemone, while the open-source Laya project offers pip-installable weights and an MLX build for Macs.
Jev Guides & ArticlesArticle#community#article#local
Community
A step-by-step tutorial by 雪庭 that goes from a first curl call against api.typesafe.ai through the Python typesafe-sdk to the jev-review MCP plugin for Claude Code and Codex, including typed Choice, Score, and Noul questions in one request.
Jev Guides & ArticlesArticle#community#article#sdk
Community
A step-by-step Chinese guide to putting Jev behind backend approval flows: obtain a JEV_API_KEY, send code, type, and scene to the evaluation endpoint, then route by confidence — 0.90 and above auto-pass, 0.70 to 0.90 human review, below 0.70 reject or retry.
Jev Guides & ArticlesArticle#community#article#api
Community
Elastic's Dustin Coates scores Elasticsearch hybrid search results with Jev and reranks them with a small Python policy, lifting nDCG@10 from 0.9351 to 0.9565 and Exact MRR from 0.9201 to 0.9616 across 250 Amazon Shopping Queries.
Jev Guides & ArticlesArticle#community#article#reranking
Community
Behaviour unpacks Jev's zero-hallucination claim as structural — outputs are confined to a fixed schema, so answers are valid but not necessarily correct — alongside the $40M seed round, Vercel adoption, Arize benchmarks, and prompt-injection findings.
Jev Guides & ArticlesArticle#community#article#safety
Community
A Google Cloud Community walkthrough by developer advocate Jeff Nelson that calls Jev from BigQuery through a private Cloud Run adapter, turning support-ticket text into owning-team, urgency, and blocking columns for 30 fictional tickets.
Jev Guides & ArticlesArticle#community#article#bigquery
Community
Kervin Hu's Neo4j Developer Blog experiment runs Jev Noul over 1,822 blocker-filtered candidate pairs from 703 synthetic contact records: F1 0.943 at a 0.5 threshold, about two cents per thousand pairs, and a hybrid reaching 0.972.
Jev Guides & ArticlesArticle#community#article#entity-resolution
Community
A Kaggle notebook titled "Jev vs LLM comparison", associated with the "Natural Language Processing with Disaster Tweets" competition dataset; the JavaScript-rendered page shows only the title and competition on its public listing.
Jev Benchmarks & EvaluationsArticle#community#benchmark#kaggle
Community
Danial Zakaria's RSNA Knee dataset and writeup release CoAtNet/MIL SWA checkpoints at 0.949 and 0.945 public AUC whose weak labels blend public sources with JEV text-model labels, credited with +0.002 (0.939 to 0.942).
Jev Benchmarks & EvaluationsArticle#community#benchmark#medical-imaging
Community
Crunchbase profile for TypeSafe AI: CB Rank 25, San Francisco headquarters, a Series A in Funding Rounds, founders Diogo Almeida, Erik Gafni, and Sasha Sheng, and Jev described as a System One Model returning typed decisions.
Jev Guides & Articles#community#company#funding
Community
Crunchbase profile for Jev AI Model: an independent Raleigh, North Carolina playground and API for Jev and the Laya model family, with a free signed-in playground, comparisons across up to 25 labeled cases, and a key- and credit-gated API.
Jev Guides & Articles#community#company#playground
Community
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
MarkTechPost's write-up of the Jev 1.14 release: images, a box question type and 262k long context as experimental danger-zone features, unchanged $0.042 per million input token pricing, and TypeSafe's own note that none are production-ready.
Jev Media & TalksArticle#community#news#images
Community
Tech & Business newswire item on TypeSafe opening experimental API access to image inputs and longer context for Jev, alongside the Jev 1.14.0 release through jev-preview and a new box output type.
Jev Media & TalksArticle#community#news#images
Community
RSS.bz's compilation of TypeSafe's launch posts for Jev 1.14, released October 14 at 1:14pm PT with experimental preview features: image support, a new box type and longer context, plus internal benchmark guesses.
Jev Media & TalksArticle#community#news#model-release
Community
OpenRouter's listing for typesafe/jev-1.14: TypeSafe's structured decision model at $0.042 per million input tokens with output free, a 262K context, and one provider behind the OpenRouter Decisions API.
Jev Integrations & Adapters#community#openrouter#gateway
Community
OpenRouter's listing for typesafe/jev-router, a Jev-powered endpoint that picks the best model and reasoning effort for each request, balancing quality, speed and cost and adapting as the conversation evolves.
Jev Integrations & Adapters#community#openrouter#routing
Community
Jev News's desk for TypeSafe's October 14, 2026 Jev Day: Jev 1.14.0 shipped as jev-preview with opt-in images, a Box type and 262k context, plus the desk's dated API checks and what they returned.
Jev Guides & ArticlesDocs#community#news#danger-zone
Community
Jev News's rollout story for Jev 1.14: OpenRouter listed typesafe/jev-1.14 while TypeSafe's jev-latest alias still returned jev-1.13.0 at 06:16 UTC, with the desk's own API calls recorded across the day.
Jev Guides & ArticlesArticle#community#news#openrouter
Community
LiteLLM serves decision models on two routes that share one provider list: /v1/decisions for OpenAI-format bodies and /v1/systemone for System One bodies, with Jev available as the typesafe/jev-latest provider.
Jev Integrations & AdaptersDocs#community#litellm#gateway
Community
Spring AI Community's TypeSafe starter puts Jev behind seven Spring AI SPIs: judge, self-refine advisor, guardrail advisor, document filter, reranker, tool index, and evaluator.
Jev Integrations & AdaptersArticle#community#java#spring
Community
Christian Tzolov plugs JevDocumentFilter and JevDocumentReranker into Spring AI's Modular RAG pipeline: four Noul questions per chunk drop injections, contradictions, and noise before a one-question reranker keeps the top three.
Jev Integrations & AdaptersArticle#community#java#spring
Community
Mastra's classifier primitive defines choice, score, and boolean questions against an evaluation model such as jev-latest, returning a probability for each criteria key so workflow branch logic can act on the answer.
Jev Integrations & AdaptersArticle#community#typescript#mastra
Community
An official Mastra template that checks pricing, changelog, and documentation pages against saved captures, has Jev classify each change with its evidence, and routes it to ignore, record, request review, or alert.
Jev Integrations & AdaptersDocs#community#typescript#mastra
Community
BAML maps function return types onto Jev questions: bool and float become Noul probabilities, enums and literal unions become Choice picks, and one class turns its fields into a single multi-question request.
Jev Integrations & AdaptersArticle#community#baml#dsl
Community
TanStack AI's TypeSafe adapter covers evaluate only and talks to TypeSafe over fetch, wiring jev-latest into decide() with choice, score, and boolean question helpers and a required TYPESAFE_API_KEY.
Jev Integrations & AdaptersDocs#community#tanstack#typescript
Community
DSPy's experimental decision types put Jev behind one Predict: Noul, Choice, and Score annotations, per-field thresholds and cuts, and adapter translation that derives results from probability evidence.
Jev Integrations & AdaptersDocs#community#python#dspy
Community
The Laravel AI SDK's docs carry a Classification section covering classifying images, yes or no decisions, and choosing from collections, and list TYPESAFE_API_KEY among the provider credentials in config/ai.php.
Jev Integrations & AdaptersDocs#community#php#laravel
Community
Freek Van der Herten describes replacing a fifteen-language subject-prefix list with Jev in There There's helpdesk: three questions in one call, header checks first, raw probabilities stored next to each thresholded verdict.
Jev Integrations & AdaptersArticle#community#php#laravel
Community
A follow-up on There There's Jev use: workflow conditions described in plain language become a Boolean question in the same inbound classification request, and Jev picks a ticket's assignee from a curated list.
Jev Integrations & AdaptersArticle#community#php#laravel
Community
Comet's Opik team ran Jev beside a gpt-4o-mini judge over 1,000 production turns: 89.7% agreement, 3.5x cheaper and 3.8x faster at the median, with the 103 disagreements concentrated at mid probabilities.
Jev Integrations & AdaptersArticle#community#opik#evals
Community
Akka's post walks from a Jev triage example - eight questions with probabilities - to an effects API judgment call and an AI Gateway that can route to hosted Jev or a self-hosted OpenJev model.
Jev Integrations & AdaptersArticle#community#java#akka
Community
LakeSail built five Jev functions into Sail's SQL, so Spark SQL and DataFrame queries can ask typed questions about every row, with calls overlapping in the Rust engine behind one in-flight limit per worker.
Jev Integrations & AdaptersArticle#community#sql#rust
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.