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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- 3,889
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- 11
- Official
- 102
- Community
- 3,787
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- 293
- Deep dives
- 3,889
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3889- Docs169
- Repos & sites3090
- Videos74
- Posts103
- Articles377
- Playgrounds76
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All 3889 Jev AI model resources
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Showing 1–48 of 3889 resources
Fine-tuning method that turns fix commits into comparison groups so an open-weight model scores code functions for vulnerability. An ensemble of five Qwen3.5-4B models reaches 0.814 AUROC on a 7,270-function benchmark, against 0.743 for Jev 1.13.
Jev Models & ReimplementationsArticle#arxiv#open-models#security
Community
arXiv paper evaluating 22 hosted decision models and two prompted general models as runtime classifiers for a multi-rule coding-agent policy engine. It reports recall, false-positive, latency, and cost results on a 2,643-call synthetic dataset with a sealed holdout.
Jev Benchmarks & EvaluationsArticle#arxiv#evaluation#benchmark
Community
A TypeSafe AI Hugging Face dataset of agent trace observability records for evaluation workflows, with cases (111 rows), questions (1.12k rows), and run_results (999 rows) in parquet, including per-provider and consensus decision blocks.
Jev Benchmarks & Evaluations#evaluation#agents#benchmark
Community
Hugging Face dataset from TypeSafe AI of customer-service dialogs with per-policy decisions from OpenAI and Anthropic models and a mean-probability consensus field. Parquet, English, 1K–10K rows.
Jev Benchmarks & Evaluations#evaluation#benchmark#routing
Community
Hugging Face dataset from TypeSafe AI holding invoice documents as tabular and text data for evaluation workflows. Parquet files pair raw invoice text with structured fields such as line items, quantity, unit price, and amount.
Jev Benchmarks & Evaluations#evaluation#benchmark#python
Community
Hugging Face dataset from TypeSafe AI pairing security incident telemetry with model decision outputs. Tabular and text parquet rows, English, 1K–10K records, loadable with Datasets, pandas, or Polars.
Jev Benchmarks & Evaluations#evaluation#benchmark#security
Community
arXiv paper introducing Kev-Bio, a vision-language model that answers clinical measurement questions to place ultrasound calipers. It turns language-model decision representations into queries matched against dense ultrasound features, producing spatial probability maps for landmark coordinates.
Jev Models & ReimplementationsArticle#arxiv#research#open-models
Community
Go agent that runs a local model through Ollama and uses Jev to pick the relevant skill and MCP tool for each request. The LLM generates tool arguments, which are validated against the tool schema before the MCP client executes them.
Jev Agents & MCP#github#agents#mcp
Communityantirepas/GoGoJevMCP
freeCodeCamp article introducing the Jev Course on prefill-only inference and decision models built from scratch in PyTorch, covering encoder and decoder variants, custom causal masking, and KV-cache reuse.
Jev Guides & ArticlesArticle#article#python#explainer
Community
arXiv paper proposing IJev, an inference-time method that repeatedly reorders options by a cyclic-averaged, label-prior-corrected distribution and runs another cyclic average. It reports zero flip rate across five benchmarks and five models.
Jev Practices & PatternsArticle#arxiv#calibration#evaluation
Community
A Hugging Face Space by lalaninj that demonstrates JEV-9B producing typed decisions. It is duplicated from the autotrust/jev-9b-decision-demo Space and runs on Zero GPU hardware, with app Files and Community tabs on the page.
Jev Demos & ExperimentsPlayground#demo#playground#browser
Community
Hugging Face dataset of synthetic conversational question-and-answer pairs about Jev internals, covering pointer-head scoring, replay-source counts, slot-selection ladders, and model lineage. English text, 10K-100K rows, Apache-2.0, tagged for fine-tuning and knowledge injection.
Jev Models & Reimplementations#open-models#research#evaluation
Community
LoRA adapter for Qwen3.5-4B that scores medical multiple-choice options in a single forward pass and returns a short JSON object with the chosen answer key and per-option probabilities, without explanations or chain-of-thought.
Jev Models & Reimplementations#open-models#python#classification
Community
n8n workflow that reads incoming Gmail messages with .docx or .pdf CV attachments, extracts the document text, uses Jev to classify candidates by area, academic level, and years of experience, then routes each structured record into Airtable.
Jev Integrations & Adapters#github#routing#classification
Communitynello27/n8n-cv-recruitment-pipeline
Crash-course repository introducing TypeSafe AI's Jev product, with setup steps and runnable scripts. Dependencies are installed with uv into a local .venv, and example scripts are executed with uv run main.py.
Jev Guides & Articles#github#python#catalog-import
CommunityCOMMAND-LABS/welcome-to-jev
Hugging Face repository holding three project-authored technical-smoke checkpoints for Active-Med-Jev, produced with the technical-smoke option on randomly generated synthetic tensors. They are software tests, not scientific or clinical models.
Jev Models & Reimplementations#open-models#community
Community
arXiv study applying Jev and Clef-Flash to manufacturing defect detection with as few as two reference images per class, including agentic refinement of text descriptions and probability calibration. Ships replication code, an R decisions package, and a no-code web app.
Jev Benchmarks & EvaluationsArticle#arxiv#calibration#classification
Community
npm package that brings TypeSafe AI evaluation into the Effect ecosystem, issuing requests through Effect's HttpClient and deriving answer types from the request definition. Published under the @effect-agent scope for TypeScript projects.
Jev Repos & SDKs#typescript#sdk#evaluation
Community
arXiv paper introducing Flide, an exact inference engine for decision models such as Jev. It decouples the logical tree of a decision request from physical execution and reports answers up to 9.5 times faster than vLLM and SGLang.
Jev Models & ReimplementationsArticle#arxiv#benchmark#evaluation
Community
A Go service that polls Hacker News every two minutes, evaluates each new story against customised decision trees using Jev, and posts matching posts to a Telegram chat or channel. The decision trees live in a SQLite database and are fully customisable.
Jev Tools & CLIs#github#classification#routing
Communityuint4096/hndelegate
Independent audit repository testing whether Jev's probabilities are calibrated on EIA weekly petroleum reports, comparing Jev via LangChain TypeSafeClassifier against an LLM-as-classifier, rules, and climatology baselines.
Jev Benchmarks & Evaluations#evaluation#calibration#benchmark
Communityn9omi/jev-calibration-audit
A CLI that compiles natural-language agent rules into Jev programs: a few narrow typed questions answered by TypeSafe's System One model plus a reducer that computes the verdict in ordinary code, so a markdown rule becomes an invariant you can read, diff and unit-test.
Jev Tools & CLIs#cli#coding-agent#claude-code
Community
A browser playground that turns prompts into abstract art through Jev's structured decisions, updating only the relevant fields of an 80+ characteristic renderer spec as you type, while comparing Jev with a single-call LLM, sandboxed custom JavaScript, and prompt-to-image generation.
Jev Demos & ExperimentsPlayground#playground#demo#javascript
Full-parameter fine-tune of Qwen3.5-4B for medical multiple-choice scoring. Given a case and candidate options, it returns the chosen option key with per-option probabilities as short JSON, without explanations or chain-of-thought.
Jev Models & Reimplementations#open-models#classification#python
Community
An n8n community node for the TypeSafe AI System One (Jev) API. It adds Ask Yes/No, Ask Choice, Ask Score, Evaluate Questions and Get Many Models operations, so workflows can branch on calibrated probabilities instead of parsed free text.
Jev Integrations & Adapters#n8n#classification#routing
Community
Pi Coding Agent extension that replaces Pi's default LLM-summary compaction with TypeSafe Jev keep, drop, and truncate decisions, scoring tool calls and results while keeping user and assistant text verbatim. Falls back to Pi's built-in summary.
Jev Agents & MCP#agents#coding-agent#typescript
Community
Apache-2.0 Hugging Face repository for RSI-JEV-27b, a 27B multimodal decision model based on Qwen3.8-27B that answers supplied multiple-choice questions over images, returning a selected option and probabilities for all options in one forward pass.
Jev Models & Reimplementations#open-models#benchmark#calibration
Community
Hugging Face dataset holding the run artifacts of the rsi-jev-27b-vision evaluation: per-shard results, vision scores, latency summaries, environment and provenance files, and worker logs, each recorded with byte size and SHA-256 hash.
Jev Benchmarks & Evaluations#evaluation#benchmark#open-models
Community
First-party TypeSafe AI decision provider for Standard Agents. It implements DecisionProviderInterface with kind 'decision' and decide(), sending explicit context and multiple independent questions to Jev in one request.
Jev Integrations & Adapters#typescript#sdk#agents
Community
TypeSafe Jev adapter for TanStack AI. It exposes typed evaluate decisions over HTTP, letting TanStack AI applications route requests through Jev's System One model from JavaScript or TypeScript.
Jev Integrations & Adapters#typescript#javascript#sdk
Community
Rust single-binary behavioral intrusion prevention system and cross-platform firewall bouncer (pf, nftables, ipset, netsh) that batches suspicious actors into Jev /v1/systemone calls and syncs threat intelligence across a fleet over gRPC.
Jev Integrations & Adapters#rust#security#guardrails
Communitygeorge-amir/Custos
A Claude Code plugin and npm library that replaces the LLM compaction summary with Jev decisions: each tool call and result is scored, stale ones are dropped or truncated, and everything kept stays verbatim. A fork adds jev-compact and jev-gate CLIs that run through OpenRouter.
Jev Agents & MCP#claude-code#coding-agent#cli
Community
Hugging Face model card for JEV-Computer-Use, a System-One decision model for computer and browser use that reads out calibrated discrete action probabilities in a single forward pass instead of verbose text reasoning.
Jev Models & Reimplementations#open-models#browser#agents
Community
Browser demo that sends one text to TypeSafe Jev and lights up 200 yes/no judgments as a live heatmap in roughly 150-300 ms, with seven 200-question sets, a threshold slider, and zero npm dependencies.
Jev Demos & ExperimentsPlayground#demo#browser#javascript
Communitycharles-forsyth/jev-decision-wall
Self-hosted French-language web workshop that puts Jev against an OpenAI-compatible LLM. Participants run discovery scenarios, anti-scam missions with probability thresholds, and a duel comparing errors, latency, cost, and calibration.
Jev Tools & CLIsPlayground#github#playground#calibration
CommunityNijal-AI/jev-lab
A natural-language linter for Node 24+ in which an ast-grep matcher selects the code and a one-sentence Jev rule returns a calibrated verdict. Ships 99 rules covering names, comments, tests, shell scripts, commit messages, and AGENTS.md files.
Jev Tools & CLIs#cli#typescript#guardrails
Community
Command-line tool that reads a git diff, asks Jev how much the change can alter each test's outcome, and prints filter arguments for vitest, jest, node --test, bun test, Playwright, cargo test, or go test.
Jev Tools & CLIs#cli#typescript#coding-agent
Community
Hugging Face model repository from nikolaus714 distributing a Jev vision model in GGUF format. Its chat template accepts image and video content blocks, wrapping them in vision start and end tokens for multimodal prompts.
Jev Models & Reimplementations#open-models#local#catalog-import
Community
Unofficial community C#/.NET client for TypeSafe AI's Jev decision model, published on NuGet as Jevelin. It wraps the ask endpoint with typed question factories for yes/no, choice, and score questions, plus configurable model, timeout, and base address.
Jev Repos & SDKs#github#sdk#dotnet
Communitynickproud/Jevelin
Satirical Python script that answers a query with DO or DO_NOT plus a random confidence percentage, presented as a natural alternative to Jev. MIT-licensed, Python 3.8+, one dependency, no API keys or model weights.
Jev Models & Reimplementations#github#python#open-models
CommunityAhmad170412/Koin
Browser TypeScript library that runs open Jev-shaped System One models through Transformers.js. Takes one state plus typed questions and returns a calibrated probability distribution per question, on-device via WebGPU or WebAssembly.
Jev Repos & SDKs#typescript#browser#open-models
Community
Oxlint JS plugin that turns plain-English yes/no questions into lint rules answered by TypeSafe Jev. Rules target a function, call, JSX element, or whole file, and report when Jev's yes-probability clears a per-rule cutoff.
Jev Integrations & Adapters#javascript#typescript#guardrails
Community
Russian-first open typed-decision model on Hugging Face. Given a context and a set of candidate options it returns a calibrated probability and picks one, covering yes/no, choice, and ordinal scale decisions. Built on mmBERT-base with 307M parameters under an MIT license.
Jev Models & Reimplementations#open-models#calibration#classification
Community
LoRA fine-tune of Qwen/Qwen3-8B published by workmagicio and tagged as a Jev decision model for typed decisions. Distributed in safetensors under the anyjev library name, with an English conversational text-generation pipeline.
Jev Models & Reimplementations#open-models#lora#qwen3
Community
Hugging Face LoRA adapter from workmagicio, fine-tuned from Qwen/Qwen3-8B and tagged decision-model and typed-decisions. Published under library anyjev with safetensors weights for English text generation.
Jev Models & Reimplementations#open-models#lora#typed-decisions
Community
Case study evaluating Jev 1.13.0 on time-series decision tasks, including classification, event type prediction, oil temperature direction, and stock movement, converting continuous forecasts into discrete decisions and scoring accuracy and AUC.
Jev Benchmarks & EvaluationsArticle#arxiv#evaluation#benchmark
Community
arXiv paper introducing PrimaCons, a four-axis benchmark measuring whether Jev gives consistent decisions when the same semantic state is expressed as different typed query primitives, plus the Cross-Primitive Residual Calibrator (CPRC) proposed to reduce that inconsistency.
Jev Benchmarks & EvaluationsArticle#arxiv#evaluation#calibration
Community
Hugging Face dataset from TypeSafe AI for evaluating decision models on workplace documents. Three subsets cover 150 cases, 7.5k questions and 67.5k run results, distributed as parquet in English under an Apache-2.0 license.
Jev Benchmarks & Evaluations#evaluation#benchmark#python
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.
Cyber-JEV: Matched Contrastive Fine-Tuning for Source-Code Vulnerability TriageJev Models & Reimplementations
Decision Models as Policy Gates for Coding AgentsJev Benchmarks & Evaluations
EvalSafe Agent Trace Observability DatasetJev Benchmarks & Evaluations
EvalSafe Customer ServiceJev Benchmarks & Evaluations
EvalSafe Invoice Processing DatasetJev Benchmarks & Evaluations
EvalSafe Security IncidentsJev Benchmarks & Evaluations
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 3889 entries from 293 source sites, last updated Nov 4, 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. 3889 of the 3889 entries carry one today.
For the canonical details, read the official TypeSafe docs and the API reference.