The Jev launch post
Diogo Almeida introduces Jev, TypeSafe’s structured decision model. Watch the launch film and explore the original thread for the model’s approach, examples and author-reported performance.
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Recent activityA FIELD GUIDE TO JEV / VOL. 01
The best of Jev. Real projects, practical guides and ideas from across the internet.
Diogo Almeida introduces Jev, TypeSafe’s structured decision model. Watch the launch film and explore the original thread for the model’s approach, examples and author-reported performance.
TypeSafe’s official launch announcement introduces the lab and points builders to Jev. It includes Diogo Almeida’s launch film and original introduction.
TypeSafe announces public access to Jev without a waiting list. The official console is the starting point for trying typed decisions in your own application.
TypeSafe highlights Jev’s typed-output approach: applications provide state and questions, then act on probabilities, choices or scores. The linked announcement also covers the Venice API integration.
Start with the Launch Post. Explore four official signals.
154 resources
AI-assisted summaries and translations. Check original sources for context and performance claims.
A command-line interface for Jev that provides answers and exit codes based on input questions.
JEVLAB ARTSource-linked curation
A small, extensible decision-to-action harness for TypeSafe Jev.
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A developer project that selects applicable rules for Claude, ensuring only relevant information is shown.
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A React app that estimates an age range based on a Korean name, described as a developer tool.
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A Chrome extension that organizes bookmarks using user-defined rules for categorization.
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A developer project generating paintings based on Jev's pixel probability calculations, collected for the tools shelf.
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A Mac voice diary tool that uses Jev for sorting and integrates with Notion.
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Instinct: describe a case in free text and Jev picks the UI from a fixed catalog without generating a line of code or copy.
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Grep by meaning, across languages. TypeSafe Jev scores every line against a meaning; combine meanings with AND/OR/NOT. 意味で探す grep。日本語で英語を、英語で日本語を検索できる.
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An experimental programming language for constructing Jev-based queries, aimed at developers.
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Rewrite AI drafts in your own voice with a bounded TypeSafe feedback loop.
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A macOS tool for identifying safe ports to stop, developed as a GitHub project.
JEVLAB ARTSource-linked curation
TypeSafe Jev playground — custom Choice/Score/Noul builder with live distributions.
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A playground for experiments around Jev, TypeSafe's System One model.
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🚀 Blazing-fast native macOS menu bar companion for Notion. Pure Swift & SwiftUI (<3MB), 8 languages.
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Fish-style zsh history autosuggestions ranked by Jev (TypeSafe).
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Adapt local language models into Jev-compatible structured decision engines with Choice, Score, and Noul outputs powered by prefill-only binary inference.
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Home Assistant integration for TypeSafe Jev. Ask a question about your house and get a probability, a choice or a score as an entity.
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Semantic SQL for Postgres, powered by Jev.
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Multi-axis writing quality checker powered by TypeSafe AI's Jev model. Separate named checks, each with its own verdict and confidence.
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Scala 3 / ZIO client for the System One API: typed end-to-end, several questions per round-trip via NamedTuple.
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A grill-me style interrogation of your idea, with Jev doing the grilling.
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Antivirus scanner and real-time defense sentinel: extracts structural features from executables, scripts, and documents (entropy, hashes, strings, PE imports) and has Jev judge whether each is malicious.
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A curated list of public projects, integrations, and discussions built on Jev — TypeSafe AI's System One model for typed decisions.
JEVLAB ARTSource-linked curation
A tool for automated risk review of pull requests using Jev.
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Community .NET SDK for the TypeSafe AI System One API — typed noul, choice, and score questions with structured, confidence-scored answers. Not affiliated with TypeSafe AI.
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Typed System One layer for Rust (Choice/Score/Noul).
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A developer project focused on bug-bounty chain tools, with Jev gating each step in the process.
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The invalidation layer for AI memory. Every fact gets a lease; new evidence ends it. Built on TypeSafe Jev.
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BRRRRRRRRRRRRRRRRRRRRRR.
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Typesafe/Jev public X demo.
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A live tone labeler for Bluesky posts and drafts, using TypeSafe's Jev API.
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Emoji autocomplete at the speed of typing. TypeSafe AI Jev on a Whop-hosted TanStack Start app.
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A playground for TypeSafeAI's Jev Model.
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The decision layer for your Rails app. A Rails-native wrapper around TypeSafe's Jev System One API: typed, calibrated decisions in your control flow.
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Ask Jev typed questions from the shell: noul, choice, and score answers as numbers, not prose.
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Community Go SDK for the TypeSafe System One API with typed Choice, Score, and Noul questions plus retries, contexts, and structured errors.
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Reimagined window switcher for macOS using frontier artificial intelligence. Predicted by TypeSafe's Jev model.
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A decision cache for TypeSafe Jev-class models — memoize decisions so repeats are free, deterministic, and shareable. One 2 MB binary.
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An idiomatic Elixir client for the TypeSafe AI API.
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Async Python client for TypeSafe Jev. Typed questions in, probabilities and choices out, no prose to parse.
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Typesafe/Jev public X demo.
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Selects source-linked evidence within a token budget using Jev Noul relevance judgments and local diversity-aware selection.
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System One Search: navigate and trace code with TypeSafe judgments and repository evidence.
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Idiomatic Java SDK for TypeSafe AI Jev System One decision engine.
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Local A-share technical analysis using Jev Choice and Noul questions to assess direction and volatility across two horizons, with evidence for Buy/Hold/Sell assessments and no order execution.
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Neovim popup for jev-lens verdicts: do I need to look, which files, and strip the debris.
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Typed TypeSafe AI clients for Rust, with async and blocking backends and observable retries.
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Ruby client for decision models such as Typesafe Jev.
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Скилл для агентов Letta: суждения по критериям через TypeSafe System One (Jev).
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Ask a yes/no question of every function in a codebase. Ranked answers in seconds, for cents. Grep whose pattern is a question, powered by TypeSafe Jev.
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Neovim plugin that asks the buffer a plain-language question: Treesitter splits it into functions, Jev scores each one, and answers land in quickfix ranked by probability.
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Typed decisions with TypeSafe's Jev, the first System One model.
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Rust SDK for the TypeSafe AI API.
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A curated, source-backed list of projects built with Jev, TypeSafe AI's System One model for typed decisions.
JEVLAB ARTSource-linked curation
Evidence-backed use cases, patterns, and guidance for building with Jev, TypeSafe AI's System One model. Every claim is labeled and sourced.
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Helping JEV speak <3.
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A source-backed Jev project directory with a reusable Jev-only GitHub review workflow.
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English full-duplex voice control for macOS with OpenAI Realtime, native Accessibility, and Jev.
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A supervised Mint client for the TypeSafe AI System One API.
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Swift SDK for TypeSafe AI.
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Connect WordPress to TypeSafe's Jev System One model for structured decisions (choice, score, noul).
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Twelve members. Zero qualifications. A playful TypeSafe AI council with animated votes, inspectable decisions, and shareable verdicts.
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A curated list of tools built for Jev — TypeSafe AI's System One model for typed decisions.
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This demo uses Jev from TypeSafe AI to autonomously fly a drone in a random city from point A to point B, avoiding obstacles along the way. A trip costs $0.01.
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TypeSafe structured-output provider for RubyLLM 2.
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A self-hosted skills library with optional Jev recommendations.
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Pre-install security gate for npm lifecycle scripts using TypeSafe System One.
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Hunch is a GitHub tool for code review that applies rules written in plain English to analyze and improve code quality.
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Jev scores collapsed log batches; code maps answers to suppress, watch, review, notify, or page. Nothing is executed.
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A Kotlin DSL and client for TypeSafe's Jev model.
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Rust client for the TypeSafe System One API (Jev).
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