Wprowadzenie do Jev
Diogo Almeida przedstawia Jev, model strukturalnych decyzji TypeSafe. Obejrzyj film prezentacyjny i eksploruj oryginalny wątek, aby poznać podejście modelu, przykłady i zgłoszone wyniki.
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Recent activityA FIELD GUIDE TO JEV / VOL. 01
To, co najlepsze w Jev: prawdziwe projekty, praktyczne poradniki i pomysły z sieci.
Diogo Almeida przedstawia Jev, model strukturalnych decyzji TypeSafe. Obejrzyj film prezentacyjny i eksploruj oryginalny wątek, aby poznać podejście modelu, przykłady i zgłoszone wyniki.
Oświadczenie o oficjalnym uruchomieniu TypeSafe przedstawia laboratorium i kieruje programistów do Jev. Zawiera film prezentacyjny Diogo Almeidy i oryginalne wstępne wprowadzenie.
TypeSafe ogłasza publiczny dostęp do Jev bez listy oczekiwania. Oficjalny konsolę jest punktem wyjścia do testowania typowanych decyzji w własnych aplikacjach.
TypeSafe wyróżnia podejście Jev do wyjściowych typów: aplikacje dostarczają stan i pytania, a następnie działają na prawdopodobieństwach, wyborach lub ocenach. Powiązane oświadczenie obejmuje integrację API Venice.
Start with the Launch Post. Explore four official signals.
1198 materiałów
AI-assisted summaries and translations. Check original sources for context and performance claims.
Tool for systematic reviewers to extract information from research articles efficiently.
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Jev generates piano music by selecting notes and chords based on input sequences.
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A developer project demonstrates Jev's rapid response to browser tasks, with decisions made in approximately 100 milliseconds.
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A community post showcasing Jev's ability to rank exam questions by likelihood of appearing on real tests within 80 seconds.
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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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Proof of concept MCP for Typesafe's new Jev AI model.
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A dynamic form tool using Jev for conditional logic, built with Vercel JSON-render.
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A community post explores Jev's decision-making in ethical scenarios, comparing different approaches.
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An AI-driven hedge fund utilizing Jev for fast and cost-effective trading decisions.
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A demonstration where Jev was given $10,000 to trade.
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Jev plays Connect Four on OmarchyLinux, demonstrating real-time decision loops with structured state.
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Jev AI plays Tetris at high speed, completing 357 pieces and 134 lines in 2 minutes. Demonstrates rapid decision-making capabilities.
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A method for expressing emotions through sound-based communication.
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A developer project that selects applicable rules for Claude, ensuring only relevant information is shown.
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Uses Jev for real-time voice commands to control a browser, processing speech to actions in 300ms with low cost.
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Semantic tool routing and typed System One decisions for the Pi coding agent using TypeSafe Jev.
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A setup where Jev selects between different AI models for specific tasks, streamlining model usage in a single terminal.

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A community post describes Jev attempting to play Resident Evil, testing its ability to handle 3D environments, objectives, and combat scenarios.
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Route HTTP requests by meaning. A semantic router for Hono powered by Jev.
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Official TypeSafe reference: SDE cascade.
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Jev poprawia wydajność pipeline zabezpieczeń, oferując 5-krotny spadek kosztów i szybsze przetwarzanie przy zachowaniu wyższej dokładności niż mniejsze modele.
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Active-learning CLI that uses human labels and GEPA to improve Jev decision definitions.
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Pokémon FireRed Elite Four run. A community post describing an experiment where Jev successfully completed a game with low-cost resources.
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Type-safe one-decision-per-token decoding engine for autoregressive LLMs, inspired by Jev.
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Reproducible early-access evaluation of Jev on Korean understanding and medical text, with runtime and cost evidence.
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TypeSafe Jev as the pi coding agent's quiet decision layer.
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Windows Codex Skill:通过 npx 或 Git 安装,安全配置 save-token-jev 的 PreCompact/SessionStart Hooks,并提供信任、原生压缩与旧内容隔离验证。
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A community experiment demonstrating Jev's capability to function as a computer by emulating a 6502 processor.
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Audit your git diff against YAML coding-standards packs using TypeSafe's Jev model, from a CLI or your AI agent's command/skill.
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Typesafe AI SDK in Elixir using Req.
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Jev generates 100 images from sources like NASA and The Met based on a single prompt.
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Position paper: the Hidden-Markov and fuzzy primitives missing from TypeSafe AI's Jev and System-One decision models. Two lemmas, one principle (Deferred Crispification), one architecture (BSF-S1).
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Jido agents use Jev to make moves in Tic Tac Toe, demonstrating Jev's application in game-playing agents.
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A plugin integrates Jev with a browser in Cline, enabling it to perform web-based tasks through a desktop application.
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Application of TypeSafe Jev (noul judgment primitive) on the collusion.wiki corpus: agent vs human page authorship, head-to-head vs local Qwen3.8-Flash-Next.
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A Next.js brick breaker whose paddle is controlled in real time by TypeSafe AI's Jev model. Built with Claude Code.
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A community post describing an offline decision system using Jev to evaluate research branches efficiently.
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Agent budget brake — continue / downgrade_model / stop via TypeSafe Jev.
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Typed judgment layer for coding agents — gates from PRD to ship. Jev-ready, provider-agnostic.
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A research project on GitHub uses Jev with Qwen3 models on an NVIDIA DGX Spark system.
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A tool that uses Jev to quickly decide on GitHub PR approvals by analyzing CI, diff size, and reviews in 200 ms.
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A developer project for the games shelf, where Jev improvises piano with proper questions.
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Using Jev to test how well it predicts financial markets(just like most llms as of september 2026, it doesnt do that good).
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Unofficial PHP SDK for the TypeSafe AI System One API — 1:1 parity with the official JS and Python SDKs. Not affiliated with TypeSafe AI.
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OpenJev: an independent Jev-inspired System One decision API based on TypeSafe.ai concepts. Choice, score and noul primitives, local mock server, Python and TypeScript SDKs. Real inference planned; not affiliated with TypeSafe AI.
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A game integrating Jev to display real-time decision probabilities during gameplay.
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A community post discusses Jev as a faster general classifier/decision-maker, questioning its accuracy in complex scenarios and noting potential benefits in limited solution spaces with low latency requirements.
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An open-source project that helps select relevant Claude Code skills by prioritizing frequently used ones through Jev integration.
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A guide on integrating Jev with LiteLLM for simplified model calls through an existing proxy.
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Uses Jev to decide which AI model to use before generating output, based on prompt and quality requirements.
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⚡ Ultra-fast, low-cost intelligent task classifier and 3-tier routing engine powered by TypeSafe Jev (System One).
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Per-turn model & reasoning routing for Codex, driven by Jev (TypeSafe System One): picks the model, thinking depth and speed mode for every turn.
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Pi extension: verbatim context compaction with TypeSafe Jev decisions.
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A guide explaining three types of micro decisions used by Jev AI.

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Jev analyzes session replays to identify issues and generate bug fix PRs at low cost.
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A community post suggesting Jev can be hired as a QA tester through @typesafeai.
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An experimental tool using Jev to lint Supabase Row Level Security policies.
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A browser-based search tool that uses a 27K-parameter model to parse queries with Jev's assistance.
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Scam text message filter powered by TypeSafe's Jev model.
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Throw in a pile of company files and get them classified and organized by department, type, sensitivity, date, counterparty and PII, with an index for AI agents. Powered by TypeSafe's Jev on OpenRouter (17¢ per 1,000 files). Zero-dependency Node CLI + Claude skill + Codex agent.
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Uses Jev to conduct a musical orchestra in real time through a demonstration project.
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Evidence-backed index of real-world Jev (TypeSafe AI System One) use cases: repos, patterns, benchmarks, and measured results.
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Type-safe model router. Jev (System One) banks each request to a typed catalog route.
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A demonstration of Jev competing against OpenJev in a first-person shooter game.
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A community-developed resource for analyzing and improving fighting techniques through Jev's capabilities.
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A social media feed optimized using user bookmarks and Jev's analysis.
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JEV Document Classification enables the rapid and cost-effective classification of text-based documents using AI, leveraging TypeSafe's "System One" model.
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A tool ranking Pi agent skills for specific tasks using Jev's evaluation capabilities.
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TypeSafe の Jev を TypeScript SDK で使ってみる最初の 1 歩.
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TypeSafe ogłasza publiczny dostęp do Jev bez listy oczekiwania. Oficjalny konsolę jest punktem wyjścia do testowania typowanych decyzji w własnych aplikacjach.
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Typed System One decisions, ranking, verification, and an opt-in Hermes tool gate using TypeSafe Jev.
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Chrome extension that labels every post you scroll past on X with typed Jev judgments and a live cost counter.
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