Jevのリリース投稿
ドイゴ・アレイダがJevを紹介し、TypeSafeの構造化された意思決定モデルを説明します。リリース映像を視聴し、オリジナルスレッドでモデルのアプローチ、例、および著者によるパフォーマンスを確認してください。
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Recent activityドイゴ・アレイダがJevを紹介し、TypeSafeの構造化された意思決定モデルを説明します。リリース映像を視聴し、オリジナルスレッドでモデルのアプローチ、例、および著者によるパフォーマンスを確認してください。
TypeSafeの公式リリース発表では、ラボの紹介とビルダー向けのJevへの指向が含まれています。ドイゴ・アレイダのリリース映像とオリジナルの紹介が含まれます。
TypeSafeはJevの公開アクセスを発表し、待機リストなしで利用可能にしています。公式コンソールは、独自のアプリケーションで型付き意思決定を試すための出発点です。
TypeSafeはJevの型付き出力アプローチを強調しています。アプリケーションは状態と質問を提供し、確率、選択肢、スコアに基づいて動作します。リンクされた発表では、Venice APIの統合も紹介されています。
Start with the Launch Post. Explore four official signals.
1,198 件の資料
AI-assisted summaries and translations. Check original sources for context and performance claims.
Framework for running end-to-end tests with agents using Jev.
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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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A PostgreSQL extension enabling natural language queries across databases.
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A CLI and GitHub Action that assesses code-change risk using deterministic rules and TypeSafe Jev, recommending checks and reviewers before merge.
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Jev reviews pull requests with 14 automated checks, detecting issues like hardcoded secrets and SQL patterns.
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Pi extension suite powered by Jev: selective context compaction and model routing.
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A moderation system for Mastra agents that processes inputs in a single file.
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A community post describing a system that matches one candidate to 400 companies with a confidence score in 12 seconds.
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A community post about a virtual town where Jev makes all decisions, managing 120 people and various local structures.
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Local Instagram, TikTok, and LinkedIn research where Jev chooses bounded socai browser operations and streams captured evidence into cited reports.
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Agent tool/MCP call gate — allow / ask_human / deny via TypeSafe Jev.
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Trading bot with the all new TypeSafe AI's first system one model named as Jev.
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Independent, evidence-based map of when TypeSafe's Jev actually holds up vs. breaks down — real API-call receipts, not a leaderboard. 中文為主的雙語 repo。
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An idiomatic Zig client for the TypeSafe AI API.
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Jev AI performs quality checks on action labels for physical AI training data at high speed.
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Codex plugin: verbatim Jev-guided context restoration around session compaction. Port of tamaratran/fast-jev-compaction to Codex lifecycle hooks.
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Open replica of TypeSafe's Jev: typed calibrated decisions in one forward pass, on Gemma 4 E2B / Gemma 3 270M (Modal).
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An experiment to enable Jev to perform dogfighting, with ongoing improvements.
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A 26-sheet construction plan set was classified in 2.9 seconds using Jev with an LLM pipeline, costing $0.0052 and matching GPT-4.1 and GPT-6 Astra performance.
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High-throughput synthetic & pretraining dataset sifter powered by TypeSafe AI Jev (api.typesafe.ai). Stream, filter, and score Parquet & JSONL datasets at 1,500+ rows/sec using System One typed decisions (Choice, Score, Noul).
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A 30-minute internal session on Jev attended by over 50 engineers, generating more than 50 product ideas.
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A word-level language model whose output layer is Jev: n-gram drafter, Noul chunk verification, bits-per-token eval.
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Claude Code、Codex、および互換性のあるエージェント向けの公式エージェントスキル:プリミティブ、パターン、評価の構造。
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A resource discussing a new model type that outperforms LLMs in specific areas, collected for the tools shelf.

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Jev labels category, urgency, and human-versus-auto handling for support tickets.
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A community project showcasing Jev's potential through a competitive snake game where two Jev instances battle for victory.
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Guía del creador Fazt sobre el uso de Jev para decisiones tipadas, con una introducción y ejemplos de aplicaciones.
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Typed, policy-driven decision workflows on top of TypeSafe AI Jev: confidence routing, fallbacks, evaluation, and RAG patterns for TypeScript apps.
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Screen a folder of CVs with the TypeSafe Jev decision model: typed judgments, an editable policy, free re-scoring.
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Jev functions as an AI-native decision-making system, defining possible outcomes and selecting from them.
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Directory listing systems using Jev for Noul, Score, and Choice questions.
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Guardrails for LLM apps in one API call. Prompt injection, jailbreaks, leaks, unsafe content. Built on TypeSafe Jev. MIT.
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Pure Jev that can "type" and drive towards task completion.
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Browser extension that classifies an article's framing, type, topic, and loaded language with Jev.
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Jevと統合されたSuperXは、ポストスコアリングを高速化し、1秒未満で61の質問を分析し、高いウイルス性の予測精度を実現。
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A system that quickly captures user interface flows on demand, enabled by Jev's fast processing capabilities.
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Minimal grammY Telegram anti-spam bot powered by TypeSafe Jev.
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Turn your AGENTS.md preferences into a fast, Jev-powered AI linter.
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Agent automates second-hand product search and decision-making. Processes 26 listings per minute with fast evaluation times.
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Match user goals to MCP catalog (two-stage) via TypeSafe Jev.
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A community post about using an agent for autonomous Pokémon shiny hunting with automated resets and checks.
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MacOS computer use driven by Jev (TypeSafe System One) as the decision maker.
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A challenge where 100 builders used Jev and Fable 5.1 to create a post scheduler, highlighting Jev's speed.
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Official TypeSafe reference: Skill suggestion.
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A Chrome extension that organizes bookmarks using user-defined rules for categorization.
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An observable raw-character chat experiment powered entirely by TypeSafe Jev Choice.
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An AI-driven hedge fund utilizing Jev for fast and cost-effective trading decisions.
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An optimized inference engine to turn LLMs into Jev-like machines: optimized for quick, lightweight, and accurate decision-making, classification, and scoring.
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Bounded TypeSafe Jev workflows for coding agents.
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Using Typesafe.AI to generate diff reviews.
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Shadcn-style reusable components and blocks for using TypeSafe AI.
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Open-source AI email triage for Gmail. Sorts your inbox into Needs reply, Updates, Promos, Sales and Spam with Jev, TypeSafe AI's decision model, via Vercel AI Gateway. Read-only, runs locally, 1,000 emails in about a minute for 3 cents.
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A demonstration of Jev's capability to quickly categorize a large volume of Hacker News posts.
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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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Official TypeSafe reference: Score.
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A developer project using Jev to score sales calls, collected for the creative shelf.
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A tested resource evaluating Jev's capabilities in browser automation and support tasks.

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Reduces context usage by 30-55% through Jev-based compaction for OMP agents.
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A community post describing 500 real-time agents operating in a 3D environment with notable performance metrics.
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Compare GPT generated language with JEV structured Noul decisions on the same input.
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Chess moves, evaluations, persona opponents, and game classification with TypeSafe AI System One.
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Independent walkthrough separating TypeSafe's published claims from public evidence.
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Chess where both players are TypeSafe's Jev model: every move is a typed Choice decision.
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Official TypeSafe reference: Usage.
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A collection of notable Jev projects shared on X, highlighting various applications and experiments.
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Uses Jev to play Pokémon Showdown with mixed results, demonstrating its decision-making capabilities in a game context.
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Non-autoregressive decision engine on ModernBERT (151M) with calibrated uncertainty (RLCD), TypeSafe AI Jev benchmark audit, and in-browser WebGPU playground.
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Claude Code plugin that scores how well you prompt a coding agent, and shows whether your habits are improving. Runs on TypeSafe's Jev model. Zero added latency.
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A guide explaining Jev's approach to making typed decisions rather than processing text.
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Jev controls an Astra planner playing Minecraft in a developer project.
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A guide exploring Jev's architecture through 10,000 API calls.
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Jev offers versatile use cases, with a community post suggesting potential for rapid SaaS growth.
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