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.
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AI-assisted summaries and translations. Check original sources for context and performance claims.
Jev reviews pull requests with 14 automated checks, detecting issues like hardcoded secrets and SQL patterns.
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Jev plays Subway Surfers at superhuman speed and handles 50 games simultaneously for under a cent.
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A community post describing a game where Jev routes trains to stations in real time without a solver.
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Voice command integration for the Autumn billing dashboard to streamline tasks.
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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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A community post introducing Jev board, a tool for ambient intelligence interfaces using fast, reliable models.
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A tool that analyzes Tetris board positions and selects optimal placements in under half a second.
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A community post about using Jev to efficiently crawl job listings from company websites, significantly reducing time compared to an LLM.
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A community post suggests Jev accelerates computer use, claiming 100x faster processing than standard LLMs.
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A community post describing a robot arm controlled by Jev, using cameras and decision-making at two decisions per second.
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Jev differs from LLMs by evaluating predefined decisions directly, enabling parallel processing of independent questions.
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A tool that interprets spreadsheet intent rather than just recalculating numbers, providing rapid contextual analysis.
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A task using Jev to score 3,000 kids' snacks with multiple criteria in 28 seconds.
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A developer project for the agents shelf featuring a local MCP gateway with Jev tool discovery and a dashboard.
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A self-hosted skills library with optional Jev recommendations.
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A community project for training a Jev-like architecture using a reverse-engineered model.
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A developer project providing a local MCP server for running pre-made Jev question packs.
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A calibrated context sieve for Claude Code: every tool result is judged by a System One model before it enters context.
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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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A playful tool using Jev to provide random answers to questions.
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A YouTube guide explores using Jev within an agentic coding loop, focusing on cost efficiency for development tasks.

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A command-line interface for Jev that provides answers and exit codes based on input questions.
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Agentcard integrates Jev and Kernel to enable secure and efficient online shopping by agents, avoiding token costs and safety issues.
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A curated list of Jev use cases, projects, SDKs, and resources. Jev is TypeSafe AI's System One model for fast, typed decisions in software — Choice, Score, and Noul with calibrated probabilities.
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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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Real-time Discord moderation bot: Jev evaluates messages and metadata in parallel to catch phishing, spam, and social engineering with a progressive escalation ladder.
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An unofficial Laravel package offering typed responses and test fakes for Jev integration.
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A system tested on 1,500 emails for classification effectiveness. Demonstrates potential for automated email management.
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Jev achieved 100% task success on the WebMCP benchmark with significantly lower model costs compared to other systems, using a combination of tool selection and argument generation.
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An experimental local-first plugin for coding agents that uses Jev to provide quality feedback during development.
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A developer project for agent classification and selective reading using an agent plugin and MCP tool.
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A system that generates text one character at a time using Jev, employing a classifier in an autoregressive loop.
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A community post describing an SEO audit using Jev to analyze website internal links in 45 seconds.
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Jev generates piano music by selecting notes and chords based on input sequences.
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Jev tests shooting skills in the arcade game Time Crisis, with a harness to assist performance.
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A chat bot using Jev without a large language model, providing instant responses by integrating web search, Wikipedia, weather, and other tools.
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A tool that provides quick actions based on clipboard content, specifically for macOS.
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Testing Jev as a search reranker shows limited improvement over vector retrieval, with mixed results depending on evaluation methods.
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An agent system that makes one Jev decision per computational step.
JEVLAB ARTSource-linked curation
A community project enabling hands-free web navigation by having Jev handle browser actions while Claude manages conversation.
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公式TypeScript AI SDK(ai / ai-sdk)の型安全なElixirポート。一貫したLLM統合、ストリーミングテキスト、構造化出力、ツール呼び出し、エージェントワークフローを提供。Jevは現在のフラッグシップモデルで、最初のSystem Oneモデル。
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A community post detailing a dashboard that classifies X posts across eight dimensions using Jev for content research.
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A tool that analyzes public PR links to determine if they are safe to merge or need review, using Jev's capabilities.
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A tool that uses Jev to detect AI-generated content on websites by analyzing specific indicators.
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Explains Jev's role in automating decision-making processes and enabling new business models through efficient task sorting and classification.
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A fire evacuation simulation where each person makes Jev-style decisions.
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Jev selects legal moves in a game of chess, compared to reasoning models.
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A community tool utilizing Jev to filter out unwanted reply-guy comments on platforms.
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Jev automates browser tasks by selecting actions from a dynamic action space.
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Awesome Jev: source-backed open-source ecosystem radar, plain-language project discovery, and automatic GitHub sync.
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A staged code-review workflow and local dashboard built with TypeSafe Jev.
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A community post demonstrating Jev's ability to score 700 leads and predict outreach message performance in 40 seconds.
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A claim about Jev's capability to process large volumes of ad data quickly, described as a market disruption.
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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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A plugin integrates Jev with a browser in Cline, enabling it to perform web-based tasks through a desktop application.
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A podcast segment discussing Jevons paradox and its connection to TypeSafe AI's funding.

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5–10x faster browser operations: Jev clicks, Codex thinks and verifies. Built at EZCollegeApp.
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Jev enables flexible, type-safe classification as a fundamental programming primitive.
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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 community post describing an offline decision system using Jev to evaluate research branches efficiently.
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A system using Jev to interact with computer interfaces without screenshots, relying on local CoreML models and OCR.
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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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Jev analyzes 724 live ads from 37 brands in 40 seconds, breaking down their elements and formats.
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Jev processes 1,000 emails for category, priority, spam, and reply predictions.

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ステップあたり約0.0002ドルでコンピュータを使用: スクリーンをOCRし、TypeSafeで次のアクションを分類し、クリックします。macOS対応。
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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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Using Jev for real-time control of a robot arm in MuJoCo, with a two-step decision process for actions and movements.
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Open-source library converting Hugging Face models into Jev-style endpoints for broader accessibility.
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An image classifier using OCR and Jev processes 900 images in 40 seconds.
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A community post demonstrating Jev playing Flappy Apex, achieving a high score autonomously through Appduct and Fable.
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Moved hard-coded rules to Jev for faster AI processing and reduced costs in projects like aiseotracker and linkdr.
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A community experiment using Jev as a plugin in Claude to reduce unnecessary tool calls, cutting token count from 1M to 86K.
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