Jev发布帖
Diogo Almeida介绍了Jev,即TypeSafe的结构化决策模型。观看发布影片,并探索原始帖子了解该模型的方法、示例和作者报告的性能。
Diogo Almeida介绍了Jev,即TypeSafe的结构化决策模型。观看发布影片,并探索原始帖子了解该模型的方法、示例和作者报告的性能。
TypeSafe的正式发布公告介绍了实验室,并引导开发者使用Jev。公告包含Diogo Almeida的发布影片和原始介绍。
TypeSafe宣布Jev向公众开放,无需等待列表。官方控制台是将类型化决策应用于自己应用程序的起点。
TypeSafe强调Jev的类型化输出方法:应用程序提供状态和问题,然后根据概率、选择或评分进行操作。相关公告还介绍了Venice API集成。
Start with the Launch Post. Explore four official signals.
1,198 项资源
AI-assisted summaries and translations. Check original sources for context and performance claims.
A curated list of public projects, integrations, and discussions built on Jev — TypeSafe AI's System One model for typed decisions.
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Jev demonstrated over 5x faster performance than other models in testing.
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A guide explaining Jev's approach to making typed decisions rather than processing text.
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A resource explaining Jev Engineering methodology for AI agent development.
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官方可替换TypeSafeClient的Python适配器,支持OpenAI、Anthropic和兼容LLM API,用于比较Jev与聊天模型。
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Ephraim Duncan's demo where Jev decides which model should serve a request.
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Jev controls a city's traffic in a simulation project.
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Jev-browser enables agents to perform web tasks by automatically opening websites and making click decisions based on screen content.
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A Chrome extension enabling agents to browse and interact with websites, utilizing Jev for decision-making.
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Jev classifies emails for fraud detection, with uncertain cases handled by Kimi K3 for high accuracy.
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Typesafe's jev as a "fuzzy linter". give your code an ocular patdown.
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A fire evacuation simulation where each person makes Jev-style decisions.
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A macOS tool for identifying safe ports to stop, developed as a GitHub project.
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Jev differs from LLMs by evaluating predefined decisions directly, enabling parallel processing of independent questions.
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TypeSafe的正式发布公告介绍了实验室,并引导开发者使用Jev。公告包含Diogo Almeida的发布影片和原始介绍。
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Vercel's open agent framework, which ships Jev as the default evaluation model in its experimental evaluate path.
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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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An open-source project that helps select relevant Claude Code skills by prioritizing frequently used ones through Jev integration.
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A GitHub project converting agent skills into Oxlint plugins that involve Jev.
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A community post suggesting Jev can be hired as a QA tester through @typesafeai.
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A Jev-powered system that analyzes PDFs page by page to determine which require OCR processing.
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A real-time computer assistant using Jev and local Whisper to process voice input, classify actions, and interact with the screen through a Swift app for accessibility.
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A community post describes a plugin that manages agent context by analyzing and pruning unnecessary data, available in Spanish.
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A smart calculator notebook capable of performing various calculations using Jev's processing power.
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Local tactics shrink 225 moves to about 40 candidates, then Jev picks among tiered options.
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Not every coding task needs your best model. Experimental Jev-powered model routing for Claude Code — V3 prototype runs today, V4 routes at the task boundary.
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Brood War in WASM exposed as an MCP server, with Jev playing and still losing to a Zerg rush.
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Interactive TypeScript coding CLI with typed routing, decision programs, and validated formal trees driven by Jev.
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Jev selects legal moves in a game of chess, compared to reasoning models.
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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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Independent walkthrough separating TypeSafe's published claims from public evidence.
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JEV-inspired parallel decisions for CUDA LLMs. One context, many decisions. vLLM API, game-agent examples, and reproducible benchmarks.
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Prompt-injection and dangerous-action guard for coding agents (Claude Code, Codex, pi, ACP), powered by Jev.
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CLI and agent skill for TypeSafe System One (Jev): typed Choice, Score, and Noul judgments.
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A guide-directed World of Warcraft agent designed to reduce expenses as it runs longer, developed on GitHub.
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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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INSTRUCT_JEV - TypeSafe AI Jev / System One instruction corpus (choice/noul/score), compiled by DeckerGUI. 119 rows. Mirrored on HuggingFace.
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Unofficial Go SDK for TypeSafe AI's Jev API.
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Open-source library converting Hugging Face models into Jev-style endpoints for broader accessibility.
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A supervised Mint client for the TypeSafe AI System One API.
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A small, type-safe client for asking AI questions about your data, powered by TypeSafe Jev.
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A 3D planetary rover sandbox for experimenting with autonomous decisions using TypeSafe AI.
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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 community post describing Jev's use for analyzing competitors' ads and generating creative shortlists.
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Jev is integrated into tools like Noul and Score for MCP applications.
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Typesafe/Jev public X demo.
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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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A log analysis tool that groups 22.8M lines into patterns and uses Jev to review key patterns.
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A report detailing all public Jev builds in the first week, including cost, time, and repository metadata for research use.
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Jev (TypeSafe) vs. Gemini 3.8 Flash vs. GPT-5.6 Luna na anotação estruturada de sentenças do TJSP: qualidade, tempo e custo.
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Jev (TypeSafe System One) backed auto mode for the Pi coding agent: semantically auto-approves bash, write, and edit tool calls and fails closed when a decision cannot be made.
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Unofficial go SDK for typesafe AI, with typed answers, retries, and context support.
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Grok skill: Jev as a judgment sensor in a builder-agent loop (priors × probabilities → next act).
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A stock evaluation tool using Jev for fast market analysis.
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A setup using Jev and GrokBot to route AI agent tasks efficiently, reducing costs and execution time with a seven-step configuration process.
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Jev versus a hand-built regex on 544 public data-protection resolutions: 98.2% agreement for about five cents.
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An AI-driven hedge fund utilizing Jev for fast and cost-effective trading decisions.
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Rust SDK for the TypeSafe AI API.
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Ask your Postgres tables questions in plain language. A PostgreSQL extension powered by TypeSafe's Jev.
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Play ten browser games from the screen with a 0.8B open model that returns a probability over the game's legal moves in one forward pass, no text generated.
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Proof of concept MCP for Typesafe's new Jev AI model.
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A community project using Jev to customize Hacker News content preferences.
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官方TypeScript/JavaScript客户端,支持推断答案类型。npm install @typesafe-ai/sdk。
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A project classifying 1,018 AI research papers using Jev, achieving low cost and fast processing for organizing academic work.
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A predictive app launcher using Jev to interpret user intent and enhance app discovery.
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askjev.ai. A community post describing a platform where users can ask questions to Jev, which provides judgments rather than direct answers.
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Open-source native computer use for macOS and Windows: TypeSafe Jev, local OCR, and selective planning.
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3D chess powered by TypeSafe AI (Jev). AI vs AI by default, or play either side. Multiple difficulty levels.
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Privacy-first Chrome extension that semantically blocks native ads, sponsored feed cards, and video ads using TypeSafe Jev.
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A console project where Jev dynamically selects the design system at runtime for tools and apps.
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A PostgreSQL extension enabling natural language queries across databases.
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Ongoing Japanese research deck on Jev and System One models, maintained as Markdown slides.
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