Bài đăng ra mắt Jev
Diogo Almeida giới thiệu Jev, mô hình ra quyết định có cấu trúc của TypeSafe. Xem bộ phim giới thiệu và khám phá chuỗi gốc để tìm hiểu cách tiếp cận, ví dụ và hiệu năng được báo cáo bởi tác giả.
A FIELD GUIDE TO JEV / VOL. 01
Tinh hoa Jev: dự án thực tế, hướng dẫn hữu ích và ý tưởng từ khắp internet.
Diogo Almeida giới thiệu Jev, mô hình ra quyết định có cấu trúc của TypeSafe. Xem bộ phim giới thiệu và khám phá chuỗi gốc để tìm hiểu cách tiếp cận, ví dụ và hiệu năng được báo cáo bởi tác giả.
Thông báo chính thức ra mắt TypeSafe giới thiệu phòng thí nghiệm và hướng người phát triển đến Jev. Bao gồm bộ phim giới thiệu của Diogo Almeida và lời giới thiệu ban đầu.
TypeSafe thông báo truy cập công khai vào Jev mà không cần danh sách chờ. Bảng điều khiển chính thức là điểm bắt đầu để thử nghiệm các quyết định có kiểu trong ứng dụng của bạn.
TypeSafe nhấn mạnh cách tiếp cận đầu ra có kiểu của Jev: các ứng dụng cung cấp trạng thái và câu hỏi, sau đó thực hiện hành động dựa trên xác suất, lựa chọn hoặc điểm số. Thông báo liên quan cũng đề cập đến tích hợp API Venice.
Start with the Launch Post. Explore four official signals.
1.198 tài nguyên
AI-assisted summaries and translations. Check original sources for context and performance claims.
A developer project providing a local MCP server for running pre-made Jev question packs.
JEVLAB ARTSource-linked curation
Visual-Jev is a GitHub research project that makes decisions based on images rather than text descriptions of visual content.
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CV diagnostics and job alignment with TypeSafe Jev, React and FastAPI.
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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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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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Official TypeSafe reference: Advanced: structure.
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Write Cucumber tests with just the .feature file. No step definitions — Jev (TypeSafe AI) resolves each Gherkin step and Playwright runs it.
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One AI trade decision every Monad block. Jev on Kuru MON-USDC.
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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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Know before you click. A Chrome extension that reads articles and YouTube videos ahead of you and says read, skim, save, or skip — with a confidence, tuned to your goals. Open source, MV3, powered by Jev.
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Kỹ năng đại diện chính thức cho Claude Code, Codex và các đại diện tương thích: các nguyên mẫu, mẫu và cách cấu trúc đánh giá.
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A tool using Jev to make copy-paste interactions smarter by deciding content based on context.
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Official TypeSafe reference: Line-by-line search.
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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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MCP server that puts TypeSafe Jev on the coding loop in Cursor, Codex, and any MCP client.
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A tool developed using Jev to create a voice builder for Youform, noted for its speed.
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A community post testing Jev's performance in a browser environment, noting limitations after five actions.
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A deterministic model routing system for coding agents with a skill for Codex.
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A chatbot project that responds to typed questions, part of a research collection.
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Pull request adding Jev to station-suggestion reranking in the TrainLCD transit app.
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Unofficial study: Jev-style parallel typed decisions on stock 1.5B-8B models on an Apple Silicon laptop. Benchmarks, research notes, and a Hugging Face Space demo.
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A developer project offering a Chrome extension to blur low-value LinkedIn posts, collected for the creative shelf.
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Official TypeSafe reference: Composite scoring.
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Jev is presented as a language generation tool in a community post, challenging perceptions about its capabilities.
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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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Search the web with TypeSafe's Jev: source selection, query understanding and relevance ranking. Built with Search1API.
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Minimal grammY Telegram anti-spam bot powered by TypeSafe Jev.
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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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Automatic model routing for Pi using TypeSafe's Jev through Vercel AI Gateway.
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AskJev — Jev autopilot for any website + guard on irreversible clicks (TypeSafe System One, not Claude).
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Experiments with openjev, an open Jev-style option-logit runner, on local models.
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Typesafe's jev as a "fuzzy linter". give your code an ocular patdown.
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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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An open-source project aiming to develop a Jev-class decision model for research purposes.
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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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Chrome dino game played by Typesafe AI Jev model.
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Pick the best AI model and reasoning effort for any task in ~1s. Plugin for Claude Code, Claude Desktop and Codex, powered by TypeSafe's Jev decision model and live OpenRouter pricing. Balance intelligence, speed and cost, or choose your priority.
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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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Local bilingual probability decisions from context, questions, and candidate answers. Independent research preview inspired by TypeSafe Jev.
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Official TypeSafe reference: Self-consistency: nouls.
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An article explains Jev's capabilities and highlights various projects built with it.
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A browser-native Doom agent experiment with structured spatial state, composable AI controls, live decision telemetry, and a Chocolate Doom WebAssembly runtime.
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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 Stop hook that stops your coding agent from stopping too early. Plain-language rules, judged by jev.
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Browser-only playground for Jev (TypeSafe AI's decision model) via Vercel AI Gateway.
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A community post explaining Jev's role in improving agent efficiency and cost-effectiveness.
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Trading bot with the all new TypeSafe AI's first system one model named as 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 chatbot from typed Jev decisions: hierarchical speculative decoding over System One probabilities.
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English full-duplex voice control for macOS with OpenAI Realtime, native Accessibility, and Jev.
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A tool that interprets spreadsheet intent rather than just recalculating numbers, providing rapid contextual analysis.
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Official TypeSafe reference: Knowledge graph entity alignment.
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Technical SEO audit cost study from Boring Tools Kit where Jev ranks striking-distance fixes and content gaps by calibrated probability.
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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 experiment demonstrating Jev's interaction with a video game.
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Open-source Chrome extension that filters AI-generated prose and ads with Jev.
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📡 全网最全 · The world's most comprehensive tracker of the Jev (TypeSafe AI System One) ecosystem — 220+ documented cases · 108 confidence-graded entries · verified & rescanned every 3 hours · API access guide included.
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Free, no-signup Noul demo. Ask a question, get yes, no, or maybe, with web search when needed.
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A prose linter that sniffs out AI writing tells. Zero dependencies, countable rules plus one judgment model.
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A YouTube guide discussing Jev's functionality, pricing, and performance comparisons with Astra, including benchmarking and parallel decision analysis.

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Filter command output for coding agents using a task description.
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Never confidently wrong: a TLA+-verified consensus kernel around TypeSafe's Jev, run through 1,680 chaos-tested pharmacy decisions with zero wrong verdicts. Film, code, and every captured call.
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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 system tested on 1,500 emails for classification effectiveness. Demonstrates potential for automated email management.
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Playable board games driven by Jev decisions.
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A community post details a Pac-Man game where every move is determined by Jev, offering strategic insights.
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Community Java client for the TypeSafe System One API (unofficial).
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System-architecture skill for TypeSafe AI Jev/System One — find fuzzy semantic judgment and turn it into small Choice/Score/Noul primitives.
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A community reference describing real-time generation of game levels for game development.
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Python prototype that plays NES Super Mario Bros. from structured RAM observations, with Jev answering focused movement and jump questions.
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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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MoonBit client for Jev plus a Jev-vs-Jev gomoku match, with timing logs.
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