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.
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Recent activityA 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.
Observe the accessibility tree, Jev chooses the next action, Stagehand executes.
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An always-on assistant built with Jev that operates without a wake word, using probability to distinguish user intent.
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A developer project generating paintings based on Jev's pixel probability calculations, collected for the tools shelf.
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A prototype that classifies symptoms and updates diagnoses using medical ontologies during live clinical consultations.
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Jev powers a predictive launcher that anticipates user intent based on typing patterns.
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A Chrome extension that organizes bookmarks using user-defined rules for categorization.
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A method for expressing emotions through sound-based communication.
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Proof of concept MCP for Typesafe's new Jev AI model.
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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 podcast segment discussing Jevons paradox and its connection to TypeSafe AI's funding.

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Robot hai tay được điều khiển bởi Jev để ra quyết định, với động học ngược và vật lý được xử lý bởi mã để vận hành hiệu quả.
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Sort by meaning: order lines along a plain-English dimension, from pairwise comparisons judged by TypeSafe's Jev model.
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A developer project featuring a small Jev-like model running on a MacBook, collected for the tools shelf.
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A Rubik's Cube that uses Jev AI to solve itself using a human-like method rather than optimal algorithms.
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Low-latency audio censorship POC using Jev typed decisions and ffmpeg.
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2D autonomous car simulation in the browser, driven by TypeSafe's Jev decision model.
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Jev-powered model routing, memory, compaction, skill selection, computer and browser use for Hermes agents (also Claude Code and Codex).
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A pi extension that exposes TypeSafe (Jev, System One) judgments as five pi tools, so a model can make narrow semantic judgments while your code and your users keep control of thresholds, weights, and actions.
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An agent project aimed at reducing token usage for coding agents via an MCP server.
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A community post describes using Jev with an LLM to play Doom, exploring multiple future outcomes.
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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 staged code-review workflow and local dashboard built with TypeSafe 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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A community post explaining Jev as an AI for decision-making, faster and cheaper than frontier LLMs.
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A collection of research papers and open reproductions supporting System One models.
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Jev-style parallel constrained decisions for any MLX model on Apple Silicon. Typed, schema-valid JSON in one forward pass.
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This is a LLM Gateway that mimics typesafe ai structured output. Like an imposter Jev.
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Proposal for custom Jev-style models to optimize agent workflows. Could reduce computational costs in decision-making processes.
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Pre-commit hook: one Jev call judges whether your commit message matches the staged diff, plus debug leftovers, unmentioned work, and a credential check.
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See what Jev thinks about your SaaS website — powered by ReplyNodes web context and Vercel AI Gateway.
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Rust port of TypeSafe system-one-adapter (LLM-backed system_one evaluations).
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Semantic GitHub PR labels using Jev's typed decisions, with conceptual scope instead of line counts.
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An integration with jev by typesafe.ai in Rust.
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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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Jev labels category, urgency, and human-versus-auto handling for support tickets.
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Dev.to walkthrough of the Vercel AI SDK evaluate integration.
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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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Official TypeSafe reference: Demos.
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A small agent using Jev compaction to manage searchable memory efficiently.
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Independent Jev 1.13.0 behavior study: report, controlled prompt experiments, raw results, and offline verification.
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Test a post against 10,000 synthetic personas before you publish it.
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An agent using headless Chromium to quickly navigate the web, demonstrated by browsing Wikipedia links efficiently.
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The invalidation layer for AI memory. Every fact gets a lease; new evidence ends it. Built on TypeSafe Jev.
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Jevals is a local testing environment for evaluating Jev requests and improving results through primitive operations.
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Jev (TypeSafe) vs Claude Haiku 4.5 on 2 000 phishing emails: accuracy, calibration, latency, cost. Reproducible benchmark.
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Jev play Tetris in real-time against other AI models.
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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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Using Typesafe.AI to generate diff reviews.
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A voice-controlled interface for Figma utilizing Jev, demonstrating low-cost AI integration for design tools.
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A developer tool for decision runtime with zero-token caching and a calibrator, collected for the tools shelf.
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A process using Jev to filter and select assets, then generate ad creatives with DeepSeek and Higgsfield.
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A self-hosted drop-in replacement for TypeSafe's jev, powered by GliFormer.
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A creative project using Jev and other tools to generate digital art, specifically a painting of the Golden Gate Bridge.
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A command-line interface for Jev that provides answers and exit codes based on input questions.
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A resource detailing a test of Jev on 12 real-world scenarios, including speed, cost, and practical applications.

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Sub-second Git pre-commit & pre-push semantic reflex gate powered by TypeSafe AI Jev.
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Jev automates the filling of prompt boxes by selecting appropriate agents, models, or computers for specific tasks.
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Jev (TypeSafe System One) × ASReview SYNERGY abstract screening demo — Choice/Noul vs gold labels.
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A playground for TypeSafeAI's Jev Model.
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Bug-hunting crawlers built using Unix-style primitives, designed for automated system analysis.
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Technical notes on Jev's architecture, including parallel processing and probability output without text generation.
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Fast JEV compaction extension for pi.
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Blind security benchmarks for Jev, TypeSafe's System One model: prompt injection and vulnerable code detection, built on jev-go.
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A GitHub tool that requests Jev's approval before merging pull requests.
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A tool that uses Jev to convert pointing and speech into drawing actions on a canvas.
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A project comparing Jev's performance against chat models in analyzing Fed press conferences.
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Скилл для агентов Letta: суждения по критериям через TypeSafe System One (Jev).
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Typed System One layer for Rust (Choice/Score/Noul).
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Runtime constraints for the pi coding agent: checks every side-effecting tool call against what you said, before it runs. Powered by TypeSafe Jev.
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A skill for writing and improving programs that call Jev, TypeSafe's System One model.
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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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Reward-hack radar for coding agents: structural denies + TypeSafe Jev System One sidecar for Claude Code & Cursor hooks.
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