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.
A YouTube guide explores using Jev within an agentic coding loop, focusing on cost efficiency for development tasks.

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A local Jev model for processing tasks with potential for improved speed.
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Agent skill: design judgment-assisted systems with TypeSafe Jev (System One). Maps Choice/Score/Noul onto decision theory, reranking, and routing. Composition algebra, question design, validation gates. MIT.
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Marketing analytics platform whose feature flag routes brand-visibility classifiers off an LLM and onto Jev boolean decisions.
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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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Jev AI performs quality checks on action labels for physical AI training data at high speed.
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Jev plays Connect Four on OmarchyLinux, demonstrating real-time decision loops with structured state.
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A moderation system for Mastra agents that processes inputs in a single file.
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A tool that finds local makers using Jev, claiming high accuracy.
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A community post presents a codebase complexity classifier using Jev, aiming to address overengineered code.
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A project where Jev attempts to defeat the Pokémon League in Pokémon Gold, using basic controls to navigate and win.
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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 tool that improves end-to-end testing efficiency, completing tasks faster and cheaper than other models.
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A tool that identifies App Store keywords by analyzing competitors and using Jev to filter relevant terms.
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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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Typesafe's jev as a "fuzzy linter". give your code an ocular patdown.
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Jev autonomously controls multiple characters in a video game with rapid decision-making.
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Integration of Jev into a game for fast and cost-effective performance.
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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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Jev assists a Mac app by selecting relevant support articles from built-in documentation.
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A TypeSafe/Jev agent that plays Super Mario Bros. from structured emulator state.
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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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Single-agent Pi coding coprocessor with Jev semantic gates, baseline-to-current diff review, and append-only observability telemetry.
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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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Fast Rust CLI for TypeSafe Jev: typed decisions, offline linting before you pay.
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Using Typesafe.AI to generate diff reviews.
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Measures how well TypeSafe's RLCD-Jev model spots real secret credentials in file snippets.
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Testing Jev's performance in automating Android end-to-end tests, showing faster results compared to other tools.
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An experiment using Jev to transform simple English into elaborate prose in real-time during writing.
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Typed judgment layer for coding agents — gates from PRD to ship. Jev-ready, provider-agnostic.
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A Jev powered LinkedIn recruiting agent. Watch it browse relevant profiles, save links, and review evidence against your hiring brief.
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A method for expressing emotions through sound-based communication.
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Jev picks rotation and column from holes, stack height, and bumpiness.
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A browser form for building requests to TypeSafe's Jev: pick a template, fill in the blanks, copy the request. No JSON, no install, runs locally.
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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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Blind security benchmarks for Jev, TypeSafe's System One model: prompt injection and vulnerable code detection, built on jev-go.
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An integration with jev by typesafe.ai in Rust.
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Cost-aware LLM router that picks the cheapest model capable of handling a query, using TypeSafe's Jev for fast classification instead of an LLM call.
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A developer project using Jev to play Pokémon Red by typing each turn.
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A MakerMods robot arm is demonstrated within the MuJoCo simulation environment, showing interaction through JSON state inputs and action selections.
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Official TypeSafe reference: Example use cases.
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Hugging Face Space exploring open-source parallel constrained decoding as an alternative to Jev.
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A system enabling rapid agent deployment on digital canvases without relying on slow LLM processes.
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A GitHub Action using Jev for automated PR triage and classification.
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Systematic software development framework for AI coding agents upgraded with TypeSafe Jev System One typed decisions.
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Interactive experiments from support routing to a 3D driving simulation: structured sensor state in, typed steer, brake, and overtake decisions out.
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Hand the browser work off: an MCP server where a decision model drives the page for your agent, so a flow costs one tool call instead of a turn per click. Ref-based element tables, code-checked assertions, zero-model macro replay. Speaks CDP to your Chrome.
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Home Assistant Assist conversation agent powered by TypeSafe's Jev (System One) model.
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Cut Claude Code's skill manifest by ~75% with TypeSafe Jev. Scores every installed skill for relevance and hides the rest via skillOverrides — 12,750 → 3,185 tokens on a 217-skill install, for $0.0009 a session.
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Jev play Tetris in real-time against other AI models.
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Official TypeSafe reference: API reference.
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A developer project for the agents shelf, using MCP tool for Codex instead of listing all options.
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Position paper: the Hidden-Markov and fuzzy primitives missing from TypeSafe AI's Jev and System-One decision models. Two lemmas, one principle (Deferred Crispification), one architecture (BSF-S1).
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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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Release-week technical roundup: API, evals, adapter, and skill.
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Shady Town: social-deduction party game for the living room TV, moderated by TypeSafe Jev.
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A tool controlling Ableton Live with concise commands, leveraging Jev's decision-making capabilities.
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Eight minimal working examples of TypeSafe's Jev (a System One model) applied to mechanical and electrical engineering: CAD/CAE/CAM routing, FEM result triage, DFM screening, BOM alignment, hallucination-proof extraction. Zero dependencies.
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Jev is used to identify and flag low-quality text generated by Opus.
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DuckDB extension that classifies rows in CSV, Parquet, or DuckDB tables with Jev, about 10 seconds per 1,000 rows.
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Job Risk Analyzer: CLI and REST API that uses Jev to score an occupation's exposure to AI-driven layoffs and its resilience.
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A guide on using Jev to route between models and block risky tool calls.
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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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An experiment using Jev to interpret voice commands and trigger tool actions before the user finishes speaking.
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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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Orus uses Jev to review and approve trade strategies before execution, enhancing decision-making with structured answers.
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Practical, tested recipes for TypeSafe's Jev decision model on OpenRouter: support triage, database indexing, file organizing, tagging, taxonomies, dedupe, PII detection, extraction, search re-ranking and a browser agent.
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Compact version of Jev that generates full probability distributions in a single forward pass.
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Jev (TypeSafe AI) PoC through Game of Thrones.
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Codebase search powered by Jev from @typesafe-ai.
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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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