Jev 런치 포스트
Diogo Almeida가 TypeSafe의 구조화된 판단 모델 Jev를 소개합니다. 런치 영상과 원문 스레드에서 접근 방식, 활용 사례, 제작자가 발표한 성능을 확인하세요.
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최근 활동 집계A FIELD GUIDE TO JEV / VOL. 01
인터넷 곳곳의 Jev 프로젝트, 실용적인 가이드와 놀라운 아이디어를 한곳에서.
Diogo Almeida가 TypeSafe의 구조화된 판단 모델 Jev를 소개합니다. 런치 영상과 원문 스레드에서 접근 방식, 활용 사례, 제작자가 발표한 성능을 확인하세요.
TypeSafe가 스텔스 모드를 마치고 Jev를 공개했습니다. Diogo Almeida의 런치 영상과 소개 스레드로 이어지는 공식 발표입니다.
TypeSafe가 대기 목록 없는 Jev 공개 접근을 발표했습니다. 공식 콘솔에서 앱에 사용할 구조화된 판단을 시작할 수 있습니다.
TypeSafe가 Jev의 구조화된 출력을 소개합니다. 앱의 상태와 질문을 전달하면 확률·선택지·점수로 응답하며, 연결된 발표에서 Venice API 통합도 확인할 수 있습니다.
Launch Post부터 시작하세요. 공식 원문 4편을 살펴볼 수 있어요.
714 개 자료
요약·번역에 AI를 활용합니다. 원문과 성능 주장은 출처에서 확인하세요.
동기·비동기 호출을 지원하는 공식 Python 클라이언트입니다. typesafe-sdk 패키지로 설치합니다.
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Jev가 작업과 DOM 요소를 선택하고, 입력할 문장이 필요할 때만 작은 LLM이 텍스트를 작성하는 브라우저 에이전트입니다.
JEVLAB ARTSource-linked curation
도구 호출과 결과를 Jev로 평가해 오래된 문맥을 줄이고, 남길 정보는 원문으로 보존하는 Claude Code 플러그인입니다.
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Fast structured Android control loops with TypeSafe Jev and Mobile MCP.
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Public examples of Jev used for robot control, 3D modeling and adjacent control tasks, with sources and archived media.
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WXT browser extension: Jev-powered page clutter removal with reusable template rules.
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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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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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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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Evidence-backed index of real-world Jev (TypeSafe AI System One) use cases: repos, patterns, benchmarks, and measured results.
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Go CLI and single-binary MCP server exposing TypeSafe judgments to Claude Desktop, Claude Code, and Codex.
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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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Open alternative to Jev: typed, calibrated decisions from any open-weights LLM in one forward pass (HF + vLLM), with benchmarks.
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A small open decision model: state + typed questions -> calibrated probabilities. A Jev / System One re-creation on Qwen3.5.
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Claude Code plugin: trim long Bash output with TypeSafe Jev before the model sees it.
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Offline Obsidian search with optional Jev reranking of results, requiring user approval before reranking.
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Rust CLI powered by Jev from TypeSafe.ai that ranks agent skills for the next step using live session context. Includes Claude Code hooks, structured JSON, abstention, and local feedback. Requires a TypeSafe API key.
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Minimal grammY Telegram anti-spam bot powered by TypeSafe Jev.
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Context-pruning proxy for Claude Code and Codex: Jev judges which history is still needed, measured not claimed. POC here now, heading soon into https://github.com/compozy/compozy.
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One grounded Jev/Playwright core: typed SDK, persistent CLI, and MCP server with native browser operations and deterministic assertions.
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Runnable Jev examples through OpenRouter for immediate implementation.
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A collection of research papers and open reproductions supporting System One models.
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Daf-jev: composable Python toolkit for TypeSafe's Jev (System One) decision API — question builders, confidence gates, evaluator, calibration, CLI, MCP server, agent skill.
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Jev decision layer for agents: MCP server, embeddable DecisionModel library, and an escalate-only Claude Code plugin (TypeSafe AI's Jev).
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Game where Jev competes against LLMs in Pong.
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Fast Rust CLI for TypeSafe Jev: typed decisions, offline linting before you pay.
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Scans a codebase for covert, deceptive, or data-stealing behavior with Jev, then reports suspicious files and line ranges before the user runs it.
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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 small, extensible decision-to-action harness for TypeSafe Jev.
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A developer project offering semantic code search for coding agents, benchmarked on SWE-bench Lite.
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An agent project aimed at reducing token usage for coding agents via an MCP server.
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TypeSafe AI의 System One 모델인 Jev를 사용하여 구축된 프로젝트의 정리된, 소스 기반 목록입니다.
JEVLAB ARTSource-linked curation
오픈아이, 앤트로픽 및 호환 LLM API를 기반으로 한 공식적인 타입세이프 클라이언트 대체품으로, Jev와 대화 모델을 비교합니다.
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Can a System One model steer music? Jev picks the plan (enums only); code renders sheet, audio and MIDI.
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A Mac voice diary tool that uses Jev for sorting and integrates with Notion.
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A GitHub project that uses Jev to triage and route posts from the live Bluesky firehose with human oversight.
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Semantic GitHub PR labels using Jev's typed decisions, with conceptual scope instead of line counts.
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Curated list of official resources and community projects for TypeSafe, System One models, and Jev, with a GitHub Pages site.
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GitHub 코드 리뷰 도구로, 일반적인 영어로 작성된 규칙을 적용하여 코드 품질을 분석하고 개선합니다.
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Agent-ergonomic CLI for TypeSafe's Jev: fast calibrated judgments (pick, rate, check, rank, triage, guard) from the shell.
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Typesafe's jev as a "fuzzy linter". give your code an ocular patdown.
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Non-autoregressive decision engine on ModernBERT (151M) with calibrated uncertainty (RLCD), TypeSafe AI Jev benchmark audit, and in-browser WebGPU playground.
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A mahjong coach that uses Jev to suggest tiles to discard in Japanese.
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An agent project that enforces policies by judging Claude Code tool calls.
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A developer project offering 110 interactive use cases, games, and scenarios with editable prompts.
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Browser use for coding agents, 3-5x faster than browser-use. MCP server + CLI; TypeSafe Jev decides every step in ~300 ms.
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Pre-alpha PostgreSQL extension for TypeSafe AI (Jev) categorical classification.
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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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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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A developer project offering a Chrome extension to blur low-value LinkedIn posts, collected for the creative shelf.
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Jev-Tool-Runner is a GitHub project where Jev selects developer tools and Codex generates code based on those selections.
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A developer project for agent classification and selective reading using an agent plugin and MCP tool.
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Typed, confidence-aware agent skill routing with TypeSafe Jev.
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A developer project providing a local MCP server for running pre-made Jev question packs.
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Multi-axis writing quality checker powered by TypeSafe AI's Jev model. Separate named checks, each with its own verdict and confidence.
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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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Data extraction for systematic reviews, quoted from the papers. Ask a trial report and its supplements your extraction form or a RoB 2, ROBINS-I, QUADAS-2 or TIDieR template; Jev points at the lines, every answer is a verbatim quote with its page, you check it and export the table. Files stay in your browser.
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Camera-only autonomous drone in MuJoCo with a small judgment model (TypeSafe Jev) in the loop at 2.5Hz.
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A skill for writing and improving programs that call Jev, TypeSafe's System One model.
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Evaluating TypeSafe's System One primitives (Choice/Score/Noul) — where a typed oracle beats an LLM call.
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Calibrated alignment verifier for LLM responses and agent plans — powered by Jev.
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Route tasks to research/code/browser/support/writer agents via TypeSafe Jev.
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A GitHub project enabling voice-controlled Mac automation without vision models.
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End-to-end Jev-style structured-decision stack for auditable data construction, Qwen3.5-0.8B training, fixed Mind2Web and OOD evaluation, preliminary RLCD, local serving, and interactive replay.
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A developer project for automatic context clearing in Pi without losing conversation history.
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A developer project for lead scoring in Clay using Jev.
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Helping JEV speak <3.
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A developer project related to market analysis using Jev, collected for the markets shelf.
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Decision harness for TypeSafe Jev — confidence gates, shadow mode, recipes, and evals. Claude CLI 48.9s → Jev 1.3s on the same row-filter job.
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Chess moves, evaluations, persona opponents, and game classification with TypeSafe AI System One.
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Typesafe AI SDK in Elixir using Req.
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Using Jev to test how well it predicts financial markets(just like most llms as of september 2026, it doesnt do that good).
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