Posting peluncuran Jev
Diogo Almeida memperkenalkan Jev, model keputusan terstruktur dari TypeSafe. Tonton film peluncuran dan eksplorasi thread asli untuk pendekatan model, contoh, dan kinerja yang dilaporkan penulis.
A FIELD GUIDE TO JEV / VOL. 01
Yang terbaik dari Jev: proyek nyata, panduan praktis, dan ide dari seluruh internet.
Diogo Almeida memperkenalkan Jev, model keputusan terstruktur dari TypeSafe. Tonton film peluncuran dan eksplorasi thread asli untuk pendekatan model, contoh, dan kinerja yang dilaporkan penulis.
Pengumuman peluncuran resmi TypeSafe memperkenalkan laboratorium dan mengarahkan pengembang ke Jev. Termasuk film peluncuran Diogo Almeida dan pengantar asli.
TypeSafe mengumumkan akses publik ke Jev tanpa daftar tunggu. Konsol resmi adalah titik awal untuk mencoba keputusan bertipe dalam aplikasi Anda sendiri.
TypeSafe menyoroti pendekatan Jev untuk output bertipe: aplikasi menyediakan state dan pertanyaan, lalu bertindak berdasarkan probabilitas, pilihan, atau skor. Pengumuman terkait juga mencakup integrasi API Venice.
Start with the Launch Post. Explore four official signals.
286 sumber
AI-assisted summaries and translations. Check original sources for context and performance claims.
Agens Jev yang sangat cepat untuk penggunaan browser: Jev memilih operasi dan elemen DOM dalam satu permintaan; LLM kecil hanya menulis teks saat pengetikan diperlukan.
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Plugin Claude Code yang mengganti ringkasan kompaksi dengan keputusan Jev: setiap panggilan alat dan hasilnya dinilai dalam satu permintaan cepat, yang kedaluwarsa dihapus atau dipotong, semua yang disimpan tetap dalam bentuk asli.
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A developer project for automatic context clearing in Pi without losing conversation history.
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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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100% free ₹0 agent-first SEO & GEO CLI suite and MCP server in Rust replacing Semrush and OpenSEO via DuckDuckGo and TypeSafe Jev System One.
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A skill for writing and improving programs that call Jev, TypeSafe's System One model.
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An agent system that makes one Jev decision per computational step.
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Typesafe's jev as a "fuzzy linter". give your code an ocular patdown.
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Context curator for Pi agent using Jev technology.
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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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Fast Rust CLI for TypeSafe Jev: typed decisions, offline linting before you pay.
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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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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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WXT browser extension: Jev-powered page clutter removal with reusable template rules.
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Systematic software development framework for AI coding agents upgraded with TypeSafe Jev System One typed decisions.
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Typed, confidence-aware agent skill routing with 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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Standalone Android agent for Mobilerun where Jev makes every decision, with a live React studio and an Uber demo.
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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 deterministic model routing system for coding agents with a skill for Codex.
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OCR layar, klasifikasikan tindakan berikutnya dengan TypeSafe, lalu klik. macOS.
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A developer project that uses Jev as a sensor to control access to agent tools, enhancing security and functionality.
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A developer project where Jev assists in browsing by selecting actions, with an LLM planning and citing sources.
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Fast structured Android control loops with TypeSafe Jev and Mobile MCP.
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A developer project providing a local MCP server for running pre-made Jev question packs.
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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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A Chrome extension that brings TypeSafe's Jev to X.com to analyze posts as you browse.
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Claude Code Stop hook that checks an AI assistant's claims against what it actually read this session, using TypeSafe's Jev as the judge.
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Benchmarking Jev (Typesafe.ai) against a strong LLM on the Who&When Pro agent-failure-attribution benchmark (text subset).
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Almond-fastloop: Almond's browser computer-use rig (Chrome DevTools + TypeSafe Jev), and the Browser Use Olympics benchmark it is measured on.
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Open-source Chrome extension that filters AI-generated prose and ads with Jev.
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Alat baris perintah untuk model Jev TypeSafe AI. Membantu menjawab pertanyaan ya/tidak, pilihan ganda, dan rubrik dengan probabilitas yang dikalibrasi.
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Zero-hallucination open-source repo and crate scout powered by TypeSafe AI Jev System One scoring.
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Jev for Chrome: drives the tab you are looking at with TypeSafe Jev, a sub-second decision model. Community port of browser-use/jev-ultrafast, not affiliated with TypeSafe.
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Jev-powered conversation memory: find past sessions and revisit decisions with original sources. A macOS workspace for OpenAI Codex. Manage AI conversations and agents, explore code with CodeGraph, and work with Git, Ghostty terminals, and Apple Notes in one app.
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Agent Skill: send closed coding-agent judgments to TypeSafe Jev.
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MCP server and agent skill for the TypeSafe AI System One API (Jev): decompose a judgment into Choice / Score / Noul questions, lint them, measure on labelled data, and put calibrated thresholds in code.
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Grep, but the pattern is a description. Filters lines by meaning with TypeSafe's Jev decision model: ~200 ms and a thousandth of a cent per line.
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A moderation system for Mastra agents that processes inputs in a single file.
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A Chrome extension that covers distracting YouTube videos with Jev. Show anyway whenever you want.
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Browser extension that reads the YouTube caption track and paints a per-segment sponsor probability on the seek bar before the intro ends, with no crowd database.
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JevArena — two Jev agents duel in click-only browser games (Browser Use + TypeSafe Jev).
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2D autonomous car simulation in the browser, driven by TypeSafe's Jev decision model.
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Talk to your Mac. Local whisper.cpp + one Jev (TypeSafe) call per command + macOS automation.
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Select Git changes for staging with a plain-language description.
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用 TypeSafe Jev 推荐已安装 Skill / Bounded installed-skill recommendations with TypeSafe Jev. Python CLI, Codex skill, bilingual docs and live examples.
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TypeSafe (Jev) skill routing for Hermes Agent: names the one skill worth loading, before the model call. Opt-in, stdlib only, ~$0.001 per routed turn.
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Control a real browser by voice. Jev (TypeSafe System One) decides intent + target in ~300 ms per spoken word; Playwright acts — often before you finish the sentence.
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Voice-driven semantic auto-advance for Slidev, powered by Cloudflare Agents and TypeSafe AI Jev.
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Playjev uses Jev for browser automation with decision-making capabilities.
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Evidence-driven frontend QA built on Jev Ultrafast and Browser Harness, with a synthetic todo demo.
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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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A Magic 8 Ball for pull requests: click the ball and it answers "should I approve this?" with one of the 20 classic phrases, chosen by Jev from the PR's real signals in about 200 ms.
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在 X 的时间线上,给每条帖子标出它想让你干什么。判断来自 Jev,一个只返回概率、不生成文本的模型。
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Per-call GPT model routing for Codex: Jev chooses model and effort, a local Responses proxy keeps the tool loop intact, then independent verification and Router Compass check whether the task still passed.
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An agent project aimed at reducing token usage for coding agents via an MCP server.
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Experimental Hermes plugin: Jev-assisted model routing plans with budget and capability constraints. API access pending.
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Sub-second Git pre-commit & pre-push semantic reflex gate powered by TypeSafe AI Jev.
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ACP and MCP adapter that bridges TypeSafe Jev with any LLM — computer use and typed decisions alongside Codex, Claude, Grok, and OpenCode.
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I kept watching coding agents burn context on decisions that aren't hard - triage 400 tickets, tag 600 files, route to one of six teams. jev-mode moves those verdicts to a typed-judgment model. I A/B'd it: 78% fewer tokens, 16x less work-attributable input, accuracy 96.1% vs 93.7%. Python, no deps, MIT.
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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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Local browser automation UI that uses TypeSafe Jev to choose bounded page actions and a text model only for field values.
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TypeSafe Jev (System One) decision tools for Hermes Agent: jev_check / jev_route / jev_score / jev_evaluate.
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Application of TypeSafe Jev (noul judgment primitive) on the collusion.wiki corpus: agent vs human page authorship, head-to-head vs local Qwen3.8-Flash-Next.
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Browser-only playground for Jev (TypeSafe AI's decision model) via Vercel AI Gateway.
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Interactive TypeScript coding CLI with typed routing, decision programs, and validated formal trees driven by Jev.
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MCP server exposing TypeSafe Jev as typed, calibrated judgment tools: classify, score, check, batched ask. Ships as a Claude Code plugin.
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Self-improving agent harness with an optional TypeSafe Jev companion for typed Choice, Score, and Noul judgments.
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An agent project that enforces policies by judging Claude Code tool calls.
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A developer project using Jev for plain-language MCP tool calls without an LLM.
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Jev DSH 决策引擎|面向 Agent Harness 的结构化决策插件。原生支持 DeepSeek Harness,通过 iPolloWork 支持 OpenCode、Codex Harness。
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Jev plays browser table tennis in real time: structured telemetry, typed decisions, ordinary Chrome inputs, and auditable evidence.
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