Browser & Computer Use for Jev

This browser agent turns visible page controls into an indexed action space for a natural-language goal. Jev chooses the operation and compatible element in one request; a separate small LLM generates text for TYPE_TEXT.

typesafe-computer-use turns a written goal into desktop actions using OCR and accessibility controls on a Mac. TypeSafe Jev chooses the action, target and site; code supplies facts, while a separate writer handles free text. Provide a TypeSafe key and screen-recording and accessibility permissions. The CLI offers a dry run before real mouse and keyboard control.

Jev Browser Use delegates navigation, clicks, toggles and scrolling while Codex handles text entry and final verification. Jev selects actions from observed controls using accessibility text; the existing Computer Use connection executes them. Requires Node.js 22+, a connected Codex browser and matching TypeSafe or OpenRouter credentials.

TipTour is a macOS menu-bar companion with Jev text tasks and a separate Gemini voice mode. Jev chooses locally detected controls; TipTour executes and validates clicks while screenshots stay local. Select a mode, supply its API key and grant permissions; building requires macOS 14.2+ and Xcode.

Surf exposes Chrome navigation, page reading, clicks and screenshots as CLI commands for agents and scripts. Optional semantic commands ask Jev to find controls, rank page regions, verify outcomes and select bounded actions. Use deterministic commands for known flows; semantic.act explores toward a goal with confidence, freshness and budget checks.

jev-voice-browser streams speech transcripts to a Node server controlling a visible Chromium window through Playwright. Jev selects intent and targets; code extracts literal text candidates and decides whether to act, wait or ask. Use Node 20+, a TypeSafe key and Chrome or Edge for the microphone control page.

Unclutter hides nonessential elements in Chrome, Chromium and Firefox using saved rules for matching page templates. Jev classifies candidate elements into typed categories; extension code validates responses and controls selectors and reversible hiding. Choose TypeSafe or Vercel credentials and analyze manually by default. Saved rules continue working offline.

Jev Browser runs a task from a starting URL and returns the final page, screenshot and decision trace. Use the npm CLI, MCP server or navigate library with Node.js 22 and a Jev provider key.

A Browser Use Agent that actually reads social media. Fast. Precise. Deep.

System 1 decision models (Jev, Laya, Cua-S1) as brain for agents: Browser use, computer use, games and robotics

Open-source, local-first social media research agent for Instagram, TikTok, and LinkedIn. Jev routes read-only steps; socai CLI captures cited browser evidence.

Say it, and your Mac does it. A computer-use harness on Jev that reads the screen through Accessibility. Fast, no vision model

A fast browser agent: Jev picks each action from what is on the page, an LLM reads and plans, and every claim in an answer cites a quote from the page.

Jev Browser — indexed browser automation. Jev chooses the control, Playwright acts. A CodexQA skill.

Browser automation where an LLM plans and Jev (Typesafe System One) decides. Library, CLI and MCP server.

🧹 Fun project: a Chrome extension that asks a tiny AI decision model (TypeSafe Jev) "is this DOM element an ad?" and pops it off the page. BYOK, no backend, not a real ad blocker.

TypeSafe Jev action selection inside Codex Computer Use

微信（FkWeChat 插件）：长按消息分析意图 / 情绪 / 回复姿态，只在本机弹提示，对方无感知

Everything you need to run TypeSafe's Jev with Claude Code: a tool-call guard, tier guard, file search, browser agent, review, belay, compaction and installers.

Chrome extension: vibe-check your X posts with TypeSafe's Jev before you hit Post

ACP and MCP adapter that bridges TypeSafe Jev with any LLM — computer use and typed decisions alongside Codex, Claude, Grok, and OpenCode.

Voice and text control for macOS. One floating bar, live UI action selection with Jev, and a continuous observe–act–verify loop.

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.

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.