Browser Use + Jev
Gregor Zunic이 공개한 항공편 검색 데모입니다. 화면의 DOM에 맞춰 가능한 동작을 구성합니다.
A FIELD GUIDE TO JEV / VOL. 01
인터넷 곳곳의 Jev 프로젝트, 실용적인 가이드와 놀라운 아이디어를 한곳에서.
Gregor Zunic이 공개한 항공편 검색 데모입니다. 화면의 DOM에 맞춰 가능한 동작을 구성합니다.
01 / 실제 제작자의 실험에서 시작하세요.
378 개 자료 / 자료 보관함
필터 초기화요약·번역에 AI를 활용합니다. 원문과 성능 주장은 출처에서 확인하세요.
Jev가 작업과 DOM 요소를 선택하고, 입력할 문장이 필요할 때만 작은 LLM이 텍스트를 작성하는 브라우저 에이전트입니다.
도구 호출과 결과를 Jev로 평가해 오래된 문맥을 줄이고, 남길 정보는 원문으로 보존하는 Claude Code 플러그인입니다.
TypeSafe AI의 Jev 모델을 위한 명령줄 도구로, 텍스트에 대한 예/아니요, 다중선택 및 평가 기준 질문에 대답하고 보정된 확률을 반환합니다. 쉘과 CI에 대한 종료 코드, 스크립트용 JSON, AI 에이전트용 MCP 도구로 사용됩니다.
Fast semantic code search & diff sanity auditor for AI coding assistants (Antigravity, Cursor, Claude Code) powered by TypeSafe System One.
Computer use for about $0.0002 a step: OCR the screen, classify the next action with TypeSafe, click. macOS.
Guardrail + model router for LLM gateways on TypeSafe's Jev (System One model), with an independent accuracy/calibration/latency evaluation. Stdlib Python.
Sub-second Git pre-commit & pre-push semantic reflex gate powered by TypeSafe AI Jev.
Jev-Tool-Runner is a GitHub project where Jev selects developer tools and Codex generates code based on those selections.
Chrome-devtools-mcp plus one tool: Jev walks the browser to the right spot, then your agent makes a single devtools call there.
A system enabling rapid agent deployment on digital canvases without relying on slow LLM processes.
Browser automation with Jev (TypeSafe) as decision model.
Draw on a tldraw canvas with your voice and a pointing finger. Jev (TypeSafe System One) decides action, target and place in ~350 ms per spoken word.
A Codex plugin that uses Jev to streamline and reduce excessive tool outputs.
Command-line tool for TypeSafe's Jev AI model.
TypeSafe Jev (System One) decision tools for Hermes Agent: jev_check / jev_route / jev_score / jev_evaluate.
AskJev — Jev autopilot for any website + guard on irreversible clicks (TypeSafe System One, not Claude).
Dependency-free CLI and Codex skill that send local state to Jev for batched typed judgments and return answers without echoing the state.
MCP server for TypeSafe Jev: typed classify, score, check, match and screen for any agent, with confidence on every answer.
Runtime constraints for the pi coding agent: checks every side-effecting tool call against what you said, before it runs. Powered by TypeSafe Jev.
Zero-hallucination open-source repo and crate scout powered by TypeSafe AI Jev System One scoring.
A critique of using Jev for context compaction, highlighting issues with its approach to managing AI agent history.
Hybrid browser harness: an LLM turns goals into verifiable subgoals, Jev chooses each action and DOM field, Playwright acts.
TypeSafe AI Jev judgments for Agent Zero, with typed tools and probability cards.
Fast structured Android control loops with TypeSafe Jev and Mobile MCP.