你一会儿在浏览器搜资料，一会儿回聊天框补背景，一会儿再回编辑器改几行代码。
最容易做错的，是browser-use / video-use；代价往往是如果把它们都当成同一种工具，你会在最该省事的地方继续手动搬运上下文，最后多一轮返工。；我先给一个保守判断：它把网页自动化改写成自然语言接口。
My conservative read is simple: browser-use turns web automation into a natural-language interface. AI tools are starting to take not just coding work, but the scraps of time you lose switching back and forth. Most people think they need a stronger model; actually, they need fewer window switches.
The repo is the first clue. It does not frame command-line version 3.0 like old click-script RPA. It frames it as a reliable browser for coding agents, and the quickstart leads with a Python agent, browser profiles, and domain restrictions, basically a whitelist for where the agent can operate [S001]. That is a different product shape from "record some clicks and replay them."
The docs push the same idea. They focus on custom tool extensions and on passing the live browser session into those tools [S002]. That only makes sense if the product expects engineers to compose 工作流程（工作流程（workflow）s） around a live browser state, not if it thinks prompting alone replaces engineering.
My boundary: this is a read of the current browser-use README, docs, and a 2026 web-injection study, not a production verdict. That study reported 15.3K indirect prompt injections across 1.2B URLs, with about 70% in non-rendered HTML 页面（HTML） [S007]. So I would not read this as hands-off automation. I would read it as a new interface layer that still needs scope control and security discipline.
If your team is evaluating browser-use / video-use, ask a better question before you compare models: which tool removes more context 交接（handoff）s from your 工作流程（workflow）?
真正该讨论的是：AI 工具真正开始抢的，不只是代码活，而是你来回切换的那些碎时间。