The key thing to know is that the agent uses the same interface you would, not a clean backend connection. That’s what makes it flexible and also clunky.
Think about asking an assistant to sit at your laptop and handle a website task. They open Chrome, log in, read the page, click the button, fill the form, and tell you what happened. They don’t touch the site’s technical plumbing. They use the same screen you would. That’s powerful but imperfect: the agent repeats the visible actions a human would take, so it can click around for you, but it isn’t always efficient. That tradeoff is the whole category.
How it shows up
A computer-use agent might open a browser, visit a client portal, download a report, or check whether a button works, reading the page and deciding what to do next. It works through the front door, which makes it useful when there’s no API, no connector, or the task depends on what a user actually sees. It also creates friction: the agent may need authentication, hit a two-factor prompt, or trip when a page changes. Running headless (no visible browser window) makes debugging harder. Permissions matter too, since an agent using your logged-in browser may reach whatever that browser can.
Why you care
Computer use is a practical fallback. It lets AI work with tools built for humans, not agents, so it shouldn’t be your first choice when a cleaner, safer connection exists. Sometimes the only interface available is the same screen you use, and this is how an agent works with that.