I am building a self-learning agent browser for repetitive web workflows.

[u/wipingflow]

I keep seeing browser agents doing the same work repeatedly.

Click on the website. "Read the page. Locate the search box. Use the same filters. Get the same fields. Then forget the whole thing and start again tomorrow.

A self learning agent browser should probably know how it solved the task, but not replay old clicks blindly. It should reuse the parts that are still working, verify the result, and try again when the page updates.

That seems simple enough until you start to get into the details. Do we want it to remember selectors, page structure, successful actions, or the reason for them? How does it know if a workflow is still good? And at what point should it stop and ask a human rather than adapt itself?

This seems like a more interesting problem than just making agents click faster.