The trick there is to use a subagent to read the HTML page and extract the relevant information, than dumping all that HTML into your top-level session.
That's effectively using an LLM as an HTML to markdown converter, which is both absurdly wasteful and also surprisingly inexpensive (if you use a model like GPT-5.6 Luna.)
The trick there is to use a subagent to read the HTML page and extract the relevant information, than dumping all that HTML into your top-level session.
That's effectively using an LLM as an HTML to markdown converter, which is both absurdly wasteful and also surprisingly inexpensive (if you use a model like GPT-5.6 Luna.)