LLMs as a Search Essayist

A developer using the handle z.gd recommends using large language models as a 'search essayist' to learn about technology, by having an LLM produce a detailed writeup with sources, then skimming the writeup while reading the source links in depth. The approach, shared in a post dated August 27, 2026, suggests piecing together the narrative from the sources to gain a deeper understanding.

This is a heavily interactive web application, and JavaScript is required. Simple HTML interfaces are possible, but that is not what this is. Post z z.gd did:plc:bi3eautjrp3zwn547mylvtwu I'm finding that a good way to learn about a technology is to have an LLM produce a detailed writeup, with sources. I skim the detailed writeup, while reading through the source links in depth. In this way, I treat LLMs as a "search essayist", and piece together the narrative later on. 2026-08-27T20:01:39.169Z