As I kick off this week, I’ll revisit an agent I started experimenting with last week. It’s designed to crawl and uncover related areas of content, with the goal of strengthening connections in our knowledge base (KB).

Last week, it successfully surfaced related topics. But it still needs refining. I can’t yet restrict the crawl to just the KB, and the output varies between runs, which makes consistency tricky.

That said, the insights are promising. With more tuning, I see this evolving into a powerful way to surface hidden relationships in content and improve how users find what they need.

And as always, when I write about AI, human eyes remain essential. We make the final call on whether topics should be linked.

Has anyone else explored AI-driven ways to map or connect knowledge?