AI-friendly note-taking is a secret art right now, so I’m sharing how I do it here.
I looked for good guides for this, but what I get when I dare a Google search is a bunch of listicle trash that talks about tool features.
And almost no one is talking about the real issue:
notes are personal
AI is an unprecedented technology at enabling personalized work
But we don’t have an effective guide that bridges the two
We need a flexible tool and structure options to enable AI-native notes from the get go, and that’s what this guide is all about.
I spent months digging through AI note-taking systems, and I finally concluded that by far the best option for most of us is NotebookLM.
That’s because it’s free, it’s highly configurable, and it is extremely accurate (virtually no hallucinations).
But I find in practice a lot of folks get intimidated by configurable tools because YOU have to bring your own organizational schema.
Well, this guide is designed to make that easy for you. It goes into multiple workflows, ways of organizing your notes, prompts that work with NotebookLM specifically, and also walks through how you handle cross-LLM workflows (like retrieving in NotebookLM, analyzing in ChatGPT).
Super useful stuff, even if you have a notes application you love (no shade to the lovers of Obsidian and Evernote out there—great applications too!)
Dig in, and enjoy learning how I keep things organized in the age of AI!