I ran a live session walking through a real life example of using NotebookLM to turn raw source documents into structured insights, summaries, and visual outputs.
If you want to understand:
- what NotebookLM actually is
- how it differs from LLM's like ChatGPT
- what you can practically do with it
This is a good place to start.
One of the key things that makes NotebookLM different is that it works from the sources you give it — documents, notes, links, and files — rather than pulling from the open internet.
In this session, I walk through:
- what NotebookLM is
- how it works with your own data
- how to add and manage source documents
- how to ask questions and get grounded answers
- how to turn notes into new sources
- how to create summaries, quizzes, and infographics