In this live session, I dive into NotebookLM, Google’s AI-powered research assistant that turns scrambled information sources into structured insights.
I showcase the basic structure of NotebookLM and its core functionality, and then explore the more “tucked away” features, helpful third-party tools, and practical use cases for inspiration.
What you’ll learn:
The three-panel interface: How Sources, Chat, and Studio work together to unlock new ways of learning.
Source discovery: How to find the exact sources you need and decide which are worth keeping.
Source curation: A “source hygiene” approach that helps you identify irrelevant sources, spot contradictions, and find knowledge gaps to patch.
Chat superpowers: How to save your best insights, change how NotebookLM responds, and verify its answers.
All 9 “Studio” outputs: What each format is best suited for and how to customize them to your learning goals.
Advanced workflows: Lesser-known features and external tools that improve your NotebookLM experience.
Creative applications: Practical use cases for NotebookLM beyond basic research and learning.
