Google may spend more time promoting its Gemini AI chatbot, but NotebookLM (the LM stands for Language Model) is built on the same underlying AI, and it takes the analysis and deep dive features up a notch.
NotebookLM is built around the idea of a digital notebook, where various different sources are gathered together and scrutinized. Using data you import, NotebookLM can produce everything from video explainers, to podcasts, to presentation slides, to flashcard study aids from your selected sources.
It’s an app packed with features, available on the web, on Android, and on iOS. If you’ve tried it out and you’re ready to level up your NotebookLM experience beyond the basics, these 10 tips will take you there.
You can make NotebookLM to find its own sources
The traditional way to get started with NotebookLM is to feed it one or more sources—PDFs, web links, or YouTube videos for example—but the app can
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