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.
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 actually head out on the web and find its own relevant sources too.
When the results appear, select the ones you'd like to use and click Import. You can continue to look for new sources as needed, tweaking the information you're searching for each time.
You can be a "guest" on your Audio Overview podcasts
Become part of your AI podcasts with the Join button. Credit: LifehackerClick the waving hand icon next to any Audio Overview to go into interactive mode, and when you've got something to say, click Join. The AI hosts will break to let you have your say, and then respond to your comment or question before resuming the podcast.
Select an individual source from the Sources pane and you'll see a Source guide up at the top: This is a handy AI-generated overview of the source and the content it contains. It will give you a good understanding of the material, and help you decide if it is a source you want to include in future queries. There are also tags down at the bottom of the guide that cover the key subjects in the source—click on any of these to get NotebookLM to tell you more about that subject in particular.
You can give each chat with NotebookLM its own personality
You can heavily customize how NotebookLM responds. Credit: LifehackerFor example, you can ask for replies to be aimed at a high school level of understanding, indicate that you're writing up a report for a board meeting, or get the AI to break down its responses into short, separated bullet points. The instructions you give it here get applied for the rest of the chat, until you change them again.
You can fix this by uploading an existing slideshow and using it as a reference point. Add it as a source, and then refer to the name of the file in your request for a new presentation: Just tell NotebookLM to use the existing slideshow as a style template, and it will.
NotebookLM's sharing options can your notebooks with the world
NotebookLM notebooks can be made public. Credit: LifehackerThis link will lead anyone who finds it directly to your notebook. They will get their own private chat history, but they won't be able to make any changes to sources or Studio materials.
When you click Add sources, you then need to click the Web drop-down menu and pick Drive instead. Enter something you're looking for, and you'll get a list of matches from your Drive storage: You can then use the checkboxes to decide which files to import.
Whether you're working on your next novel or trying to wrangle data from multiple spreadsheets for a business report, it makes it easy to mine the data inside whatever you've got stored in Google Drive.
You can tailor the sources for each prompt
Select different sources for different prompts. Credit: LifehackerIf you're working on really complex prompts—full of instructions, references, and multi-level queries—then these can work best as separate documents within your notebook. It means you've got more flexibility when composing and editing them, and once they have been made, you can refer to them again and again.
For your next prompt, reference the name of the document and ask NotebookLM to use its contents as a framework for what it should do next. The AI will confirm that it's read and understood the document, and then proceeds as instructed.
Pull information from all of your notebooks at once by uploading them to Gemini
Your notebooks are available through Gemini too. Credit: LifehackerYour NotebookLM notebooks will also be available in the Google Gemini app. Select the + (plus) button next to the Gemini prompt box, and NotebookLM comes up as an option. You can then pick one or more notebooks to import. There are lots of ways that this can be useful, from using Gemini to create videos and images based on your collected material, to running prompts that analyze multiple notebooks at once (saving you having to switch between them in NotebookLM).
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