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Google's Gemini Notebook introduces Expert Intelligence for interacting with purchased books

Google's AI note-taking app Gemini Notebook now lets users ask questions and generate content from books they've purchased on Google Play Books, with over 100,000 titles initially supported.

In a briefing with The Verge, Google Labs editorial director Steven Johnson demonstrated the tool by generating a recipe book using information from Michael Pollan's Food Rules. Another example showed Gemini Notebook applying knowledge from Kim Scott's Radical Candor to answer a question about handling a difficult conversation with an employee. Users can also view the full text of a book directly in Notebook.

Initially, more than 100,000 books from publishers such as Penguin Random House, Johns Hopkins University Press, Macmillan Publishers, and O'Reilly Media will support Expert Intelligence. Google also worked with 15 authors, including Pollan, Scott, Steven Pinker, and Jennifer Wallace, to create "Featured Notebooks" that each author customizes with additional source material, intro letters, and more. Titles supporting the feature will have "Gemini Notebook" listed under the "Tools" badge in Google Play Books.

Johnson told The Verge that he is interested in building a collection of people whose work users value, creating "your own dream team of advisors that are just available to you wherever you go." He also said the feature is designed to create new revenue possibilities for authors and publishers.

Google has built protections to prevent unauthorized access to book content. If a user shares a Notebook that includes a purchased book, recipients who do not own the title will see it listed as a source but will not be able to view the full text or related information. Clicking the source will direct them to Google Play Books to purchase it.

Johnson said Google will eventually bring Expert Intelligence to AI Mode in Search and the Gemini app, which can already pull information from Gemini Notebook. The company also plans to expand the feature to support scholarly articles, magazine articles, and newspapers.