Gemini notebooks are now live inside Google’s Gemini platform, following the company’s decision to integrate NotebookLM directly into its AI assistant. The move gives users a way to organize conversations, files, and custom instructions around specific topics or projects, addressing a long-standing request for folder-like organization in Gemini.
How Gemini Notebooks Work
Each notebook functions as a dedicated workspace. Users create a notebook, assign custom instructions, and upload relevant files or sources. All conversations held inside that notebook remain grouped there, separate from other chats. The setup differs from a simple folder system because the notebook accumulates context over time as users add more material to it.
Gemini Notebooks vs. Other AI Workspace Tools
The feature draws comparisons to custom GPTs in ChatGPT and Projects in Claude, but Google’s approach ties the workspace directly to artificial intelligence capabilities inside NotebookLM. Unlike a fixed configuration, a notebook in Gemini grows as users add context. NotebookLM also supports generating quizzes, short videos, and podcast-style audio from the same source material, extending what users can do beyond plain text chat.
Practical Uses Across Different User Groups
Students can create one notebook per subject, loading it with lecture notes and readings for the entire semester. When a quiz or podcast episode on a specific lesson is needed, switching to the NotebookLM view generates that content from the same notebook. The workflow keeps all study material in one place without duplicating files.
For professionals, the notebooks offer a way to separate client or project work. People managers, specifically, can create one notebook per direct report, pulling in meeting notes and documents from Google Drive. Before a one-on-one meeting, a manager can ask Gemini to summarize what has been discussed over recent weeks, drawing from everything stored in that notebook.
Creative and Personal Projects
The notebooks also apply to personal or creative work. A writer building a fictional world, for example, can store character details, invented languages, and plot lore inside a single notebook. Each time the user opens it, Gemini already has full context for that project, removing the need to re-explain background information at the start of every session.
The integration reflects a broader shift in how AI assistants are moving toward persistent, context-aware workspaces rather than isolated chat sessions. Google has not stated a specific rollout timeline for all users, but the feature is accessible inside the Gemini interface for users with NotebookLM access as of April 2026.
