NotebookLM gets Gemini 3.5 upgrade to help build source repository from scratch

Reviewed byNidhi Govil

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Google upgraded NotebookLM with Gemini 3.5 and the Antigravity platform, transforming how users approach research. The AI-powered note-taking app no longer requires pre-assembled sources—users can now start with a simple question and let NotebookLM guide source discovery using Google Search. Each notebook includes a secure cloud computer for code execution, enabling advanced analysis and outputs in formats like PDF, Excel, and data visualizations.

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NotebookLM Shifts to Gemini 3.5 for Enhanced Research Capabilities

Google announced a comprehensive upgrade to NotebookLM on Monday, marking what may be the research-focused AI tool's most significant transformation since its 2023 launch

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. The AI-powered note-taking app now runs on Gemini 3.5 as its default model, paired with the Antigravity platform to deliver more accurate and reliable information with improved transparency into its reasoning process

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. This matters because millions of users have turned to NotebookLM for studying, synthesizing documents, and research and data organization—and this update addresses one of the tool's biggest limitations

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The upgrade introduces agentic capabilities that allow NotebookLM to handle complex research tasks that previously required multiple applications. Each notebook now includes a secure cloud computer, enabling the AI note-taking assistant to write and execute code for deeper analysis

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. Google's AI product also features over 100 curated software skills to expand its thinking steps and create a wider range of results

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. This positions NotebookLM as a practical workspace where users can research, analyze, and package information without bouncing between half a dozen tools.

Building a Knowledge Base Without Pre-Assembled Sources

Previously, NotebookLM required users to bring their own sources to start building a knowledge base in order to extract insights

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. The latest update removes this barrier entirely. Users can now start a chat about a project with just a loose idea or question, and NotebookLM will help build source repository by suggesting different sources using its research skills and Google Search

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The feature assists users in finding primary sources in other languages or discovering new material from related authors

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. Importantly, NotebookLM doesn't remove users from the process—you still choose which sources are included, and each source stays clearly attributed so results remain grounded in information you trust

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. This transparent attribution helps ensure the final output maintains credibility while giving users control over their research direction.

Expanded Output Formats Transform Research Into Deliverables

NotebookLM now supports detailed instructions to generate output in different formats, with the ability to edit results once generated

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. The tool exports in formats including data visualizations and charts in PNG and SVG, documents as PDFs, DOCX, Markdown, and text files, Nano-banana-powered images, structured data in CSV and JSON, and Microsoft Excel and PowerPoint files

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All materials can be downloaded from the app's Studio Panel

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. This capability opens practical use cases across professions: researchers can merge messy international datasets, run code to analyze them, and produce charts plus a PDF report; technical teams can convert dense specifications into simplified guides and slide decks; small business owners can combine sales and spending data, then use NotebookLM's analysis and reporting to inform expansion decisions

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. The system's multilingual capabilities allow users to provide instructions in one language and receive completed work in another, making it valuable for international research projects

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Availability and What to Watch For

The updates are rolling out globally starting today to Google AI Ultra subscribers and all Workspace customers with AI Ultra Access and AI Expanded Access, with plans to expand availability to other users in the future

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. Last year, Google introduced a "Deep Research" mode for structured online research, and with the new feature rollout, NotebookLM will show detailed steps in the chat about how it arrived at answers for users to check the output

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This shift mirrors Google's broader strategy of adding coding capabilities to its search products to make them more engaging for question-and-answer interactions

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. As NotebookLM evolves from a simple note-taking tool into a comprehensive research workspace with code execution and advanced analysis, users should watch for expanded format support and potential integration with other Google AI services. The tool's ability to maintain source attribution while leveraging powerful AI models positions it as a trustworthy option in an increasingly crowded field of AI research assistants.

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