Artificial Intelligence

Google’s NotebookLM Gets a Major Upgrade: Code Writing, Spreadsheet Building, and Smarter Research

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Google’s NotebookLM Gets a Major Upgrade: Code Writing, Spreadsheet Building, and Smarter Research

Google has supercharged its AI-powered notebook tool, NotebookLM, with a suite of powerful new capabilities. The most striking addition? NotebookLM now writes code and builds spreadsheets, moving far beyond simple note-taking. This update transforms the platform into a full-fledged research and productivity assistant for complex projects.

According to an official announcement from Google, the upgrade introduces a new reasoning engine, expanded file output options, and a more flexible research workflow. Users can now open a notebook with just a rough idea, and the tool will automatically find relevant sources from the web. This means less time curating materials and more time analyzing them.

NotebookLM Writes Code and Spreadsheets with Gemini 3.5

The core of this transformation is the shift to Gemini 3.5 and Google’s Antigravity coding model. This new engine brings more accurate responses and greater transparency into how the AI reaches its conclusions. Each notebook now runs on a dedicated cloud computer that can write and execute code, backed by over 100 curated software skills.

Google’s internal benchmarks show a 65%-plus win rate over the previous version across five core evaluation categories. Particularly impressive gains appear in large document analysis (69.9%) and web research (78.2%). Consequently, users can expect more reliable outputs when dealing with lengthy reports or complex online data.

Building on this, the tool can now generate a wide range of downloadable files directly from the studio panel. These include PDFs, Word documents, Excel spreadsheets, PowerPoint decks, CSVs, data visualizations, and images. Users can provide detailed formatting instructions before generation and request edits afterward. This makes it easy to turn a research notebook into a polished presentation or a data-heavy spreadsheet.

How the New Research Workflow Simplifies Projects

One of the most practical changes is the lowered barrier to entry. Previously, users needed a fully formed source library to get started. Now, you can open a notebook with a rough idea or question, and NotebookLM will use Google Search to surface relevant sources and help build out the repository.

Importantly, users retain full control over which sources are added. All sources remain clearly attributed throughout the notebook, ensuring transparency and accuracy. This feature is a boon for journalists, students, and researchers who often begin with a vague topic and need to discover credible sources quickly.

For a deeper dive into how AI tools are reshaping productivity, check out our guide on top AI productivity tools for 2026. Additionally, you might find our article on Google Workspace AI features useful for understanding the broader ecosystem.

Availability and Pricing for the NotebookLM Upgrade

The updates are live now for Google AI Ultra subscribers and Workspace business customers on AI Ultra Access and AI Expanded Access plans. Broader availability is planned for later this year. If you’re a power user of Google’s ecosystem, this upgrade is immediately accessible.

However, casual users will need to wait for the public rollout. Google hasn’t specified a date, but the company’s track record suggests a gradual expansion over the coming months. In the meantime, existing NotebookLM features remain available for all users.

To maximize your use of the new features, start by experimenting with the code-writing capability. Ask NotebookLM to generate a Python script for data analysis or an Excel formula for a complex calculation. You can also test the source-finding feature by entering a broad research question and letting the tool build your library.

As AI assistants become more integrated into daily workflows, tools like NotebookLM are setting a new standard. The ability to write code, build spreadsheets, and find sources automatically—all within one notebook—represents a significant leap forward. This is not just an incremental update; it’s a redefinition of what an AI notebook can do.

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