# Google's NotebookLM Gains Code Execution and Multi-Format Exports

> Google's NotebookLM, the research assistant that answers strictly from documents you give it, just got considerably more capable. The upgrade moves it onto Gemini 3.5 and the new Antigravity models, which Google says lift its average win rate by 65 percent, and adds a secure cloud computer that lets the tool write and execute code using more than a hundred built-in skills. That code execution unlocks real outputs. NotebookLM can now generate PDFs, Excel spreadsheets, PowerPoint decks, and data visualizations, and it can help discover new sources through Google Search to build out a research library. Crucially, it stays source-grounded, reasoning only within the material you upload, whether that is PDFs, Docs, Slides, websites, YouTube videos, audio, or plain text. Enterprise users get more headroom, ingesting up to 200 large PDFs and spinning them into mind maps, infographics, and audio overviews. The appeal is a research tool that does the tedious downstream work, turning a pile of sources into a chart or a briefing deck, without the hallucinated citations that plague open-ended chatbots. Keeping the model boxed inside your own documents remains NotebookLM's quiet advantage.

_Section: [Daily AI Updates](https://www.wortins.com/daily-ai) · Source: Google · Published Wednesday, July 8, 2026_

## Wortins' read

Google's NotebookLM, the research assistant that answers strictly from documents you give it, just got considerably more capable. The upgrade moves it onto Gemini 3.5 and the new Antigravity models, which Google says lift its average win rate by 65 percent, and adds a secure cloud computer that lets the tool write and execute code using more than a hundred built-in skills. That code execution unlocks real outputs. NotebookLM can now generate PDFs, Excel spreadsheets, PowerPoint decks, and data visualizations, and it can help discover new sources through Google Search to build out a research library. Crucially, it stays source-grounded, reasoning only within the material you upload, whether that is PDFs, Docs, Slides, websites, YouTube videos, audio, or plain text. Enterprise users get more headroom, ingesting up to 200 large PDFs and spinning them into mind maps, infographics, and audio overviews. The appeal is a research tool that does the tedious downstream work, turning a pile of sources into a chart or a briefing deck, without the hallucinated citations that plague open-ended chatbots. Keeping the model boxed inside your own documents remains NotebookLM's quiet advantage.

## Source

[Read the full story at Google](https://blog.google/innovation-and-ai/products/notebooklm/better-research-notebooklm/)

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