Google's NotebookLM now runs its own cloud computer with code execution and agent-based research

2026-06-10 · Source: The Decoder · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Emerging Technologies & Innovation · Depth: Fundamental Awareness, quick

Summary

Google has significantly updated its AI research tool, NotebookLM, which now operates on Gemini 3.5 Flash and integrates Google's Antigravity coding tool. This overhaul provides each notebook with its own cloud computer, enabling users to write and execute code directly within the environment. The system also introduces new agent-based features designed to handle more complex research projects. Google reports that in internal tests, the enhanced NotebookLM outperformed its predecessor approximately 65 percent of the time. Additionally, the update allows users to export results as PDF reports with charts, Excel spreadsheets, PowerPoint presentations, and image files. A new zero-source capability automatically finds and incorporates relevant information via Google Search. This updated version is available globally for Google AI Ultra and Workspace customers with AI Ultra Access and AI Expanded Access.

Key takeaway

For research scientists and technical professionals aiming to accelerate their data analysis and report generation, NotebookLM's new integrated cloud computer and agent-based features offer a significant workflow improvement. You can now execute code directly, automatically source information via Google Search, and export polished reports, spreadsheets, or presentations. This update allows you to consolidate research tasks, potentially reducing time spent on manual data compilation and formatting, and enabling more focus on analytical insights.

Key insights

NotebookLM now integrates cloud computing and agent-based AI to streamline complex research and content generation.

Principles

• Integrating dedicated compute enhances AI research tools.
• Agent-based features improve complex project handling.

In practice

• Execute code directly within NotebookLM for data analysis.
• Generate PDF reports, Excel, or PowerPoint from research results.
• Utilize zero-source option to auto-find Google Search sources.

Topics

• Google NotebookLM
• Gemini 3.5 Flash
• AI Research Tools
• Code Execution
• Agent-based AI
• Cloud Computing

Best for: AI Scientist, Research Scientist, Tech Journalist

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Editorial summary, takeaway, and curation by AIssential. Original article published by The Decoder.