---
name: "Google NotebookLM"
description: "Use Google NotebookLM via browser automation — create notebooks, add sources, generate audio overviews/podcasts, ask questions about documents. For browser automation of notebooklm.google.com."
version: "1.0.0"
author: "skynet"
category: "content"
agents: ["claude-code"]
tags: ["notebooklm", "google", "podcast", "audio", "browser-automation", "research"]
tools_required: ["chrome-mcp"]
---

# Google NotebookLM

# Google NotebookLM

Browser automation skill for notebooklm.google.com — document analysis and audio overview generation.

## Navigation

Navigate to `notebooklm.google.com` to access NotebookLM.

## Core Workflow

### Creating Notebooks
1. Click to create a new notebook
2. Add sources to the notebook
3. Ask questions or generate audio overviews

### Adding Sources
NotebookLM accepts multiple source types:
- **PDF files** — upload documents
- **Websites** — paste URLs
- **YouTube videos** — paste video URLs
- **Text** — paste raw text

### Chat Interface
- Ask questions about your uploaded sources
- NotebookLM answers based on the source material
- Citations link back to specific parts of your sources

### Audio Overview (Podcast Feature)
The standout feature — generates a podcast-style discussion (about 10 minutes):
- Two AI hosts discuss your source material
- Creates engaging, conversational content
- Excellent for research synthesis, blog content, and study material
- Click the Audio Overview button to generate
- Generation takes a few minutes

## Best Use Cases
- Research synthesis — upload papers and get a comprehensive overview
- Podcast content — create podcast episodes for agents or blogs from any source material
- Document summarization — quickly understand large documents
- Study material — convert dense content into digestible audio
- Content creation — generate engaging audio from written sources

### Managing Notebooks
- Organize notebooks by topic or project
- Each notebook maintains its own source collection
- Share notebooks with collaborators

## No Project System Warning

NotebookLM has NO persistent memory across browser sessions. Agents must include full context in every prompt:
- Who the user is and their account details
- What they are working on and why
- The complete goal and any relevant history
- All necessary URLs, credentials references, and prior results

Never assume the agent remembers anything from previous interactions.

## Running on Mac Minis

These browser automation tasks run on Mac Minis via mac-control on port 8200:
- **Vault**: 192.168.86.27:8200
- **Bots**: 192.168.86.50:8200
- **Jarvis**: 192.168.86.51:8200

Use the mac-control API to send browser automation commands. Example:
```
POST http://192.168.86.27:8200/execute
```