blog-notebooklm

# Blog NotebookLM: Source-Grounded Research from Your Documents Query Google NotebookLM notebooks directly from Claude Code for citation-backed answers from Gemini. Each question opens a headless browser session, retrieves the answer exclusively from your uploaded documents, and closes. Responses are Tier 1 quality (user's own primary sources): zero hallucination risk. Answers satisfy the FLOW evidence triple: use the returned source title as the inline citation and the notebook URL plus retrieval date as the bibliography entry. This is the highest-confidence path to meeting the "verified source" bar that FLOW requires before any statistic goes public. ## Quick Reference | Command | What it does | |---------|-------------| | `/blog notebooklm ask <question>` | Query a notebook for source-grounded answers | | `/blog notebooklm discover <url>` | Smart-discover notebook content before cataloging | | `/blog notebooklm library list` | List all notebooks in library | | `/blog notebooklm library add <url>` | Add a notebook to library | | `/blog notebooklm library search <query>` | Search notebooks by keyword | | `/blog notebooklm library remove <id>` | Remove a notebook from library | | `/blog notebooklm setup` | One-time Google authentication (browser visible) | | `/blog notebooklm status` | Check authentication status | | `/blog notebooklm cleanup` | Clean browser state (preserves library) | ## Prerequisites - Google account with NotebookLM access - Python 3.11+ (venv managed...