NotebookLM
Summary
- NotebookLM is a Google AI product that uses your own uploaded documents as sources to answer questions, generate summaries, and create audio overviews — grounded entirely in your content, not general web knowledge.
Key Points
- Sources can be: Markdown files, PDFs, Google Docs, web URLs, or pasted text.
- Answers are always cited back to a specific source — it will not hallucinate outside your uploaded content.
- Audio Overview generates a ~10 min podcast-style conversation between two AI hosts summarizing your sources.
- Briefing Doc and Study Guide outputs give structured summaries and Q&A from your material.
- Each Notebook is isolated — sources from one notebook do not bleed into another.
- Useful as a synthesis layer over this Obsidian vault: upload a topic folder’s notes to query across them.
Scenario
- Your vault has many notes on a topic and you want to ask cross-cutting questions (e.g. “what are the differences between Claude Code and OpenAI Codex?”).
- You want to turn your notes into a study guide or audio briefing before a meeting or review.
- You want to verify what you actually know (grounded in your own notes, not AI guessing).
How to Use
- Go to notebooklm.google.com and create a new Notebook.
- Add sources — upload Markdown files, PDFs, or paste content directly.
- Ask questions in the chat panel; answers include source citations.
- Use the output panel to generate: Audio Overview, Briefing Doc, FAQ, or Study Guide.
To bundle a vault topic folder into one file for easy upload:
cat "AI/Claude Code/"*.md > claude-code-notes.mdExamples
- Upload all
AI/Claude Code/notes → ask “what slash commands manage context?” → cited answer from your own Slash Commands Reference. - Upload all AI notes → generate Audio Overview → 10-min podcast summarizing your knowledge of Claude Code, OpenAI, and Gemini.
- Upload meeting notes or research → generate Study Guide → structured Q&A for review.
Related
- AI/Google/Google AI Overview
- AI/Claude Code/index
- AI/Prompt Engineering