How to Use NotebookLM (Google's AI "Tool for Understanding")

Tiago Forte · 2026-05-22 ·▶ Watch on YouTube ·via captions ·3 min read
TL;DR

NotebookLM is Google's source-grounded AI tool that lets you upload up to 20 documents and have a conversational AI draw exclusively from those sources. It collapses reading, research, note-taking, and writing into a single integrated workspace, eliminating the need for manual organization. ---

Key Concepts

Source-grounded AI
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The AI only draws from documents you explicitly provide — no hallucinations from the open web, no mixing with other users' data
Notebook
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A self-contained workspace for a single project; holds all sources, conversations, and pinned responses
Context window
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NotebookLM supports up to 20 sources × 200,000 words each = 4 million words total — larger than any other AI tool at time of recording
Pin board
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A persistent space at the top of the interface where you save ("pin") AI responses you want to keep visible
Citations
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Every AI response links back to the exact passage in the source document, shown highlighted in context
Tools for thought
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The broader category of software (including second brains) aimed at augmenting human cognition — the conceptual lineage NotebookLM belongs to

Notes

§Getting Started

  • Visit notebooklm.google.com; sign in with a Gmail account
  • At time of filming: limited to US users aged 18+
  • Create a new notebook with the + button and give it a project-specific title
  • Three main interface areas:
  • Left column — Sources panel
  • Bottom box — Chat/conversation input
  • Top area — Pin board for saved responses

§Adding Sources

  • Three source types: Google Drive documents, PDF uploads, copy-pasted text
  • Select up to 20 documents; each can be up to 200,000 words
  • Clicking a source shows an AI-generated summary and key topics, plus full scrollable content
  • You can add a new inline note at any time via "Add note" — paste text from anywhere (email, web, another app)

§Core Workflow

  • Load multiple related sources to enable cross-document synthesis
  • Ask questions conversationally; follow up to expand, distill, reformat, or redirect
  • Use suggested questions (pre-generated, context-specific) as jumping-off points
  • Pin responses you want to keep; otherwise the conversation is ephemeral
  • Citations let you trace every claim back to its source passage with surrounding context

§Use Case: Understanding Difficult Material

  • Upload a complex PDF (e.g., academic paper)
  • Ask plain-language questions to get summaries and explanations
  • Drill into specific confusing points with follow-up questions
  • Ask it to reformat findings into a letter, memo, or argument for a specific audience

§Use Case: Meeting Notes / Transcripts

  • Upload a full meeting transcript (tested with a 26-page / 12,000-word Google Doc)
  • Ask for main points, decisions, or action items
  • Extend further: ask it to draft a proposal, curriculum, or follow-up document based on the conversation
  • Safe to upload proprietary content — sources are not used to train any model and are wiped when you leave the notebook

§Use Case: Writing — Editorial Mode

  • Upload a draft as a source
  • Ask for improvement suggestions, then ask for a full rewrite following those suggestions
  • Add a second source (e.g., notes from a book on writing craft) and ask it to rewrite the draft applying advice from that book
  • Citations show exactly which advice from the reference book was applied

§Use Case: Writing — Ideation Mode

  • Start with one source (e.g., book notes) and ask for related ideas or research avenues
  • Add a second source and ask for connections between the two books
  • Narrow toward a specific angle, add more sources, ask for article title ideas → outline → opening lines
  • Demonstrates going from no idea → compelling opening paragraph through iterative conversation

§Getting Your Notes into NotebookLM via Readwise

  • Readwise (paid) syncs highlights from Kindle, Readwise Reader, and other sources to Google Docs
  • Go to Readwise → Export → connect Google Docs (same account as NotebookLM)
  • Key setting: keep "send each source to its own Google Doc" enabled so you can selectively choose individual books/articles as sources
  • If disabled, all highlights merge into one or a few docs — useful for conversing with your entire reading history at once but harder to filter
  • Run the export; a readwise folder appears in Google Drive, ready to use as NotebookLM sources

§Limitations

  • Experimental platform — bugs and learning curve expected
  • Cannot connect directly to note-taking apps (Evernote, Notion, Google Keep) — must use an intermediary like Readwise
  • Hard limit of 20 sources per notebook
  • Struggles with math, messy PDF formatting, and precise detail retrieval in very large sources
  • Team confirmed fixes and improvements are in progress

Actionable Takeaways

  1. Create a NotebookLM account at notebooklm.google.com and start one notebook for a current project
  2. Connect Readwise to Google Docs to automatically export book/article highlights as individual Google Docs, making them ready for NotebookLM
  3. When uploading a long transcript or document, ask for main points first, then progressively ask for deliverables (proposal, curriculum, letter)
  4. Use the pin board immediately — save any response worth keeping before continuing the conversation
  5. Add a writing-craft reference (e.g., notes from a book on writing) as a second source when revising drafts to get style-informed rewrites with citations
  6. Keep the "one source per Google Doc" setting enabled in Readwise to stay within the 20-source limit while retaining selectivity

Quotes Worth Keeping

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You point the AI at a specific set of documents, effectively giving it instant expertise in whatever knowledge they contain — so you always know it's only drawing on authoritative, private, trusted information.

“

Until now, the stages of the creative process — reading, researching, note-taking, and writing — were completely separate. NotebookLM gets all those steps and folds them into a single integrated space so you can remain in that wonderful flow state and keep moving forward.

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It's an AI collaborator trained on the data only you possess, with your unique view of the world.