Notebook LM Usage Guide

Rule of Thumb for Using Notebook LM

When should you use Notebook LM? Here are three criteria:

1. Low Tolerance for Hallucination: If you need accurate information without errors.
2. Scattered Information: When working with data from different locations, formats, and mediums (text, video, audio).
3. Quick Consolidation: When you need to quickly transform fragmented information into meaningful outputs.

Key Features and Tips

Getting Started with Notebook LM

• First-time users may find the interface overwhelming. Start by navigating to the Notebook LM homepage for clarity.
• Bookmark the Homepage: For easy access in the future.
• View Preferences: Switch to list view and sort by title.

Creating and Naming Notebooks

• Naming: Ensure your notebook has a relevant name (e.g., Health Reports 2).
• Uploading Sources: Click the plus icon to upload documents, videos, etc.

Processing and Using Sources

• Once sources are uploaded, you can:
  • Access summaries of documents.
  • Explore topics by selecting key points from documents to gather expanded info across multiple sources.

Save Important Outputs

• Always save useful outputs by clicking "Save to Note," to prevent data loss upon notebook reload.

Examples of use cases

1. Health Reports Analysis

• Analyze health trends across multiple annual reports.
• Incorporate external videos to make informed health decisions.

2. Knowledge Retrieval

• Create focused notebooks with equipment manuals or business tax documentation.
• Extract specific information on procedures or legal obligations.

3. Project Context Engine

• Manage documents for each project with meeting notes, plans, and more.
• Utilize auto-generated templates for summaries and timelines.

4. Earnings Analysis

• Compile earnings reports and analyst articles for targeted industry insights.
• Customize podcast content output for easy digestion during commuting or workouts.

Pro Tips

• Source Selection: When asking questions, select only relevant documents to avoid mixing information from different topics.
• Manual Note Conversion: Convert notes to standalone sources after each completion.
• Google Workspace Users: Consider joining newsletters for actionable tips; sync content for up-to-date information.

Considerations and Limitations

• Creativity vs. Accuracy: Notebook LM is not optimized for creative outputs. Use Gemini or Claw for creative final deliverables.
• Data Capacity: Notebook LM can handle up to 25 million words per notebook but is limited to 20 sources.
• Quality of Sources: High-quality sources yield better results than less credible content.

Feel free to explore more use cases in AI playlists or request further content related to Notebook LM usage. Have a great one!