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Parker RexSeptember 29, 2024

Google's NoteBookLM is Absurd (No CODE!)

Google's NotebookLM: a game-changing AI research assistant that turns articles into podcasts, summaries, slides, and social posts in seconds.

Show Notes

Google's NotebookLM stacks up as a versatile AI assistant for learning and content creation. It can summarize long documents, generate podcasts from articles, and help you repurpose content for social media in minutes.

NotebookLM at a glance

  • What it is: a research assistant that organizes sources into notebooks and lets you extract, summarize, and generate content from those sources.
  • How it sources content: you can add websites, YouTube links, or PDFs. It can crawl and summarize the material, then generate downstream outputs like articles, podcasts, slides, and social posts.
  • Key capability: generate a podcast from a short article or prompt, and create other content around the same topic quickly.

Quick-start workflow

  • Create an account and a new notebook.
  • Add a source:
    • Paste a website URL or YouTube link.
    • Upload a PDF or other documents (the example of a long “Huberman” podcast or a 330-page manual demonstrates this).
  • Let it summarize and pull out topics, then:
    • Generate a podcast from the article.
    • Generate a social post (Instagram, etc.) using a prompt you tailor.
  • Save outputs as notes for later use and export to other tools (Canva, Meta platforms) for final formatting.
  • Example prompts you can reuse:
    • Develop a social media post for Brand X that engages the target audience with a clear hook, 2-3 bullets, and a CTA.
    • Explain what each camera mode does (for a product-specific manual).

Example prompt snippet:

Develop a social media post for Brand X that engages the target audience, uses a concise hook, 2-3 bullets, and a strong CTA.

Content generation & repurposing flows

  • Article to podcast:
    • Paste the article URL, hit go, and NotebookLM generates an audible-style podcast.
    • It can include references to sources and offer questions or prompts for deeper exploration.
  • Article to social post:
    • Use a ready-made prompt or your own variation, generate the post text, tweak as needed, and save as a note.
  • Quick handoff to design/tools:
    • Copy the text to Meta (for distribution) or Canva (for visuals) to finish the post with images and formatting.

Source management and limitations

  • Source limits: there is a limit on the number of sources per notebook. Community members on the NotebookLM Discord have been sharing workarounds.
  • Workaround idea:
    • Combine multiple sources into a single “mega-source” to keep the notebook flowing (be mindful of overflow limits).
  • Community notes:
    • The Discord community shares best practices and tips, including how to optimize prompts and workflows.

Practical camera-use case (learn-by-doing)

  • User scenario: upload a long camera manual (e.g., a 330-page PDF).
  • What you get:
    • A parsed summary with key topics and a structured overview.
    • The ability to ask questions like “Explain what each camera mode does” and receive a bulleted list you can reference.
    • Quick rename and organization of outputs for easy reuse.
  • Why this helps:
    • You can bypass long-form videos and get precise, topic-focused explanations and notes.
    • You can generate podcast-style explanations or briefs from the manual.

Voices, training, and future potential

  • Voice editing: there are early capabilities to adjust some voice options; no full voice training yet.
  • Future potential:
    • Training NotebookLM on your own voice for output that sounds like you.
    • Using your voice to generate articles or podcasts from input material without re-recording.
  • Takeaway: this is a live frontier; expect rapid improvements and new features over time.

Practical tips and caveats

  • Start simple: use a single source to test the notebook’s capabilities before expanding.
  • Don’t rely on it as a perfect source of truth: always verify references and cross-check critical details.
  • Experiment with prompts: small changes to prompts can dramatically change the tone and structure of outputs.
  • Plan for momentum: save notes, then export to Canva/Meta to lock in visuals and distribution.

Takeaways

  • NotebookLM can transform how you learn and create content by turning articles and manuals into podcast episodes, social posts, and study notes in minutes.
  • It’s especially handy for breaking down long PDFs and extracting actionable insights quickly.
  • The future looks promising with voice customization and more robust source handling on the horizon.

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