NotebookLM in 10 Bites: Fast Research (7/10)

Michael Wacht

🔥

2d (edited) • 🟠 AI Practitioner

Bite 7 — Work Across Multiple Sources

If you have been following along, so far, you have:

✅ Signed up

✅ Created a notebook

✅ Added a source

✅ Asked your first question

✅ Created your first output

✅ Saved useful notes

✅ Turned a note into a source

Now it is time to level up.

Today, we are going to work with multiple sources and use Web Fast Research. This is where NotebookLM starts to feel much more powerful.

Up to this point, you have mostly been working from one source at a time. That is useful, but in real life, good information is often spread across more than one place. A transcript, a meeting note, a process document, and a saved note you refined yourself can all hold part of the answer.

When you bring multiple sources together, NotebookLM can help you find patterns, themes, gaps, and connections across them. And when you use Web Fast Research, you give NotebookLM even more relevant information to work with.

👉 Today, we will use Web Fast Research to gather more information related to your topic.

📚 Multiple Sources: More context

The more relevant source material you add, the more context NotebookLM has to work with.

🌐 Web Fast Research: Add outside information quickly

This helps NotebookLM bring in additional context and useful information related to your topic.

Now let’s use it.

Steps:

☐ Go to Web Fast Research

☐ Type this question: "Best practices for team meetings"

☐ Run the search

☐ Review the results that come back

☐ Click View and select one or more sources, or simply click Import to accept all sources

☐ Click Import to bring those sources into your notebook

That’s it.

You just took an important advanced step forward in how to use NotebookLM.

This is where the tool starts to feel much more practical for real work, because the best insights usually do not come from one isolated document. They come from connecting ideas across multiple pieces of material and giving NotebookLM more context to work with.

Today, you learned how to do exactly that by using multiple sources and Web Fast Research together.

Tomorrow, we’ll build on this by turning stronger source material into better outputs.

Until then, feel free to apply one or more of the previous lessons to multiple sources:

✅ Asked questions in Chat

✅ Created outputs in Studio

✅ Saved useful notes from Chat

✅ Turned a note into a source in Studio

If you find something useful, share it with the community.

NotebookLM in 10 Bites Posts

https://www.skool.com/ai-bits-and-pieces/classroom/d794c491?md=3c289d252c2946409be887ab1db8a5a1

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