Running deep research with AI often creates a new problem instead of solving one. You get a polished report, but then spend hours checking footnotes, chasing primary sources, and second-guessing whether the AI hallucinated key claims. In this new class from the Gen AI App Series, NotebookLM Deep Research, you’ll see how Google’s NotebookLM changes that workflow by keeping every claim source-grounded, verifiable, and easy to interrogate in seconds.
The core challenge for knowledge workers is not generating research, it is trusting it. Traditional deep research tools can produce impressive summaries, but they often separate insights from their underlying evidence. This class shows how NotebookLM flips that model by importing both the research output and the full set of supporting sources directly into your notebook, giving you a single place to explore, validate, and refine your findings without manual copy-paste or tab overload.
In this rapid, approximately 20-minute walkthrough, Mike Kaput demonstrates how to turn NotebookLM into an autonomous research system. You’ll see the complete workflow from prompt to verified output, a side-by-side comparison with standard Gemini deep research, and practical techniques for tracing statistics back to original sources. By the end, you’ll know exactly when NotebookLM Deep Research outperforms standalone tools and how to use it to produce faster, more credible, citation-ready work.
What You’ll Learn
How to Watch
The Gen AI App Series is available exclusively to AI Mastery Members. Each week, you’ll get a focused walkthrough from Mike Kaput and Claire Prudhomme. You’ll see the ins and outs of a single AI tool each week, from productivity apps and research assistants to image, video, and generative media platforms. We want you to leave with a better of understanding of if, when, and how it fits into your workflow. Become an AI Mastery Member today.
AI Mastery Members can view this class here.