Google Research introduced NotebookLM

Google Research introduced NotebookLM. NotebookLM is Google’s AI-powered research assistant and “thinking partner” that helps you work with your own sources, not just generic internet knowledge. You upload materials (PDFs, docs, slides, websites, text, etc.), and NotebookLM helps you understand, summarize, compare, and extract insights grounded in those sources.

A key idea: it’s designed to turn “too much information” into something usable — helping you ask better questions, connect ideas, and draft useful outputs based on the context you provide.

What does it generate, and why does it feel different from a normal chatbot?

NotebookLM doesn’t just chat — it generates work artifacts from your sources, such as:

• Summaries and explanations
• Q&A grounded in your uploaded content
• Briefing docs / study-style outputs
• Audio Overviews: podcast-like “deep dive” conversations generated from your sources in one click

Example:

I just sent him my latest large article, Part 9: Microservices and Distributed Systems – C# / .NET Interview Questions and Answers, and asked him to generate different content based on just one link I provided.

Disclaimer:

 I did not use special prompts or tune it, extra text or anything like that. Ofc, if you provide more information, the result might be much better.

Below is what he generates for me:

I tried every single studio item to generate and here is results:

MindMap:

Infographic:

Flashcards:

Video:

Summary 

NotebookLM feels different from a normal chatbot because it’s source-grounded and output-driven: you give it links, documents, or text, and it generates multiple ready-to-use formats (Mind Map, Flashcards, Infographic, Audio/Video Overviews, Reports) that stay tied to your material — not “generic internet knowledge.”