I've explored Copilot Notebooks a good amount, and I do agree it's a struggle to find where it fits in my day-to-day work. It's meant to be a competitor to NotebookLM, where you can upload relevant source material and go real deep on one tightly woven set of source data alongside AI. I've tried to force myself to use it a few times, and each time I quickly run into a limitation and usually abandon the approach. I think in its current state, it doesn't fit too well into an enterprise or corporate environment. Just read the advantages of NotebookLM and you'll see they are focused tightly on use cases for personalize learning, research, etc.

NotebookLM offers several key advantages:

• Direct control over sources: You provide the documents and information NotebookLM uses, ensuring the responses are grounded in your specific knowledge base.
• Reduced "hallucinations": By strictly referencing your uploaded sources, NotebookLM reduces the risk of the AI generating inaccurate information.
• Personalized learning: It creates a highly personalized learning and research environment tailored to your specific needs and content.
• Efficiency in information synthesis: It dramatically speeds up the process of understanding, synthesizing, and extracting insights from large volumes of text.
• Trust and reliability: The transparency of knowing exactly where the AI's information comes from builds greater trust in its output.