25:49Tiago Forte
Tiago Forte, author of _Building a Second Brain_, demonstrates the product then called NotebookLM with notes, PDFs, and clippings. The useful pattern is selecting a bounded source set, asking document questions, inspecting linked passages, and deciding how the resulting artefacts fit into an existing knowledge workflow.
What you should get from this: Observe a source-based notebook workflow and identify the retrieval, citation, provenance, and permission checks needed before relying on it.
Watch or know first: Have a small set of notes, PDFs or transcripts you are allowed to upload to a third-party tool.
AI Expert note: The durable lesson is inspecting source support, not the old NotebookLM interface or a guarantee of grounding. Before using Gemini Notebook with workplace or client material, confirm that the specific account, sharing, retention, training, region, and source controls are approved, and verify that cited passages support the answer.
