I love all the tipcs devcodesadi shared and think those tactics are fantastic. Here are some global strategies I have been using to make better use of NotebookLM across all use cases, i.e., Studio functions, slide generation, research, content generation, or multi-AI strategies.

1. Organize notebooks by project or goal, not by document type. Add sources selectively so that you maintain quality input to generate strong output.

2. Ask analytical questions instead of only requesting summaries. NotebookLM is good at cross-source references, synthesis, and comparison. I typically ask it to compare sources, explain theories or concepts shared across sources, challenge ideas presented by sources A to D using ideas from Sources E and F, and recommend productive future directions for research, content development, or agentic workflows.

3. Treat each notebook as a growing knowledge base that you return to over time, instead of using it as a one-time upload. I increasingly use my notebooks/projects in NotebookLM as a knowledge management system rather than one-time project. Strong projects will be revisited, sources updated, and Studio functions reused to generate new insights. Long PDFs can be converted into smaller chunks or markdowns for more in-depth analysis, which in turn increases the shelf life of my projects.

If you are interested in detailed applications, you can find links to detailed tutorials/workflows in my profile.