Create an efficient reading loop with NotebookLM, try this approach—

Phase one: read normally in WeChat Reading, highlight as needed, and accumulate your core idea library. This is the foundation and the source of everything that follows.

Phase two is the key. Before importing the full e-book into NotebookLM, first convert the format to txt using Calibre for the best compatibility. Then upload it to NotebookLM and activate the fast research or deep research features to automatically gather related materials around the topic. The system will automatically associate points of interest, saving you a lot of manual organization time.

The final step: after finishing the book, go back to WeChat Reading to organize your highlights and notes. Then, with your organized thoughts, switch to NotebookLM and have a dialogue with the Gemini 3 Model. Let AI help you explore the deeper logic behind your highlights or analyze your understanding from another perspective. This way, the re-reading process shifts from passive review to active critical thinking.

The beauty of this process is—reading, data collection, note organization, and deep thinking are fully integrated, with a clear toolchain and significantly improved knowledge retention. Worth a try.