Google NotebookLM can be turned into a personal mentor on any topic in five minutes

Google NotebookLM can be transformed from an ordinary AI notebook into a personal mentor literally in just a few minutes. The idea is to upload the best materials on a needed topic to the service and ask questions not abstractly, but tied to a specific task — from analyzing text to improving chess skills.

How the approach works

The scheme used by the guide's author is very simple: create a new notebook in NotebookLM, add a set of sources to it, and formulate a query as if you're talking not with a general chatbot, but with a specialist with a specific school of thought. PDFs, articles, YouTube videos, tables, and even mp3 files work as sources. After that, the model responds not "out of thin air," but based on the uploaded database, showing footnotes to the fragments from which it drew its arguments.

One example in the material is working with texts. The author collected books, articles, and videos about copywriting in NotebookLM, then asked the service to help with a headline for a draft article about unemployment risk from AI. The logic is that NotebookLM doesn't just give a set of general advice, but reproduces the approach of a specific author and lets you refine the answer with a series of follow-up questions. This format is closer to a dialogue with an editor or teacher than to a typical prompt-and-response.

"You don't need to assault the entire source."

What to build the base from

The key idea of the guide is not to limit yourself to a single document. The better curated the collection, the more useful the final answers. If you put together several strong materials on one topic, NotebookLM begins to work like a convenient interface to a personal mini-library, where you can quickly search for recommendations, explanations, and practical steps.

• Books and textbooks — for basic principles, terms, and a systemic view.
• Articles and notes — for fresh examples, practice, and short analyses.
• YouTube lectures and interviews — to extract the style of thinking and verbal explanations of experts.
• Tables, notes, and summaries — to tie advice to your own data and progress.
• MP3 and audio — to later use materials in audio recap mode.

As a second scenario, the author offers chess training. He uploads popular videos from Bobby Fischer, Magnus Carlsen, Soviet grandmasters, and books on the subject, then asks quite practical questions: how to improve your game, what five mistakes repeat most often, what one champion would recommend versus another, and what plan would help you solidify above a 1600 rating. Because of this, NotebookLM transforms not into an encyclopedia, but into a coach who works from the user's current level.

Where it's more useful

The main difference between this scenario and normal communication with universal chatbots is the binding to a specific corpus of materials. In the guide this is presented quite firmly: the author believes that standard answers often remain at the level of "it'll do," while NotebookLM gives a deeper response because it relies on selected sources. Even if one disputes this assessment, the practical advantage is obvious: the user sees where the advice came from and can quickly check how relevant it is.

This approach is convenient not only for studying. It can be used for editing text, preparing for exams, analyzing mistakes in practice, creating personal learning tracks, and planning next steps after studying a topic. Separately, the author recommends paying attention to the audio recap function: from uploaded materials you can assemble something like a mini-podcast, export an mp3 to your smartphone, and listen on the go.

This is especially useful when you don't have time to sit in the interface and have a long dialogue with the model. Another practical detail — audio mode can be customized not only "by source," but also to your own question. For example, ask the service to discuss the topic with a focus on a specific market, task, or constraint.

Combined with browser bookmarks, this turns separate notebooks into permanent work tools: one for texts, another for chess, a third for business or research.

What it means

NotebookLM is increasingly becoming not just a note storage, but an interface to your own knowledge base. For authors, specialists, and students, it's one of the fastest ways to turn books, videos, and documents into a working learning system that answers substantively and sticks to real sources.