"What's the best AI study app?" is one of the most frequent questions in student forums, usually followed by an argument between NotebookLM and ChatGPT. The honest answer is that they are good at different jobs, and the argument goes on because people are using one tool for a job that suits another. A source-grounded tool is good for finding and summarising, a general assistant is good for flexible explanation, and a tutor is good for building and testing understanding.
A note on fairness: these tools change quickly, so check current features before you commit. We make Tutor AI, so we are including it. We have tried to describe every option by what it is designed for.
How do the three compare at a glance?
| NotebookLM | ChatGPT (and similar chatbots) | AI tutor (e.g. Tutor AI) | |
|---|---|---|---|
| Designed for | Working with your own documents | General-purpose assistant | Teaching a topic through questions |
| Grounded in your material | Yes, by design | Only if you set it up | Yes (course/content-based) |
| Default behaviour | Summarize, answer, generate study aids | Answer | Ask, hint, then explain |
| Best for | Summaries, overviews, finding things in long sources | Flexible help, brainstorming, explanations, writing | Building and testing understanding |
| Main risk | Passive reading | Blending sources; answers too fast | Needs your effort to work |
What is NotebookLM good at?
Students like NotebookLM for one reason a commenter summed up well: "it won't hallucinate random facts from the internet, it's confined to the source material you gave it." That matters when you are studying a specific syllabus and want answers tied to specific pages. It is good for summarising long readings and lecture slides, locating where a topic is covered, and generating study guides and question lists from your sources.
There are two things to watch. Summaries are comfortable to read, which makes it easy to feel prepared without ever being tested. And it only knows what you uploaded, so if your notes are incomplete, so is the answer. It is a good first pass and a poor place to stop.
What is ChatGPT good at, and what is the catch?
ChatGPT and similar assistants such as Gemini and Claude are versatile. They explain concepts in different ways, help with writing and coding, and can role-play a tutor if you prompt them to. They are especially useful when an explanation in your textbook has not landed and you want the same idea five different ways, or when you need help brainstorming and outlining, or working through an example when you specify how.
The catch is that, by default, it is an answer machine. It will "answer from general knowledge and blend it with your material without telling you which is which," as one student observed. Without careful prompting you get the answer and not the practice, and it forgets between sessions unless you use projects or memory features. Used well, it is a flexible explainer. Used carelessly, it is a way to feel like you are studying.
What does a purpose-built AI tutor do differently?
A tutor's job is different from an assistant's. It is designed to ask you something, wait for your attempt, respond to what you said, and decide what to ask next. It does not try to be the shortest route to the answer. That makes it good for learning something you do not yet understand, for practising with questions at the right difficulty, and for tracking what you keep getting wrong.
It has limits too. It works only if you engage, because a tutor cannot learn for you, and human help still matters, especially for emotionally hard or complex subjects. There is also a real question of whether students will keep using a tool that asks before it answers, which is why the design of the session matters as much as the idea behind it.
What does one chapter look like across all three?
Imagine you have a 40-page chapter on the causes of the First World War and a test on Friday. On Monday you upload the chapter to NotebookLM, or another source-grounded tool, and ask for an overview and a list of the key terms, then use it to find where each topic is covered. That is gathering, not learning. On Tuesday you ask a general assistant to explain the alliance system three different ways until one clicks, checking any date or name against the chapter.
From Wednesday to Thursday you use a tutor, or a Socratic prompt in a chatbot, and answer questions one at a time with no notes, keeping a list of what you miss. On Friday morning you write a summary from memory and compare it with the chapter. Each tool does the job it is good at, and the practice happens in the middle of the week, which is where the learning is.
What should you ask about any study tool?
When a new app appears, a few questions cut through the marketing. Where does the answer come from: your material, the wider internet, or both? Who does the thinking, and does the tool ask you to produce anything or only show you things? What does it remember, and does it keep track of what you got wrong? What happens to your data, which is worth reading about if you are under 18 or uploading course material? And what does it cost after the trial ends?
How do you combine tools without getting lost?
The risk of using several tools is spending more time moving between them than studying. Keep it simple, with one place to gather material, one place to be tested, and one notebook for your mistakes list. If you find yourself switching apps every ten minutes, stop and pick one job for each.
Which should you use for which situation?
If you have 200 pages to skim by Friday, use NotebookLM for a first pass. If you need a concept explained a different way, use ChatGPT or Gemini. If you need to really know something for an exam, use an AI tutor, or a Socratic prompt with a chatbot, plus your own self-testing. And if you want to learn a new subject and do not know where to start, look for a tool that helps you find content and guides you through it. Most students end up using two of these together: a source-grounded tool to gather material, then a tutor to test understanding.
Where Tutor AI sits
Tutor AI is built for the third and fourth situations: Socratic tutoring, interactive practice, and finding content when you are learning on your own. It is not a replacement for a summarizer or a general assistant. It is what you reach for when the goal is to actually learn the material.
The rule of thumb
Whichever tool you pick, ask after each session: did I produce anything, or only read? If the answer is "only read," add a quiz.
Frequently asked questions
Is NotebookLM better than ChatGPT for studying? For working with your own documents, usually yes, because it stays within your sources. For flexible explanation, ChatGPT often does more. They suit different parts of studying.
Can I use only one tool? You can, but the cost is usually a gap. A source-grounded tool alone leaves you reading, and a chatbot alone can drift from your syllabus.
Are these tools free? Most have free tiers with limits, and plans change often, so check current pricing before you build a routine around one.
Which is best for exams? The one that makes you practise. Use a summariser to gather, then a tutor or a Socratic prompt to test yourself, and a timed practice paper as the final check.