Exam week has a familiar shape. Twelve lectures to revise, four days left, and a folder of notes you have not opened since term started. So you paste a topic into a chatbot, read a clean summary, and feel like you have done something. Then you sit the paper and realise you recognised the material without being able to produce it.

Recognising an answer and being able to write one are two different skills. Exams only test the second. The good news is that if you use AI to study for exams properly, the newer study features from OpenAI and Google are built for exactly that gap.

What it really means to use AI to study for exams

There are two ways to use AI to study for exams. The first is as an answer machine: you ask, it explains, you read, you move on. It feels fast and teaches you very little.

The second is as a tutor that makes you do the work. It asks you questions, waits for your answer, corrects you, and only then moves forward. That version is slower and far more useful. Both OpenAI and Google now ship a mode built around this idea, and both describe it the same way: guide the student rather than hand over the solution.

From my own experience building websites and learning technical tools, the pattern holds outside exams too. Reading documentation feels productive. Trying to explain the thing to somebody else is when you find out what you actually understood.

Step 1: turn your syllabus into a plan before you ask for answers

Before you revise anything, give the AI your reality. Paste in the topic list or the module outline and tell it how many days you have, how many hours a day you can realistically give it, and which topics scare you most.

Ask for a day by day plan that spends more time on your weak topics and puts a short review of older topics at the start of each day. Then edit it. A plan you did not adjust is a plan you will abandon by Tuesday.

If time management is your bigger problem, our guide on how to use AI for time management and daily planning covers the wider workflow.

Step 2: switch on a study mode instead of using plain chat

OpenAI launched study mode in ChatGPT in July 2025. You turn it on by selecting Study and learn from the tools menu, then asking your question. Instead of answering outright, it uses guiding questions, hints, scaffolded explanations and short knowledge checks, and you can toggle it off mid conversation if you just want the answer. OpenAI is open about the trade off: it runs on custom instructions, so it can behave inconsistently or make mistakes.

Google has an equivalent called Guided Learning in the Gemini app. It asks you questions back, breaks a problem into steps, adapts to your level, and can build a study guide from course material you upload. Gemini also generates flashcards and quizzes, and Google says the mode runs on LearnLM, a version of its models tuned for learning.

The practical difference is real. Plain chat gives you a paragraph to read. Study mode gives you a question to answer, which is the thing your brain will need to do in the exam hall.

Step 3: make flashcards and quizzes from your own notes

Generic flashcards off the internet cover a generic syllabus. Yours does not. This is where NotebookLM earns its place: you upload your lecture notes, slides or readings, and it generates flashcards and quizzes grounded only in those sources. You can set the topic and the difficulty, share a set with classmates by link, and click explain on any card to get a fuller answer with citations pointing back to your original document.

That citation link matters more than it sounds. When a flashcard looks wrong, you can check it against your own slide in one click instead of guessing. We wrote a full walkthrough of how to use NotebookLM if you have not tried it yet.

NotebookLM also has audio formats now, including a short Brief summary and a Debate format where two AI hosts argue different sides of a topic. That one is useful for essay subjects where you need to hold two positions in your head.

Step 4: explain it back before you move on

After each topic, close the notes and explain it to the AI in your own words, out loud or typed. Then ask it to point out what you left out or got wrong.

This is the cheapest high value habit in the whole list. It takes three minutes, it needs no special tool, and it is brutally honest. If you cannot explain photosynthesis or a discounted cash flow without looking, you have not learned it yet, no matter how many summaries you read.

Step 5: practise under something like exam conditions

Give the AI a real past paper question or ask it to write one in your exam format, then answer it with a timer running and nothing open. Afterwards, paste your answer back and ask for marking against the actual marking criteria if your course publishes them.

Ask for the two specific things that would raise the grade rather than a general comment. Vague feedback is easy for a model to produce and useless to you.

A five day plan you can copy

• Day 1: Build the plan, upload your notes, generate flashcards for the two weakest topics.
• Day 2: Study mode on your weakest topic, then explain it back with the notes closed.
• Day 3: Second weakest topic, plus a ten minute flashcard review of day 2.
• Day 4: One timed past paper question, marked and reviewed. Fix the gaps it exposes.
• Day 5: Quiz yourself across everything, review only what you get wrong, then stop early and sleep.

Where AI still gets things wrong

AI models state wrong things confidently, and a flashcard is a very confident format. If a card contradicts your lecturer, your lecturer sets the exam. Trust the source, not the summary. Our post on why AI sometimes gives wrong answers explains why this happens.

Important tip: only generate study material from sources you have actually uploaded, and check anything you plan to memorise against your own notes at least once. A wrong fact you drilled twenty times is worse than a gap you knew about.

Two other cautions worth a minute of your time. Be careful what you upload, especially unpublished material or anything belonging to somebody else, and check your institution rules before you paste coursework anywhere. Working through years of websites and online tools has taught me that the upload button is the easiest place to make a quiet mistake. Our guide on using AI tools without cheating covers the academic integrity side properly.

Common Questions

Is using AI to study for exams cheating?

Using AI to quiz yourself, plan revision or explain a concept is studying, not cheating. Submitting AI written work as your own is a different thing entirely. When in doubt, read your institution academic integrity policy, because the rules vary between universities and even between modules.

Do I need to pay for these study features?

Not to get started. OpenAI made study mode available to logged in users on its free tier as well as paid ones, Guided Learning is in the Gemini app, and NotebookLM has a free tier. Paid plans mainly raise usage limits, so try the free versions before you spend anything.

Can AI predict what will be on my exam?

No, and be suspicious of anything that claims otherwise. It can spot themes across past papers you give it and generate practice questions in the same style, which is genuinely useful, but it has no knowledge of your unseen paper.

Final takeaway

The tools have quietly got better at the one thing that matters here. Study mode, Guided Learning and NotebookLM flashcards all push you to retrieve the answer rather than read it. That is the whole trick.

Pick one topic today, put the AI in study mode, and let it question you for fifteen minutes. If you finish that session slightly uncomfortable, it is working. For a wider view of how these tools fit into study and work, start with our guide on how AI can help with research and productivity.

Useful official sources: OpenAI on study mode, Google on Guided Learning in Gemini, and Google on NotebookLM flashcards and quizzes.