How I Use AI to Ace My Exams

Most students reach for AI the night before an exam and hope for the best. Used well, it can run your entire exam preparation — from flashcards to personalised mock exams. Here is the setup that works for me.

Prerequisites

• Understand spaced repetition and active recall.
• A productive day begins the night before: prioritise high-quality sleep and a consistent sleep schedule.

Software

• Use RemNote. Over the course of the semester, turn the contents of each lecture into RemNote flashcards. The software also supports creative flashcard formats — use them. Review your cards throughout the semester, then switch to RemNote’s exam planner feature for focused preparation.
• Use any chatbot with a high-quality model (try new platforms!) to explain things you don’t understand. You need to connect the dots. Depending on your usage, a pro plan can be worth it. Upload lecture slides, screenshots, and other materials to get better responses.

Preparation strategies

Open a new AI chat. Upload all of your lectures and past exams — merge the PDFs beforehand if needed. Tell the LLM when your exam is, what you’re already good at, and where your weaknesses lie. Let it generate explanations of topics you don’t understand yet, a study plan, and additional mock exams in Markdown (tell the AI to “render multiple-choice questions as to-do elements”). Complete the mock exams by writing your answers in Markdown, send your solutions back to the LLM, and let it evaluate and correct them. Then have it build new mock exams that target your weaknesses.

Advanced techniques

If you pay for an AI chat application, you can most likely have the LLM generate apps (HTML/CSS/JS) directly inside the platform. This is a game changer.

Give the AI a topic you struggle with and tell it to generate a Duolingo-style web app with interactive elements, animations, and a learning path. It will produce a complete HTML file that prepares you for your exam — and it’s actually fun. I one-shotted crazy results with this and was genuinely surprised by how good they were, because I didn’t build them in an AI-powered IDE but directly in my go-to LLM chatbot app. Since the apps were personalised to my mistakes and my class’s lectures, this was insanely good preparation.

Key takeaways

The pattern behind all of this: AI works best as a study partner that knows your weaknesses. Feed it your materials, let it test you, and iterate on what you get wrong.