An experiment in building an AI-powered study companion for students, using React, Capacitor, Supabase, and a little frustration with the way we study.
There's a funny problem with studying.
You sit down because you want to learn something. Three hours later, you've organized your PDFs, highlighted paragraphs, rewritten notes, created a few flashcards, and somehow haven't actually studied that much.
Congratulations. You've successfully procrastinated using productivity tools.
I've experienced this enough times to start questioning the workflow itself.
Why does preparing to study sometimes feel like an entirely separate subject?
That question eventually turned into Cramio.
The real problem wasn't a lack of study materials
Students already have materials. Plenty of them, actually.
Lecture slides, PDFs, textbooks, handwritten notes, screenshots, and documents scattered across different folders.
The problem is what happens next.
A PDF contains 40 pages of information. You need to understand it, identify the important concepts, create questions, and test whether you've actually retained anything.
Most of that preparation is repetitive.
I started thinking: what if the application could handle some of that preparation, while the student focused on understanding the material?
Not another chatbot with a fancy interface. Not another application that simply summarizes everything and calls it learning.
I wanted something built around the actual studying workflow.
Building Cramio: From raw materials to active learning
Cramio is an AI-powered study application that turns existing learning materials into resources students can actively use.
The central idea is simple:
Your materials should become the starting point of your learning experience, not another thing you have to manually process.
Here's how that translates into the product.
From reading to reviewing
Instead of manually rewriting an entire lecture document, Cramio helps generate organized study notes.
The goal is to make lengthy learning materials easier to navigate and revisit.
From memorizing to active recall
Flashcards are useful because they force you to retrieve information instead of passively rereading it.
Cramio uses AI to help generate question-and-answer cards from study materials, making it easier to start practicing.
From guessing to testing
Reading something five times doesn't necessarily mean you understand it.
That's why Cramio also includes AI-generated quizzes, allowing students to test their understanding and identify areas that need more attention.
When the material gets confusing
Sometimes the problem isn't memorization. It's understanding a concept in the first place.
Cramio also includes an AI study assistant to help students work through questions and difficult topics.
The engineering behind it
I didn't want Cramio to become a collection of disconnected AI features.
The challenge was creating an application where authentication, study materials, AI generation, and the actual learning experience worked together.
The current architecture uses:
- React for the application interface.
- Capacitor to bring the web application into an Android environment.
- Supabase for backend services and data management.
- Clerk for authentication.
- AI-powered workflows for generating learning resources.
One important engineering consideration is that AI-generated content needs structure.
Generating text is relatively straightforward. Generating useful educational material that students can actually review is a different problem.
A flashcard should test a meaningful concept. A quiz should assess understanding. Notes should be readable rather than becoming another wall of generated text.
That's the difference between adding AI to an application and designing an application around a meaningful AI-assisted workflow.
Why Android first?
I wanted to focus on making the experience accessible through an actual mobile application.
Students don't always study at a desk with a laptop open. Sometimes they're reviewing materials between classes, commuting, or studying from their phones.
Building with Capacitor gives Cramio a way to share its React application architecture while delivering an Android experience.
It also introduces its own challenges: mobile interactions, navigation, authentication flows, responsive layouts, and making sure the application feels native enough to use comfortably.
These are the kinds of details that don't always show up in a feature announcement, but they matter enormously to the actual product.
I'm not trying to replace studying with AI
This is probably the most important distinction.
AI shouldn't become another shortcut that makes students feel productive without actually learning anything.
Summarizing a chapter isn't the same as understanding it. Generating flashcards isn't the same as remembering their answers.
The interesting opportunity is using AI to reduce the friction between receiving learning materials and actively engaging with them.
Cramio is built around that idea.
What's next?
Cramio is an ongoing project, and there's still plenty to improve.
Some areas I'm particularly interested in are:
- Improving the quality and usefulness of AI-generated study materials.
- Making PDF processing more reliable.
- Refining the mobile learning experience.
- Making studying more engaging without turning the application into a distraction.
- Building a better workflow around active recall and self-assessment.
I want to keep approaching this as an engineering problem: identify friction, understand its cause, and build something that genuinely improves the experience.
Try it yourself
If you're a student who spends too much time preparing materials instead of actually studying, Cramio might be worth exploring.
And if you're a developer interested in building AI-powered applications, I'd be interested in hearing how you're approaching the challenge of making AI genuinely useful beyond a chat interface.
Because honestly, students already have enough things to memorize. They shouldn't have to memorize an entire workflow just to start studying.
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