The Long Road — And How It Led to a Better Way to Learn

There’s something deeply human about building things — the long hours, the late nights, the quiet moments when everything clicks into place. Recently, I found myself reflecting on the process of creating Rev & Learn, the educational quiz platform for children. It wasn’t just about writing code or designing a user interface. It was about figuring out how to make learning feel like a game, not a chore. And that required more than just technical know-how — it required understanding what makes a child want to learn, and how AI could help make that happen in a way that felt natural and engaging.

One of the hardest parts was structuring the age-appropriate question packs. It wasn’t enough to simply list facts or concepts — the questions had to be challenging, but not overwhelming. They had to fit into a format that kept children interested. This was where working with AI became invaluable. I asked questions like, 'How can I make this more engaging for 6-year-olds?' and 'What kind of format would make a 12-year-old want to keep playing?' The AI didn’t just provide answers — it pushed me to think through the design, the language, and the rhythm of each question pack in a way I hadn’t anticipated.

There were moments of surprise, too. For example, when the first set of lessons was live, and I watched a child answer a question about the Kenyan curriculum and see a small celebration animation appear on the screen. It wasn’t just a technical success — it was a human one. It showed that the tool wasn’t just working — it was being used in a way that made learning feel fun and meaningful.

Pride comes in unexpected places. One of the most satisfying parts of building Rev & Learn was seeing the progress tracking feature come together. It wasn’t just about showing how many questions a child had answered — it was about showing them how far they had come, and how much they had learned. The idea of a child being able to see their own growth, and maybe even share it with a parent or teacher, was a powerful moment. It reminded me why I started this project in the first place: to build something that made a real difference in the lives of Kenyan children.

As I look back on the process, I’m reminded that building AI-powered tools for everyday life in Kenya is never a straight path. It’s a series of challenges, discoveries, and moments of clarity — each one shaping what the final product will be. And while the journey isn’t always easy, it’s always worth it when you see the impact it makes on real people.

If you're interested in seeing how AI can be used to create practical tools for everyday life in Kenya, you can explore some of the projects I’ve built here. And if you're a builder, a parent, or a professional curious about the possibilities of AI, I’d love to hear your thoughts and see how we can continue to build better tools for the future.