What's Next for Flowst
I thought I was trying to solve a personal deficiency, even worse, a mental deformity, when I decided to build Flowst.
I couldn't understand why I didn't have mental models around what I was learning, or why I wasn't able to connect all the ideas and technical concepts I had learned in the last five years of my journey into a career in tech.
As a final-year student, I got scared—so scared that graduating with a good degree became so important. But I also needed to ensure that I wasn't just graduating with good grades. I needed to know exactly what it was that I was learning, doing, and how to describe and explain it.
So that's how Flowst came about.
But everything changed after I attended the graduation ceremony of high school students last Saturday.
Seeing them made me realize that this is a much bigger problem than my desire for good grades.
These students are walking into a future where AI will shape how they learn, work, and solve problems, yet many of them are not being taught how to think with AI, question it, collaborate with it, or use it responsibly.
It made me realize that Flowst shouldn't stop at helping me.
Which is why, after the hackathon results are released, my next step is to evolve Flowst into a teacher-student learning experience.
Over the next 30 days, I'll be designing and testing a classroom pilot with one teacher and a small group of students to understand how AI can support learning in a classroom, collect evidence, observe how students and teachers interact with Flowst, and learn how—and if—it can improve engagement, retention, critical thinking, and AI literacy.
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