My daughter asked me a question one evening.
"Why does the sum of two sides of a triangle have to be greater than the third side?"
I didn't answer her directly. I said — why don't you try to draw a triangle where that isn't true?
She tried. She failed. She tried again. And then it clicked — that sparkle in her eyes, the kind that only comes from figuring something out yourself. That moment of earned understanding. That's critical thinking. And I was watching it disappear.
Because the easier path was right there, one tab away. Ask ChatGPT. Get the answer. Move on. No struggle, no spark, no learning that sticks.
I wasn't worried about AI itself. I was worried about what we were losing by using it without understanding it.
What We Were Seeing
As parents, we started paying attention — really paying attention — to how children around us were relating to AI.
We talked to kids of grade-7 and beyond. The responses were striking in their range. Some shrugged. Some said AI means ChatGPT. Some said they'd learned Python and could build models. Some said AI requires coding and they weren't cut out for it. The answers varied wildly. But the gap was the same across all of them — a simple, grounded understanding of what AI actually is — that was rarely there.
Other parents were seeing the same thing — children gravitating towards AI tools over a parent or a teacher. It was easier, faster and it never judged them.
When we looked at schools, the picture was fragmented.
At high school level, many had no AI literacy on the curriculum at all. Where it did exist, the focus included Python programming which was a barrier for many students. A handful of training institutes had taken a different route, teaching prompt engineering and tool usage under the banner of AI literacy.
Each of these approaches has its place. But none of them answered the question we kept coming back to: What does a future doctor, lawyer, teacher or policy maker actually need to understand about AI?
Not how to build it. Not just how to use it. But how it thinks, where it fails, what it assumes, and what it gets wrong.
There was a clear opportunity to teach AI literacy from first principles — one that develops intuition, builds critical thinking, and treats AI literacy as a foundational skill that belongs to every child (middle school onwards), not just the technically inclined.
Why This Matters Beyond Childhood
The professional world is making the same thing clear.
AI is already reshaping every profession it touches. Lawyers now have AI that reviews and summarizes contracts. Doctors have AI that spots anomalies in scans. AI tutors are coming up to help teachers to work with every student individually - something that a teacher cannot do alone.
But tools this powerful cut both ways. The same AI that assists a doctor can be over-relied upon when it shouldn't be. The same AI that speeds up legal research can cite cases that don't exist — and has already done so in real courtrooms. Knowing how to use these tools effectively and knowing when to question them are two sides of the same skill.
The children in classrooms today are the doctors, lawyers, teachers and policymakers of tomorrow. They will make decisions alongside these systems, be affected by them, and in some cases build them. What they need is not familiarity with any particular tool. They need to understand what AI is, how it reasons, where it fails, and when to trust it.
The Mission
Something crystallised.
Not every child needs to become an AI engineer. But every child deserves to understand what these systems are, how they learn, where they fail, and what responsibility we carry in using them.
AI literacy is not a technical skill. It is a life skill.
That conviction became a mission: To help every child understand how AI works.
Practical. Achievable. Urgent.
Train the Machine was born from that mission. Two decades at the intersection of enterprise technology and building products from scratch at startups, paired with a co-founder who brings deep roots in education — together, we had the confidence to embark on this journey. The timing helps too: we're living through a rare window where turning an idea into a working product has never been faster. We're excited to be building at this moment — when the technology is moving fast, the need is real, and every step of the journey will bring something new to learn.