In 2009 an Italian designer named Gianluca Gimini started asking people to draw a bicycle from memory. He kept doing it for years, collecting hundreds of drawings. Most of them were wrong. People would put the chain on the front wheel, or connect the handlebars directly to the rear axle, or draw frames that were physically impossible to ride. These were people who had seen and ridden bicycles their entire lives. Some of them biked to work. They could recognize a bicycle instantly, pick their own bike out of a rack of fifty, tell you the difference between a road bike and a mountain bike. They just couldn't reconstruct one from the parts up.

My earliest memory as a child was walking home in the evening with my mom, through a street market. I was four years old, wearing a t-shirt and shorts. My shoes didn't fit well and I was tired. I had become fixated on a toy robot a vendor was selling: a battery-operated red robot with dials and lights. I remember distinctly thinking: this robot is not alive, but I am.

As someone with both technical engineering experience and product design experience in the startup world, I regularly receive outreach from first-time founders and aspiring entrepreneurs. These conversations follow a predictable pattern that's worth examining, particularly given how the recent AI boom has amplified certain misconceptions about building high-growth tech companies.