You already know everything you need to know. You just haven't been asked the right questions yet.

Fresh out of school, I was hired as a junior developer by a car dealership data company. IBM had spent three years and roughly $6 million failing to deliver the system. Toyota gave the company six weeks: get it done or the deal was gone. I was told, directly, that if this did not work there would be no job.

On day one, my boss wanted to write code for every report. About forty reports. My first thought was simple: that is too much work. There had to be a better way.

I saw the shape of a recursively dynamic system. A universal architecture that could absorb variation through configuration instead of new code every time. My boss said no. Then he went to lunch.

So my buddy and I stayed behind. I designed the database. I coached him through the connecting code. I built the report configuration page that proved the idea. Once my boss saw it, the answer was obvious.

On day fourteen, I wrote code that wrote code. It translated every Toyota financial statement, from dealers with different charts of accounts, into a universal chart of accounts that could work for every manufacturer. When it ran, three years of data came alive. Every report lit up. The in-house accountant verified it.

Then we were told to pretend it did not work for four weeks and deliver it on the last day of the six-week deadline. While we waited, we configured Honda, Hyundai, and Kia too. Not by rebuilding the system. Through configuration.

The current version of this site used to soften that story. It said I built it on a lunch hour. It made the whole thing cleaner and smaller than it was. That is exactly what AI does when nobody extracts the truth first: it writes the plausible version instead of the real one.

I am Canadian, living in Costa Rica, rebuilding from the side of a waterfall in the mountains. Mandie has been beside me since I was sixteen. Thirty-five years. We lost everything, and what we have built since matters because nothing about the setting makes it easy.

There is no San Francisco network behind this. No MIT or Harvard story. No co-founder pedigree doing half the trust work before I enter the room. The power goes out. Backups are real. Two internet providers are not a luxury. They are part of the operating plan.

That is the proof. I work with AI every day in conditions where systems have to survive contact with reality. If something only works in a perfect demo environment, it does not work.