Building systems that scale

One of my favorite games is Factorio. The satisfaction is not just getting a factory to work once. It is designing a system that can be scaled up and still work cleanly when the load changes.

That same instinct shows up in technical and analytical work. I like starting with an ambiguous question, naming the options, deciding what criteria matter, and looking for the choice that is effective now and still durable as conditions change.

I am most engaged by work that leaves room for focused thinking: finding bottlenecks, comparing tradeoffs, and building systems that can handle more than their first use case. I like the moment when a messy problem becomes legible enough to improve, without pretending every uncertainty has disappeared.

That habit connects to how I think about evaluation too. A system that only works in the demo is not finished. The interesting version is the one that still holds when the conditions get less friendly.