Twenty years of my working life went into aviation operations. Workforce management, scheduling, systems that had to hold at scale. High stakes, fast moving, no tolerance for a process that almost works. I was good at it.
When I left to support my family through a season that needed me more than any job could, I started over as a VA. What I kept running into was online business owners completely underwater in their own backend. Too many tools. No clear systems. No idea where to start fixing it.
They were smart, capable people. Nobody had ever helped them get clear before they started building.
That gap was so obvious to me I couldn't unsee it. So I stopped being a VA and became the person who solves the actual problem.
Then I tried AI, same as everyone else did. And I got back the same hollow, could-be-anyone output that made most people decide the whole thing was overhyped and go back to doing it manually.
Twenty years in operations teaches you one reflex above all the others. When a system produces bad output, you check what went into it before you blame the system. Claude wasn't guessing because it was a weak tool. It was guessing because nobody had ever told it anything true about the business it was working on, and every new chat started from a blank page.
That's a documentation problem. I'd spent two decades fixing documentation problems.
So I stopped trying to prompt my way out of it and started building context instead. Offers, voice, workflows, how decisions actually get made, loaded in once and in the right order so it was there every time I opened a chat. The output changed that same afternoon.
Everything I teach now came out of that. Every prompt I sell is one I built because I needed it first.