Five years as Chief of Staff and running an AI-ops team taught me something about the gap between potential and reality - it's not that companies don't know what AI could do, it's that they're too busy running their actual business to figure out how to make it real. They're drowning in the operational work that keeps the lights on while knowing that same work should be automated, but the path from here to there feels impossible when you're already underwater.

So I created this model after leading AI internally during our hypergrowth phase, watching what actually worked versus what sounded good in meetings. The answer was building one thing that worked, proving the value, then building the next thing. Two weeks at a time. Systematic progress instead of revolutionary plans on paper.

I'm now bringing that same model to market. You don't need a full-time AI person, but you need consistent progress. You don't want a massive project, but you need real systems built. So this becomes the solution: focused builds that ship often, at a price that makes sense, with the flexibility to pause when you need to focus elsewhere. One person who understands both the operational reality and the technical possibility, building exactly what you need without the overhead of teaching someone your business or managing another vendor relationship.

The simplicity is the point. One builder, one system at a time, continuous progress toward operations that run themselves.