What we discovered: managing AI successfully has less to do with prompt engineering and more to do with workflow design, strategic thinking, and knowing when to step in versus when to step back.

The revolution isn't in the technology, it's in how we're learning to lead it.

managing AI feels more like managing a remote team member who's incredibly capable but needs clear direction and boundaries.

, being an effective AI Manager has become a three-part role. First, I manage myself by consciously deciding which jobs to keep, which to delegate, and which to collaborate on. Second, I manage my AIs like a team, giving them clear instructions and coaching them with feedback. And third, I act as an orchestrator, picking the right tool for the... See more

what does managing AI mean to me? It means consciously managing my own evolution. It’s about re-allocating my focus from providing the answers to framing the right questions. It’s about trading the comfort of execution for the responsibility of judgment. Execution has become a commodity. Your strategic judgment is now the scarce asset.

Success has less to do with technical expertise and more to do with the softer skills of collaboration — patience, clarity, and knowing when to step back .