I build the operating system, then I build the people who run it.

The software should bend to the business now — not the other way around.

For twenty years the deal was that you found the closest tool and then reshaped your process to fit what it could do. Every creative team I've worked in has a workflow with a strange kink in it that exists purely because some product's data model demanded it. That constraint is gone. Once software can bend to the real business need, accepting a bad-fit process because "that's how the tool works" stops being pragmatism and becomes a choice.

So the honest first question is buy, adapt, or build. My job is finding the products that genuinely make creative teams more efficient — and when nothing on the market fits the actual need, building it rather than contorting the team around a near-miss. Sometimes that's a matter of days, against a five- or six-figure annual line item that still wouldn't fit how the team works. Every AI product I've built serves an operations function. That's not a coincidence — it's where the unmet need has been.

And the difference is that I don't just vibe-code it. I build the traditional way: research the problem, define it, write requirements, then build. AI collapsed the cost of implementation, not the cost of thinking — so that discipline matters more now, not less, because you can produce the wrong thing so much faster. My tools are robust and secure because they were specified before they were written. Which is also why I'd be careful where AI goes: craft is the constraint, not the target.