Reads the brief. Finds the argument. Sets the voice the team builds from.
Every token, every motion curve, every layout decision. Validated and held.
Living spec to running code — held to the design, with drift caught rather than tolerated.
A second model that doesn't share the first one's assumptions. Reads the work cold and says what's wrong with it before anything ships.
Describing where AI design is headed is the easy part. The discipline is in the decisions you make when the first approach doesn’t work — under a real brief, a real constraint, a real person with expectations.
I’ve built the longer version of this — not because I had to, but because I wanted to know what it actually takes. The answer is: a method. Not a model.
“The method is what makes the product repeatable.”
Same team, start to finish — from the first alignment conversation to the last commit.
A working codebase built to specification, with every decision traceable back to a brief. A multi-role AI experience running in two worlds. It handles the same question asked four different ways and produces a consistent result — because consistency was designed in from the start.
My role is the one no AI fills: the person who knows when a pass is good enough to ship, when it needs to go back, and why. The working discipline is mine. The team executes it.