How to Solve the Right Problem in the Age of Agentic AI

Before AI, implementation capacity was scarce. A bad requirement might waste a few engineers' time. With AI, that capacity expands dramatically. A bad requirement can now produce hundreds of wrong changes very cheaply. The bottleneck therefore moves upstream: towards problem definition, context, constraints, decisions and validation. If the direction is wrong, all that extra speed just gets you to the wrong place ten times faster. If the direction is wrong, all that extra speed just gets you to the wrong place ten times faster. It's a fact that you're going to have to address uncertainty surrounding a project at one point. Why not do it when change is still cheap? It's much cheaper to change a blueprint than it is to rebuild whole parts of a building. This article's goal is to provide you with the tools…