Stop building AI products from the solution. Start from the problem.

The pattern Teams get access to AI and the first question is always the same: "We have GPT-4/Claude, what can we build?" That question is the problem. A poorly defined problem fed into an AI produces a well-crafted wrong answer — at scale, in minutes. That's not progress. That's acceleration in the wrong direction. The methodology I built Problem-Driven AI , an open methodology that structures the work before the build. The core idea: the bottleneck was never execution. It was always understanding the problem deeply enough to deserve a solution. It's organized in 5 phases with quality gates. You can't move forward until the current phase is complete: 1. Problem Phase Define and validate the real problem with the people who live it every day. If the team can't agree on the problem, nothing gets built. 2. Solution Phase Align product, engineering, and business on a solution that deserves to be built. Not the first idea — the right one. 3. Context Phase Build the structured knowledge the