AI that creates real impact is rarely born from abstract ideas or flashy demos. It takes shape when builders start with clearly defined, real world problems and work within real constraints. This piece explores why structured problem statements are the true starting point of meaningful AI, how prototypes evolve from clarity rather than complexity, and why hackathons are becoming critical spaces for building AI that actually works.
