From Perfect Plans to Shipping: Why AI Projects Fail Before They Start

Developers often fall into the trap of over-preparing before diving into AI projects, only to discover their assumptions collapse when building starts. The author's three-day journey reveals that working code beats perfect plans every time—rapid iteration, real-world validation, and AI-assisted development cycles matter far more than meticulous upfront design. For teams tackling AI initiatives, the key takeaway is clear: move fast, test assumptions early, and refine through building rather than endless planning.