Every AI system looks brilliant until it meets the real world. Real customers ask messier questions. Real data shows up incomplete. Real systems have quirks nobody documented.
The AI projects with the most intelligent models are not the ones that truly succeed. Since they were tested in environments that truly mimicked reality, they are the ones designed to withstand contact with it. This is the idea behind environment parity, quietly separating enterprises scaling AI with confidence from those still explaining stalled pilots.