The story of generative AI does not end with breakthroughs in modeling or advances in evaluation. The true test of these systems begins when they are deployed in production environments at scale. A research prototype can impress with benchmarks, demos, and controlled experiments. A production system, by contrast, must operate reliably, safely, and continuously in dynamic contexts. It must integrate into pipelines, adapt to changing requirements, comply with legal and ethical standards, and evolve alongside the organizations and societies that depend on it.