Every enterprise AI pitch starts the same way: modernize the stack, add APIs, escape the legacy mess. Amazon's AGI Lab is running the opposite play. Its researchers build reinforcement learning gyms that faithfully reproduce decades-old software, quirks included. Modal windows appearing late. Fields rejecting input until some other value saves first. Forms silently resetting midflow.
The lab treats these behaviors as the real semantics of the system. Train an agent inside that friction long enough, and you get a synthetic API over infrastructure nobody ever designed to be programmatic.