The Artificial Age Score (AAS) now functions as a cycle-level tool to track structural aging in AI systems. This framework uses a redundancy-aware logarithmic penalty to evaluate component consistency over repeated interactions. It provides a mathematical basis for determining if a system can persist indefinitely. Researchers can now quantify long-term stability beyond one-shot outputs.