We're in the midst of another phase shift from agents to factories as focus moves from busyness (token usage) to outcomes and ROI across organizations. Deploying agents to tokenmaxx and then setting individual token budgets may improve productivity, but it does not necessarily improve outcomes at scale. 100x'ing an enterprise is not the same as 100x'ing an individual. Coordinated agentic systems with efficient resource allocation and clear measurement of outcomes are needed to unlock the full value of AI. Underlying this is a set of closed loops so the system continuously learns and self-optimizes. Human context and governance will only be more crucial as organizations build their software factory. Good judgement and honing one's craft are becoming even more valuable as the way we work transforms.