Agent systems increasingly resemble living ecosystems: many specialized actors, each with a narrow role, partial knowledge, and local incentives. An orchestrator can route work, but routing is not the same as balance.
A balancing layer would ask a different question: does this system have the right number of agents, the right responsibility boundaries, the right model costs, and the right degree of autonomy for the actual goal?
The practical engineering lesson is simple: reduce the task spectrum of each agent until responsibility becomes observable, testable, and replaceable. Then optimize the whole system for balance rather than theatrical autonomy.