I once saw a multi-agent system designed by an LLM that looked beautiful on paper. The designer used phrases like "agents work together seamlessly," "data flows naturally between them," and "the system is fault tolerant by design."
Three days later, Agent B crashed during a period of high latency. Because there were no defined handoff protocols or failure boundaries, the entire pipeline froze for 14 hours. No one knew why. There was no tracing to show which agent hung, no circuit breaker to trip when the dependency failed, and no alert that triggered because "we can just check the logs."
That isn't orchestration. That is hope with a tech stack.
As we move from single-prompt LLM calls to complex, multi-agent workflows, we are making a massive architectural mistake: we are letting the LLM define the architecture without enforcing the structural invariants required for production software. If you wouldn't deploy a microservices architecture in Python where every service communicates via "natural" un-typed interfaces and "seamlessly" shares memory, why are you doing it with agents?
This is precisely why I built the Multi-Agent Orchestrator Prover. It isn't a generator. It doesn't write code for you. Instead, it acts as an architectural auditor. It forces the LLM to move past vague adjectives and commit to five specific engineering axes: Roles, Handoffs, Failures, Consensus, and Observability.
