Multi-Agent Coordination

Majority voting among AI agents fails when they aren't truly independent.

How semantic failures spread through agent networks and why circuit breakers miss them.

Runtime enforcement, not prompts, can secure delegation chains between agents.

Discovery is infrastructure, not afterthought, in always-on agent systems.

MCP handles agent-to-tool access while A2A solves agent-to-agent coordination.

Agent credentials must stay separate so audit trails show which agent did what.

Production multi-agent systems hide cost across four separate problems that compound invisibly.

Structure matters more than model choice when frontier AI capabilities converge.