Parallel Agents, Proven Patterns: Building Production Multi-Agent AI Systems

Multi-agent AI systems typically fail when built on hierarchical orchestration models that create bottlenecks and coordination overhead. This wave-based architecture demonstrates how independent agents working in parallel—coordinated through structured protocols like PAX—can scale to production systems without the sequential delays plaguing traditional designs. Understanding this architecture is critical for anyone building AI systems where specialized agents must collaborate efficiently.