DigiNews

Summary

This blog post surveys three architecture patterns for coordinating multiple AI agents—Orchestrator-Worker, Blackboard, and Pipeline—and discusses the failure modes that appear in production beyond single-agent demos. It highlights the importance of guardrails (delegation depth limits, task budgets, and defined human escalation) to prevent runtime issues like infinite loops, escalating costs, and race conditions. The piece offers guidance on when to apply each pattern and underscores that multi-agent systems require careful evaluation and robust safeguards to be reliable at scale.