KEY TAKEAWAYS: AI agent orchestration is the control layer for agentic workflows. It routes tasks, manages context, limits tools, records evidence, and decides when a person or deterministic rule must take over. Start with one agent and a measurable workflow. Add more agents only when specialization, parallel work, separate permissions, or review improves a known … Continue reading "AI Agent Orchestration: How Multi-Agent Workflows Work In Practice" The post AI Agent Orchestration: How Multi-Agent Workflows Work In Practice appeared first on Designveloper .