Multi-Agent Systems & Workflow Orchestration: Why Solo Agents Fail to Scale

Modern AI systems are moving beyond single LLMs toward multi-agent architectures that coordinate specialized agents for reasoning, research, and automation at scale. In this webinar, we’ll explore how production-ready AI systems use orchestration layers, supervisor models, parallel execution, and iterative workflows to improve reliability, scalability, and performance. You’ll learn: • Why solo AI agents fail at scale • Core multi-agent design patterns • Supervisor–worker and writer–critic workflows • Parallel and recursive agent execution • Common orchestration and debugging challenges Live demos will include parallel research agents, writer–critic loops, and a full deep research agent workflow. Perfect for AI engineers, LLM developers, teams building RAG systems, and anyone interested in scalable AI architectures. #MultiAgentSystems #AgenticAI #LLM