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Multi-agent AI systems promise to solve complex problems, but they're failing in real-world applications. Here's why. In this video, I break down the 5 critical failure points: 1) Agent Orchestration 2) Memory Management 3) Work Assignment Problems by Lead agent 4) Information isolation vs sharing 5) Are Lead Agents Capable to Assess? Multi-agent systems aren't just scaled-up single agents, they have unique failure modes most people don't see coming. #MultiAgentSystems #AI #MachineLearning #AIFailures #TechEducation