Building a multi-agent AI system like Wizard Ecosystem revealed unexpected challenges such as lack of natural cooperation among agents, difficulty in orchestrating tasks, and issues with persistent memory. These problems highlight that effective multi-agent systems require robust orchestration logic, strict state management, and careful control over agent interactions rather than relying solely on prompt engineering or model quality.
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