Agent Expansion refers to scaling an AI system's capabilities by integrating specialized sub-agents for distinct tasks. It works by deploying modular agents that collaborate to handle complex workflows, enhancing efficiency. Developers and enterprises benefit through improved automation and adaptability, enabling tailored solutions for diverse industries without overhauling core architectures.
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