CACA Agent's collaborative approach can be applied to other AI technologies by serving as a model for developing AI systems that rely on multiple specialized capabilities working together. This concept can be extended to various domains where complex tasks require a combination of different functionalities. For instance, in autonomous vehicles, integrating perception, decision-making, and control systems in a collaborative manner similar to CACA Agent could enhance overall performance and adaptability. By breaking down the AI system into distinct components with specific roles and interactions, like Planning Capability and Tool Capability in CACA Agent, developers can create more robust and flexible solutions across diverse applications.