A well-designed global framework serves as the overarching structure for an agent's behavior, encompassing user routing logic, state management, error handling, global context management, security, and compliance. It enables the agent to navigate different states in a single session and provides a foundation for robust back-end integrations, data encryption, and context maintenance. A local framework is responsible for generating context-aware responses within defined conversation states or skills, managing execution, content retrieval and processing, user interaction models, and contextual adaptation. The integration framework connects the agent with external services, enabling automatic and flexible task completion. An analytics and data framework allows for secure data collection and storage, feedback loop incorporation, and iterative improvement of the agents. Finally, the interaction framework informs a conversation by capturing the essence of the brand's style, tone, and techniques, ensuring a natural flow and user experience. By designing each component thoughtfully, developers can build strong, functional, and flexible agents that delight users.