Mixed Control

Enables agents to address diverse goals driven by user needs and builder objectives, fostering dynamic and goal-oriented interactions.

Task Composition

Breaks down complex real-world tasks into modular, reusable components managed by individual workers, promoting efficiency and scalability.

Human Intervention

Integrates human oversight and enables interactive refinement, ensuring critical decisions are accurate and user preferences are prioritized.

Continual Learning

Allows agents to evolve and improve by learning from interactions, ensuring sustained relevance and effectiveness in dynamic environments.