Toot (Train of Operadic Thought) is an advanced context capture system engineered to improve AI agent performance and continuity. It establishes 'Carton concept breadcrumbs' across interactions, enabling the systematic capture of successful patterns and positive feedback. By integrating a unique `user_said_i_did_a_good_job()` mechanism and an automatic feedback loop, Toot allows AI to reference past successes, set intentions for new tasks, and continuously learn and evolve its reasoning capabilities. It facilitates validated conceptual reasoning within a broader compound intelligence ecosystem, transforming architectural discussions into structured knowledge building.