This podcast explores the evolution of AI from conversational interfaces to autonomous agents that execute tasks with minimal human intervention. The focus shifts from prompting to proactive problem-solving, especially in enterprise environments like IT support and CRM systems. As AI agents gain agency, software design must evolve to become machine-legible rather than human-first, enabling seamless interpretation and action. A new agent layer is emerging—one that translates user intent into real-world outcomes without relying on traditional workflows. While humans remain in the loop for high-stakes decisions, routine operations are increasingly handled end-to-end by AI. This transformation signals a fundamental rethinking of how software works: not as a tool to be operated, but as an active participant in getting work done.