Summary

AI agents falter due to 20th-century work patterns trapped in opaque workflows, preventing true leverage. The key takeaway is that organizations must evolve their operating environments and teach systems to work in primitives, not just prompting, to unlock agent potential, as demonstrated by Cursor's migration from a headless CMS to raw code. This shift allows for reliable collaboration between humans and agents, enabling acceleration and genuine business impact beyond basic conversational capabilities.