In this episode, Elena Vakeva shares her raw reflections from her AI lab in Panama on why making AI agents collaborate effectively remains surprisingly difficult. As a solo founder relying heavily on AI augmentation, she explores the persistent friction she encounters when attempting to build systems where multiple agents can truly work together. Elena discusses the gap between the promise of autonomous AI teams and the practical reality she faces daily. She examines the technical, architectural, and conceptual barriers that continue to make agent coordination one of the hardest challenges in her workflow.