In this episode, Matt Wyman speaks with Ajantha Suriyanarayanan, founder of Melo (formerly Mental Load AI), about one of the most overlooked challenges in modern life: the invisible mental load carried by women and mothers. Drawing on her background in behavioral science, product strategy, and her own experience as a working parent, Ajantha explains how Melo acts as a "family intelligence OS" that helps families manage the countless unseen tasks, decisions, and reminders that keep households running. The conversation explores the intersection of AI, emotional intelligence, and human-centered design, as well as the broader societal impact of mental load on careers, relationships, and workforce participation. Ajantha also shares her vision for AI as a trusted thought partner that can help people reclaim time, reduce overwhelm, and create space for what matters most.

In this episode of Agent Odyssey, Matt Wyman sits down with Adrien Schmidt, founder of Rozz, to explore the emerging world of Generative Engine Optimization (GEO) and how companies can influence how AI assistants like ChatGPT, Claude, and Perplexity understand and reference their products. Adrien shares insights from Rozz’s real-world experiments tracking AI crawlers, citation bots, and agent behavior, revealing what actually works when creating content for AI consumption. The conversation dives into the future of agent-first web experiences, personalized interfaces generated on demand, and the new skills organizations will need as AI becomes the primary intermediary between users and information.

In this episode, Matt Wyman sits down with Henry Poydar, founder of Run Steady, to explore one of the most important challenges in enterprise AI adoption: trust. Henry shares his perspective on the shift from "single-player" AI assistants to autonomous, multiplayer agents that operate as members of a team with real jobs and responsibilities. The conversation dives into autonomy, accountability, observability, and the balance between trust and performance, drawing parallels between human teamwork and agent collaboration. Together, they discuss how concepts like intent declaration, feedback loops, stand-ups, and organizational context may become the foundation for managing AI teammates, and what new skills leaders and teams will need to thrive in an AI-augmented workplace.