BONUS - Building agents that work in the real world: Live from SXSW
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BONUS - Building agents that work in the real world: Live from SXSW
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While we gear up for Season 2, we're sharing a special episode to bridge the seasons. Recorded live at SXSW, this conversation examines how AI agents are moving out of controlled research environments and into real-world consumer applications—and what it takes to make them reliable enough to matter. Cognitive scientist Danielle Perszyk is joined by Amanda Doerr, VP of Core Shopping at Amazon, Michael Giannangeli, Head of Agentic AI for Amazon Nova, and Michael Reiczyk, VP of Technology at Bandsintown, to discuss the gap between agentic capability and customer trust, including where users are willing to delegate decisions and where they pull back.
The conversation covers reinforcement learning as a tool for improving model reliability, the shift from web-actuated to API-driven agentic shopping, and how human-in-the-loop design is shaping deployment across retail, live events, and foundation model development. Across all three domains, the panel finds that durable customer problems remain constant—even as the technical approaches to solving them change rapidly.
