Building Agents at Scale: Lessons from the Front Lines With Gary Stafford

In this episode of AI Explained, host Will Pong interviews Gary Stafford, Principal Solutions Architect at AWS Trans, about building AI agents at scale. They discuss how enterprises should decide when to use an agentic approach, the importance of understanding the problem before applying AI, and the differences between Gen-AI and agentic systems. Gary shares use cases for agentic technology, including code development, back-office automation, and customer-facing products. The conversation covers the challenges and benefits of multi-agent systems, the role of standards like MCP and open telemetry, and the importance of testing and observability in agentic systems. Gary also provides advice on scaling AI solutions and ensuring safety and compliance.