Field notes from the AI agent conference

At a recent AI Agent conference in New York, the focus shifted from the potential of AI to the practical challenges of integrating agents into real-world business environments. Key issues discussed included the need for secure and controlled environments for agents to operate, ensuring they have the right level of access without compromising governance, and the importance of observability to track agent actions and failures. The conversation highlighted the evolving concerns around security, cost, and developer enablement, stressing the need for API catalogs to guide agents in navigating internal systems. Additionally, the conference underscored the importance of structured work as a starting point for AI applications, noting that bounded tasks like compliance checks are more manageable and reliable. The discussion reflected a broader industry shift towards practical considerations of how to effectively incorporate AI agents into existing systems, moving beyond mere excitement over their capabilities.