AI agent development is booming. Ninety percent of enterprises are actively adopting AI agents, according to Kong, and Gartner predicts that one-third of enterprise software applications will include agentic AI by 2028. AI agents are autonomous assistants that can think, plan and execute actions. Although their behavior is novel, they resemble any production software application in one important way: They create a spectrum of metadata behind the scenes. “AI agents produce very rich metadata in each step they take while solving a task or interacting with a user,” Chris Glaze, principal research scientist at Snorkel AI, a company focused on data systems for agentic AI, told The New Stack. These steps, he added, provide a window into an agent’s reasoning process.

Full report : If you’re building AI agents, you’re probably sitting on a lot of untapped data. Experts share how to put it to use.