UX for Agentic AI
Greg Nudelman, Daria Kempka · 2025
This chapter provides an excellent example of what the UX of interacting with AI agents might look like. It uses an example of troubleshooting a problem on a system as an example of a complex flow involving a supervisor agent and some worker agents. The flow starts when a human operator receives an alert about a problem. They launch an investigation, and a team of semi-autonomous AI agents led by a supervisor agent help them find the root cause and make recommendations about how to fix the problem. There are many reasons why agentic flows are highly compelling and are a focus of so much AI development work today. Agents are effective and economical. While, for now, human-in-the-loop seems to be the norm for agentic workflows, agents show remarkable abilities to come up with hypotheses, gather evidence, and iterate the hypothesis as needed until they solve the problem.