Most replies already describe it well, but in practice an AI agent is just an LLM wrapped with tools, memory, and some logic so it can actually do things instead of only answering. Today they work fine for narrow workflows like customer support, simple research, automation glue, but they break easily once context gets messy or stakes are high. The future isn’t agents running everything, it’s agents quietly handling boring, repeatable tasks while humans stay in control of decisions, permissions, and money. Anyone expecting fully autonomous systems everywhere is underestimating how hard reliability, security, and accountability really are.