AI agents can be effectively built as streaming SQL queries, leveraging platforms like Apache Flink for enhanced consistency, scalability, and developer experience. By transforming the traditional approach of creating microservices into a model that utilizes SQL, developers can create intelligent systems that interact with large language models (LLMs) for tasks such as summarizing documents or responding to real-time events. This method opens new avenues for developing autonomous, event-driven AI agents that can operate efficiently in various applications.