The article discusses the concept of agentic workflows in building intelligent systems, where AI agents interact with external tools and APIs to execute tasks autonomously. By combining large language models with a workflow engine like Orkes Conductor, resilient multi-step systems can be designed to bridge reasoning with action. An example of an agentic interview application is provided, showcasing how tools like OpenAI, Google Docs API, SendGrid, and Orkes Conductor can be integrated to automate a technical interview process from candidate intake to evaluation and reporting. The tutorial outlines steps to set up and run the application, emphasizing the orchestration of various components for a seamless workflow.