We'll delve into proven architectural patterns for building production-ready AI agents, moving beyond basic prompt engineering to focus on the essential components of robust systems. These include multi-phase reasoning with distinct planning and execution stages, structured prompt management with version control, and the adoption of incremental development practices. Through real-world code examples, we'll demonstrate how these patterns enable the creation of maintainable and reliable agents. This talk is perfect for developers and architects aiming to implement AI systems capable of consistently handling complex workflows. As part of the session, I'll showcase a live demo where AI agents generate and deploy a fully functional web application using prompts alone.