AI Agent Architecture Patterns: From Prototype To Production

The gap between prototypes and production-ready systems usually comes down to how you structure the underlying logic. While it’s natural to focus on the specific code used to trigger a model, the real engineering challenge is selecting the right AI agent architecture patterns to maintain stability under unpredictable, real-world inputs.A strong framework prioritizes how control flows between components, how tasks execute, and how failures are contained. Instead of reacting to individual model responses, you manage how data flows and where decisions happen.