Agentic AI Design Patterns: From Architecture to Production

Building a strong large language model (LLM) prototype is straightforward, but maintaining its stability in production presents significant challenges. Engineers often see their early builds fail when faced with messy real-world API schemas or unexpected data changes. To create robust automation, it's essential to move beyond basic prompt engineering and adopt agentic AI design patterns. This involves implementing an active execution loop that allows the model to evaluate goals, select external tools, and adjust plans based on actual outcomes.