Architecting Agentic AI

Autonomous AI agents are moving beyond simple chat interfaces and experimental demos. But how should we actually design them for real-world systems?In this episode of Intelligent Insights, we explore the engineering logic behind agentic AI architecture. The episode introduces a two-dimensional framework for understanding AI agents based on both their cognitive function and execution topology. Instead of looking only at how data flows through an agent system, this approach helps distinguish agents by what they are thinking, planning, deciding, and coordinating.We break down key design patterns such as ReAct, Plan-and-Execute, and Multi-Agent Orchestration, while also discussing practical production concerns like context engineering, memory, reflection, reliability, cost control, and governance.This episode is for developers, architects, product builders, and AI leaders who want to move from agent prototypes to scalable, predictable, and production-ready agentic systems.