In this article, you will learn the seven architectural components that separate a production-grade agentic AI system from a demo script, and how each one fits into the agent’s core feedback loop.
Topics we will cover include:
What each of the seven components — perception, memory, reasoning and planning, tool execution, orchestration, guardrails, and observability — is specifically responsible for.
Where each component tends to break in real systems, and why that component must be kept separate from the others.
Focused, runnable Python code illustrating the responsibility of each component in isolation.
