Breaking Down the Agentic Loop: A Framework for AI Agent Design

Bobby Tables dissects how AI agents work by mapping three nested feedback loops—perception, decision, and action—that form the core of agentic systems. The breakdown clarifies a pattern that matters for makers building AI tools: understanding these loops helps avoid overfitting agents to narrow tasks and instead design systems that can adapt across domains.