Section 2
Build the Agent Factory
An AI agent is a system that can interpret tasks, break them into steps, use external tools, and act in the real world. Click the parts in any order to inspect the core components and how they reinforce each other.
Why This Matters
Unlike traditional software, agent systems do not operate through a single decision point. They use interacting loops of planning, memory, tool use, and reflection. Because of this structure, one wrong assumption can propagate across the system while the agent continues acting with confidence.
This model follows the same loop used in common agent frameworks: Plan → Act (Tools) → Store (Memory) → Reflect → Update → Repeat.