What is an Agentic Loop? — Plain-Language AI Definition

What is an Agentic Loop?

An agentic loop is the core execution pattern behind AI agents. Instead of producing a single response, the model enters a cycle: it calls a tool, reads the result, decides what to do next, and repeats until the task is finished.

Why It Matters

Without a loop, an AI system is limited to one-shot responses. The agentic loop is what transforms a language model into an operator that can research, verify, and act across multiple steps.

How It Works

1. Send a message to the model
2. The model returns a response with a stop_reason
3. If stop_reason is tool_use, extract the tool call, execute it, and send the result back
4. If stop_reason is end_turn, the task is complete
5. Repeat until done or a maximum iteration limit is reached

Key Takeaway

The agentic loop is the heartbeat of every AI agent. Master the loop and you control how the agent thinks, acts, and stops.