Agent loop
The iterative process by which an AI agent plans, acts, observes the result, and decides the next action repeating until the goal is achieved. Claude AI uses agent loops to complete multi-step tasks like researching a contact and drafting a personalised email.
Expert insight
An AI agent loop (the model deciding which tool to call, observing the result, deciding the next action) needs an explicit maximum iteration count, without one, an agent that gets stuck in an unproductive cycle, repeatedly calling the same tool with slightly different inputs, will keep running (and accumulating cost) until something else stops it.
In a real workflow
An AI agent decides an action, calls a tool, reads the result and decides the next action until the task is done or a step limit is reached.
Common mistakes
- No maximum number of steps.
- No logging of each decision.
Complexity level
Technical term used in production automation systems.
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