Agent Loop
Category: Agents“AY-jent loop”
The repeating cycle an agent runs: look at the situation, decide one action, do it, check the result, and go again.
Lesson #6: The Agentic Era: Agents That Do the Work →Measure, cut, check the fit, then measure again.
Cooking by taste: stir, taste, add salt, taste again until it's right.
Set the post, check level, tap it over, check level again before the concrete sets.
Send an outreach email, watch replies, adjust the wording, and send the next batch.
Knowing the loop tells you where to put limits, so an agent can't spin forever on your dime.
An agent loop is observe, act, check, repeat.
Describe one task you do in a loop and name the signal that tells you to stop.
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Related terms
Picked automatically from the same category and the ideas this term shares.
Hand-picked pair
The step where an AI decides the order of its actions before it starts working, and updates that order as things change.
Hand-picked pair
When an AI reviews its own work, spots weak spots or mistakes, and tries again before handing anything to you.
Hand-picked pair
AI that can take a goal, decide the steps on its own, and carry them out instead of only answering one question at a time.
Same category: Agents
An AI worker that has a specific job to do.
Same category: Agents
A repeatable chain of steps an AI agent runs end to end, where each step's result decides what it does next.
Same category: Agents
Passing a job — with its notes and context — from one agent to another, or to a person, without losing the thread.
See it in Python
Truth Code: Python lessons that use this idea in real code.