The Agent Loop
The cycle an agent runs: think, act, observe, repeat, adjusting each step until the goal is met.
This simple loop is where all the apparent intelligence of an agent comes from.
Frequently asked questions
What actually makes an AI agent seem smart?
Most of the apparent intelligence comes from the loop of think, act, observe, and repeat, not from any single clever answer. By checking the result of each step and adjusting, the agent works its way toward a goal instead of guessing once.
How is an agent loop different from a normal chatbot reply?
A chatbot answers once and stops, while an agent keeps cycling: it takes an action, sees what happened, and decides the next move. That repeat step is what lets it handle multi-step jobs like booking or research.
What can go wrong in an agent loop?
If the agent misreads what it observed, it can take the wrong next action and drift off course, which is why guardrails and human review matter. A good loop also needs a clear stopping point so it does not run in circles.
New to all this? Start with what an AI agent really is, browse the full glossary, or explore the learning hub.
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