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An agent loop is when an agent does the same thing over and over because it did not realize the task was done..
An agent loop is when an agent does the same thing over and over because it did not realize the task was done.
Famous case: an agent that was supposed to send 'one' email sent 1,000 because each retry felt like a 'first try' to it.
The big idea: Agent loops can blow through your budget fast. Always set retry limits.
Try this with a school, hobby, or family example where the stakes are low. Use the AI output as a draft you can question, not as the final answer.
8 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-builders-agentic-agent-loops
What is the main idea of "Agent Loops And Why They Are Risky"?
Which concept is most central to "Agent Loops And Why They Are Risky"?
Which use of AI fits this topic best?
What should a careful learner remember about "How loops happen"?
You want to use AI after this lesson. What is the safest next step?
How should AI output about runaway be treated?
Name one way to verify an AI answer about runaway.
Which action would help you apply "Agent Loops And Why They Are Risky" responsibly?