Giving Your AI Agent a Clear Stopping Condition (or Watch It Loop Forever)
Without a 'done when X' rule, agents loop until they hit the token limit. Always set the exit.
7 min · Reviewed 2026
The big idea
An agent without a stopping condition is just an expensive infinite loop. Decide upfront: how many steps, what counts as 'done', and what happens if it can't finish.
Some examples
You set max_steps=10 in a research agent so it can't keep googling forever.
Claude is told 'stop when the file passes the test suite' and it knows when to quit.
An agent has a token budget of 50k and gracefully summarizes what it found when it runs out.
ChatGPT given 'stop when you see a 200 response' exits as soon as the API call succeeds.
Try it!
Add a max_steps and a 'done when' condition to any agent loop you've written. Test that both actually trigger.
End-of-lesson check
15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-builders-agentic-ai-stopping-condition-r9a8-teen
What is the core idea behind "Giving Your AI Agent a Clear Stopping Condition (or Watch It Loop Forever)"?
Without a 'done when X' rule, agents loop until they hit the token limit. Always set the exit.
Coordinate without an externally enforced protocol
You can't put on socks AFTER your shoes — agents learn order matters.
Copilot Agent asks before installing a dependency — you spot a typo'd package na…
Which term best describes a foundational idea in "Giving Your AI Agent a Clear Stopping Condition (or Watch It Loop Forever)"?
loop
stopping condition
budget
exit
A learner studying Giving Your AI Agent a Clear Stopping Condition (or Watch It Loop Forever) would need to understand which concept?
stopping condition
budget
loop
exit
Which of these is directly relevant to Giving Your AI Agent a Clear Stopping Condition (or Watch It Loop Forever)?
stopping condition
loop
exit
budget
Which of the following is a key point about Giving Your AI Agent a Clear Stopping Condition (or Watch It Loop Forever)?
You set max_steps=10 in a research agent so it can't keep googling forever.
Claude is told 'stop when the file passes the test suite' and it knows when to quit.
An agent has a token budget of 50k and gracefully summarizes what it found when it runs out.
ChatGPT given 'stop when you see a 200 response' exits as soon as the API call succeeds.
Which of these does NOT belong in a discussion of Giving Your AI Agent a Clear Stopping Condition (or Watch It Loop Forever)?
Claude is told 'stop when the file passes the test suite' and it knows when to quit.
An agent has a token budget of 50k and gracefully summarizes what it found when it runs out.
Coordinate without an externally enforced protocol
You set max_steps=10 in a research agent so it can't keep googling forever.
What is the key insight about "The rule" in the context of Giving Your AI Agent a Clear Stopping Condition (or Watch It Loop Forever)?
Coordinate without an externally enforced protocol
You can't put on socks AFTER your shoes — agents learn order matters.
Every agent needs four exits: success, max steps, max tokens, and human escape. No exceptions.
Copilot Agent asks before installing a dependency — you spot a typo'd package na…
Which statement accurately describes an aspect of Giving Your AI Agent a Clear Stopping Condition (or Watch It Loop Forever)?
Coordinate without an externally enforced protocol
You can't put on socks AFTER your shoes — agents learn order matters.
Copilot Agent asks before installing a dependency — you spot a typo'd package na…
An agent without a stopping condition is just an expensive infinite loop.
What does working with Giving Your AI Agent a Clear Stopping Condition (or Watch It Loop Forever) typically involve?
Add a max_steps and a 'done when' condition to any agent loop you've written. Test that both actually trigger.
Coordinate without an externally enforced protocol
You can't put on socks AFTER your shoes — agents learn order matters.
Copilot Agent asks before installing a dependency — you spot a typo'd package na…
Which best describes the scope of "Giving Your AI Agent a Clear Stopping Condition (or Watch It Loop Forever)"?
It is unrelated to agentic workflows
It focuses on Without a 'done when X' rule, agents loop until they hit the token limit. Always set the exit.
It applies only to the opposite beginner tier
It was deprecated in 2024 and no longer relevant
Which section heading best belongs in a lesson about Giving Your AI Agent a Clear Stopping Condition (or Watch It Loop Forever)?
Coordinate without an externally enforced protocol
You can't put on socks AFTER your shoes — agents learn order matters.
Some examples
Copilot Agent asks before installing a dependency — you spot a typo'd package na…
Which section heading best belongs in a lesson about Giving Your AI Agent a Clear Stopping Condition (or Watch It Loop Forever)?
Coordinate without an externally enforced protocol
You can't put on socks AFTER your shoes — agents learn order matters.
Copilot Agent asks before installing a dependency — you spot a typo'd package na…
Try it!
Which of the following is a concept covered in Giving Your AI Agent a Clear Stopping Condition (or Watch It Loop Forever)?
stopping condition
loop
budget
exit
Which of the following is a concept covered in Giving Your AI Agent a Clear Stopping Condition (or Watch It Loop Forever)?
stopping condition
loop
budget
exit
Which of the following is a concept covered in Giving Your AI Agent a Clear Stopping Condition (or Watch It Loop Forever)?