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.

Practice this safely

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.

Ask AI to explain stopping condition in plain language, then underline anything that sounds uncertain or too broad.
Give it one detail from "Giving Your AI Agent a Clear Stopping Condition (or Watch It Loop Forever)" and ask for two possible next steps plus one reason each step might be wrong.
Check loop against a trusted source, teacher, adult, expert, or original document before you use it.

End-of-lesson check

8 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 main idea of "Giving Your AI Agent a Clear Stopping Condition (or Watch It Loop Forever)"?
1. Without a 'done when X' rule, agents loop until they hit the token limit. Always set the exit.
2. Use AI as the final authority for the whole decision
3. Avoid checking the answer once it sounds polished
4. Focus only on speed instead of judgment
Which concept is most central to "Giving Your AI Agent a Clear Stopping Condition (or Watch It Loop Forever)"?
1. loop
2. stopping condition
3. budget
4. exit
Which use of AI fits this topic best?
1. Let the AI decide what matters without your review
2. Use the answer before checking whether it fits the situation
3. You set max_steps=10 in a research agent so it can't keep googling forever.
4. Use the first answer without checking it
What should a careful learner remember about "The rule"?
1. Every agent needs four exits: success, max steps, max tokens, and human escape. No exceptions.
2. Skip the context so the tool can guess faster
3. Treat the output as private even after sharing it online
4. Use the answer without checking the source
You want to use AI after this lesson. What is the safest next step?
1. Act immediately because the AI answer is written clearly
2. Use the AI answer as a draft, then check it against a reliable source.
3. Hide uncertainty so the final answer looks cleaner
4. Use private or sensitive details before checking permission
How should AI output about stopping condition be treated?
1. As proof that no other source is needed
2. As a replacement for context, consent, or expert review
3. As a draft or helper output that still needs human judgment and verification
4. As something that becomes correct when it sounds confident
Name one way to verify an AI answer about stopping condition.
Which action would help you apply "Giving Your AI Agent a Clear Stopping Condition (or Watch It Loop Forever)" responsibly?
1. Use the tool to avoid thinking through the tradeoff
2. Keep going even if the output conflicts with a trusted source
3. Use the first answer without checking it
4. Claude is told 'stop when the file passes the test suite' and it knows when to quit.

← Back to interactive lesson

Tendril · Builders · Agentic AI

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.

Practice this safely

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.

Ask AI to explain stopping condition in plain language, then underline anything that sounds uncertain or too broad.
Give it one detail from "Giving Your AI Agent a Clear Stopping Condition (or Watch It Loop Forever)" and ask for two possible next steps plus one reason each step might be wrong.
Check loop against a trusted source, teacher, adult, expert, or original document before you use it.

End-of-lesson check

8 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 main idea of "Giving Your AI Agent a Clear Stopping Condition (or Watch It Loop Forever)"?
1. Without a 'done when X' rule, agents loop until they hit the token limit. Always set the exit.
2. Use AI as the final authority for the whole decision
3. Avoid checking the answer once it sounds polished
4. Focus only on speed instead of judgment
Which concept is most central to "Giving Your AI Agent a Clear Stopping Condition (or Watch It Loop Forever)"?
1. loop
2. stopping condition
3. budget
4. exit
Which use of AI fits this topic best?
1. Let the AI decide what matters without your review
2. Use the answer before checking whether it fits the situation
3. You set max_steps=10 in a research agent so it can't keep googling forever.
4. Use the first answer without checking it
What should a careful learner remember about "The rule"?
1. Every agent needs four exits: success, max steps, max tokens, and human escape. No exceptions.
2. Skip the context so the tool can guess faster
3. Treat the output as private even after sharing it online
4. Use the answer without checking the source
You want to use AI after this lesson. What is the safest next step?
1. Act immediately because the AI answer is written clearly
2. Use the AI answer as a draft, then check it against a reliable source.
3. Hide uncertainty so the final answer looks cleaner
4. Use private or sensitive details before checking permission
How should AI output about stopping condition be treated?
1. As proof that no other source is needed
2. As a replacement for context, consent, or expert review
3. As a draft or helper output that still needs human judgment and verification
4. As something that becomes correct when it sounds confident
Name one way to verify an AI answer about stopping condition.
Which action would help you apply "Giving Your AI Agent a Clear Stopping Condition (or Watch It Loop Forever)" responsibly?
1. Use the tool to avoid thinking through the tradeoff
2. Keep going even if the output conflicts with a trusted source
3. Use the first answer without checking it
4. Claude is told 'stop when the file passes the test suite' and it knows when to quit.

← Back to interactive lesson