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Prompt Engineering - Stop Conditions

Stop Conditions — Know When to Stop

A stop condition is a rule that tells AI when to stop. Without one, AI can loop forever — an infinite loop that wastes time and money.

Stop conditions + retry limits + output limits = controlled execution.

In simple words: Smart AI knows when to stop. Control your process, control your results.

The cleaning-room example:

  • Without a rule → you clean forever.
  • With the rule "clean for 30 minutes, stop when the room is clean" → you finish.

AI needs the same kind of boundary.

Without ControlWith Control
Infinite loopSafe stop
High costControlled cost
No limitsClear limits
UnstableStable
Example01
Prompt PreviewChatGPT-style
Goal: Create a marketing plan Rules: - Stop when the plan is ready - Max 3 improvement cycles - Retry a tool max 2 times - Output in 10 bullet points only Process: Repeat: Reason the next step Act (draft / improve) Until the stop condition is reached If the max limit is reached: Return the best available output
Copy the prompt and paste it into ChatGPT, Gemini, or Claude to try it.
📝 Key Takeaways
  • A stop condition tells AI when to stop — without one it can loop forever.
  • An infinite loop wastes time and money.
  • Retry limits + output limits + stop conditions = controlled execution.
  • The cleaning rule: "clean for 30 minutes, stop when the room is clean".
  • If the max limit is reached, return the best available output.
  • Smart AI knows when to stop.

🧠 Test Your Knowledge

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