In-Short
Advice Is Not Always Action
AI can give a useful explanation and still leave you stuck. You get options, pros, cons, risks, and context. But the practical question remains: what should you do when the situation changes? A decision rule turns the answer into something you can reuse without rereading the whole response.
Ask For If This, Then That
After AI gives advice, add this line: End with one decision rule: if X, do Y; if not, do Z. That small format request forces the answer to become sharper. It makes AI name the condition, the choice, and the fallback instead of floating around the topic.
It Works Best After Options
This is especially useful after comparison work. First ask AI for options, trade-offs, or a short recommendation. Then ask for the decision rule. The rule should not replace judgment, but it makes the judgment easier. If the answer mixes evidence and recommendation too much, combine this with Split AI Answers Into Facts, Assumptions, and Recommendations.
Bad Rules Reveal Bad Thinking
A weak decision rule is useful too. If AI gives you a vague rule like 'choose the best option for your goals', the answer was not ready. Ask it to define the real condition: budget, deadline, risk, missing input, owner, or quality bar. A decision rule exposes whether the advice is actually operational.
Use It Before The Next Action
The decision rule answers how to choose. The next action answers what to do now. Use both when the work matters: first ask for the rule, then ask for next action, owner, input needed, and first check. That keeps AI from jumping into tasks before the decision logic is clear.
See for Yourself
Related Example
Prompt Script
Copy / paste
I need to decide whether this task is ready for AI: [describe the task]. Give me one decision rule in this format: If X, do Y. If not, do Z. Then return only: next action, owner, input needed, and first check.
