The most dangerous thing about useful AI is that it sounds confident even when it is wrong. Learning to check output before using it is the difference between saving time and creating problems.
Checking your Ally's work is not rude or distrustful. It is how you stay in control.
1. Ask for Assumptions
Your Ally had to fill in gaps in your request. Knowing what it assumed lets you check whether those assumptions are correct.
Before I use this, tell me the key assumptions you made. Which parts of my request were unclear?
2. Ask for Sources (When Facts Matter)
AI models can combine real facts with plausible-sounding fiction. This question helps you see the boundary.
Which parts of this answer are based on known facts, and which parts are you generating? If there are facts, where do they come from?
3. Ask for Risks
Your Ally usually optimizes for "helpful." It does not always volunteer "here is how this could backfire." Asking directly changes that.
What could go wrong if I follow this advice? What are the risks, edge cases, or situations where this would not work?
4. Ask for a Second Opinion
This forces the Ally to consider the opposite view. It often reveals weaknesses the first answer missed.
If you were a cautious reviewer who disagreed with your own advice, what would you change or challenge?
Quick tip: Run all four checks on something low-stakes first — like the output from your Five Things To Try exercises. Once you are comfortable with the pattern, use it on anything important.
Common Mistake
Skipping checks because the output "looks good." A confident-sounding answer can hide missing context, incorrect assumptions, or made-up facts. The four checks take about 30 seconds total.
Next Step
Practice the four checks on a real task. Start with Five Things To Try With Your Ally Today and use the checks on whatever output you get. Or go back to How To Give Your Ally Better Context to improve your instructionss first.