10d • general chat
🚨 The 3 Checks I Make Before Trusting Any AI Workflow
One of the biggest mistakes I see in AI for business:
People assume a good output means the system is working well.
Not always.
Sometimes AI gives a polished answer built on missing context, weak assumptions or incomplete data.
That’s why before trusting any AI workflow, I check 3 things:
- Context
- Did I give it the right information?
- Verification
Can I check the output against something reliable?
Guardrails
What should it never assume, do or share?
A simple prompt that helps:
“Before completing this task, identify missing information, key assumptions and any risks in your answer. Separate verified facts from estimates. If something critical is missing, ask before proceeding.”
That one change can save a lot of bad decisions.
Curious how others here think about this:
What breaks AI workflows most often in business?
A) bad inputs
B) weak prompts
C) poor verification
D) no guardrails
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3 comments
🚨 The 3 Checks I Make Before Trusting Any AI Workflow
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