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Evaluating AI output before you trust it
How to actually evaluate AI output before you trust it
People ask me how I know when to trust what AI tells me.
Short answer: I don’t, not until I run it through three checks.
1. Does it sound like me?
- If AI rewrites your resume bullet and you wouldn’t say it out loud in an interview, cut it. The bullet has to survive the “tell me about this on your resume” question.
- If it feels too polished, too corporate, or full of words you don’t actually use, edit it down or scrap it.
2. Is the claim verifiable?
- AI will confidently tell you a company is known for something with no real source behind i
- Treat claims about companies, salaries, hiring practices, and industry trends as starting points, not final answers. Run them through Perplexity or a quick Google search before you repeat them in an interview.
3. Would I push back if a coworker said this?
- If a trusted coworker gave you the same advice or rewrite, would you accept it immediately?
- Or would you pause and say, “Hmm, not sure about that one”?
Bring that same energy to AI output. It’s a smart assistant, not an oracle.
Run every important output through these three checks before you use it, especially if you’re about to send it to a real person or say it in a real interview.
What’s the worst AI output you almost trusted?
Drop it below.
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Evaluating AI output before you trust it
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