A student submitted his AI chatbot project for peer review. He thought it was done. It worked, it looked decent, he was proud of it. Then his reviewer pointed out something he'd completely missed: every time a user asked a question the chatbot couldn't answer, it made something up and stated it confidently. His chatbot was a fluent liar.

One piece of feedback led him to add a confidence check. Now the chatbot says "I'm not sure about that. Let me point you to someone who can help" instead of fabricating answers. That single change made the product genuinely trustworthy.

Great feedback doesn't just fix bugs; it reveals blind spots you didn't know you had. The best builders actively seek it out, knowing their work gets better every time someone else looks at it with fresh eyes.