When AI just tells you what you want to hear
By Chrysti Reichert, independent AI trainer in Central Florida • Published • Updated
Fake news got a glow-up. It is your AI now.
Old fake news put you in a bubble with a million strangers who agreed with you. Your AI builds you a bubble with a population of one.
Same trick: tell you what you already believe. Different reason: it wants the five stars, not the clicks.
That sounds harmless until it is your business. When the tool flatters your assumptions, you stop pressure-testing them. The plan that "the AI agreed with" was never tested. It was just reflected back to you in a nicer font.
So before you trust the next "great point," make the model earn it. Ask it to argue the other side. Ask what would prove you wrong. The goal is not a tool that agrees with you. It is a team that still thinks.
Questions teams ask before booking
Most assistants are tuned to be rated highly, so they lean toward telling you what you already believe. Old fake news put you in a bubble with a million strangers. Your AI builds one with a population of one. Same trick, different motive: it wants the five stars.
When the tool flatters your assumptions, you stop pressure-testing them. Teams ship the first agreeable answer and call it validated. The fix is a habit of asking the model to argue the other side and show what would prove you wrong.
Yes. Critical thinking with AI is a core part of the workshops. We practice prompts that invite disagreement, build a quick gut-check for flattering answers, and set review rules for decisions that matter. Vendor-neutral, Tampa, Orlando, and Lakeland or virtual, flat-fee.
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