I asked ChatGPT whether I should walk or drive to the car wash if I live 50 meters away.
It told me to walk.
Which sounds sensible, until you remember the point of going to a car wash is usually to wash the car.
Tiny example. Big problem.
AI does not always sound wrong when it is wrong. It often sounds polished, confident, and useful.
That is fine for low-stakes questions. It is not fine when you are asking about tax, legal wording, technical architecture, pricing, or anything that can cost real money if the answer is bad.
That is why I have been testing Cuey.
Cuey lets you compare the same prompt across models like ChatGPT, Claude, Gemini, and Grok.
In the walkthrough, I ask one technical question and get three different answers:
JSON
SQL
NoSQL
All three sound plausible.
Cuey makes the disagreement visible, then helps you inspect the reasoning, combine the useful parts, and escalate to stronger models when the answer actually matters.
That is the workflow I like:
Ask once.
Compare the answers.
Trust the reasoning, not the confidence.
I also cover Cuey’s memory feature, prompt library, and privacy-first setup, where prompts are routed through rather than stored for model training.
Watch the walkthrough here: https://youtu.be/bRyPV41YRS0
Try Cuey here: https://cuey.io/
(use code LAUNCH90 for 90 days Free)
Luke
