I Assumed AI Models Mostly Agreed. I Was Wrong.

One thing I've learned from using AI more in my projects:

Never trust the first answer.

Recently I started comparing outputs from multiple AI models instead of relying on just one, and the differences can be pretty surprising. Sometimes they all agree. Sometimes one model catches something the others completely miss.

I actually noticed this while playing around with eye2.ai, which shows responses from different vision models side by side.

Made me wonder how many of my past decisions were based on whichever model happened to answer first.

Anyone else comparing models instead of sticking to a single one?