I realized I had a weird habit.
Whenever I get an important answer from ChatGPT, I often end up asking Claude. Then Gemini. Sometimes another model too.
Not because I want different writing styles, I just want to know if they agree.
Recently I came across Eye2.ai, which basically does that automatically by showing responses from multiple AI models side by side and highlighting where they agree or disagree.
It made me wonder:
As AI becomes part of our daily workflow, do you trust a single model's answer, or do you verify across multiple models before making decisions?
And if you do cross-check, what's your workflow?
Curious whether this is a niche behavior or if a lot of founders are quietly doing the same thing. 👀
Yes, constantly. What I found is that the useful part isn't seeing three answers side by side, it's making each model critique the others. Claude catches ChatGPT's mistakes (and vice versa) much more reliably when you paste in the other answer and ask it to verify, rather than just asking the same question again.
I got tired of the copy-paste loop and built a Chrome extension for it: ChatGPT, Claude and Gemini in panels in one tab, one prompt sent to all of them, and an "Exchange" button that feeds each model the others' latest answers with a verify prompt. It uses your existing logged-in accounts, so no API keys, and it doesn't collect any data.
Disclosure: I'm the author, it's free. https://chromewebstore.google.com/detail/ai-exchange/naffdgmhedmdagajmbgfgpoiiheadhee