Arcytic

I kept running into the same issue: AI answers sounded confident, but some of them were just wrong. I usually found out only after I’d already trusted or used them.

I tried prompting better and asking follow-ups, but that still meant relying on a single model’s response. There was no easy way to sanity-check an answer before acting on it.

So I built Arcytic. It analyzes answers across multiple AI models and shows where they agree or conflict, which makes it easier to decide what to trust.

I’m curious how others here handle this today.
Do you just trust one model, or do you have a process to double-check important answers?

Lately I’ve noticed how easy it is to trust AI answers just because they sound confident and well-written. Even when I know models can be wrong, I still catch myself accepting answers without checking.

The hard part isn’t that AI is sometimes wrong. It’s that it’s hard to tell when it’s wrong before you act on the answer.