Why an AI Research Answer Can Have Sources and Still Be Wrong

I'm building the research engine behind Prizston, an AI platform I'm developing to help people investigate customer problems and evaluate business opportunities.

One of the biggest challenges I've encountered isn't getting AI to produce an answer.

It's deciding whether that answer deserves to be trusted.

An AI system can return a convincing explanation, include several source URLs, and still reach a conclusion that the evidence doesn't support.

That's the problem I've been focusing on.

A real URL doesn't make a claim reliable

Consider a research assistant investigating whether a particular customer problem has become more common over the past year.

It finds several articles discussing the issue.

At first glance, everything looks fine.…