Why AI Research Answers With Sources Can Still Be Wrong

A developer building the research engine for the Prizston platform argues that an AI answer can include citations and still reach a conclusion the evidence does not support. He describes questions researchers must ask, such as when sources were originally published and whether they actually back up a claim. He uses a constructed example in which a page lists two conflicting publication dates, and says the correct result in that case is "not_determined" rather than picking the newer date. He proposes separating source observation, evidence evaluation, and answer validation as distinct stages. He also suggests testing whether a conclusion holds up after removing its strongest supporting source.