How RewardsGuru.club uses artificial intelligence to analyze credit card data and generate content.
This page explains where artificial intelligence is used on this site and, more importantly, where it is not. The short version: machines do the scale work — reading issuer pages, cross-checking figures, flagging things that look wrong — and people decide what gets published and how it is framed.
Language models can produce fluent, confident, wrong figures. That failure mode is the reason for the editorial process: every draft is reviewed, and a publish gate blocks any article whose figures do not match the verified database.
When a number turns out to be wrong anyway, we treat it as a bug: the database is corrected first, then every article citing the old value is updated to match.
Drafting and research are assisted by it, but nothing publishes without human editorial review, and every figure must match a verified source before the publish gate will let it through.
It is not permitted to supply one from memory. Card figures have to come from the database or a fresh reading of the issuer's page, and the publish gate blocks anything that does not match.
The database is corrected first, then every article citing the old value is updated. Corrections are treated as bugs, not as editorial opinions.