First-Party Fraud: Notes from the Trust Machinery

Field notes

The project presents itself as a pattern-level publication rather than a case archive: its ground rules exclude names, employers, and identifiable stories. The visible homepage links to one note, “Friendly fraud is a pricing problem,” and provides RSS, llms.txt, and JSON endpoints alongside a claim of static HTML with no cookies, trackers, or analytics. Its scope explicitly reaches from disputed purchases to AI-enabled deception and the broader machinery of online trust.