RECEIPTS REQUIRED: How to Know What—and Who—to Trust When AI Can Fake Almost Anything

When appearance can be manufactured, what deserves your trust? AI can now produce fluent text, convincing images, cloned voices, synthetic identities and apparent social proof at extraordinary speed. The challenge is no longer simply spotting what is fake. It is deciding what deserves confidence when plausibility itself can be manufactured. RECEIPTS REQUIRED offers a practical discipline for navigating that environment. It shows how to trace the origin of a claim, recover its context, test whether apparent corroboration is genuinely independent, and match the strength of evidence to the consequences of being wrong. Through examples involving AI answers, images, voices, identities, citations, reviews and online claims, Amandeep Nagpal explains why realism is not proof, why multiple sources may not be independent, what provenance and Content Credentials can and cannot establish, and when stronger verification is justified. This is not a handbook for distrusting everything. It is a guide to knowing when the evidence is sufficient, when uncertainty should remain open, and when an important decision deserves stronger receipts.