An open protocol for AI-mediated product discovery (github.com)

A new initiative called the Open Receipt Protocol (ORP) has been launched to revolutionize how product discovery is managed through AI. This reciprocal public-good protocol allows companies to register claims about their products, while Large Language Model (LLM) Hosts facilitate unbiased recommendations and feedback from verified human contributors. The process establishes a public but private accountability loop by creating "signed rating receipts," which reference specific claims tied to recommendations. Importantly, the neutrality of the operator—either a non-profit or a federation—ensures that no influence can be bought or sold, enhancing the integrity of the discovery process. For the AI and ML community, ORP represents a significant step toward increasing accountability and transparency in product recommendations, addressing the centralization problems that often plague traditional models. By decentralizing trust and utilizing public graphs of accountability, ORP aims to elevate the quality of product discovery based on genuine consumer experiences, rather than manipulative marketing tactics. The initiative invites further scrutiny and collaboration through its drafts, highlighting both its innovative approach and its willingness to refine the protocol through feedback from the community.