TDM·AI

TDM·AI is a protocol for attaching machine-readable text-and-data-mining and AI-training preferences to individual digital assets rather than to whole domains. It uses content-derived identifiers and verifiable credentials so declarations can remain tied to a work even when files move between platforms or lose embedded metadata.

The project is especially relevant where domain-level tools like robots.txt are too coarse, but it is still emerging and closely coupled to draft-stage vocabulary work elsewhere in the standards ecosystem.