Semantic Substrate

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The object-model position for authorship in AI-generated content systems.

A canonical coordinate for treating authorship as a discrete, addressable object in AI systems — a data type that carries provenance, rights, and attribution claims alongside generated content.

Coordinated sets this position belongs to — the coverage it extends. Counts are the live cluster size in the graph.

Ghost cluster22Creator cluster17Object cluster9

Architectural context

Creator · Cross-Vertical · 3 compound moats. Architectural surface: Object. Cross-cutting: Ghost.

Layer position: Cross-cutting

CreatorGhostObject

Why this is canonical

'Authorship object' names a precise architectural abstraction for the AI era: authorship not as a label but as a structured object — with fields for human contributors, AI model versions, training data lineage, and rights status. On .ai it targets the exact environment where this abstraction is most urgently needed: generative AI systems where authorship is complex, layered, and contested.

Where it fits

A few directions this coordinate opens —

AI content provenance object
Authorship as a structured data object attached to AI-generated content — carrying provenance, model version, human contributor, and rights metadata as a first-class content attribute.
AI content platforms, media technology, C2PA implementers
Creator rights infrastructure
The authorship object as the data primitive for creator rights management in AI-assisted workflows — encoding who contributed what, at which stage, with what rights implications.
Creator economy platforms, music and publishing technology, digital rights management

Illustrative, not exhaustive — held as a transferable canonical position, open to the buyer's own use.

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