Compression Diagnostics is a measurement-science definition developed in the Semantic Economy Institute. It asks what happens to an entity’s meaning when an AI system reduces it to a short summary or answer.
The framework defines five diagnostic dimensions. The beige threshold estimates how much of a description could apply to any competitor. Content gain records unsupported additions; content loss records omitted differentiators; semantic coherence evaluates whether products, people, methods, and institutions remain connected; and the compression regime classifies the result as commoditizing, extractive, or sovereignty-preserving. The Encyclotron is named as the instrument that supplies the query evidence.
The document uses a Basecamp audit as a calibration example and lists corporate audits, competitive analysis, intellectual-property monitoring, due diligence, and documented misrepresentation as possible applications. It is closely linked to Retrieval Forensics, Retrieval Architecture, Entity Integrity, and the Metadata Packet for AI Indexing. The proposed scores are part of a newly defined methodology and should not be represented as established industry standards without independent validation.
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