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CSD Framework

CSD stands for Context Sufficiency and Density. It is an experimental framework developed by Plate Lunch Collective for diagnosing and addressing context poverty in AI search. Context poverty is what happens when an AI system does not have enough reliable, structured information about a brand to characterize it accurately. The system fills the gap with inference, association, or silence. The brand either gets described incorrectly or does not appear at all. Context rot is a related term used broadly in the industry to describe the same condition: a brand’s context degrading over time as inaccurate associations accumulate and go uncorrected. The terms describe the same problem from different angles. CSD proposes that the solution is not more content. It is denser, more structured context. The difference between a brand that gets cited and one that does not is often not volume. It is whether the context available to the retrieval system is sufficient and coherent enough to support a confident citation. The framework is experimental. It is being tested and refined through client engagements. Full documentation coming.