Working notes from the team. Why we sample the way we sample, how the classifier decides what counts, what the composite score is actually doing under the hood. Written for operators who want the numbers behind the number.

Topics, not keywords, are the unit of measurement inside BrandCrux. Here is how the taxonomy gets built, how the classifier keeps it clean, and how the per-topic composite blends seven separate signals into one score.
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AI engines are not deterministic. A 40-prompt scan that looks like 160 work units is actually 830 readings. Here is the variance we measured and why five samples per cell was the number we settled on.
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