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Xela: Teaching AI to Think Like a Statistician

So the actual design problem was never "can AI clean survey data." It obviously can, in the sense that it can produce something plausible. The problem was: how do you get an AI to make judgment calls, while keeping the pipeline itself deterministic and auditable? The answer I landed on was to stop treating "the AI" as one big black box that touches everything, and instead break the whole workflow into small, single-purpose stages, each one explicitly labeled by what kind of work it's doing: