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Data architecture for AI products: the boring foundations matter

Everyone wants the model. Almost nobody wants to fix the data layer first. Here's why that order is backwards.

Models are easy. Data is hard. If your warehouse is a mess, your AI product will reflect that mess — but louder.

(Full post coming soon.)

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