Technical notes on web development, DevOps, and AI integration.
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A data validator flagging false positives isn't just noisy — it destroys developer trust. Here is how I added a negative-control corpus and exact reason-code assertions to turn a paranoid validator into a precise one.
TL;DR: The validator flagged a blank source as unverified because it treated missing facts as failures rather than negative controls. A new 20-sentence negative-control corpus now fails the test if false positives exceed 10 percent. Seven exact reject reason-codes plus a positive control ensure bad data gets rejected for the right reasons.