Prototype validation and proof

Problem

The prototype profiling pipeline produces semantic type labels and column context, but there is no evidence that these outputs are actually correct or useful. Without running the profiler against real warehouse tables and evaluating whether it correctly identifies emails vs. free-text strings, currency amounts vs. generic decimals, or timestamps vs. integer IDs, the team is building further features on unvalidated assumptions. Concrete proof artifacts — sample profiles with annotated correctness, repeatable validation scripts, known-good reference datasets — are needed to establish a quality baseline and identify systematic detection failures before the pipeline is used by real analysts.

Context

Possible Solutions

Plan

Implementation Progress

Review Feedback

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