The Answer Key Recomputed Itself From Live Data

Static answers go stale when a data-science agent is asked about live audience or business data. This framework encodes the expected result as a function that recomputes directly from the underlying database at evaluation time, then scores atomic facts regardless of whether the agent replies in prose, a table or HTML. In an author-reported human agreement study using a synthetic database shaped like a production system, ground-truth-as-code improved Matthews correlation with expert labels 29% over natural-language references and used 16% fewer tokens. A self-directed baseline without explicit ground truth was anti-correlated with human judgment.