ap-aesthetics
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TDQS
Scored across 10 tools
Each tool has a distinct verb+object focus: evaluate vs compare vs sensitivity vs audience_panel are separable evaluation modes, and fit/apply/tune form distinguishable calibration steps. Mild overlap among the evaluation tools (ap_evaluate, ap_compare, ap_sensitivity) is resolved by explicit descriptions.
All names share a consistent ap_ prefix and are snake_case, but the pattern mixes noun forms (ap_catalog, ap_template, ap_audience_panel, ap_sensitivity) with verb-based forms (ap_evaluate, ap_fit_calibration, ap_tune_parameters). Readable and predictable overall, just not uniformly verb_noun.
Ten tools is well within the ideal 3-15 range and each maps to a distinct capability in the evaluation/calibration pipeline. No redundant or filler tools are apparent.
The surface covers a full workflow: reference lookup, templating, evaluation, comparison, panel, sensitivity, dataset inspection, and fit/apply/tune calibration. Minor gaps around persistence/export of results, but core lifecycle is intact.