Quality and performance improvements

Problem

By v1.2, the profiler will have accumulated performance data and user feedback revealing specific quality and speed bottlenecks: semantic detection latency on wide tables (100+ columns) may make profiling impractical, confidence scores on certain data patterns may cluster around unhelpful mid-range values, and profile rendering for large schemas may be slow enough to discourage exploration. These issues have measurable user-facing impact (abandonment during profiling, misclassification-driven misinterpretation) but have not been systematically profiled and optimized. Targeted improvements to semantic inference accuracy, query efficiency, and rendering performance — each tied to a measurable user-facing outcome — are needed to move the profiler from "adequate" to "delightful."

Context

Possible Solutions

Plan

Implementation Progress

Review Feedback

• Review cleared