11. Designing Chat UIs for Uncertain AI Answers

In the previous ten posts, I analyzed the most common SQL generation errors. I used BIRD and Spider benchmarks, tested several models, and grouped wrong answers into types such as COLUMN_BINDING, VALUE_BINDING, and DERIVED_METRIC. As I kept looking at those SQL errors, I realized I wanted to check something different. “So how should generated SQL and supporting context appear in the UI?” I had been focused on accuracy and had missed what users actually need from the interface. In a workplace data analysis tool, the UI has to make it clear where numbers come from. Without traceable context, users end up re-running the SQL even when the result looks correct. ...

May 23, 2026 · 21 min · Junho Lee