The line about errors hiding behind clean row counts really lands, because a generated query that runs and returns a plausible number is the most dangerous kind of wrong. That undocumented business meaning is the real bottleneck, since the model has no way to know a column silently changed units two quarters ago. Have you found a lightweight way to feed that tribal context in, like a data contract or a column-level glossary the model can read?
Kartik N V J K
AI Developer | Making AI reliable, trustworthy & accessible to everyone | Active community contributor
The line about errors hiding behind clean row counts really lands, because a generated query that runs and returns a plausible number is the most dangerous kind of wrong. That undocumented business meaning is the real bottleneck, since the model has no way to know a column silently changed units two quarters ago. Have you found a lightweight way to feed that tribal context in, like a data contract or a column-level glossary the model can read?