Understand the evidence behind an AI answer
This series will explain schema discovery, business meaning, query evaluation and safe agent access. It is intended for developers building database agents and practitioners reviewing AI-generated SQL.
No articles are published in this series yet. Future lessons will use explicit datasets, executable examples and documented limitations. A plausible SQL statement is not evidence that it answers the intended question.
Meanwhile, build the foundations with JOIN and subquery semantics and window functions. These are useful concepts when checking a generated query.