How to Avoid Silent Errors When Translating Plain-English Requests into SQL

Converting plain-English data requests into SQL queries is a common task that often produces subtly incorrect results, even when the query runs without errors. Key pitfalls include ambiguous JOIN types, unhandled NULL or empty-string values, self-referential table relationships, and SQL dialect differences across databases like PostgreSQL, SQL Server, and Oracle. Experts recommend verifying that join types match the actual intent of a request, checking how WHERE clauses handle edge-case values, and confirming the target database dialect before running any generated query. Asking a query generator to state its assumptions explicitly — such as how it defines 'recent' — is more reliable than simply accepting the output at face value. Tools like Craftloop's SQL Generator aim to address these issues by returning not just the query but also its assumptions, a plain-English explanation, and an optional entity-relationship diagram for review.