Database work becomes dangerous when a query is treated as self-explanatory. Strawberry can work from the PostgreSQL tooling, query output, schema pages, and documentation you open to prepare a clear, reviewable analysis before any database change.
01
Explain the query in its schema context.
A result set cannot be trusted without knowing the visible tables, joins, filters, and time boundaries behind it. Strawberry can turn the database context you open into an analysis another person can inspect.
02
Investigate a mismatch before changing data.
When a dashboard and query disagree, the first job is to identify the comparison boundary.
Work from visible queries and output to propose the smallest safe read-only check.
03
Keep production changes deliberate.
Schema changes and write queries have broad consequences.
Strawberry can prepare a review plan from the database tooling and documentation you open without taking an execution step.
04
Keep the workflow ready for the next review.
Save the query-review checklist as a PostgreSQL skill, then schedule a routine to prepare a browser-context database review for the data owner. It must never run a write query or apply a schema change.
PostgreSQL Strawberry