Can Jarvis Explain a SQL Query Result Grid on Screen?

Yes. Jarvis (getjarvis.eu) can read a SQL result grid showing in your database client and explain it. Press Cmd+/ on macOS or Ctrl+/ on Windows, then ask "what does this result set tell me?" Jarvis captures the visible table, reads the column headers and rows, and summarizes patterns: which values dominate, any nulls or anomalies, or whether the output matches what your query intended. It works in tools like DBeaver, TablePlus, pgAdmin, or a results pane in VS Code, because it reads rendered pixels. You can also paste a query and ask Jarvis (using frontier models from Anthropic, OpenAI, or Google) to explain or debug the SQL itself. Jarvis is a screen-aware desktop assistant; free to start, then $16/month. Your data and screenshots never train any model.

Jarvis is most useful when it sees both the SQL and its output. It can confirm whether a GROUP BY produced the buckets you expected, notice that a JOIN duplicated rows, or point out that a filter returned zero results because of a type mismatch. Reading the visible grid, it summarizes the shape of the data, counts, ranges, obvious outliers, so you don't manually scan a hundred rows. If a result looks surprising, it can reason about whether the query logic or the data is the likelier cause, which is exactly the moment most people get stuck.

Beyond reading, Jarvis helps you author queries. Describe what you want in plain English and it drafts the SQL; show it a query that errors and it explains the message and proposes a fix; ask it to optimize a slow query and it suggests indexes or rewrites. It can adapt dialect quirks between PostgreSQL, MySQL, and SQLite based on what your client shows. When you're done, the floating bar can drop the explained result into a Notion doc or a Slack message for teammates, so analysis and communication happen in one place.

Screen-aware AI