Your favorite LLM is great at writing SQL but it knows nothing about your data. That’s the gap that Beekeeper Studio’s AI Shell closes. It’s a privacy-first, conversational interface that acts as your AI SQL pair programmer, helping you generate SQL queries tailored to your actual schema.
Agentic coding tools like Claude Code and Cursor can already reason across an entire codebase. And that’s what Beekeeper Studio’s AI Shell does for your data. Rather than have you paste table structure or sample data into ChatGPT, the AI Shell shares your database schema with your chosen LLM so that it can understand your actual structure: tables, columns, and relationships.
and get a runnable SQL query based on the actual shape of your data. Whether it’s a new dataset or your primary project, you can get productive faster without stopping to look up joins, column names, or table structures.
So, Beekeeper Studio’s AI Shell makes sure the LLM never interacts directly with your data. Instead, you can review every SQL statement it generates before you decide whether to run it.