Can an LLM really write production SQL?

For well-scoped queries, yes — if you give it the schema and dialect explicitly. These prompts are built around supplying that context, which is what separates a usable query from a hallucinated one.

Which model is best for SQL?

Strong reasoning models handle joins and window functions well, but the prompt matters more than the model. Start with the recommended model on each prompt and run it BYOK.

Will it know my schema?

Only what you give it. These prompts ask for your table schema up front so the SQL references real columns instead of guessing.

AI Prompts for SQL & Databases

Prompts that turn a plain-English question into correct, readable SQL — schema-aware, dialect-aware, and proven on real projects.

What to know

Writing SQL from a vague question is where a lot of analysis time goes. The prompts here take a table schema plus a plain-English question and return correct, readable SQL for your dialect — Postgres, MySQL, or SQLite — along with the assumptions they made. Every prompt on Oort has a shipped project attached, so you can see the query working before you trust it. Bring your own model key and run any of them in the playground.

1 prompt for sql & databases

Write SQL from a plain-English question (schema-aware)

Give your table schema and a question in English. Get correct, readable SQL for your dialect, plus a note on indexes and any assumption it had to make.

GPT-500by Oort

SQL & Databases prompts — FAQ

Can an LLM really write production SQL?: For well-scoped queries, yes — if you give it the schema and dialect explicitly. These prompts are built around supplying that context, which is what separates a usable query from a hallucinated one.
Which model is best for SQL?: Strong reasoning models handle joins and window functions well, but the prompt matters more than the model. Start with the recommended model on each prompt and run it BYOK.
Will it know my schema?: Only what you give it. These prompts ask for your table schema up front so the SQL references real columns instead of guessing.