AI Query

About AI Query

AI Query generates SQL from plain-English prompts and explains existing SQL back in plain English, aimed at the large population of analysts, founders and product people who need a query result but do not write SQL fluently. The part that makes the output usable rather than plausible is schema awareness: you define your database tables through a dashboard interface first, so generated queries reference real table and column names and join on real keys instead of inventing a schema that looks right. A reverse mode — SQL to English — takes a query someone else wrote and describes what it actually does, which is useful for auditing an inherited dashboard or a long analytics query nobody remembers the intent of. Generated queries can be saved, shared and revisited through a query history, so a team accumulates a reusable library rather than regenerating the same aggregation weekly. Multiple database engines are supported today with further engines listed as planned, and an API is documented for embedding generation elsewhere. Pricing is a single unlimited Pro plan rather than a credit meter, which suits people who want to stop thinking about per-query cost. There is a public Slack community and a companion product, Mikie.AI, from the same team.

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