Build with natural-language prompts while Mask Databases does the heavy lifting in the background, turning intent into reliable database queries and models, then keeping that generated output aligned across your team, branches, and environments.
Describe what you need in plain language, and Mask Databases transforms it into executable queries and model definitions your app can actually run.
Write intent in plain English and generate concrete database queries for MongoDB, MySQL, and other supported engines.
Define fields and structure with prompts, then compile them into usable model code that matches your database workflow.
Behind each prompt is a structured compilation flow that converts developer input into dependable query and model output.
Swap wall-of-SQL for sentences your team can skim in seconds — reviews, onboarding, and midnight fixes all get easier.
Mask knows your tables and shapes, so a prompt becomes the query that actually fits your database — not a generic template that falls over in prod.
Use the Mask Databases client libraries in your Node.js or TypeScript app to run natural language queries and models against MongoDB, MySQL, and more. Define schemas and what you want in plain language; the compiler turns them into real code.
Mask Databases is the companion service: store and sync your compiled output so your app and your team stay consistent.
// Model: describe collection and fields in plain language
const UserModel = MaskModels.define(
'User model. Collection: users. Fields: name, email, teamId.'
);
// Query: say what you want, run it at runtime
const users = await MaskDatabase.prompt('find all users with name and email');
const one = await MaskDatabase.prompt('fetch user with id :userId', { userId });Everything you need to know before getting started.
"find all users with status active". The compiler converts your natural language into the correct database query for your chosen engine automatically. MaskModels.define() and MaskDatabase.prompt(). You run the compiler once — it converts your prompts into real database code. At runtime there are no AI calls, so queries are fast, predictable, and production-safe. mask-databases npm package. Install it with npm install mask-databases.