Apps for people. Capabilities for agents.

One sentence becomes
working software.

Describe the app you need. Meowtcha creates its interface, data, authentication, functions, schedules, and approved agent actions as one deployable system.

No setup Real backend included Deploy in one click
One prompt, one complete result

The interface and the work behind it arrive together.

A person can use the application normally. An approved AI can use the capabilities it exposes. Both reach the same data and rules.

Original prompt Build a booking app for my studio with classes, waitlists, payments, and reminders.
App live
L Luma Studio
M
TUESDAY, JULY 21

Evening classes

All levels
Mobility45 min · Studio B
Full
Vinyasa Flow60 min · Studio A
Booked
Restorative50 min · Studio A
8 spots
Maya is bookedVinyasa Flow · Tuesday at 6:00 PM
G
ChatGPTConnected to Luma Studio
Live
Are there any spots Tuesday evening?
classes.check_availability()
Vinyasa Flow at 6:00 has three spots. Want me to book one?
Read allowed
maya@luma.studio · classes:read · logged 2:14 PM
Ask about this app…
One app, several ways to use it

A website when people need one. A capability when AI does.

Use the application in a browser, let an approved assistant act through it, or extend it from code. The underlying system stays the same.

orbit.meowtcha.app one app · one database · one rule set
OrbitTelescope time, traded
Tue 02:40Andromeda · 40myours
Tue 03:20M13 core · 20mopen
Wed 01:05Lunar terminator · 35mopen

A real product: accounts, live data, permissions. People just use it.

Production foundation included

Not a screenshot. Not a pile of setup.

Meowtcha gives the generated software a real backend and a path from preview to a live, versioned application.

Interface A responsive product UI people can open and use. included
Data + identity A managed database, sign-in, roles, and rules for the app. included
Functions + schedules Server-side actions and recurring work defined with the application. included
Preview + deploy Test the complete system, then publish a versioned build from the same project. included
Agent capabilities Approved functions can become discoverable tools for outside agents. included
Activity + restoration Inspect what ran, follow changes, and restore an earlier deployment. included
What should exist?

Build the useful thing that never made the roadmap.

Start with an app, an automation, or a capability your AI keeps needing. They all run on the same foundation.

A client request portal

Collects requests, gives customers shared status, routes approvals, and prepares the weekly update.

interface · auth · functions

A market intelligence workspace

Stores findings, monitors selected sources on a schedule, and lets an approved assistant search what it has collected.

schedules · data · MCP

A live operations dashboard

Keeps shared state current while server-side rules and scheduled actions move the work forward.

realtime · roles · schedules

A working product demo

Uses real records, authentication, and actions instead of stopping at a clickable mockup.

seed data · auth · deploy

One more thing

And somehow, this magical thing also has the boring parts.

Not bolted on for the enterprise page — they fell out of the architecture. A runtime that lets a stranger's agent call your app has to know who is asking, what they may touch, and what they did. So it does.

Permissions

Rules on the collection, evaluated for every caller — the agent gets exactly what its user gets, never more.

Audit trail

Every agent action names the actor and the human behind it. `act` claims, not log-scraping.

Admin dashboard

Browse and edit every record, inspect runs, see schedules — generated, not built.

Analytics

Traffic, agent calls, tokens, cost — per app, queryable by your agent too.

orbit · activity live
claudeas maya@lab.io booking.create · slot m13-0320allowed
chatgptas sam@lab.io booking.delete · slot m13-0320denied · not owner
scheduleras system waitlist.offer · expires 10mallowed
For developers

Inspect it. Extend it. Keep control.

The schema, functions, agent tools, preview, and deployments are visible when you want to go deeper.

Build with an agent

The built-in agent edits the same source, schema, functions, and deployment state you can inspect.

Inspect the data model

The schema is a file: collections.ts. Read it, lint it, and change it alongside the generated app.

Extend from your IDE

Open the project from your IDE or terminal. Your edits and the platform agent's edits land in the same tree.

Use open interfaces

Call outside APIs from functions and expose selected app actions through MCP when the workflow needs it.

Typed SDK, real API

Generated from your schema. Your frontend, functions, and approved outside agents drive one contract.

What useful software
should exist next?

Describe it in one sentence. Meowtcha will build the first working version.

No card required · Real backend included · Keep improving it by asking