From one sentence to a live app.

This page exists so that nobody has to take our word for it. Each example below is a prompt that was actually given to an AI assistant connected to TaskLite through MCP, what came back, and a live page you can open right now. The data behind every page lives in TaskLite boards a business can operate.

The whole chain in 56 seconds, from ChatGPT

Recorded from a real ChatGPT session on 7 September 2026: the prompt, the backend built by one call, the HTML page written and deployed, and the live address. No cuts inside a step.

Live examples

Built on 8 September 2026 from Claude Code through the TaskLite connector. The frontends are single HTML files that read the public endpoints the agent created; the admin behind them is TaskLite itself.

Sweet Layer Bakery: custom cake orders

Claude Code, 8 September 2026, one build_backend call
Open the order board
The prompt, verbatim
Create a backend for a small bakery that takes custom cake orders: customers, orders with a due date, a status (new, confirmed, in the oven, ready, picked up), servings and price. Use proper field types, add a few sample orders, and expose it as a REST API.
What one call created
  • Project with two typed boards: Customers (phone, email, notes) and Orders
  • Orders: relation to a customer, cake, servings with a 1 to 200 rule, due date, status with the five stages, price, deposit checkbox
  • Six sample orders across four customers, in dependency order
  • REST endpoints /customers and /orders with GET, POST and PATCH, plus a server-side key
What the business got for free

The bakery already has a kanban by status, a calendar by due date and a customer table with tap-to-call phones. Nothing else was built.

Live page: bakery-demo-api.tasklite.dev

Northside Cycles: repair board

Claude Code, 8 September 2026, one build_backend call
Open the repair queue
The prompt, verbatim
Build a backend for a bike repair shop: customers, repair orders with the bike, the problem, received and promised dates, a status from received to collected, and an estimate; payments linked to orders with amount, date and method. Add sample data and expose it as a REST API.
What one call created
  • Project with three boards and two relations: Customers, Repair Orders (many to one customer), Payments (many to one order)
  • Repair status with six stages, dropdown for payment method, currency fields, dates
  • Six repairs, three payments, four customers as sample rows
  • REST endpoints /customers, /repair-orders, /payments with GET, POST and PATCH, plus a key
What the business got for free

The shop works the queue as a kanban, sees promised dates on a calendar, and can add a WhatsApp automation for "ready" without a developer.

Live page: bike-shop-demo-api.tasklite.dev

What happens between the sentence and the page

1

The assistant designs, TaskLite executes

The model turns the sentence into a spec: boards, typed columns, relations, sample rows. One build_backend call creates all of it in dependency order and refuses a bad spec before creating anything.

2

The API appears with the data

Every board becomes a REST endpoint with an OpenAPI description and a server-side key. Row-level security is a flag for apps with their own users.

3

The frontend is optional, the admin is not

The assistant can write a page and deploy it to a tasklite.dev address in the same conversation. The boards it created are already the admin: seven views, forms, approvals, automations, portals.

Run it yourself in ten minutes

Connect TaskLite to the assistant you use, paste the bakery prompt, and compare what you are left to build with any other backend.

Create a backend for a small bakery that takes custom cake orders: customers, orders with a due date, a status (new, confirmed, in the oven, ready, picked up), servings and price. Use proper field types, add a few sample orders, and expose it as a REST API.
ChatGPTClaudeGeminiCursor, Codex, VS Code

What this does not show

  • The demo pages are read-only on purpose; writes go through the admin or a server with the key.
  • Sample data was part of the prompt. A real business imports from Excel or starts empty.
  • The frontends are deliberately plain HTML so that the backend, not the design, is the point.

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