Tutorial
Ship your first ChatGPT app in 10 minutes
You do not need a backend, a build pipeline, or a single line of boilerplate to put a working app inside ChatGPT. Here is the full path — from a blank canvas to a live URL you can share — in about ten minutes.
What you will build
A small but complete ChatGPT app: a custom interface that renders right inside the conversation, wired to real data, and deployed to a public URL. Keep the scope tight — a unit converter, a changelog viewer, a menu browser — and you will finish in one sitting.
Before you start
- A DraftYourApp account — the free tier is enough to follow along.
- An idea small enough to finish today. Resist the urge to build everything at once.
- Optional: an API or data source you want to pull live content from.
Step 1 — Start from a template
Open the builder and pick a template that is close to your idea — portfolio, catalog, or services. Templates are not throwaway scaffolding; they are real, polished starting points you reshape into your own app. Starting from one shaves the first hour off your project.
Step 2 — Arrange your UI on the canvas
Drag inputs, buttons, cards, images, and layout blocks onto the canvas and arrange them until the screen reads the way you want. There is no markup to write and nothing to wire up by hand — the canvas is the source of truth for how your app looks inside ChatGPT.
Step 3 — Preview it inside ChatGPT
Open the live preview to see exactly how your app appears in a real conversation — not an approximation, the actual rendered widget. This is the tightest part of the loop: tweak a component, glance at the preview, repeat until it feels right.
Why the live preview matters
Most of the friction in building for a new surface is the guesswork — "will this even look right in context?" Seeing the real ChatGPT rendering as you build removes that guesswork entirely, so you spend your time designing instead of redeploying to check.
Step 4 — Connect real data
A static mockup is a fine start, but the apps people actually use show live content. Add a data connection to hook your app to an API or data source, then bind your components to real fields. Suddenly your changelog viewer shows today’s releases and your catalog shows in-stock items.
Step 5 — Deploy with one click
When it looks right, ship it. One click deploys your app to a live URL on Vercel, and future updates roll out the same way. No CI to configure, no environment to babysit — you get a link you can paste to a teammate or wire into ChatGPT immediately.
Where to go next
You just shipped a real ChatGPT app end to end. The same loop — template, canvas, preview, connect, deploy — scales from a weekend toy to something your whole team relies on. Pick a slightly bigger idea and run it again.