How to make a ChatGPT wrapper app for iOS
What a ChatGPT wrapper app needs
- A clean chat UI with a message list and an input bar
- Streaming responses, so text appears token by token rather than all at once
- Conversation history that persists, with the ability to start a new chat
- A server-side proxy that holds your OpenAI key and forwards requests, so the key never ships in the app
- Rate limiting and usage tracking, so a single user cannot run up your API bill
- Content moderation and a way to report or block offensive output, which App Review expects for user-generated content
- Something that adds value beyond a raw model, for example focused prompts, personas, document chat, or a specific use case
The architecture point is the one to get right. A key embedded in an app binary can be extracted, so route every call through your own backend.
How to build it with AppFlight
Describe it in plain English, for example: "An AI chat app with a streaming chat interface, saved conversations, a new-chat button, and a set of preset assistants for writing, coding, and study. Calls go through my backend so my OpenAI key stays server-side, with per-user rate limits and basic moderation." With AppFlight, the public client keys ship in the app while backend secrets like your OpenAI key stay server-side in your own Supabase, and the generated app calls a backend function that talks to OpenAI. AppFlight generates native SwiftUI, wires the OpenAI and Supabase integrations, and launches it in a live simulator so you can send a message and watch the streaming response. You iterate in plain language, for example adding document upload or voice input.
Monetization for a ChatGPT wrapper app
Because every message has a real API cost, monetization has to cover usage. Two models dominate: a subscription with a fair-use limit, or a credits or token system where users buy a balance. A free trial with a small message allowance lets people try it before paying. Add a RevenueCat paywall for subscriptions, and use Superwall to test paywall designs without shipping an update. Track usage server-side so your costs stay below your revenue, and set the price against your real per-message cost rather than guessing.
Shipping it to the App Store
When the app is ready, AppFlight signs the build, uploads to TestFlight so you can test the chat on your own device, then submits to the App Store with metadata and screenshots from the simulator. AI chat apps draw extra scrutiny, so include content moderation and reporting, set an accurate age rating, disclose that responses are AI-generated, and add genuine value beyond a thin wrapper, since bare wrappers are commonly rejected. If Apple rejects the build, AppFlight reads the reason, works on the fix, and resubmits. Apple reviews every app, so a submission is not the same as an approval.
FAQ
Do I need to code to make a ChatGPT wrapper app?
No. You describe the app in plain English and AppFlight generates native Swift and SwiftUI. The one thing to get right is architecture: your OpenAI key must stay server-side, not in the app binary.
Where should the OpenAI API key live?
On your server, never in the app. A key shipped in an app binary can be extracted and abused. With AppFlight the public client keys ship in the app while backend secrets like an OpenAI key stay server-side in your own Supabase, and the app calls a backend function that talks to OpenAI.
Will Apple approve a ChatGPT wrapper app?
It can, but App Review scrutinizes AI chat apps. You need user-generated content safeguards like moderation and a way to report or block offensive output, an accurate age rating, and clear disclosure. Submitted is not approved, and thin wrappers with no added value are often rejected.