Blog Article•15 min read
How to Integrate ChatGPT into a Mobile App
Complete guide to integrating ChatGPT and LLM capabilities into React Native mobile apps.
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10+ AI mobile apps shipped
AI in your mobile app, built to ship
I add ChatGPT, Claude, Vision AI, and on-device models to your mobile app. Fast responses, costs you can predict, and offline fallbacks where they matter. You work directly with the engineer building it.
What's included
The pieces that make up a ai in your mobile app, built to ship engagement, and what each one does for your project.
Chat and conversational AI
Chat built on ChatGPT, Claude, or Gemini. It remembers the conversation, streams replies so they feel instant, and follows a system prompt written in your brand voice.
- •ChatGPT, Claude, Gemini integration
- •Multi-turn conversations with context
- •Streaming responses for low latency
- •Custom system prompts
- •Conversation history & preferences
Vision and image recognition
Read text from images, spot objects, recognise faces, search by picture, and describe a scene. Built on GPT-4 Vision, Claude Vision, Google Vision AI, or on-device TensorFlow Lite models.
- •OCR (text extraction from images)
- •Object detection & classification
- •Face recognition & emotion analysis
- •Visual search (find similar images)
- •Scene understanding & captioning
On-device AI models
Models that run on the phone, with no internet needed. Data never leaves the device, so it stays private. I shrink the model so it runs well on mobile.
- •Llama 3.2 (3B, 1B models)
- •Gemma 2B, Mistral 7B (quantized)
- •Offline AI functionality
- •Private AI (data stays on device)
- •Battery-efficient inference
React Native integration
AI wired into your React Native app with TypeScript. Real state handling, real error handling, and native modules where the JS bridge is too slow.
- •React Native + Expo compatibility
- •TypeScript for type safety
- •Native AI module integration
- •Tuned for iOS & Android
Howitruns
Four phases, mapped to the actual work. Each phase ends with something you can review.
01
Design the AI architecture
Pin down where AI helps, pick the right models, plan the API setup and the cost side, and design how the AI feels to use.
02
Build and integrate
Wire in the AI APIs, put a backend proxy in front to keep keys safe, stream the responses, add error handling and fallbacks, and tune the prompts for mobile.
03
Make it fast
Cut response times, add caching, batch requests, watch battery use, and test prompts against each other to see what works.
04
Launch and watch
Ship it, track cost and usage, add safety filters and content moderation, and make sure it passes App Store review.
June is fully booked. July slots open soon
Most projects start within 10 days of the first call
10+ AI mobile apps shipped to date
Booking July 2026
Want to talk through ai in your mobile app, built to ship?
Tell me what you're building. I'll tell you what's realistic, what it takes, and whether ai in your mobile app, built to ship is the right fit. If it isn't, I'll say so.
A 30-minute scoping call (no slide deck)
A short written summary of the project shape
No obligation, no follow-up sales sequence
I usually reply within a working day. Conversations stay confidential.
Fixed-scope pricing. No setup fees. Stop anytime between phases.
More on building AI into mobile apps
Guides on adding AI to a mobile app