Vault Training Club
A production iOS fitness app with an AI coach in it, from concept to App Store in about two months.
- ~2 months
- Concept to App Store
- 200+
- Exercise library, programmed by AI weekly
- AI-built
- Ideation to deployment with Claude Code
A production iOS fitness application with a full Azure backend, built entirely using AI-accelerated development. AI runs through the product itself as well as the build: a conversational trainer, adaptive workout programmes, and food logging that reads a photo of your plate.
The Challenge
Build a complete, production-grade iOS fitness application from scratch with workout tracking, a full exercise library, nutrition and progress analytics, subscription management, and a secure backend with identity services that bridge Apple Sign In and Azure CIAM into a unified authentication flow.
On top of that, the product itself had to be genuinely intelligent rather than a logging app with an AI badge: coaching that answers real questions, programmes that adapt, and food logging quick enough that people actually keep doing it.
The Approach
Using AI-accelerated development through Claude Code and VS Code, the entire solution was built from ideation through architecture, coding, testing and deployment. The iOS client was built in Swift/SwiftUI, backed by Azure Web Services for API, data and business logic. A custom identity layer joins Azure AD B2C (CIAM) with Apple’s authentication to provide a seamless sign-in experience, and subscription management handles in-app purchases and entitlements end-to-end.
In the product, a conversational trainer answers technique and mobility questions in context, weekly programmes are generated and adapt over time across a 200+ exercise library, and meal logging uses image recognition to identify items and estimate portions, flagging how confident it is on each one rather than pretending to certainty it doesn’t have.
What shipped
- Concept to App Store in ~2 months
- Full production-grade Swift/SwiftUI application
- Conversational AI trainer giving technique and mobility guidance in context
- AI-generated adaptive weekly programmes across a 200+ exercise library
- Photo-to-macros food logging with per-item confidence levels
- 26 achievement badges across logging, training and nutrition streaks
- Azure Web Services backend with API and data layer
- Custom identity join between Azure CIAM and Apple Sign In
- In-app subscription management and entitlements
Inside the app
Startups & Scale-ups
Want a production app in months, not years?
Concept to App Store in around two months, AI-accelerated from ideation through architecture, coding and deployment.