The product is a subscription-based mobile fitness application developed for a Swedish fitness content creator. The platform delivers structured workout programs, personalized nutrition plans, and exclusive content to paying users.
Over time, the product evolved beyond static content delivery into a more dynamic, AI-powered experience, introducing personalized meal planning and integrated video streaming. It combines fitness tracking, nutrition management, and content distribution in a single mobile-first solution designed to support a growing subscriber base.
As the product grew, the client needed to expand beyond a basic content delivery app into a more engaging and scalable platform, while keeping development costs under control. The solution had to integrate seamlessly with an existing WordPress-based subscription system, ensuring reliable access control without introducing additional complexity to the billing setup.
At the same time, the client aimed to enrich the user experience with new features such as personalized meal plans, content streaming, and AI-driven functionality. This required integrating multiple third-party services and introducing AI capabilities into the product without disrupting the existing architecture. Balancing rapid feature development, limited budget, and increasing product complexity became a key challenge throughout the project.
To support the product’s growth while keeping infrastructure costs low, we designed a lightweight, serverless architecture built on Microsoft Azure. The backend was implemented using Azure Functions, enabling on-demand execution and cost-efficient scaling based on actual usage.
To integrate with the existing subscription model, we connected the mobile application to the client’s WordPress system. This approach allowed us to validate user credentials and subscription status in real time without duplicating billing logic or introducing additional systems.
We used the Ionic framework to build a cross-platform mobile application, ensuring consistent user experience across iOS and Android while reducing development overhead.
To enhance the product with personalized experiences, we implemented an AI-powered meal planning feature using OpenAI API. The system generates tailored recipes based on user preferences such as diet type and calorie targets. To ensure consistency between generated recipes and visuals, we introduced a multi-step generation flow where recipe content and image prompts are created together and processed separately.
We also integrated multiple third-party services to extend platform capabilities:
To keep infrastructure lightweight and cost-efficient, we designed a simplified data storage layer using native Azure storage services instead of a traditional relational database.
For handling media and static assets:
This approach reduced infrastructure and maintenance overhead while providing sufficient scalability for a growing user base. It also aligned with the overall serverless architecture, allowing the system to remain flexible and cost-effective as new features were introduced.
The delivered solution enabled the clientto evolve from a basic content delivery app into a more engaging, feature-richplatform without increasing infrastructure complexity or costs.
From a technical perspective, the platform remained lightweight and cost-efficient:
The implemented architecture andintegrations allowed the product to continuously evolve, adding newfunctionality while maintaining stability and performance.
As aresult, the client gained a reliable foundation for scaling the product andexpanding their digital offering without overcomplicating the technology stack.
