The Coach AI – Cross-Platform AI Coaching Application
The Coach AI – Cross-Platform AI Coaching Application
Problem
In the growing world of personal development and digital coaching, users demand a simple, intuitive way to engage with AI-powered life and business coaches. The challenge for The Coach AI team was to create a cross-platform application that delivers a consistent, seamless coaching experience across web, iOS, and Android – all while maintaining subscription-based access control and legal compliance. They needed a scalable MVP that looked and felt production-ready but could later be enhanced with full AI logic. The system had to integrate FlutterFlow for UI/UX, Firebase for real-time data, and RevenueCat for managing global subscriptions ensuring users can chat, subscribe, and interact securely, with backend intelligence ready to grow.
Key Challenges
Cross-platform consistency: The design and UX had to perform flawlessly on web, iPhone, and Android devices.
AI-ready backend: The system needed stubbed coaching logic for now, but flexible enough for future GPT-based enhancements.
Secure data management: User profiles, conversations, and subscription states had to be stored safely and synced in real-time.
Subscription logic: Needed automated blocking/unblocking of access depending on subscription status.
Legal compliance: Users must review and accept Terms of Service before any AI session.
Solution
BytezTech delivered The Coach AI as a production-ready cross-platform MVP that blends elegant UI, strong architecture, and monetization readiness. Built in FlutterFlow, powered by Firebase Functions, and monetized with RevenueCat, the solution sets the foundation for a scalable AI coaching platform adaptable to multiple languages and markets.
Cross-Platform App with FlutterFlow
Designed and developed the app strictly following the provided Figma prototype under Material Design principles.
Ensured responsive, platform-specific UI optimization for Web, iOS, and Android.
Incorporated modular widgets for scalable updates without redesigning layouts.
Maintained a single codebase that outputs production-ready builds across all platforms.
AI-Ready Firebase Cloud Stubbed Logic
Implemented Firebase Cloud Functions for the two main flows: CreateConversation & SendMessage
Stubbed both APIs with mock responses for seamless frontend integration.
Architected the backend to allow future integration of OpenAI or Vertex AI models without rewriting app logic.
Subscription & Monetization with RevenueCat
Integrated RevenueCat to handle all operations: Subscribe, cancel, or modify payment methods
Built Firestore and Firebase Functions logic to check active subscription status dynamically.
Configured automatic session blocking/unblocking for free vs. premium users.
Ensured real-time synchronization between RevenueCat and Firestore for reliable payment validation.
Legal & Data Management with Firestore
Integrated Terms of Service directly into the app, reflecting the content from the official the-coach.ai/terms-of-service.
Enforce mandatory user consent before initiating any coaching session.
Established Firestore schemas for users, conversations, and subscriptions with strong access control rules.
Implemented Firebase Security Rules to ensure that only authorized users can access or update data based on subscription level.
Result
BytezTech successfully launched a production-ready MVP of The Coach AI, now live across Web, iOS, and Android, providing users with a unified, secure, and visually consistent coaching experience. The app not only meets all functional acceptance criteria but is fully prepared for rapid AI enhancement and global scaling.
Impact Matrics
100% Design Accuracy: FlutterFlow UI matches the Figma prototype precisely.
3-Platform Launch: Fully responsive and stable deployment on Web, iOS, and Android.
AI-Ready Infrastructure: Cloud Functions are stubbed and modular for easy model integration.
RevenueCat Integration: Subscription logic tested and verified end-to-end.
Legal Compliance: Terms of Service acknowledged by 100% of users pre-session.
Data Security: Firestore logic verified for user and subscription access control.
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