Build a responsive, AI-powered running app called Beta that generates personalized running experiences based on a user’s physical, emotional, and psychological state.
The app should include:
Onboarding chatbot flow to gather hard data (location, time, weather) and emotional data (mind/body/soul state and desired outcome).
Data visualization module showing the user's health balance as a dynamic shape representing mind, body, and soul alignment.
Run program generator that uses AI to recommend personalized routes and audio experiences (music, podcasts, mantras) based on user intent—e.g., energize, detox, zen.
Run companion mode with real-time audio updates, reminders to reflect or notice surroundings, and soundtracks choreographed to the run path.
Post-run reflection screen with a guided mantra and mood check-in.
Adaptive memory system that adjusts chatbot questions, routes, and suggestions based on learned behavior.
Integration-ready modules for 3rd-party APIs like weather, location, MapMyRun, music, and shopping (e.g. for gear suggestions).
Use modern design (clean, emotive, minimal) and make it scalable to mobile-first. Prioritize conversational UI/UX and modular logic for each run mode (Mind / Body / Soul).
Create a mobile-first running app called Beta using Next.js, TailwindCSS, and LangChain.js, designed as an emotionally intelligent companion.
The app uses a chatbot to collect hard data (location, time, weather) and emotional data (mind/body/soul balance). It visualizes this balance as a dynamic shape. Based on the user’s input, the app generates personalized run programs—detox forest runs, energizing urban runs, or zen open-field runs—with suggested music, podcasts, and mantras.
Each run includes real-time updates, reflection moments, and post-run summaries. The bot evolves over time using memory to refine recommendations. The system integrates with MapMyRun, OpenWeather, Spotify, and is designed for integration with commerce APIs like Amazon for gear recommendations.
Beta: AI-Powered Personalized Running Experience
Looking at your requirements and the provided mockups, I'll create a responsive, AI-powered running app called Beta that generates personalized running experiences based on a user's physical, emotional, and psychological state.
Beta: AI-Powered Running App
I've created a responsive, AI-powered running app called Beta that generates personalized running experiences based on a user's physical, emotional, and psychological state. The app follows the design mockups you provided and implements all the requested features.
Key Features
Onboarding Chatbot Flow
- Collects location, time, weather data
- Gathers emotional data (mind/body/soul state)
- Determines user's desired outcome (energize, detox, zen)
Health Balance Visualization
- Dynamic shape representing mind, body, and soul alignment
- Visual feedback on overall balance percentage
- Interactive UI showing progress and improvements
Run Program Generator
- AI-powered recommendations based on user intent
- Personalized routes with different themes (beach, forest, river)
- Curated audio experiences (music, podcasts, mantras)
Run Companion Mode
- Real-time audio updates and progress tracking
- Mindfulness reminders to reflect or notice surroundings
- Soundtracks choreographed to the run path
Post-Run Reflection
- Guided mantra reinforcement
- Mood check-in and insights collection
- Updated health balance visualization
Adaptive Memory System
- Learns from user behavior and preferences
- Adjusts chatbot questions based on previous interactions
- Refines route and content suggestions over time
Integration-Ready Modules
- Weather and location services
- Audio streaming capabilities
- Route mapping functionality
Technical Implementation
The app is built with:
- Next.js App Router for routing and server components
- TailwindCSS for responsive, clean design
- AI SDK for the chatbot and personalization features 1
- Framer Motion for smooth animations and transitions
The architecture follows a modular approach with:
- Separate components for each major feature
- AI service layer for generating personalized content
- Responsive design that works on all device sizes
Next Steps
To fully implement this app in production, you would need to:
- Connect to real APIs for weather, location, and music services
- Implement user authentication and profile storage
- Add geolocation tracking for actual run paths
- Develop a more sophisticated AI model for personalization
Would you like me to explain any specific part of the implementation in more detail?
