🚀 AI Development Guide
For Non-Technical Founders
Goal: Develop YUJ App with AI assistance
(Booking, Points, Tasks, Recommendation Engine)
80-100 Hours to MVP
We recommend a "No-Code/Low-Code + AI-Assisted" approach.
| Layer | Tools | Purpose |
|---|
| Frontend | Glide / Bubble | Visual drag-and-drop |
| Backend & DB | Airtable / Supabase | Store data |
| Automation | Make / Zapier | Workflows |
| Booking | Cal.com / TidyCal | Scheduling |
| Payment | Stripe / PayMe | Accept payments |
| AI Engine | OpenAI API | Recommendations |
| Deployment | Netlify | Host frontend |
📌 Priority 1: Basic Features (Week 1-2)
- Member Registration: Glide user table, Google/phone login
- Course Schedule: Airtable with calendar view
- Booking: Built-in button, 4-hour cancellation
📌 Priority 2: Points & Tasks (Week 3-4)
- Points Table: Track transactions
- Auto Check-in: QR scan triggers automation
- Daily Tasks: Completion tracking
📌 Priority 3: AI Recommendations (Week 5-6)
- Collect Preferences: Sports, Wellness, Party
- OpenAI API: Personalized suggestions
- Display: "Recommended for You"
📌 Priority 4: GameFi Quest (Week 7-8)
- Quest Templates: Daily/Weekly challenges
- Auto Validation: Progress scanning
- Leaderboard: Points ranking
3.1 Build Database (Airtable)
- Users: Member info, level, points
- Classes: Course details
- Bookings: Records
- Points: Transactions
- Tasks: Definitions
3.2 Build Frontend (Glide)
Homepage → Calendar, Booking → Form, Points → History, Tasks → List, Profile → Info
3.3 Make Automation
- Check-in: +50 points
- Referral: +300 points
- Daily Reset: 00:00 auto
- Get OpenAI API Key
- Set up API Connector
- Call with member data
Prompt: Recommend courses based on preferences and history
- Test: 5-10 friends
- Optimize: Feedback loop
- Launch: PWA + Custom domain
- Maintain: Airtable backend
| Phase | Time |
|---|
| Learn Tools | 20 hrs |
| Build MVP | 40 hrs |
| Test | 20 hrs |
| Total | 80 hrs |
| Challenge | Solution |
|---|
| Complex logic | Break into simple automations |
| Data security | Views + permissions |
| Scalability | Migrate to Supabase later |
| AI quality | Start simple, optimize prompts |