#5CRSE Implementation Priorities
Based on the analysis of the current codebase, this document outlines a detailed implementation plan for the highest-priority features that should be addressed next.
#1. AI Assistant Frontend Implementation
The backend AI integration is well-developed with multiple providers and agent personalities, but lacks frontend components for user interaction.
#Implementation Plan
-
Week 1: AI Chat Interface
- Create
AIAssistantPanelcomponent for the main chat interface - Implement real-time messaging display with proper styling
- Add agent type selection toggle between Customer Service and Business Manager
- Create
-
Week 2: API Integration
- Connect frontend to
/api/ai/interactendpoint - Implement streaming response handling
- Add loading states and error handling
- Connect frontend to
-
Week 3: Voice Integration
- Integrate Hume AI voice playback for responses
- Add audio recording for user input
- Implement voice visualization during playback
-
Week 4: Tool Execution UI
- Display tool execution status and results
- Create UI for confirming tool actions when needed
- Implement history tracking for past interactions
#Technical Requirements
// Example AI Assistant Component Structure
interface AIAssistantProps {
initialAgentType?: 'customer_service' | 'business_manager';
sessionId?: string;
initialContext?: Record<string, any>;
}
// Example API Interface
interface AIInteractionRequest {
message: string;
agentType: 'customer_service' | 'business_manager';
sessionId?: string;
context?: Record<string, any>;
}
interface AIInteractionResponse {
text: string;
audio?: string; // base64 encoded audio
toolCalls?: Array<{
tool: string;
params: Record<string, any>;
status: 'pending' | 'completed' | 'failed';
result?: any;
}>;
sessionId: string;
}
#2. Notification System Enhancement
A comprehensive notification system is essential for user engagement and real-time updates.
#Implementation Plan
-
Week 1: Notification Infrastructure
- Create
NotificationServicewith support for multiple channels - Implement notification templates system
- Set up notification database storage and queuing
- Create
-
Week 2: Email Notifications
- Integrate with email service provider (SendGrid/Mailchimp)
- Create HTML email templates for key events (booking confirmation, reminders, etc.)
- Implement email tracking and analytics
-
Week 3: SMS Notifications
- Integrate with Twilio for SMS delivery
- Create SMS notification templates
- Implement opt-in/out management
-
Week 4: Push Notifications
- Create service worker for web push notifications
- Implement browser permission handling
- Add real-time push for booking updates
-
Week 5: User Preferences & Management
- Create notification preferences UI
- Implement frequency and timing controls
- Add notification history view
#Technical Requirements
// Notification Model
interface Notification {
id: string;
userId: string;
type: 'booking_update' | 'payment_confirmation' | 'event_reminder' | 'system_alert';
channels: Array<'email' | 'sms' | 'push'>;
content: {
title: string;
body: string;
data?: Record<string, any>;
};
status: 'pending' | 'sent' | 'failed';
sentAt?: Date;
readAt?: Date;
createdAt: Date;
}
// Notification Service Interface
interface NotificationService {
send(notification: Omit<Notification, 'id' | 'status' | 'createdAt'>): Promise<Notification>;
markAsRead(notificationId: string): Promise<void>;
getUserNotifications(userId: string, options?: {
limit?: number;
status?: 'read' | 'unread' | 'all';
type?: string;
}): Promise<Notification[]>;
updateUserPreferences(userId: string, preferences: NotificationPreferences): Promise<void>;
}
#3. Ticketmaster Integration Enhancement
The current Ticketmaster integration is basic and needs to be expanded to support the full event discovery and booking workflow.
#Implementation Plan
-
Week 1: Event Synchronization
- Implement automated event import from Ticketmaster
- Create scheduled sync job for regular updates
- Add matching/deduplication for existing events
-
Week 2: Enhanced Event Discovery
- Expand search and filter capabilities using Ticketmaster's discovery API
- Implement geolocation-based event recommendations
- Add trending and popular events section
-
Week 3: Ticket Purchasing Flow
- Integrate Ticketmaster's ticket availability API
- Create seamless ticket selection with seat maps when available
- Implement deep linking to Ticketmaster checkout
-
Week 4: Integration with Transportation
- Connect Ticketmaster events with transportation booking
- Add suggested pickup timing based on event details
- Implement package deals for tickets + transportation
#Technical Requirements
// Enhanced Ticketmaster Service
interface TicketmasterService {
// Current methods
searchEvents(params?: Record<string, any>): Promise<any>;
getEventById(id: string): Promise<any>;
// New methods
syncEvents(options?: {
startDate?: Date;
endDate?: Date;
categories?: string[];
locationRadius?: number;
coordinates?: [number, number]; // [lat, lng]
}): Promise<{
added: number;
updated: number;
skipped: number;
failed: number;
}>;
getEventAvailability(eventId: string): Promise<{
hasTickets: boolean;
priceRanges: Array<{ type: string; min: number; max: number; currency: string }>;
ticketTypes: Array<{ name: string; quantity: number }>;
ticketmasterUrl: string;
}>;
getRecommendedEvents(params: {
userId?: string;
baseEventId?: string;
categories?: string[];
location?: string | [number, number];
limit?: number;
}): Promise<any[]>;
}
#4. Comprehensive Testing Strategy
To ensure the reliability of these new implementations, a robust testing strategy is essential.
#Testing Approach
-
Unit Tests
- Test individual components and services in isolation
- Mock external dependencies and API calls
- Aim for >80% code coverage
-
Integration Tests
- Test the interaction between components
- Verify API endpoint behavior
- Test database operations
-
End-to-End Tests
- Create Playwright tests for critical user journeys
- Test the full booking and payment flow
- Verify AI assistant interactions
-
Performance Testing
- Load test the notification system
- Benchmark AI response times
- Test Ticketmaster integration under load
#Implementation Timeline
| Feature | Duration | Dependencies | Priority |
|---|---|---|---|
| AI Assistant Frontend | 4 weeks | Existing AI backend services | High |
| Notification System | 5 weeks | None | High |
| Ticketmaster Enhancement | 4 weeks | Existing Ticketmaster integration | Medium |
| Testing Implementation | Ongoing | Feature implementations | High |
#Resource Requirements
- 2 Frontend developers (React/Next.js expertise)
- 1 Backend developer (Node.js/TypeScript expertise)
- 1 QA engineer for testing
- UX/UI designer for AI assistant interface
By focusing on these high-priority items, we can significantly enhance the user experience and feature completeness of the 5CRSE platform in the next development cycle.
