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AI System Specifications

Overview​

The AI System provides intelligent assistance through chat interfaces and automated recommendations for marketing optimization.

Features​

1. AI Assistant (Chat)​

Route: /ai-assistant Navigation: AI > Chat

Core Functionality​

  • Conversational Interface: Natural language chat with AI
  • Context Awareness: Maintains conversation context
  • Multi-turn Conversations: Supports complex, multi-step discussions
  • Real-time Responses: Instant AI responses
  • Conversation History: Persistent chat history
  • Export Capabilities: Export conversations for reference

AI Capabilities​

  • Marketing Analysis: Analyze campaign performance and provide insights
  • Creative Suggestions: Suggest improvements for ad creatives
  • Strategy Recommendations: Provide strategic marketing advice
  • Data Interpretation: Help interpret analytics and reports
  • Problem Solving: Assist with marketing challenges
  • Best Practices: Share industry best practices and tips

Chat Features​

  • Message Types: Text, code blocks, formatted responses
  • File Attachments: Upload files for AI analysis
  • Code Highlighting: Syntax highlighting for code responses
  • Markdown Support: Rich text formatting in responses
  • Search History: Search through past conversations
  • Conversation Management: Create, rename, and delete conversations

2. Recommendations Engine​

Route: /facebook-ad-recommendations Navigation: AI > Recommendations

Core Functionality​

  • Ad Performance Analysis: Analyze Facebook ad performance
  • Optimization Suggestions: Provide specific optimization recommendations
  • A/B Testing Insights: Suggest A/B test variations
  • Budget Recommendations: Optimize budget allocation
  • Audience Insights: Recommend audience targeting improvements
  • Creative Recommendations: Suggest creative improvements

Recommendation Types​

  • Performance Optimizations: Improve ad performance metrics
  • Budget Reallocation: Optimize budget distribution
  • Audience Targeting: Refine audience targeting
  • Creative Improvements: Enhance ad creatives
  • Bidding Strategy: Optimize bidding approaches
  • Scheduling: Improve ad scheduling

Analysis Features​

  • Historical Data Analysis: Analyze past performance trends
  • Competitive Analysis: Compare against industry benchmarks
  • ROI Optimization: Focus on return on investment
  • Cost Efficiency: Optimize cost per acquisition
  • Conversion Rate: Improve conversion rates
  • Engagement Metrics: Enhance user engagement

User Interface Components​

AI Assistant Interface​

  • Chat Window: Main conversation area
  • Message Input: Text input with send button
  • Conversation List: Sidebar with conversation history
  • Settings Panel: AI configuration options
  • File Upload: Drag-and-drop file upload
  • Export Options: Download conversation history

Recommendations Dashboard​

  • Recommendation Cards: Individual recommendation displays
  • Performance Charts: Visual performance data
  • Action Buttons: Apply recommendations directly
  • Filter Options: Filter recommendations by type
  • Priority Indicators: Highlight high-priority recommendations
  • Implementation Status: Track recommendation adoption

Data Models​

Chat Message Model​

interface ChatMessage {
  id: string;
  conversation_id: string;
  role: 'user' | 'assistant';
  content: string;
  timestamp: Date;
  metadata?: {
    file_attachments?: string[];
    code_blocks?: CodeBlock[];
    formatting?: MessageFormatting;
  };
}

Recommendation Model​

interface Recommendation {
  id: string;
  type: 'performance' | 'budget' | 'audience' | 'creative' | 'bidding' | 'scheduling';
  priority: 'low' | 'medium' | 'high' | 'critical';
  title: string;
  description: string;
  rationale: string;
  expected_impact: string;
  implementation_steps: string[];
  related_ads: string[];
  status: 'pending' | 'applied' | 'dismissed';
  created_at: Date;
  applied_at?: Date;
}

Conversation Model​

interface Conversation {
  id: string;
  user_id: string;
  client_id: string;
  title: string;
  created_at: Date;
  updated_at: Date;
  message_count: number;
  last_message_at: Date;
}

API Endpoints​

AI Assistant​

  • POST /api/v1/ai/chat/messages - Send message to AI
  • GET /api/v1/ai/chat/conversations - List conversations
  • POST /api/v1/ai/chat/conversations - Create new conversation
  • GET /api/v1/ai/chat/conversations/{id}/messages - Get conversation messages
  • DELETE /api/v1/ai/chat/conversations/{id} - Delete conversation
  • POST /api/v1/ai/chat/export - Export conversation

Recommendations​

  • GET /api/v1/recommendations - List recommendations
  • POST /api/v1/recommendations/{id}/apply - Apply recommendation
  • POST /api/v1/recommendations/{id}/dismiss - Dismiss recommendation
  • GET /api/v1/recommendations/analytics - Get recommendation analytics
  • POST /api/v1/recommendations/generate - Generate new recommendations

AI Integration​

OpenAI Integration​

  • GPT-4 Model: Primary language model
  • Custom Prompts: Tailored prompts for marketing context
  • Token Management: Efficient token usage
  • Rate Limiting: Respect API rate limits
  • Error Handling: Graceful handling of API errors

Custom AI Models​

  • Recommendation Engine: Custom model for ad recommendations
  • Performance Analysis: Specialized analysis algorithms
  • Pattern Recognition: Identify performance patterns
  • Anomaly Detection: Detect unusual performance metrics

Permissions & Access Control​

AI Assistant Permissions​

  • Access Chat: All authenticated users
  • Create Conversations: All authenticated users
  • Export Conversations: All authenticated users
  • Delete Conversations: Conversation owner only
  • Admin Access: Full conversation management

Recommendations Permissions​

  • View Recommendations: All authenticated users
  • Apply Recommendations: Admin and Super Admin
  • Generate Recommendations: Admin and Super Admin
  • Analytics Access: Admin and Super Admin

Business Rules​

Chat Rules​

  1. Conversations are private to the user
  2. Messages are processed in real-time
  3. File uploads are limited to 10MB
  4. Conversation history is retained for 90 days
  5. AI responses are generated within 30 seconds

Recommendation Rules​

  1. Recommendations are generated daily
  2. High-priority recommendations are highlighted
  3. Applied recommendations are tracked
  4. Dismissed recommendations are not re-generated
  5. Recommendations expire after 30 days

Performance Considerations​

Chat Performance​

  • Response Time: < 5 seconds for AI responses
  • Concurrent Users: Support 100+ simultaneous users
  • Message History: Efficient pagination for large conversations
  • Caching: Cache frequent AI responses
  • Rate Limiting: Prevent API abuse

Recommendations Performance​

  • Generation Time: < 2 minutes for full analysis
  • Data Processing: Efficient batch processing
  • Storage: Optimized storage for recommendation data
  • Updates: Real-time recommendation updates
  • Caching: Cache recommendation results

Error Handling​

Chat Errors​

  • API Timeouts: Graceful timeout handling
  • Rate Limiting: Queue messages when rate limited
  • Invalid Input: Validate user input
  • File Upload Errors: Handle file upload failures
  • Network Errors: Retry failed requests

Recommendation Errors​

  • Data Unavailable: Handle missing data gracefully
  • Analysis Failures: Fallback to basic recommendations
  • API Errors: Retry failed API calls
  • Storage Errors: Handle database failures
  • Processing Errors: Log and recover from errors

Security Considerations​

Data Privacy​

  • Message Encryption: Encrypt chat messages
  • Data Retention: Automatic data cleanup
  • Access Logging: Log all AI interactions
  • PII Protection: Remove personally identifiable information
  • Compliance: GDPR and CCPA compliance

API Security​

  • Authentication: Secure API authentication
  • Rate Limiting: Prevent abuse
  • Input Validation: Validate all inputs
  • Output Sanitization: Sanitize AI responses
  • Audit Logging: Comprehensive audit trails

Testing Strategy​

Unit Tests​

  • Message Processing: Test message handling
  • AI Integration: Test API interactions
  • Recommendation Logic: Test recommendation algorithms
  • Error Handling: Test error scenarios
  • Validation: Test input validation

Integration Tests​

  • API Endpoints: Test all API endpoints
  • Database Operations: Test data persistence
  • External APIs: Test third-party integrations
  • Authentication: Test security measures

End-to-End Tests​

  • User Workflows: Test complete user journeys
  • AI Conversations: Test chat functionality
  • Recommendation Flow: Test recommendation process
  • Error Scenarios: Test error handling

Future Enhancements​

Planned Features​

  • Voice Interface: Voice-to-text chat
  • Image Analysis: Analyze uploaded images
  • Multi-language Support: Support multiple languages
  • Advanced Analytics: Deeper insights and analysis
  • Custom Models: Train custom AI models
  • Integration APIs: Third-party AI integrations
  • Mobile App: Native mobile application
  • Real-time Collaboration: Multi-user chat sessions