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implementation-plan.md

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AI Sales Agent Implementation Plan

System Architecture

graph TB
    subgraph Frontend
        UI[React UI Components]
        WSClient[WebSocket Client]
        Speech[Web Speech API]
        Audio[HTML5 Audio API]
    end

    subgraph Backend
        Server[Express Server]
        WSServer[WebSocket Server]
        Context[Context Manager]
        AI[AI Service]
        TTS[Text-to-Speech Service]
    end

    subgraph External
        OpenAI[OpenAI API]
        SmallestAI[Smallest.ai API]
        Redis[Redis Store]
    end

    UI --> WSClient
    UI --> Speech
    UI --> Audio
    WSClient <--> WSServer
    WSServer --> Server
    Server --> Context
    Context --> Redis
    Server --> AI
    AI --> OpenAI
    Server --> TTS
    TTS --> SmallestAI
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Implementation Phases

Phase 1: Project Setup and Basic Infrastructure (1-2 days)

  1. Project Structure Setup

    sales-agent/
├── client/                 # Frontend React application
│   ├── src/
│   │   ├── components/     # React components
│   │   ├── contexts/       # React contexts
│   │   ├── hooks/         # Custom hooks
│   │   ├── services/      # API services
│   │   └── utils/         # Utility functions
│   └── public/            # Static assets
├── server/                # Backend Node.js application
│   ├── src/
│   │   ├── config/       # Configuration
│   │   ├── controllers/  # Route controllers
│   │   ├── services/     # Business logic
│   │   ├── models/       # Data models
│   │   └── utils/        # Utility functions
│   └── tests/           # Backend tests
└── shared/              # Shared types and utilities

  2. Development Environment Setup

    • Initialize frontend and backend projects
    • Set up TypeScript configurations
    • Configure ESLint and Prettier
    • Set up environment variables

Phase 2: Frontend Implementation (2-3 days)

  1. Landing Page Development

    graph TB
    subgraph Layout
        Header[Header with Logo]
        Hero[Hero Section]
        Features[Features Section]
        Chat[Chat Widget]
    end

    subgraph ChatWidget
        Input[Text/Voice Input]
        Messages[Message Display]
        Controls[Audio Controls]
    end

    Chat --> Input
    Chat --> Messages
    Chat --> Controls
    Loading

  2. Chat Interface Components

    • Minimizable chat widget
    • Message display area with typing indicators
    • Text input with voice toggle
    • Audio playback controls
    • Error states and offline indicators

  3. Real-time Communication

    • WebSocket connection management
    • Automatic reconnection logic
    • Offline message queueing

Phase 3: Backend Implementation (2-3 days)

  1. Server Setup

    • Express.js application with TypeScript
    • WebSocket server configuration
    • Error handling middleware
    • Request validation

  2. Core Services

    graph LR
    subgraph Services
        CM[Context Manager]
        AS[AI Service]
        TS[TTS Service]
    end

    subgraph External
        Redis[(Redis)]
        OpenAI[OpenAI]
        SmallestAI[Smallest.ai]
    end

    CM --> Redis
    AS --> OpenAI
    TS --> SmallestAI
    Loading

  3. Context Management

    • Redis integration for conversation storage
    • Session management
    • Context pruning and cleanup

Phase 4: AI Integration (2-3 days)

  1. OpenAI Integration

    • Prompt engineering for sales agent persona
    • Context window management
    • Response streaming

  2. Voice Processing

    • Web Speech API integration
    • Smallest.ai TTS integration
    • Audio streaming and caching

Phase 5: Error Handling and Recovery (1-2 days)

  1. Frontend Error Handling

    • Connection status indicators
    • Retry mechanisms
    • Offline mode support
    • Error messages and notifications

  2. Backend Error Handling

    • API error handling
    • WebSocket connection recovery
    • Rate limiting
    • Service fallbacks

Phase 6: Testing and Optimization (2-3 days)

  1. Testing

    • Unit tests for critical components
    • Integration tests for API endpoints
    • End-to-end testing of chat flow
    • Performance testing

  2. Optimization

    • Response time optimization
    • Audio latency reduction
    • Memory usage optimization
    • Load testing and scaling

Technical Specifications

Frontend Technologies

  • React 18 with TypeScript
  • Socket.io-client for WebSocket
  • Web Speech API for voice input
  • HTML5 Audio API for voice output
  • TailwindCSS for styling
  • React Query for data management

Backend Technologies

  • Node.js with Express
  • Socket.io for WebSocket server
  • Redis for context storage
  • OpenAI API integration
  • Smallest.ai API integration
  • TypeScript for type safety

API Endpoints

graph LR
    subgraph HTTP
        Init[POST /api/chat/init]
        Health[GET /api/health]
    end

    subgraph WebSocket
        Connect[WS /socket]
        Message[message]
        Status[status]
    end
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WebSocket Events

  • connect: Initial connection
  • message: Chat messages
  • typing: Typing indicators
  • status: Connection status
  • error: Error events

Error Handling Strategy

  1. Connection Issues

    • Automatic reconnection with exponential backoff
    • Offline message queueing
    • Status indicators in UI

  2. API Failures

    • Retry mechanisms for failed requests
    • Fallback responses
    • User-friendly error messages

  3. Resource Issues

    • Memory usage monitoring
    • Cache management
    • Performance degradation handling

Timeline and Milestones

  1. Week 1

    • Project setup and infrastructure
    • Basic frontend implementation
    • WebSocket integration

  2. Week 2

    • Backend services implementation
    • AI and voice integration
    • Initial testing

  3. Week 3

    • Error handling implementation
    • Performance optimization
    • Final testing and deployment

Future Enhancements

  1. Integration with additional channels (WhatsApp, Slack, Email)
  2. Advanced analytics and reporting
  3. Multi-language support
  4. Custom voice model training
  5. A/B testing for different sales approaches