Implementation

Changes Made

Project Structure

prompt-manager/
├── src/
│   ├── app/
│   │   ├── layout.js (17 lines) - Root layout with metadata
│   │   ├── page.js (21 lines) - Main page with splash screen integration
│   │   ├── globals.css (144 lines) - Tailwind CSS styling
│   │   └── favicon.ico (31KB) - Application icon
│   └── components/
│       ├── PromptManager.js (265 lines) - Main application component
│       ├── CreatePromptModal.js (249 lines) - Prompt creation interface
│       ├── EditPromptModal.js (265 lines) - Prompt editing interface
│       ├── PromptCard.js (169 lines) - Individual prompt display
│       ├── CustomPropertiesSection.js (138 lines) - Advanced properties management
│       ├── ExportModal.js (580 lines) - Multi-format export functionality
│       ├── ImportModal.js (386 lines) - Markdown file import system
│       ├── DeleteConfirmModal.js (55 lines) - Confirmation dialogs
│       ├── SearchBar.js (20 lines) - Search functionality
│       ├── StatisticsSection.js (59 lines) - Usage analytics display
│       ├── ActionHeader.js (40 lines) - Action buttons and controls
│       ├── Navigation.js (18 lines) - Navigation component
│       └── SplashScreen.js (144 lines) - Welcome screen with animations
├── package.json (27 lines) - Dependencies and scripts
├── next.config.mjs (5 lines) - Next.js configuration
├── postcss.config.mjs (6 lines) - PostCSS configuration
├── eslint.config.mjs (15 lines) - ESLint configuration
├── jsconfig.json (8 lines) - JavaScript configuration
└── .gitignore (42 lines) - Git ignore patterns

Dependencies Added

• Core Framework: Next.js 15.4.4, React 19.1.0, React-DOM 19.1.0
• UI Components: Lucide React 0.525.0 (icon library)
• Markdown Editor: @uiw/react-md-editor 4.0.8 (rich text editing)
• File Processing: jszip 3.10.1 (ZIP file creation for exports)
• Styling: Tailwind CSS 4 (utility-first CSS framework)
• Development: ESLint 9, PostCSS 4

Configuration Files

• next.config.mjs: Next.js configuration with default settings
• postcss.config.mjs: PostCSS configuration for Tailwind CSS
• eslint.config.mjs: ESLint configuration with Next.js rules
• jsconfig.json: JavaScript path mapping and module resolution
• .gitignore: Comprehensive ignore patterns for Next.js projects

Technical Details

Core Application Architecture

The application follows a component-based architecture with the main PromptManager component orchestrating all functionality:

// src/components/PromptManager.js - Main state management
const [prompts, setPrompts] = useState([]);
const [searchTerm, setSearchTerm] = useState('');
const [selectedPrompt, setSelectedPrompt] = useState(null);

Variable Templating System

Implemented automatic variable extraction from prompt content using regex patterns:

// Variable extraction from content
const extractVariables = (content) => {
  const variableRegex = /\{\{([^}]+)\}\}/g;
  const matches = [...content.matchAll(variableRegex)];
  return [...new Set(matches.map(match => match[1]))];
};

Advanced Export Functionality

Multi-format export system supporting JSON, Markdown, and CSV with ZIP bundling:

// src/components/ExportModal.js - Export format handling
const exportToJSON = (prompt) => {
  const exportData = {
    name: prompt.name,
    description: prompt.description,
    content: prompt.content,
    variables: prompt.variables,
    category: prompt.category,
    ...(includeMetadata && {
      createdAt: prompt.createdAt,
      lastUsed: prompt.lastUsed,
      usageCount: prompt.usageCount
    })
  };
  return JSON.stringify(exportData, null, 2);
};

Markdown Import System

Intelligent markdown file parsing with automatic metadata extraction:

// src/components/ImportModal.js - Markdown parsing
const parseMarkdownFile = (content, filename) => {
  const titleMatch = content.match(/^#\s+(.+)$/m);
  const title = titleMatch ? titleMatch[1].trim() : filename.replace(/\.(md|markdown)$/i, '');
  
  const variableRegex = /\{\{([^}]+)\}\}/g;
  const matches = [...content.matchAll(variableRegex)];
  const variables = [...new Set(matches.map(match => match[1].trim()))];
  
  return {
    name: title,
    description: description,
    content: content,
    variables: variables,
    category: 'Custom'
  };
};

Custom Properties System

Advanced feature for generating structured data from prompts:

// src/components/CustomPropertiesSection.js - Custom properties
const generateCustomPropertiesPrompt = (properties) => {
  if (!properties || properties.length === 0) {
    return '';
  }
  
  const propertiesList = properties.map(prop => `"${prop}": "value"`).join(', ');
  return `\n\nPlease return the following information as a JSON object at the end of your response:\n{\n  ${propertiesList}\n}`;
};

Responsive UI Design

Modern, responsive interface using Tailwind CSS with consistent design patterns:

/* src/app/globals.css - Global styling */
@tailwind base;
@tailwind components;
@tailwind utilities;

/* Custom animations and transitions */
.animate-fadeOut {
  animation: fadeOut 1s ease-in-out forwards;
}

.animate-slideInDown {
  animation: slideInDown 0.6s ease-out;
}

Integration Points

Component Communication

• State Management: Centralized state in PromptManager with prop drilling to child components
• Event Handling: Consistent event handling patterns across all modal components
• Data Flow: Unidirectional data flow from parent to child components with callback functions

File System Integration

• Import System: File API integration for markdown file processing
• Export System: Blob API and JSZip for multi-format file generation
• Download Handling: Browser-native download functionality with proper MIME types

External Dependencies

• Markdown Editor: @uiw/react-md-editor integration for rich text editing
• Icon System: Lucide React icons for consistent visual language
• ZIP Creation: JSZip library for bundling multiple export files

Documentation

Component API Reference

• PromptManager: Main application component with full CRUD operations
• CreatePromptModal: Form-based prompt creation with validation
• EditPromptModal: In-place prompt editing with variable management
• ExportModal: Multi-format export with metadata options
• ImportModal: Markdown file import with automatic parsing
• CustomPropertiesSection: Advanced properties for structured output

Usage Examples

// Creating a new prompt
const newPrompt = {
  name: 'Customer Analysis',
  description: 'Analyze customer data for insights',
  content: 'Analyze {{customer_data}} for {{customer_name}}',
  variables: ['customer_data', 'customer_name'],
  category: 'Analysis'
};

// Exporting prompts
const exportData = prompts.map(prompt => exportToJSON(prompt));
const zip = await createZipArchive(exportData);

Configuration Options

• Export Formats: JSON, Markdown, CSV with optional metadata
• Import Formats: Markdown files with automatic variable detection
• Custom Properties: Structured data generation for LLM responses
• Search Functionality: Real-time filtering across name, description, and category

Performance Considerations

• Lazy Loading: Modal components loaded on-demand
• Efficient Rendering: React.memo for performance optimization
• File Processing: Asynchronous file operations with progress indicators
• Memory Management: Proper cleanup of file handles and event listeners

Implementation

Changes Made

New Files Created:

• src/components/SplashScreen.js - Complete splash screen component with staggered animations
• changelog/2025-01-27_03.md - This changelog entry

Files Modified:

• src/app/page.js - Added splash screen integration with state management
• src/app/globals.css - Added custom CSS animations for splash screen effects
• src/components/PerplexityConfig.js - Enhanced with custom properties management

Tree Structure:

src/
├── app/
│   ├── page.js (modified)
│   └── globals.css (modified - added animations)
├── components/
│   ├── SplashScreen.js (new)
│   └── PerplexityConfig.js (enhanced)
└── changelog/
    └── 2025-07-23_03.md (new)

Technical Details

Splash Screen Implementation (src/components/SplashScreen.js)

Animation System:

• Phase-based animation control with 4 distinct phases (0-3)
• 1-second intervals between phases for optimal visual rhythm
• 6-second total duration with smooth fade-out transition

Key Features:

• Gradient background: bg-gradient-to-br from-blue-900 via-purple-900 to-indigo-900
• Floating animated orbs with staggered pulse delays
• Staggered text animations: Welcome text slides down, tagline slides up
• Icon animations: Bounce-in effects for Import/Augment/Export, spin-in for Repeat
• Loading indicator with bouncing dots
• Floating database icon with continuous float animation

Animation Classes Added:

.animate-slideInDown, .animate-slideInUp, .animate-slideOutUp
.animate-fadeOut, .animate-fadeIn, .animate-bounceIn
.animate-spinIn, .animate-float

Custom Properties Feature (src/components/PerplexityConfig.js)

New Functionality:

• Dynamic custom properties management with add/remove capabilities
• Real-time placeholder preview in prompt editor
• Integration with existing Perplexity AI configuration
• Visual distinction between CSV fields and custom properties

Key Components:

• Custom properties input with Enter key support
• Property list with individual remove buttons
• Purple-themed styling for custom properties
• Instructions panel explaining the workflow

State Management:

• newProperty state for input field
• Integration with existing perplexityConfig.customProperties array
• Validation to prevent duplicate properties

CSS Animations (src/app/globals.css)

Custom Keyframes:

@keyframes slideInDown, slideInUp, slideOutUp
@keyframes fadeOut, fadeIn, bounceIn, spinIn, float

Animation Classes:

• Smooth transitions with ease-out timing
• Configurable durations (0.8s - 3s)
• Transform-based animations for performance
• Opacity and scale effects for visual impact

Page Integration (src/app/page.js)

State Management:

• showSplash state controls splash screen visibility
• handleSplashComplete callback manages transition
• Conditional rendering with React Fragment

Integration Points

Splash Screen Integration:

• Seamlessly integrates with existing RecordCollector component
• No impact on existing functionality
• Maintains app state during splash display
• Smooth transition to main application

Custom Properties Integration:

• Extends existing PerplexityConfig store functionality
• Integrates with availableFields from record store
• Maintains backward compatibility with existing prompts
• Enhances AI augmentation workflow

Animation System:

• Custom CSS animations work alongside Tailwind utilities
• No conflicts with existing styling
• Performance-optimized with transform-based animations
• Responsive design maintained across screen sizes

Documentation

Splash Screen Usage:

The splash screen automatically displays on page load for 6 seconds, then transitions to the main application. No user interaction required.

Custom Properties Usage:

1. Navigate to PerplexityConfig component
2. Add custom properties in the "Custom Properties to Generate" section
3. Properties appear as placeholders in the prompt editor
4. AI will research and generate these properties for each record

Animation Customization:

All animations are defined in src/app/globals.css and can be modified by adjusting:

• Keyframe definitions for animation behavior
• Animation class durations and timing functions
• Phase timing in SplashScreen component

API Integration:

Custom properties integrate with Perplexity AI API through the existing prompt system, allowing dynamic property generation based on user-defined requirements.

Implementation

Changes Made

• Removed Export All button from src/components/RecordCollector.js
• Added Download Local functionality to src/components/ExportPage.js
• Implemented individual loading animations in src/components/AugmentPage.js and src/components/RecordCard.js
• Updated icon imports across components

Technical Details

Export Functionality Reorganization

• File: src/components/RecordCollector.js

  • Removed handleExportAll function (lines 18-47)
  • Removed Download icon import
  • Simplified header button layout to only show "Import CSV" and "Delete All"

• File: src/components/ExportPage.js

  • Added Download icon import
  • Implemented handleDownloadLocal function with CSV export logic
  • Added "Download Local" button between "Select All" and "Push to Remote" buttons
  • Button shows selected record count and is disabled when no records selected

Individual Loading Animations

• File: src/components/AugmentPage.js

  • Added processingRecords state (Set) to track individual record processing
  • Updated handleAugment function to add/remove record IDs from processing set
  • Pass isProcessing prop to RecordCard based on processing status

• File: src/components/RecordCard.js

  • Added isProcessing prop (defaults to false)
  • Implemented loading overlay with spinner and "Augmenting..." text
  • Overlay appears when isProcessing is true with backdrop blur effect

Integration Points

• Export functionality now properly separated between Record Collector (management) and Export page (export operations)
• Loading animations provide real-time feedback during AI augmentation process
• Consistent visual design maintained across components

Documentation

• Export page now provides both local download and remote push options
• Loading animations clearly indicate which records are being processed
• User can select specific records for export rather than being forced to export all

Implementation

Changes Made

Core Application Structure

• Next.js 14 Setup: Initialized with App Router and Tailwind CSS
• Project Structure: Organized components, pages, and utilities
• Dependencies: Added zustand, papaparse, lucide-react for state management, CSV parsing, and icons

Phase 1: Import & Record Management

• src/app/page.js: Main Record Collector page with comprehensive record management
• src/components/RecordCollector.js: Core component with CSV import, record display, search, and statistics
• src/components/ImportModal.js: Modal for CSV file upload with drag-and-drop support
• src/components/RecordCard.js: Individual record display with augmentation status indicators
• src/components/SearchBar.js: Real-time search functionality
• src/components/DeleteConfirmModal.js: Confirmation dialog for record deletion
• src/lib/csvParser.js: Robust CSV parsing with quoted field handling
• src/lib/store.js: Zustand store for record management and augmentation data

Phase 2: AI Augmentation

• src/app/augment/page.js: AI augmentation page with record selection
• src/components/AugmentPage.js: Main augmentation interface with Perplexity AI integration
• src/components/PerplexityConfig.js: Configuration panel for API keys, prompts, and settings
• src/components/AugmentationResults.js: Results display with markdown rendering and export
• API Integration: Real Perplexity AI API calls with simulation mode toggle
• Prompt System: Custom prompt editor with placeholder replacement

Phase 3: Export

• src/app/export/page.js: Export page for data selection and remote push
• src/components/ExportPage.js: Export interface with record selection and statistics
• Export Functionality: CSV export with augmentation data, simulated remote push

Navigation & Layout

• src/app/layout.js: Root layout with global navigation
• src/components/Navigation.js: Global navigation bar with three-phase routing
• src/app/globals.css: Global styles with Tailwind CSS integration

Documentation

• RecordCollector.md: Comprehensive project documentation with three-phase architecture
• Changelog System: Established changelog structure for tracking changes

Technical Details

State Management Architecture

// Zustand Store Structure
{
  records: Array<Record>,
  selectedRecord: Record | null,
  addRecords: (records: Record[]) => void,
  deleteRecord: (id: string) => void,
  deleteAllRecords: () => void,
  updateRecordAugmentation: (id: string, data: AugmentationData) => void
}

Record Data Model

interface Record {
  id: string;
  name: string;
  industry: string;
  size: string;
  location: string;
  annual_revenue: number;
  website: string;
  contact_email: string;
  augmentationResults?: AugmentationData;
  lastAugmented?: string;
}

AI Integration Features

• Perplexity AI API: Real HTTP requests with proper error handling
• Simulation Mode: Toggle between real API and simulated responses
• Prompt Templates: Customizable prompts with placeholder replacement
• Batch Processing: Multi-record augmentation with progress tracking
• Result Storage: Augmentation results stored in Zustand store

Responsive Design Implementation

• Mobile-First: Responsive breakpoints (768px, 1024px)
• Grid System: Dynamic column layouts (1-3 columns based on screen size)
• Component Patterns: Consistent card, button, and modal designs
• Accessibility: Proper ARIA labels and keyboard navigation

CSV Processing

• Robust Parsing: Handles quoted fields, embedded commas, escaped quotes
• Data Validation: Required field checking and type conversion
• Error Handling: Comprehensive error messages and validation
• Export Functionality: Full data export with augmentation results

Integration Points

Component Dependencies

• RecordCard: Displays both original and augmented data
• Navigation: Seamless routing between three phases
• Store Integration: Centralized state management across all components
• Modal System: Consistent modal patterns for import, delete, and configuration

API Integration

• Perplexity AI: REST API integration with authentication
• Error Handling: Graceful failure handling and user feedback
• Rate Limiting: Simulated delays and proper request management
• Configuration: API key management and feature toggles

Data Flow

1. Import: CSV → Parse → Validate → Store
2. Augment: Select → Configure → Process → Store Results
3. Export: Select → Format → Export/Push

Documentation

Project Structure

src/
├── app/
│   ├── layout.js (Global navigation)
│   ├── page.js (Record Collector)
│   ├── augment/page.js (AI Augmentation)
│   └── export/page.js (Data Export)
├── components/
│   ├── RecordCollector.js (Main record management)
│   ├── AugmentPage.js (AI augmentation interface)
│   ├── ExportPage.js (Export and remote push)
│   ├── RecordCard.js (Individual record display)
│   ├── PerplexityConfig.js (AI configuration)
│   ├── AugmentationResults.js (Results display)
│   ├── ImportModal.js (CSV import dialog)
│   ├── Navigation.js (Global navigation)
│   └── [Other UI components]
└── lib/
    ├── store.js (Zustand store)
    └── csvParser.js (CSV parsing utilities)

Key Features Implemented

• Three-Phase Workflow: Import → Augment → Export
• AI Integration: Perplexity AI with real/simulation modes
• Data Management: Complete CRUD operations for records
• Export Capabilities: CSV export with augmentation data
• Responsive Design: Mobile-first responsive layout
• State Management: Centralized Zustand store
• Error Handling: Comprehensive error management
• User Experience: Intuitive navigation and feedback

Performance Optimizations

• Lazy Loading: Components loaded on demand
• Debounced Search: Real-time search optimization
• Efficient Rendering: React optimization patterns
• Memory Management: Proper cleanup and state management

Security Considerations

• API Key Management: Secure input fields with show/hide toggle
• Data Validation: Input sanitization and validation
• Client-Side Only: No server-side data storage (current implementation)
• Error Boundaries: Graceful error handling without data exposure

Conclusion

Phase 1 of the Data Augmenter project has successfully established a solid foundation with comprehensive data import, management, and basic AI augmentation capabilities. The three-phase architecture provides a clear roadmap for future development, with each phase building upon the previous one to create a complete data enhancement platform.

The current implementation demonstrates modern React/Next.js best practices, responsive design principles, and scalable architecture patterns that will support the planned enhancements in Phases 2 and 3.

Architecture

The application follows a client-server architecture with the following key components:

graph TD
    A[Client] --> B[Supabase Auth]
    A --> C[Supabase Database]
    A --> D[AI Models]
    D --> D1[Anthropic Claude]
    D --> D2[OpenAI GPT]
    D --> D3[Perplexity]
    
    subgraph Client
    E[React Components] --> F[Zustand Store]
    F --> G[Supabase Client]
    F --> H[AI SDKs]
    end

Core Technologies

• Frontend: React 18 with TypeScript
• Build Tool: Vite
• Styling: TailwindCSS with Typography plugin
• State Management: Zustand
• Authentication: Supabase Auth
• Database: Supabase PostgreSQL
• AI Integration:
  • Anthropic Claude SDK
  • OpenAI GPT
  • Perplexity
• UI Components:
  • CodeMirror for code editing
  • Lucide React for icons
  • MDX for rich text editing

Project Structure

src/
├── assets/           # Static assets (icons, images)
├── components/       # Reusable React components
├── lib/              # Utility functions and API clients
├── store/            # Zustand state management
├── types/            # TypeScript type definitions
└── App.tsx          # Root component

Key Components

1. App.tsx

The root component that handles:

• Authentication flows (login, signup, password reset)
• Initial data loading
• Routing (implicit based on auth state)

2. Core UI Components

DataModelModal

• Purpose: Modal for viewing and editing data models
• Key Features:
  • Form for creating/editing data models
  • Field type definitions
  • Validation rules

EditQueryOptions

• Purpose: Interface for configuring query parameters
• Key Features:
  • Model selection
  • Temperature and other AI parameters
  • Prompt customization

HighlightsContextWrapper

• Purpose: Context provider for managing highlighted content
• Key Features:
  • Manages highlight state
  • Coordinates between different highlightable components

MDXEditor

• Purpose: Rich text editor for prompt content
• Key Features:
  • Markdown support
  • Code block highlighting
  • Inline formatting

MainLayout

• Purpose: Main application layout component
• Key Features:
  • Navigation sidebar
  • Responsive design
  • User menu and settings

PromptList

• Purpose: Displays list of available prompt templates
• Key Features:
  • Search and filter functionality
  • Template preview
  • Selection handling

PromptSection

• Purpose: Individual section within a prompt template
• Key Features:
  • Toggle between edit and preview modes
  • Model-specific configuration
  • Content validation

QueryResponse

• Purpose: Displays AI model responses
• Key Features:
  • Syntax highlighting
  • Response actions (copy, regenerate, etc.)
  • Error handling

RecordList

• Purpose: Displays data records
• Key Features:
  • Pagination
  • Sorting and filtering
  • Selection management

PasswordReset

• Purpose: Handles password reset flow
• Key Features:
  • Email validation
  • Error handling
  • Success feedback

PromptSectionEdit

• Purpose: Edit interface for prompt sections
• Key Features:
  • Rich text editing
  • Model configuration
  • Preview toggle

PromptSectionPreview

• Purpose: Read-only view of prompt sections
• Key Features:
  • Rendered markdown
  • Section actions (edit, delete)
  • Model badge display

QueryOptionsIconSet

• Purpose: Visual indicators for query options
• Key Features:
  • Model type icons
  • Parameter indicators
  • Interactive tooltips

QueryResponseList

• Purpose: Manages multiple query responses
• Key Features:
  • Response grouping
  • Version comparison
  • Batch actions

RecordHighlightsWrapper

• Purpose: Context for record highlighting
• Key Features:
  • Highlight management
  • Cross-component synchronization
  • Persistence

RequestEditor

• Purpose: Interface for crafting API requests
• Key Features:
  • Parameter editing
  • Request preview
  • History tracking

ResponseHighlight

• Purpose: Highlights specific response sections
• Key Features:
  • Custom highlight colors
  • Note attachment
  • Shareable links

ResponseObjectContextWrapper

• Purpose: Manages response object state
• Key Features:
  • Context provider
  • State persistence
  • Event handling

ResponseObjectHighlighter

• Purpose: Interactive response highlighting
• Key Features:
  • Text selection
  • Color coding
  • Annotation

ResponseObjectReviewer

• Purpose: Interface for reviewing responses
• Key Features:
  • Side-by-side comparison
  • Commenting
  • Approval workflow

UpdatePassword

• Purpose: Password update interface
• Key Features:
  • Current password verification
  • New password validation
  • Strength indicator

UserProfile

• Purpose: User account management
• Key Features:
  • Profile editing
  • API key management
  • Account settings

3. State Management (store/index.ts)

The application uses Zustand for state management with the following key state:

interface AppState {
  // Data
  records: Record[];
  selectedRecord: Record | null;
  promptTemplates: PromptTemplate[];
  selectedTemplate: PromptTemplate | null;
  aiModels: AIModel[];
  user: User | null;
  profile: UserProfile | null;
  computedProperties: ComputedProperty[];
  aiModelConfigs: AIModelConfig[];
  queryResponses: QueryResponse[];
  highlights: Highlight[];
  
  // Actions
  setSelectedRecord: (record: Record | null) => void;
  setSelectedTemplate: (template: PromptTemplate | null) => void;
  addPromptTemplate: (template: PromptTemplate) => Promise<void>;
  // ... other actions
}

3. Prompt Management

The application allows creating and managing AI prompt templates with multiple sections:

classDiagram
    class PromptTemplate {
        +string id
        +string name
        +string description
        +PromptSection[] sections
        +string created_at
    }
    
    class PromptSection {
        +string id
        +string title
        +string content
        +string modelId
        +object options
    }
    
    PromptTemplate "1" *-- "many" PromptSection

4. AI Integration

The application integrates with multiple AI models through a unified interface:

// Example of generating AI response
const generateAIResponse = async (sectionId: string, modelId: string, prompt: string) => {
  // Implementation handles different AI providers
  const model = getAIModel(modelId);
  const response = await model.generate(prompt);
  // Process and store response
};

Data Model

Records

Customer data records that can be processed by AI models.

Prompt Templates

Reusable templates for generating AI prompts with configurable sections.

AI Models

Configuration for different AI models and providers.

Query Responses

Stores AI model responses for later reference.

Key Features

1. Template-Based AI Prompting

   • Create and manage prompt templates with multiple sections
   • Each section can use different AI models
   • Preview and edit capabilities

2. AI Model Integration

   • Support for multiple AI providers (Claude, GPT, Perplexity)
   • Configurable model parameters
   • Response highlighting and annotation

3. Data Management

   • CRUD operations for customer records
   • Bulk import/export functionality
   • Data validation and transformation

4. User Management

   • Authentication and authorization
   • User profiles and preferences
   • API key management

Code Examples

Example Component: PromptSection

interface PromptSectionProps {
  section: PromptSectionType;
  templateId: string;
}

export const PromptSection: React.FC<PromptSectionProps> = ({ section, templateId }) => {
  const [isEditing, setIsEditing] = React.useState(false);
  const selectedTemplate = useStore(state => state.selectedTemplate);
  
  // Get the current section from the selected template
  const currentSection = selectedTemplate?.sections.find(s => s.id === section.id);
  const sectionToRender = currentSection || section;

  return (
    <div id={`section-${section.id}`}>
      {isEditing ? (
        <PromptSectionEdit
          section={sectionToRender}
          templateId={templateId}
          onCancel={() => setIsEditing(false)}
          onSave={() => setIsEditing(false)}
        />
      ) : (
        <PromptSectionPreview
          section={sectionToRender}
          templateId={templateId}
          onEdit={() => setIsEditing(true)}
        />
      )}
    </div>
  );
};

Example Store Action: generateAIResponse

generateAIResponse: async (sectionId, modelId, prompt, sectionTitle) => {
  const { user } = get();
  if (!user) return;

  try {
    // Get model configuration
    const model = get().aiModels.find(m => m.id === modelId);
    if (!model) throw new Error('Model not found');

    // Generate response using appropriate handler
    let response;
    switch (model.provider) {
      case 'anthropic':
        response = await generateClaudeResponse(prompt, model);
        break;
      case 'openai':
        response = await generateGPTResponse(prompt, model);
        break;
      case 'perplexity':
        response = await generatePerplexityResponse(prompt, model);
        break;
      default:
        throw new Error(`Unsupported model provider: ${model.provider}`);
    }

    // Save response to store and database
    // ...
  } catch (error) {
    console.error('Error generating AI response:', error);
    throw error;
  }
}

Next Steps

Migration to Microservices and Microfrontends Architecture

When migrating to a microservices architecture, consider the following:

1. Service Decomposition

   • Auth Service: Handle authentication and user management
   • Template Service: Manage prompt templates and sections
   • AI Service: Handle AI model integration and response generation
   • Data Service: Manage customer records and query results

2. API Gateway

   • Implement an API gateway to route requests to appropriate services
   • Handle authentication and rate limiting

3. Event-Driven Architecture

   • Use message queues for async processing
   • Implement event sourcing for auditability

4. Data Management

   • Each service should have its own database
   • Implement data consistency patterns (Saga, CQRS)

Conclusion

The current codebase provides a solid foundation with clear separation of concerns. The migration to microservices should focus on: