Core Concepts

Architecture Overview

Plasma is built on a modular architecture that allows for flexible and scalable applications.

Key Components

Engine Core

The main processing engine that handles all business logic and data flow.

AI Module

Advanced AI capabilities for intelligent automation and decision-making.

File System

Efficient file management and organization with built-in security.

CRM Integration

Seamless customer relationship management with CSV import/export.

Data Flow

The data flow in Plasma follows a predictable pattern:

1. Input Layer - Receives data from various sources
2. Processing Layer - Applies business logic and transformations
3. AI Layer - Enhances data with intelligent insights
4. Output Layer - Delivers results to the appropriate destination

State Management

Plasma uses a centralized state management system that ensures:

• Consistency - All components have access to the same data
• Predictability - State changes follow a clear pattern
• Debuggability - Easy to track and debug state changes

Important: Always use the provided state management utilities to ensure consistency across your application.

Event System

The event system allows different parts of your application to communicate:

// Listen for events
plasma.on('data:processed', (data) => {
  console.log('Data processing complete:', data);
});

// Emit events
plasma.emit('user:action', { action: 'click', target: 'button' });

Best Practices

• Keep your modules small and focused
• Use the event system for loose coupling
• Leverage AI capabilities for enhanced user experience
• Follow the established patterns for consistency

Concept Complete