ANDRON: Core Workflow Concepts

What are Workflows?

A workflow is a visual representation of a series of automated tasks and actions. In ANDRON, workflows are built using a drag-and-drop interface, allowing you to create complex automation without writing code.

Key Workflow Components

1. Nodes: Individual units of action or processing
2. Edges: Connections between nodes that define data flow
3. Actions: Specific operations performed by nodes

Understanding Nodes and Actions

Node Types

ANDRON supports various node types:

• Input Nodes: Define initial workflow data
• Data Transformation Nodes: Modify and process data
• API Nodes: Interact with external services
• Conditional Nodes: Make decisions based on data
• Output Nodes: Final destination for workflow results
• AI Nodes: Leverage machine learning for complex tasks

Action Library

Each node contains a specific action from our comprehensive library:

• Text Processing
• HTTP Requests
• Mathematical Operations
• Email Sending
• Slack Notifications
• JSON Manipulation
• Database Interactions
• AI-powered Transformations

Data Flow Between Nodes

Nodes transfer data through a standardized output mechanism:

{
  output: any,  // Standardized output format
  metadata: {
    timestamp: string,
    nodeId: string
  }
}

Example Data Flow

[Input Node] → [Text Transform Node] → [Email Send Node]
  "Welcome"   →   "Welcome, User!"   →   Sends Personalized Email

Workflow Versions

ANDRON supports robust versioning:

• Create multiple versions of a workflow
• Track changes and modifications
• Revert to previous versions
• Compare different workflow iterations

Version Management

• Draft: Work-in-progress workflow
• Active: Current production version
• Archived: Historical workflow versions

Credits System

ANDRON uses a credit-based execution model:

• Each workflow and node consumes credits
• Credits are deducted based on complexity and resources used
• Real-time credit tracking in dashboard
• Different node types have varying credit costs

Credit Calculation Example

• Simple Text Node: 1 credit
• API Request Node: 5 credits
• AI Transformation Node: 10 credits

Workflow Execution Lifecycle

1. Create Workflow
2. Configure Nodes
3. Connect Nodes
4. Save Version
5. Run Workflow
6. Monitor Execution
7. Review Results

Best Practices

• Start with simple workflows
• Use input validation
• Handle potential errors
• Monitor credit consumption
• Optimize node connections

Related Documentation

• First Workflow Tutorial
• Platform Overview

Next Steps: Learn how to build your first workflow and understand the platform's capabilities!