The Condition Node is a crucial component for creating dynamic, decision-based workflows. It allows for branching logic within a workflow, directing the flow based on specified conditions.

Key Features #

1. Multiple Condition Support
   • Ability to set up multiple conditions within a single node
   • Supports AND/OR logic between conditions
2. Diverse Comparison Operations
   • Equals
   • Contains
   • Starts with
   • Ends with
3. Dynamic Input Handling
   • Can evaluate data from any previous node in the workflow
   • Supports accessing specific fields from structured data
4. Customizable Node Name
   • Users can assign a custom name for easy identification in complex workflows
5. True/False Outputs
   • Separate output paths for when conditions are met (True) or not met (False)
6. Complex Data Type Handling
   • Can evaluate strings, numbers, booleans, and even compare structured data

Detailed Functionality #

Condition Setup #

1. Input Selection
   • Users can select input from previous nodes using a tag system
   • Example: [[field_name] from node-id]
2. Comparison Selection
   • Choose from a dropdown of comparison operations
3. Value Definition
   • Set the value to compare against
   • Can be static or dynamic (pulled from another node)

Logic Processing #

1. Evaluation Order
   • Conditions are evaluated from top to bottom
   • For multiple conditions, AND logic is applied by default
2. OR Logic Implementation
   • Users can group conditions to create OR logic
   • Example: (Condition A AND Condition B) OR (Condition C)

Branching Mechanism #

• The node has two outputs: True and False
• Workflow continues along the True path if conditions are met
• If conditions are not met, the False path is followed

Data Passing #

• All data from previous nodes is passed along, regardless of the path taken
• This ensures that subsequent nodes have access to all necessary information

Use Cases #

1. Content Routing
   • Direct content to different review processes based on category or length
2. User Journey Personalization
   • Tailor workflow paths based on user characteristics or behavior
3. Data Validation
   • Create complex validation rules for form submissions or data imports
4. Automated Customer Service
   • Route customer inquiries to appropriate departments based on content analysis
5. Dynamic Pricing Models
   • Adjust pricing or discounts based on various factors (time, stock levels, user history)
6. Compliance Checks
   • Ensure processes adhere to regulatory requirements based on input data
7. Error Handling
   • Create sophisticated error handling and recovery processes

Integration with Other Nodes #

• Often follows AI Model nodes to make decisions based on AI analysis
• Can precede different types of action nodes (e.g., Email, Post Creation) based on the condition outcome
• Works well with Human Input nodes for complex approval processes
• Can be chained together for multi-level decision trees

The Condition Node is a powerful tool for creating intelligent, adaptive workflows. It allows for the implementation of complex business logic, making workflows responsive to a wide variety of scenarios and data inputs. By effectively using Condition Nodes, users can create highly sophisticated automation processes that can handle nuanced decision-making typically reserved for human operators.