Markdown Text

Uncontrolled node

Overview

The Markdown Text node is a versatile text composition tool that uses Handlebars templating syntax to combine static text with dynamic data from your workflow. It allows you to create templates with placeholders like {{variableName}} that get replaced with actual values at runtime.

This node is particularly useful for:

• Building prompts for AI nodes
• Creating email templates
• Formatting messages or reports
• Combining multiple data sources into a single text output

The node automatically detects variables in your template (wrapped in double curly brackets {{}}) and creates corresponding input sockets for each unique variable found.

Templating Syntax

Use double curly brackets to reference variables: {{variableName}}. The node will automatically create input sockets for each unique variable name detected in your text.

Inputs

Input	Type	Description	Default
Text	RichText	The template text containing Handlebars expressions (e.g., Hello {{name}}). Variables are automatically detected and added as inputs.	-
Dynamic	Data	For each {{variable}} found in the text template, a corresponding input socket is created with the variable name.	-

Outputs

Output	Type	Description
Output	Text	The compiled text with all Handlebars expressions replaced by their corresponding input values.

Runtime Behavior

The Markdown Text node is uncontrolled, meaning it runs automatically whenever any of its inputs change. It uses the Handlebars templating engine to compile the text:

1. The node scans the text content for Handlebars expressions ({{variableName}})
2. It creates input sockets for each unique variable detected
3. At runtime, it compiles the template using the current values of all inputs
4. Variables are resolved from:
   • Direct inputs to the node
   • Parent workflow variables
   • Root workflow variables

If a referenced variable is not found, the placeholder is replaced with an empty string.

Example

Basic Template

Text Content:

Dear {{customerName}},

Thank you for your order of {{product}} on {{date}}.

Best regards,
{{senderName}}

Connected Inputs:

• customerName: "Alice Smith"
• product: "Premium Widget"
• date: "2024-01-15"
• senderName: "Support Team"

Output:

Dear Alice Smith,

Thank you for your order of Premium Widget on 2024-01-15.

Best regards,
Support Team

AI Prompt Building

Text Content:

You are a helpful assistant. Please analyze the following data and provide insights:

{{data}}

Focus on: {{focusArea}}

This pattern is commonly used to build dynamic prompts for the AI Write node, allowing you to inject data and instructions into AI workflows.