AI Code in GoHighLevel Workflows

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AI-Powered Custom Code in GoHighLevel Workflows

If you manage complex automations across tools like ClickUp and CRM platforms, learning how to use AI-powered custom code in GoHighLevel workflows can dramatically speed up implementation. This guide walks you through every step of enabling, generating, testing, and refining AI-generated code blocks directly inside your automations.

What Is AI-Powered Custom Code in GoHighLevel?

AI-powered custom code in GoHighLevel allows you to generate JavaScript and Python snippets inside workflow actions using a natural language prompt. Instead of writing code from scratch, you describe what you want the logic to do, and the system creates a ready-to-run code block.

This feature is designed for tasks such as:

  • Validating and transforming incoming data
  • Building conditional logic that exceeds standard workflow rules
  • Formatting dates, numbers, and text for external APIs
  • Creating reusable functions to plug into GoHighLevel workflows

All of this happens directly in the workflow builder, so you can keep your automations and code in a single, manageable place.

How to Add a GoHighLevel Custom Code Action

To start using AI-powered custom code in a GoHighLevel workflow, you first need to add the correct action:

  1. Open your Workflows section inside GoHighLevel.

  2. Create a new workflow or open an existing one where you want to add logic.

  3. Click the + button to add a new action.

  4. From the list of actions, choose Custom Code.

  5. Select your preferred runtime (JavaScript or Python) if prompted.

Once the custom code action is added, you will see an editor where you can either paste code manually or use the AI generator to write code for you.

Using GoHighLevel AI to Generate Custom Code

The AI assistant in GoHighLevel can generate code from plain English instructions. This helps even non-developers create powerful workflow logic.

Step 1: Open the AI Code Generator

  1. Inside your workflow’s Custom Code action, look for the AI generation option or assistant icon.

  2. Click it to open the prompt interface for AI-powered code creation.

Step 2: Write an Effective Prompt for GoHighLevel

To get useful output from the GoHighLevel AI generator, provide clear and specific instructions in your prompt. For example, include:

  • Goal: What the code must accomplish (e.g., validate an email address).
  • Inputs: Which fields or variables are available from the workflow.
  • Outputs: What you need to return (e.g., true/false, formatted text, or JSON).
  • Constraints: Any limits like date formats, character lengths, or required patterns.

An example style of prompt could be:

“Write JavaScript that takes a contact’s phone number from the workflow, removes non-numeric characters, and returns it in E.164 format. If the number is invalid, return a false value.”

The clearer your description, the less manual editing you will need to do after generation.

Step 3: Generate and Insert the Code

  1. After entering your prompt, click the button to generate code.

  2. Review the generated snippet inside the editor.

  3. If it looks correct, insert or confirm it so the code becomes part of your workflow action.

You can repeat this process in multiple actions to build layered logic throughout your GoHighLevel automation.

Editing and Refining AI Code in GoHighLevel

Even when the AI does most of the work, you may still want to refine, extend, or debug the code in GoHighLevel.

Manual Code Adjustments

Inside the custom code editor, you can:

  • Edit variable names to match your existing fields.
  • Add comments for clarity and future maintenance.
  • Extend logic with additional conditions or loops.
  • Remove any extra console logs or unused functions.

Because the code runs as part of your GoHighLevel workflow, changes can have immediate impact on live automations, so test carefully before deploying widely.

Regenerating Code with AI

If the first version is not accurate enough, you can:

  • Open the AI assistant again from the same action.
  • Clarify your prompt with more details or constraints.
  • Ask for a revised version that fixes a specific issue, such as:

“Regenerate the code but ensure it handles empty values without throwing errors and always returns a default string.”

This iterative approach lets you collaborate with the AI until the code perfectly matches your GoHighLevel automation needs.

Testing AI Custom Code in GoHighLevel Workflows

Testing is essential before you rely on any AI-generated logic in a production workflow.

Use Test Records

  1. Create or select a test contact or object in GoHighLevel.

  2. Trigger the workflow manually using this test record.

  3. Monitor the workflow execution to see if the custom code runs as expected.

Check Logs and Outputs

Depending on configuration, you can analyze:

  • Any error messages produced by the custom code.
  • Output fields that were updated or created by the code.
  • Subsequent actions that depend on the code’s result.

If something fails, adjust either the AI-generated code or your prompt and test again until the workflow runs smoothly.

Best Practices for AI Code in GoHighLevel

To keep your GoHighLevel workflows robust and maintainable, follow these best practices when working with AI-powered custom code:

  • Document logic using comments so that future team members understand what each block does.
  • Keep code focused on a single responsibility per custom code action.
  • Validate inputs to avoid runtime errors when data is missing or in the wrong format.
  • Use staging workflows for testing before applying changes to live automations.

These habits reduce errors and make your AI-assisted automation easier to scale inside GoHighLevel.

Where to Learn More About GoHighLevel AI Features

For the original documentation on AI-powered custom code generation in workflows, review the official guide on the GoHighLevel help center: AI-powered custom code generation in workflows.

If you need strategic help designing automation architectures or integrating GoHighLevel workflows with other platforms, you can also consult specialists at Consultevo for implementation support and training.

By combining clear prompts, careful testing, and structured best practices, you can use GoHighLevel AI-powered custom code generation to build advanced workflow logic quickly, without needing to hand-code every detail.

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