Add AI Helper to Generate JSON Schema for Premium Custom Webhook Actions
A
Alexis Counts-CRM
Setting up Premium Custom Webhook Actions requires manually writing JSON schemas, which is complicated and time-consuming. Most users don't know how to write proper JSON schema syntax, leading to errors, frustration, and abandoned webhook setups.
Use Case:
We want to connect GHL to external tools (like Zapier, Make.com, custom APIs) using Premium Custom Webhook Actions. To do this, we need to:
Define what data fields the webhook should send
Write a JSON schema that describes those fields
Test and debug the schema until it works
Most people aren't developers and don't know JSON schema format. Even technical users spend a lot of time looking up syntax and fixing errors.
Current Limitation:
Users must manually write the entire JSON schema from scratch. There's no helper, template, or guidance within GHL. This creates a huge barrier to using Premium Custom Webhooks.
Requested Feature:
Add an AI Schema Builder that asks simple questions and automatically generates the correct JSON schema.
How It Should Work:
Step 1: User describes what they want
AI Prompt Box:
"Describe what data you want to send in this webhook.
Example: I want to send the contact's name, email, phone number, and the custom field 'membership_level'"
User types: "Send contact first name, last name, email, company name,
and custom field revenue_milestone"
Step 2: AI generates the schema
______
AI generates:
{
"type": "object",
"properties": {
"firstName": {
"type": "string",
"description": "Contact's first name"
},
"lastName": {
"type": "string",
"description": "Contact's last name"
},
"email": {
"type": "string",
"description": "Contact's email address"
},
"companyName": {
"type": "string",
"description": "Company name"
},
"revenueMilestone": {
"type": "string",
"description": "Custom field: revenue_milestone"
}
}
}
_____
Step 3: User can edit or regenerate
- Add another field
- Change email to be required
- Make this field a number instead of text
- AI updates the schema automatically
Additional Features:
1. Smart field suggestions - AI knows GHL's available fields and suggests them
2. Schema templates - Pre-built schemas for common integrations (Zapier, Slack, HubSpot)
3. Error checking - AI validates schema before saving
4. Plain English explanations - Shows what each part of the schema does
5. Test data generator - Creates sample payload to test the webhook
Expected Benefits:
- Faster setup - Generate schema in 2 minutes instead of 2 hours
- Fewer errors - AI writes correct syntax automatically
- More adoption - Non-technical users can use Premium Webhooks
- Better integrations - Easier to connect GHL with other tools
- Less support burden - Fewer support tickets about webhook setup
Example User Flow:
User: "I need to send event registration data to Zapier"
AI: "I'll help you build that schema. What information about the registration
do you want to send?"
User: "Contact name, email, event name, registration date, and number of tickets"
AI: "Got it! Here's your schema: [generates schema]
This will send 5 fields to Zapier. Would you like to add anything else or test it?"
User: "Looks good, save it"
AI: "Schema saved! Here's a test payload you can use to test your webhook: [shows example data]"
Business Impact:
- Democratizes webhooks - Anyone can set up integrations, not just developers
- Competitive advantage - Makes GHL easier to use than competitors
- Increases platform value - More integrations = more powerful platform
- Reduces support costs - Self-service schema creation
- Speeds up workflows - Faster setup = faster automation deployment
Technical Implementation:
This could use GHL's existing AI infrastructure (similar to AI content generation features) to:
- Parse natural language descriptions
- Map to GHL's data structure
- Generate valid JSON schema
- Provide interactive editing
Alternative Approach:
If full AI is not feasible, even a guided wizard would help:
____
Step 1: Select fields to include (checkboxes for common fields)
Step 2: Choose data types (dropdown for each field)
Step 3: Mark required fields (checkboxes)
Step 4: Preview & generate schema
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