Automations

Add AI Helper to Generate JSON Schema for Premium Custom Webhook Actions
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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