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In this quick tutorial, you’ll learn how to bridge n8n with OpenAI’s custom GPTs to build fully automated, AI-driven workflows. We walk you through setting up an n8n webhook, configuring your OpenAI function-calling schema, and passing user inputs straight into your custom GPT for real-time, intelligent responses. By the end, you’ll have a seamless, code-free pipeline that you can drop into any automation to instantly add conversational AI. To learn more join us on skool: https://www.skool.com/ai-automation-a... Simply paste the JSON template into your editor, replace each {{ PLACEHOLDER }} with your own titles, URLs, field names and descriptions, and you’re all set—no manual craftsmanship needed. And if you get stuck on any placeholder, just ask ChatGPT to “help me fill in these fields,” and it will suggest precise, ready-to-use values. { "openapi": "3.1.0", "function_calling": { "mode": "auto" }, "info": { "title": "{{API_TITLE}}", "version": "{{API_VERSION}}", "description": "{{API_DESCRIPTION}}" }, "servers": [ { "url": "{{WEBHOOK_URL}}", "description": "{{SERVER_DESCRIPTION}}" } ], "paths": { "{{PATH}}": { "post": { "summary": "{{SUMMARY}}", "operationId": "{{OPERATION_ID}}", "requestBody": { "required": true, "content": { "application/json": { "schema": { "type": "object", "properties": { "{{PARAM_NAME}}": { "type": "string", "description": "{{PARAM_DESCRIPTION}}" } }, "required": ["{{PARAM_NAME}}"] } } } }, "responses": { "200": { "description": "{{RESPONSE_200_DESCRIPTION}}" }, "400": { "description": "{{RESPONSE_400_DESCRIPTION}}" } } } } } }