In this video you will learn how to build a simple chatbot by combining Lovable AI and n8n webhooks. This is a practical beginner friendly walkthrough that shows you how to connect a basic website to n8n using a webhook, send user queries to an AI agent, fetch results from Wikipedia, and display formatted answers directly inside the webpage. If you are a marketer, entrepreneur, or someone interested in building your own AI agents without heavy coding, this tutorial will give you the exact steps to get started.
Chapters
00:00 Intro
00:48 What is a Webhook
01:42 Building the AI ChatBot in n8n
06:40 Import n8n Chat Bubble by using CDN Embed
08:00 Building a Lovable Webpage for AI Chatbot
10:17 Important Information regarding Webhooks
11:16 Testing the AI Chatbot
14:59 Vibe Coding Recap
Hi, I’m Sudhansh Jadon, a digital marketing strategist and entrepreneur with 16+ years of experience helping startups and businesses scale using AI, growth marketing, and digital strategy. I create content to help marketers go beyond prompts and build real AI-powered marketing systems.
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What you will learn in this video
We begin by revisiting the website we built earlier with Lovable and VS Code. On its own, the website is static, but with webhooks you can make it dynamic. A webhook is like a digital doorbell: when the website sends data, n8n hears it and responds. I explain how to create a webhook node in n8n, catch the data from a website form, and then use an AI agent node connected with the Wikipedia node to fetch answers. Finally, I show you how to send a formatted HTML card response back through the same webhook so the website can display the chatbot’s reply in real time.
By the end of this tutorial you will have a working chatbot that can answer questions using Wikipedia, all built with free or low cost tools like Lovable AI, n8n, and ChatGPT.
Why this is important
For marketers and growth professionals, learning how to connect web components with automation platforms is the foundation of agentic workflows. The same pattern you learn in this video — website → webhook → AI agent → response — can later be applied to build customer support bots, lead capture forms with instant responses, campaign research tools, and more complex Retrieval Augmented Generation (RAG) chatbots. Understanding this basic chatbot build means you are no longer limited to static landing pages, you can now create interactive AI powered web apps that engage users and feed data into your marketing stack.
Who should watch this video
• Marketers who want to experiment with AI chatbots and automation without hiring developers
• Entrepreneurs looking to build quick prototypes of customer facing tools
• Growth hackers who want to automate research and content workflows
• Students and professionals curious about how webhooks, AI, and Wikipedia can work together in a real project
Topics Covered in this Video
• What is a webhook in n8n
• How to create a webhook node and catch data from a website
• How to connect Lovable AI websites with n8n
• How to build a simple chatbot powered by Wikipedia
• Using AI Agent node with Wikipedia node in n8n
• Sending responses back to a website using HTML cards
• Practical use cases for marketers and growth professionals
• Why webhooks are the foundation of AI automation workflows
• How to turn static websites into interactive AI powered apps
Use Cases for Marketers
• Customer FAQ chatbots that answer common questions instantly
• Market research assistants that fetch and summarize competitor or industry data
• Campaign microsites that provide interactive experiences
• Lead forms that trigger real time personalized responses
• Educational tools and knowledge assistants embedded directly into landing pages
Next Steps
This video is part of a series on vibe coding and AI powered marketing automation. In the first video we covered the basics of vibe coding and building simple websites using Lovable AI and VS Code. In this second video we connect those websites to n8n with webhooks to create a chatbot. In the next videos we will show you how to stretch your Lovable credits using ChatGPT, explain the concept of RAG (Retrieval Augmented Generation), and build a RAG chatbot that combines Lovable, n8n, and vector databases. Make sure to subscribe so you don’t miss the full journey of building real AI marketing agents from scratch.
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