🎯 The Challenge: No AI Integration Experience
Clients and businesses increasingly need AI-powered solutions integrated into their workflows. To demonstrate real-world capability, the goal was to:
- Build a Fully Functional AI Chatbot: Design and deploy a production-ready bot that processes natural language and returns intelligent responses.
- Self-Host the Entire Stack: No reliance on third-party chatbot platforms — full control over the automation engine, AI model, and cloud infrastructure.
- Deliver a Live, Testable Endpoint: A real API URL that anyone can send a message to and receive an AI-generated response in seconds.
The goal was to build a fully automated, cloud-hosted AI chatbot running 24/7 with zero manual intervention.
🛠️ The Solution: A 4-Node AI Workflow Architecture
I engineered a complete AI chatbot system using n8n as the central workflow engine, connected to Groq's LLaMA 3.3 70B model for ultra-fast AI inference.
Tech Stack
- Workflow Automation: n8n (self-hosted)
- AI Inference Engine: Groq API
- Large Language Model: LLaMA 3.3 70B Versatile
- Cloud Hosting: Render (24/7 uptime)
- Communication Protocol: Webhooks (REST API)
- Data Format: JSON
Architecture Overview
The system runs on a webhook-triggered model that ensures real-time, sequential processing:
- Trigger: User sends a POST request with a message to the webhook endpoint.