I've been working on an AI Customer Support Chatbot for a fictional fashion store, FashionHub, designed to automate customer support while keeping human assistance available when needed. 🛠️ Tech stack: n8n — Workflow automation WhatsApp Cloud API — Customer messaging Groq LLM — AI-powered responses RAG + Google Docs — Knowledge-based answers Gemini Embeddings + Vector Store — Knowledge retrieval Airtable — Conversation and order management Telegram — Human handoff and error alerts ✨ Key features: ✅ AI-powered customer support ✅ Retrieval-Augmented Generation (RAG) ✅ Conversation memory ✅ Order processing with customer confirmation ✅ Human handoff for complex issues ✅ Telegram notifications for support and workflow errors ✅ Webhook-based message processing 💡 My biggest takeaway: Building an AI agent is not just about connecting an LLM. It’s also about designing the workflow around it — handling data, retrieving reliable information, managing conversations, and planning for errors and human intervention. This is a portfolio project built for hands-on learning, and I’m continuing to improve its reliability and production readiness. I’m open to opportunities involving n8n automation, AI agents, API integrations, and workflow implementation. If you’re building AI-powered business workflows, I’d love to connect and learn from your experience!