I almost quit on my dreams in 2022. Back then, I was trying everything: AI blog writing Affiliate marketing Etsy templates Web dev Faceless YouTube Not because I loved any of it. Because I was desperate to earn. Every quarter, a new pivot. Every quarter, the same bank balance. The breaking point came after my 6th failed project in 12 months. Money gone. Time gone. Belief almost gone. I remember thinking: “Maybe I’m just not cut out for this.” That’s when I stopped asking: “How do I make money with this?” And started asking: “What do I actually want to get good at?” I picked Python. No big reason. Just curiosity. Learned it the hard way. Then dove into Harvard’s CS50 AI course. No monetization plan. No content strategy. No pressure to “launch”. Just me, a debugger, and broken code at 2am. I started building automations for fun. Entered hackathons with zero expectations. Solved problems that had no immediate ROI. It felt… peaceful. (Except the bugs. The bugs were brutal.) Then something clicked. While I was learning, businesses around me were drowning. Manual workflows eating 40 hours a week. Sales teams burning hours on copy-paste. Support teams answering the same 10 questions on repeat. And I realized something important: My “useless” skills weren’t useless. They were exactly what these businesses needed to survive the AI era. Not hype. Not theory. Real workflows. Real operations. Real leverage. So I started building custom AI systems for B2Bs and SMBs. No business plan. Failed again. Got ghosted. Lost deals. Still didn’t think about pivoting. Because for the first time, I actually loved what I was doing. Eventually, things stacked: Did free work for proof. Got real experience. Improved my stack. Built an MVP. My process today is simple: Audit → Implement → Educate Here’s the lesson I learned the hard way: Chasing money made me miserable. Chasing mastery gave me direction. Passion + dedication works — but only when you stop forcing outcomes.

Built with: n8n · WhatsApp Cloud API · Google Gemini · AI Agents Project Overview To strengthen my hands-on skills in automation and conversational AI, I built an AI-powered WhatsApp bot that can intelligently handle text, voice, and image messages—all within a single automated workflow. This project demonstrates how WhatsApp can be transformed from a simple messaging channel into a smart, multi-modal assistant capable of understanding user intent and responding contextually. Key Use Cases - Customer Support Automation - WhatsApp Virtual Assistants - Voice-to-Text Chatbots - Image-Based Queries (Product, Documents, etc.) - Lead Qualification & FAQ Bots Learning Outcomes ⚡ Built multi-modal WhatsApp automation (text, voice, image) ⚡ Hands-on experience with AI agents and message routing ⚡ Improved workflow design using n8n best practices ⚡ Practical understanding of real-world chatbot architecture