[YouTube Video] How I Made $3,000 a Month With This Simple Automation!
Attached is the n8n Template. In this video, I’m breaking down the exact automation I sold for a $3,000/month retainer — and I’m giving you the full blueprint so you can replicate it, sell it, and land clients using the same outreach strategies I used. ⭐ What You’ll Learn * **Live demo** of the customer support automation (Gmail + WhatsApp → AI support agent) * How the workflow pulls messages, searches a **ChatGPT knowledge base**, and sends polished responses * How the Gmail trigger, WhatsApp trigger, normalization layers, merge logic, routing, and rate-limiting system work * How to set up **Redis rate-limiting**, **ChatGPT embeddings**, and **Facebook/WhatsApp Business API** * Full explanation of the agent prompt + knowledge base * How to handle spammers, API floods, and message caps * How to deploy this as a production-ready support assistant for any business 🧩 Full Build Walkthrough You’ll see exactly how to: * Normalize Gmail + WhatsApp message structures * Merge channels into one unified pipeline * Decide routing (email vs WhatsApp) * Format answers in HTML (email) or plain text (WhatsApp) * Build and integrate a Redis DB * Prevent spam with a proper rate-limit system * Build a ChatGPT knowledge-base agent with embeddings * Set up WhatsApp long-lived tokens * Connect everything inside **n8n** The **entire template** will be available to download, plus support inside my Skool communities. 💼 How I Got the $3,000/mo Client I’ll show you: * The **cold email campaign** I used * Exactly how I search for leads using Instantly + Apollo * How to write short, high-intent outreach emails * How to create lead lists of customer service managers, CEOs, and decision-makers * The LinkedIn playbook using **PhantomBuster** for automated outreach * Messaging templates and pain-point angles that get replies * The daily system for booking calls and closing automation clients 🔧 Tools You’ll Need * n8n * Gmail * WhatsApp Business API * Redis Cloud * ChatGPT w/ Embeddings