⚡ I automated my entire LinkedIn content strategy — and it changed everything. From a single voice note, my system now researches, writes, and posts high-value, engagement-driven content automatically. No freelancers. No editors. No burnout. It’s my 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗴𝗵𝗼𝘀𝘁𝘄𝗿𝗶𝘁𝗲𝗿 for LinkedIn — saving me 10+ hours a week while keeping my content consistent, strategic, and sales-ready. Every post now drives engagement and leads automatically. Here’s how it works (using n8n, Gemini, and SerpApi 👇): 1️⃣ Idea Capture – I drop a quick voice note. No more lost ideas or writer’s block. 2️⃣ AI Research & Insights – Google Gemini transcribes and SerpApi finds fresh 2025 data, trends, and expert insights. 3️⃣ Smart Writing Engine – AI turns research into scroll-stopping, conversion-focused posts — hooks, value, and CTA included. 4️⃣ Auto-Post to LinkedIn – Posts publish automatically. No scheduling. No manual uploads. ✅ Result: What used to take 2 hours per post now takes 2 minutes — and every post feels professional, data-backed, and sales-ready. 💡 If you’re tired of spending hours writing, hiring ghostwriters, or posting inconsistently, this system will change the game. 👉 Comment “AI Ghostwriter” or DM “LinkedIn Automation” and I’ll show you how to set it up for your business.

Most Detailing Shops Don’t Have a Quality Problem — They Have a Phone Problem I recently tested a Vapi-powered AI voice agent with a detailing shop, and it revealed something interesting: The biggest bottleneck wasn’t the detailing work itself — it was missed or delayed phone calls. When the team is working on cars, they simply can’t answer every call. That leads to missed leads, slower follow-ups, and inconsistent booking flow. To understand the impact, we let an AI agent handle: Basic lead qualification Appointment scheduling Follow-up calls Simple customer queries What Actually Improved The team saved around 15 hours per week Follow-ups became consistent Missed-call bookings increased noticeably The shop stayed focused on actual detailing work Why share this? A lot of service businesses underestimate how much revenue disappears due to unmanaged calls. This experiment showed how a lightweight AI voice layer can stabilize communication without adding extra workload or staff. If anyone here is exploring AI for operations or wants insights on the setup, I’m happy to share what I learned.

Last week, @Phyllis Chow joined our weekly live call with no automation experience. In just one session, she built her first working n8n automation — a daily email summary system that checks yesterday’s inbox, filters messages, summarizes them with AI, and sends a clean report every morning. This tutorial shows the exact steps beginners can copy. If you want to start simple and learn automation the easy way, this is a great place to begin. 🎥 Watch inside the Academy community (for members) 🎁 Get Free Resources → https://www.skool.com/muro-ai-automations-free-2676/about

🔥 Save 5+ Hours/Day with This 10-Minute Amazon Automation! Every seller wastes hours doing the same tasks: ➡️ Searching ASINs ➡️ Copying titles, images, URLs ➡️ Updating sheets manually I built an Amazon Product Extractor that turns ASINs into: ✅ Product Name ✅ Image ✅ URL ✅ Status —all automatically in Google Sheets. ⏳ Time Saved: 3–4 min → 2 sec per product 💰 Money Saved: $300–$500/month VA cost → $0 Perfect for dropshipping, product research, wholesale sourcing, and listing teams. 💬 Comment “AUTOMATE” or DM me to get this setup!

LIVE CALL SOP – Building Real Automations From Scratch (Full Summary) ------------------------------------------------------------ 1. CALL OVERVIEW ------------------------------------------------------------ Attendees: - Gyunay Aliev - Tobi Ajose - CPY Duration: 2h 35m Purpose: Teach beginners how to build real n8n automations, plan workflows, use Sheets correctly, understand webhooks, create case studies, and build simple client-ready systems. ------------------------------------------------------------ 2. CORE PROBLEM DISCUSSED ------------------------------------------------------------ Beginners struggle with: - Too many tools - Not knowing where to start - Fear of “doing it wrong” - Confusion around Sheets, fields, planning - Unsure how to build a case study or offer The session solved this by building a full real business automation from scratch. ------------------------------------------------------------ 3. MINDSET RULES ------------------------------------------------------------ Rule 1: Learn slowly but consistently (20–30 min daily). Rule 2: Always sketch the flow before building. Rule 3: Ask: “How would a real human do this?” then automate. Rule 4: Simple automations = real money. Rule 5: Use AI to generate repetitive parts (forms, HTML emails, sheet headers). ------------------------------------------------------------ 4. AUTOMATION EXAMPLE BUILT (CAKE SHOP) ------------------------------------------------------------ Business Case: Cake shop receives orders manually and loses track. Automation Built (End-to-End): 1. Website created using AI (Minimax / ChatGPT) 2. Website form sends POST request to n8nwebhook 3. n8n inserts data into Google Sheets 4. Telegram message sent to owner with new order details 5. Customer receives confirmation email (HTML template) 6. Google Sheet includes "status" column 7. Second automation monitors status changes and sends emails: - "In delivery" -> send delivery update