I just built an AI email agent that writes customized emails and sends them to customers whenever a new product arrives. The project is made up of three workflows: 1) Customer Data Workflow This workflow stores customers’ names and email addresses in a database. I used Pinecone Vector Store to store the customer data. 2) Email Sending Workflow This workflow connects Gmail and gives it permission to send emails automatically. 3) AI Agent WorkflowThis workflow builds the AI agent and connects it to both the database and the email workflow using a webhook.When I message the agent to send an email (to one person or all customers), it: - Pulls names and email addresses from the database - Generates a personalized email - Sends it automatically through Gmail This is very useful for e-commerce, especially for notifying customers about new product arrivals or promotions. Big milestone in my AI automation journey — more to come 💪🔥

Built a 47-node workflow masterpiece. Client called it "too complicated" and went back to manual. I'm sharing this embarrassment because I see others making the same mistake. THE CLIENT REQUEST: "We need to extract key terms from contracts" WHAT MY EGO BUILT: A 47-node n8n workflow with: - AI classification (12 contract types) - Language detection (supported 8 languages) - Parallel processing queues - Smart routing based on contract complexity - Error recovery with 3 retry strategies - Redis caching for "performance" - Beautiful Grafana dashboard - Webhook notifications for everything - 15 different extraction templates - Machine learning confidence scores Time invested: 2 weeks My pride level: 11/10 Client training needed: 3 hours Documentation: 47 pages FIRST WEEK RESULTS: - Documents processed: 12 - Errors: 7 - Client confusion: Maximum - Support tickets from client: 23 Their feedback: "This is more work than doing it manually." WHAT THEY ACTUALLY NEEDED: 3 nodes: 1. Watch Dropbox folder 2. Extract: Party names, dates, amounts 3. Add row to Google Sheets Rebuilt in 30 minutes. SINCE THE REBUILD (4 months): - Documents processed: 5,247 - Errors: 3 - Client questions: 0 - They've referred 2 other law firms The ego check: My complex solution was about impressing myself. Their simple need was about getting home by 6 PM. My new rule: If I can't explain the workflow in one sentence, it's too complex. Current revenue from "boring" 3-5 node workflows: $12K/month Revenue from complex "impressive" builds: $0 What's the most overengineered disaster you've built? Let's share our therapy session 😅

💡 Making Money with AI Isn’t About the Tools – It’s About the Leverage Most people focus on which AI tool to use. The real question is: how can AI multiply your results in ways that humans alone can’t? Here’s the framework I use when advising clients:1️⃣ Automation – Eliminate repetitive tasks to reduce costs.2️⃣ Acceleration – Speed up workflows to produce more, faster.3️⃣ Augmentation – Enhance human creativity and decision-making with AI insights.4️⃣ Aggregation – Use AI to sift through massive amounts of data and find opportunities others miss. 💰 The businesses making the most money with AI aren’t “using AI” for the sake of it. They’re restructuring their business models around leverage. 👉 The opportunity isn’t to do what you’ve always done, but a little faster. The opportunity is to do what was previously impossible without AI. The question I leave my clients with:➡️ Where can AI create leverage in your business that your competitors haven’t even thought of yet?

When Ben approached me, his goal was simple — but the execution needed to be perfect.He wanted a patient support AI agent that could do three things flawlessly: 1. Check in on patients who had been fitted with a bone growth stimulator device 2. Follow a precise 9-month follow-up schedule without missing a single date 3. Escalate supply requests instantly to his email so no patient was left waiting Here’s what I built for him. The AI agent works like Ben’s personal patient care specialist. It automatically looks at the patient’s fitting date and sends friendly, personalized check-in messages such as: “Hi Karen, it’s Ben’s patient support specialist just checking in to see how everything is going with your bone growth stimulator. Let me know if you need help reordering supplies, troubleshooting, or anything else.” The AI rewrites these messages in different ways for each follow-up, so patients never feel like they’re getting the same template over and over. The smart part?If a patient replies that they need supplies, the AI immediately sends Ben an email with: - Patient name - Contact details - Request note That way, Ben can process the order right away. The follow-up cadence is fully automated: - First 60 days: - After 60 days: - For existing patients already a few months in: When a patient says they’ve completed their therapy, the AI stops all follow-ups instantly — no unnecessary reminders, just respectful, timely support. The result? Ben now has a hands-off, 9-month patient engagement system that ensures every patient feels cared for, every supply request is processed without delay, and no follow-up is ever missed.

In this video, I showcase the Ultimate Media AI Agent that combines powerful personal assistant features with advanced creative tools — and I’m giving it all away for free. This agent can manage emails, calendars, contacts, and Google Drive, while also creating and editing images, making and editing videos, turning images into videos, posting content across social media, scraping social platforms for research, and compiling results into Google Docs. It even has full web search capabilities. One of its best features is complete activity logging, so you can see every action it takes, whether successful or not, along with full input, output, and token usage details. Stick around until the end of the video, where I’ll share all the resources, templates, and workflows you need to set it up yourself. Google Doc Cost Breakdown & Setup Instructions Google Sheet Template