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🔒 Q&A w/ Nate is happening in 4 days
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🙌 AIS is the #1 Tech Skool Community... but we need your help
Hey AIS fam, Good news and bad news. The good news, our community just hit #1 in the Tech category and #2 overall on Skool out of more than 175,000 communities! That’s incredible and a huge credit to all of you. The bad news is that with the growth, we’re seeing more spam, self-promotion, and discussions that aren't focused on AI or automation. Please help us keep this space clean and valuable by reporting any spam or self-promotion you see. Our admin team will take care of it quickly. This community is growing because of you, your engagement, questions, and support for one another. Let’s keep building a safe, focused space to learn and grow together. Cheers, Nate
🙌 AIS is the #1 Tech Skool Community... but we need your help
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🚀New Video: I Tested OpenAI's AgentKit Against n8n: What You Need to Know
In this video, I compare OpenAI’s new AgentKit to n8n to see how they stack up against each other. We’ll go over what each platform is, how they work, and what makes them unique. I’ll walk you through how to access and set up AgentKit, explore its features, and then put both tools head-to-head across different categories. I also score each one so you can clearly see their strengths and weaknesses. Most importantly, I’ll help you figure out when you should use one over the other, because the truth is, they’re built for different purposes and appeal to different types of builders. Whether you’re just getting started or already deep into automation, this video is a full, easy-to-follow guide to help you choose the right tool for your next project.
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🚀New Video: How I'd Make Money with AI in 2026 (if I had to Start Over)
In this video I'm going to be teaching you how I'd make money with AI in 2026, if I had to start over from scratch. This will be the most actionable video you've ever seen about making money with AI. I'll breakdown everything, and fitting it all into this easy to learn 24 minute guide. Hope you enjoy!
How I Built a Smart WhatsApp Automation That Understands Text, Voice, and Images Using n8n
Have you ever wished your WhatsApp could reply to clients instantly, even when they send voice notes or images? That was exactly what my client had in mind. He wanted a system that could automatically understand different message types, process them, and reply intelligently without needing constant human effort. The problem was simple, too many customer messages coming in through WhatsApp, from text to audio to images. Sorting, understanding, and replying manually took too much time and slowed down his workflow. His goal was to automate conversations while keeping them natural and accurate. I built the entire automation using n8n, integrating WhatsApp Cloud API, OpenAI models, and Google Sheets. The workflow starts with a WhatsApp trigger, checks if the message is text, audio, or image, then processes each accordingly, downloading, transcribing, or analyzing before merging everything into one flow. From there, an intent classifier routes the message to the right OpenAI model to generate the perfect response. The biggest challenge was synchronizing multiple data types without breaking the logic. I solved it by implementing a flexible switch system, prompt memory, and precise intent routing. The final result was seamless, a WhatsApp bot that runs 24/7, handling every message type with human-like understanding. The client was genuinely impressed; what once took hours now happens instantly. This kind of automation is perfect for agencies, service businesses, coaches, and eCommerce brands that deal with high message volumes daily. If you’ve ever wanted to simplify how you handle conversations or scale your communication without losing the human touch, let’s talk, I’d be happy to guide you on how to make it work for your business.
How I Built a Smart WhatsApp Automation That Understands Text, Voice, and Images Using n8n
Told a potential client I'd build their workflow for free if it took longer than 10 minutes. Built it in 7. They paid me $4k anyway.
Told a potential client I'd build their workflow for free if it took longer than 10 minutes. Built it in 7. They paid me $4k anyway. Best sales tactic I've ever used. THE OBJECTION Discovery call with e-commerce owner. Her: "I've been burned twice" Her: "Paid $8k to one developer" Her: "Paid $6k to another" Her: "Neither delivered anything working" Her: "Why should I trust you?" Fair question. THE OFFER Me: "What if I build it right now?" Her: "On this call?" Me: "Yes. If it takes longer than 10 minutes, it's free" Her: "You're joking" Me: "Dead serious. What do you need automated?" She was skeptical but explained it. THE REQUIREMENT Return processing automation: 1. Customer emails return request 2. Validate order number 3. Check return eligibility (30 days) 4. Generate return label 5. Send label + instructions 6. Update inventory system 7. Notify warehouse team Previous developers: First guy: "Needs 3 weeks" Second guy: "Built something" (didn't work) Her: "I'm doing this manually. 2-3 hours per day" THE BUILD Her: "So you're starting now?" Me: "Already started" 9:41 AM - Opened Skada.ai Typed: "Return request email triggers: validate order in Shopify, check 30-day eligibility, generate return label via ShipStation, send label with return instructions, update inventory, notify warehouse via Slack" Skada built: - Email parsing - Shopify order lookup - Date validation logic - ShipStation label generation - Branded email template - Inventory adjustment - Slack notification with details 9:46 AM - Built and deployed Spent 2 minutes customizing: - Her email branding - Specific warehouse Slack channel - Custom return policy text 9:48 AM - Complete Total: 7 minutes THE REACTION Me: "Send yourself a test return request" Her: "You're done?" Me: "Test it" She sent a return email. 10 seconds later: - Return label in her inbox - Inventory updated - Warehouse notified Her: "What just happened?" Me: "Your return automation" Her: "In 7 minutes?" Me: "Yep" Long pause.
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