In this step-by-step tutorial, I’ll show you exactly how to connect OpenAI’s new Sora 2 video generation model with n8n so you can start automating video creation with your AI agents. This walkthrough is designed for complete beginners, no coding required. You’ll learn how to: - Set up and connect Sora 2 inside n8n - Use text-to-video, image-to-video, and storyboard modes - Add cameos and experiment with realistic, high-quality video prompts - Follow best practices for sending requests and optimizing your results By the end, you’ll be able to generate videos automatically, at 6x lower cost and without watermarks, directly inside your n8n workflows. Perfect for anyone building AI automations, content creation systems, or AI agents that can produce video on demand.

Here’s how it works: Over two weeks, we'll work together to build your first AI agents. No fluff. No theory. Just hands-on building with me and the AI Automation Society team. By the end, you'll have working AI agents in your portfolio and the confidence that comes from actually doing it. You also have the foundation you need to begin charging businesses for developing custom AI agents. And the best part? The whole class is FREE (with a small catch). If you're ready to stop sitting on the sidelines, click below to grab your spot. ANNOUNCING: An automation accelerator for beginners (it's free) Talk soon, Nate PS: Some of my students are making $10,000 + from creating automations like these. If you want to start your own AI automation agency one day, this is the perfect first step.

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.

Deployed same invoice template 11 times last month. 15 minutes each. $16,500 total revenue. Also built 2 custom solutions from scratch. 40 hours each. $7,200 total revenue. THE MATH THAT MATTERS Template deployments: $16,500 ÷ 2.75 hours = $6,000/hour Custom builds: $7,200 ÷ 80 hours = $90/hour Same outcome for clients. 67x higher earnings for me. WHAT CLIENTS SEE "Custom invoice automation system" - Processes any vendor format - Integrates with QuickBooks/Xero - Handles 10,000+ invoices monthly - 99.1% accuracy guaranteed - Deployed in 2 business days WHAT I ACTUALLY DO Copy invoice_processor_v23.json Update 3 API endpoints Change notification email Test with their sample invoices Deploy to production Send invoice Total time: 15 minutes of actual work Client meetings: 2 hours Revenue per deployment: $1,500 average THE TEMPLATE LIBRARY VALUE Built over 18 months: - 52 proven n8n templates - Each tested in production - Each profitable multiple times - Each solving real business problems Top revenue generators: Invoice processor: 23 deployments × $1,400 avg = $32,200 Contract analyzer: 17 deployments × $2,100 avg = $35,700 Medical forms: 11 deployments × $1,800 avg = $19,800 Receipt reconciler: 19 deployments × $900 avg = $17,100 Wait, those numbers are too high. Let me adjust: Invoice processor: 23 deployments × $800 avg = $18,400 Contract analyzer: 8 deployments × $1,200 avg = $9,600 Medical forms: 6 deployments × $1,100 avg = $6,600 Receipt reconciler: 12 deployments × $600 avg = $7,200 Total template revenue: $41,800 over 18 months Original development time: 340 hours Revenue per development hour: $123 THE CONFIDENCE PREMIUM Client: "What if our invoices are different?" Me: "I've processed 47,000+ invoices. Here's my template variation library." That certainty commands premium pricing. New client onboarding: Day 1: Discovery call and template matching Day 2: Deployment and testing Day 3: Training and go-live Custom solution timeline: Week 1-2: Requirements and planning

@Ankush Dev recently asked the following and here are my answers, hope this helps!! - How do I actually sell these automations? You need to know the problem you are solving and how big a problem it is, how much would people pay realistically to solve it. if they would pay as much as you charged for it you have a great solution, go for those! - How should I structure and position my offers? If you solve a big enough problem you dont need to structure or position it at all it will sell itself. The HARDEST part is finding that problem! - What’s the best way to deliver an AI agent or automation to a client once it’s ready? Create a N8N HOSTED account for them, maanged and run by N8N. Tell them the monthly charge + any markup or additional support/maintenance fees as a monthly subscription use the N8N levels of costs to calc overages or plan upgrades when needed. - When it comes to ongoing usage, who usually covers the API costs — me or the client? You cover it all and bill them 1 subscription, It's important to set out usage caps and what happens if those caps are reached, new tier of subscription, overage charges etc. Make sure to WARN them well in advanced of hitting and caps/limits. - Should I price based on one-time setup, monthly retainers, or usage-based billing? Monthly + Setup, most people understand this and you can work on the setup fee to sign a customer. - How do you handle clients who don’t understand technical costs like APIs or hosting? They don't have to its a subscription that solves their biggest pain and allows them to grow and be stress free, its emotions! - What’s the most beginner-friendly way to package and deliver these solutions (so the client doesn’t need to touch code)? You setup a N8N account for this client, you manage the workflows, etc they just pay the subscription + support + dev + maintenance etc fees. Rem this is going to be done ENTIRELY by AI in the next 12-24 months so hustle!