If you could automate ONE thing in your business tomorrow — What would it be? (Mine changed everything when I finally set it up)

I’ve been watching our 3,700 students in AIS+, and I noticed the people making the most money are all doing this: https://app.aiautomationsociety.ai/10-hours The people charging $5,000, $10,000, even $50,000 per engagement weren't better builders. Before they ever opened n8n/Claude Code, they did one thing differently: → They found the automations worth building first. It’s like a mini audit. Just by asking a few questions and mapping out the opportunities, they were able to get clients excited and also choose the right projects to work on. And the best part is you can practice by running this same system on YOURSELF. I call it 10 Hours to 10 Seconds, because doing this can easily save you or your clients 10 hours a week by automating the right things. Get all the details here: https://app.aiautomationsociety.ai/10-hours Talk soon, Nate PS: If you’re in AIS+, this has already been updated and provided to you at no cost. You can find it in the classroom

I spent 100 hours testing Claude Code vs ChatGPT Codex and what I found genuinely surprised me. Same prompts, same builds, both tools side by side, and one of them hit way harder than I expected. If you're picking between coding agents right now, then this video is the breakdown you actually need before you commit.

Recently, I moved from building N8N workflows manually to using Claude Code to build the workflows. Here are five lessons I've learned from building in N8N workflows with Claude Code. Lesson 1. Be Specific. Be specific with your goal and your desired outcome. A good way to make sure Claude knows specifically what you want to achieve is to write up a technical document or project report containing some brief detailed information about what your building, who you're building it for, the problem you're trying to solve, along with other project specifications you think might be important. The document you feed Claude doesn't have to be long, nor does it have to contain all the information about the architecture of the workflow, the different nodes you would use, or any other technical information that a builder would normally need to know. Treat Claude like a developer. Just give Claude a brief report telling it what you want and any specific details you have that you can provide and let Claude do the thinking and designing. Lesson 2. Don't just jump in to building the workflow with. Put Claude in planning mode and make sure Claude asks you specific questions about what you are trying to achieve. I've noticed that sometimes Claude will think of things that I didn't think of. Get Claude to ask you questions about your project so it knows more about what it needs to do to create the most satisfactory outcome. Lesson 3. If your project is a complex project that requires multiple workflows, ask Claude to spin up some agents that can work in parallel and build multiple workflows at once. The workflows won't be production-ready immediately. They will need to be tested, and you'll have to test each of them one by one. Having Claude's spin-up agents that work in parallel will save you time. Just make sure that Claude has a solid understanding of your project before asking Claude to spin up multiple agents to build each of the workflows. Lesson 4. Create backups and periodically save your progress. Use GitHub and JSON files to save your progress and back up your workflows and projects. By creating a GitHub repository, you can download your projects and the workflows from GitHub to your laptop when you're not using your desktop. Once you're done working on your project on your laptop, you can ask Claude to push the changes to GitHub and then download the changes from GitHub to your desktop and proceed from there. GitHub is a free cloud service you can use to save your project.

Something I keep noticing in the AI space: A lot of people are trying to make “AI services” the business. Build chatbots. Automate workflows. Sell AI automations. Nothing wrong with that… But I think a lot of people are looking at this backwards. The bigger opportunity might be using AI to scale something that already has proven demand. Meaning: Instead of selling AI… Use AI to grow: - a coaching business - lead gen - real estate - investing - consulting - education - ecommerce - a service company - content/media Or even better… Acquire, partner with, or white-label into an offer that already works. Because let’s be honest: Building an offer from scratch is hard. Testing messaging is hard. Getting traction is hard. Meanwhile, there are businesses already printing money that are terrible at systems, content, follow-up, automation, lead nurture, and scale. That’s where AI gets interesting. You become the leverage layer. Not necessarily the product. Curious where everyone lands on this: Do you think AI is the business? Or do you think AI is the force multiplier behind the business?