Most people are learning AI. Very few are making money with it. The difference isn't the tools they're using. The difference is that one group is learning, while the other group is taking action, solving problems, and putting their skills in front of people. You don't need another course. You need a way to turn your skills into income. What's the biggest thing stopping you from making money with your AI skills right now? Drop your answer below. 👇

The most reliable workflows I have built are also the simplest ones. One trigger, clean data transformation, one output. No branching logic that requires three LLM calls to resolve something a basic conditional would handle in milliseconds. The temptation when you get comfortable with agents is to add complexity because you can. Parallel execution, dynamic routing, multi-model chains. Sometimes that is the right call. Most of the time it is overhead that makes the system harder to debug and slower to run. Before adding an AI layer, ask whether a deterministic function solves the problem. If it does, use that. Reserve the agent layer for tasks that actually require reasoning and context, not ones that just need a formatted output.

I’ve just completed the AI Operating System training from Nate Herk’s AI Society community and decided to put it to work on a real business rather than a hypothetical project. My first test case is my wife’s dessert catering business, Treats2eat. The goal is to see how far an AI Operating System can go in helping run and grow an existing business across areas like: • Marketing• Meta ads• SEO• CRO• Customer research• Operations• Product development• Analytics• Strategy• Troubleshooting Rather than building a single AI assistant, I’m building a system of specialised agents that work together, challenge assumptions, review each other’s work, identify opportunities, diagnose problems, and recommend actions based on business impact. The experiment is simple: How much of the day-to-day thinking, planning, analysis, optimisation, and execution support can be handled by an AI Operating System while still maintaining quality and commercial judgement? I’ll be documenting what works, what fails, what needs human oversight, and where the biggest opportunities and limitations are. Happy to share learnings as I go and potentially parts of the operating system itself once I’ve cleaned out any business-specific or sensitive information. Would love feedback from anyone else who’s implemented Nate’s framework in a real operating business rather than a greenfield startup. What worked? What broke? What would you do differently?

Hi everyone. Jake here. I'm a technologist, problem solver, outdoor adventurer, aviation junky, and USMC veteran. I've been in the tech industry for nearly three decades and am the Founder and CEO of a tech company thats focused on serving businesses who are actively growing/scaling. IT/AI is not new to me but this community is! I'm very thankful I found such a treasure trove of information and value, both business and tech related...real signal amidst a deafining noise. Kudos to the AIS team for doing what you're doing. I've only recently landed here but already have found immense value from what I have gone over. I look forward to getting to know all of you and am always happy to help others wherever I can. Reach out anytime. Cheers!!!

I’m new here, but just wanted to say the videos have been really useful! Lately I’ve been spending a lot of time testing different ways to automate parts of my workflow, especially with Claude Code, Codex and Google Apps script. I’m starting to see pretty clearly where each one is strong and where each one falls short. Just an observation from my short experience, for anything inside the Google ecosystem, I still think Google Apps Script is hard to beat. A reminder for anyone working at a company that runs on Google Workspace, Scripts is a really practical way to automate repetitive tasks in Docs, Sheets, Gmail, Calendar, Drive, etc. Another added benefit is that it's easy to share with coworkers on your team, and there’s a low barrier to entry since most people already have access to the tools. For automations outside of Google apps script, especially things happening locally on my computer or across different tools, I’ve had better results using Claude Code and Codex. I know this isn’t anything new, but it’s easy to forget how useful Google Apps Script can be if you’re already in a Google Workspace environment. For anyone trying to streamline daily processes at work, free up time for other projects, or just make things run more efficiently, it’s definitely worth playing around with. Hope this can serve as a friendly reminder - especially for those working with co-workers that might not be as AI native,.