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Must Read for Anyone Starting an AI Business
Hey everyone 👋 I want to make sure you’re truly using what’s inside the Classroom here on Skool — because it isn’t just theoretical content. It’s the proven starting point for building an AI service business in 2026, based on everything I've learned scaling my own 7-figure AI agency. When I first launched my business back in 2022, I was figuring things out in the dark — long days, trial and error, and a lot of mistakes before the real patterns finally emerged. Since then, I’ve worked with 7, 8, and 9-figure clients, helped thousands of people start AI agencies, and studied what separates the people who succeed from the ones who stall. And now the data is clear: There are TWO proven paths people are using to break into AI. All you have to do is choose the path that fits how you think and work. That’s why the very first thing you should do here is go to the Start Here module inside the Classroom. Inside it, you’ll find: - A clear breakdown of the two proven paths - Clarity on how to pick the one that fits you best - Then you'll find your playbook to land your first paid client fast Everything I wish I had when I started — the frameworks, playbooks, lessons, and action plans — is inside this Classroom. And I continue to update it based on what’s working right now. It’s all here for you, step by step. Don’t let this sit in your dashboard like another course. This is the stuff I lived to be where I am right now. If you aren't already, make sure you're following/subscribed to me for my latest content to help you on your journey: → Main Channel: https://www.youtube.com/@LiamOttley → VLOG Channel: https://www.youtube.com/@LiamOttleyVLOGs → Instagram: https://www.instagram.com/liamottley/ → X: https://twitter.com/liamottley_
How reliable has AI been in your workflow?
Hey everyone, I'm curious to hear about your real-world experiences with AI tools like ChatGPT, Claude, Gemini, or others. I've noticed that while AI can save a lot of time, it occasionally gives inaccurate information or completely different answers to the same question on different days. Because of that, I still find myself double-checking important outputs before using them. For those building AI agents or automations: How often do you run into these issues? What steps do you take to improve accuracy and consistency? Have you found certain models or workflows to be more reliable than others? I'd love to hear what's worked for you and any best practices you've discovered.
Signed my first client
Hi I signed my first client this week - in my first week in the community thanks to Tyler and his live, I knew the correct path to take
Claude Code Tip You Shouldn't Ignore
Most beginners use Claude Code like it's just another AI chat inside the terminal. But that's only scratching the surface. One of the biggest productivity boosts comes from Hooks small automations that run automatically when certain events happen. Imagine Claude Code: ✅ Automatically formatting your code after every edit. ✅ Preventing risky commands before they execute. ✅ Restoring your project instructions so it never forgets your coding standards during long sessions. Instead of constantly reminding Claude what to do, let your workflow do the remembering for you. The more you automate repetitive tasks, the more time you spend building instead of babysitting your AI. Work smarter. Automate the workflow. Let Claude Code handle the rest.
Claude Code Tip You Shouldn't Ignore
Is this true?
The simplest company brain is literally a folder called "context," full of the key, mostly-unchanging markdown files: - your ideal customer - all your offers and pricing - what you do - who you help - how you help them. - and so on… Do you think this is true? Curious
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