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Jan 26 •
How to Make $10k+ Per Month with AI (The Accelerated Path)
Providing AI transformation services to companies is one of the strongest business opportunities we’ve seen since the dawn of the Internet. It's your path to financial freedom and taking control over a life you build on your own terms. But I need to be honest with you... After seeing thousands enter this space — some extremely successful, others spinning their wheels making zero progress — I can tell you that the deeper you step into this journey, the more you'll hit the common stumbling blocks. There is a solution to finding success fast (more on that later), but here's the reality: Most People Get Stuck. No matter your starting point, the same challenges eventually appear: - Pricing is uncertain — especially when opportunities get bigger - Outreach lacks consistency, so momentum comes and goes - Delivery becomes risky when projects require partners or technical depth - You’re making business decisions based on guesswork instead of pattern-based judgment - Progress happens in short bursts instead of steady, compounding, reliable growth We hit up against these ourselves at Morningside AI. But after delivering millions of dollars worth of client projects, we figured out exactly what works, what doesn't, and where the levers are to scale. If you're figuring it all out alone, you'll be learning through failure, instead of repeating established patterns and best practices for delivering AI transformation to small-to-medium sized businesses. This lack-of-structure creates real consequences over time. The Real Risk of Doing This Alone. When you try to navigate this journey without support, the cost isn’t just “moving slower.” It shows up as: - Lost time — trial-and-error instead of proven direction - Lost money — underpricing, mis-scoping, or taking on the wrong projects - Lost scale — limited by what you can deliver without proper setup - Lost reputation — you deliver failures to clients and damage your industry image - Lost confidence — momentum stalls and doubt compounds
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Jan '25 •
‼️ We’re Always Hiring — But Not Just Anyone.
If you’re in this community, you already know we don’t operate like a normal company. We move fast. We execute hard. We don’t just learn about AI — we build with it daily. If you’re looking for “slow, steady, and safe,” this isn’t for you. We’re building the future — and that takes a different kind of operator. We don’t care about degrees or titles. We care about execution, attitude, and how fast you can learn. More importantly, we’re looking for people who: - Don’t need constant hand-holding - Hate mediocrity - Actually want to make an impact So if you’re hungry, sharp, and ready to move — This is your shot. Check our open roles and apply here: Morningside: https://bit.ly/ms-skool AAA Accelerator: https://bit.ly/aaa-skool We’ll keep this post pinned — we’re always looking for A-players. Let’s see what you’ve got.
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May '25 •
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_
4m •
Iam All In
Greetings. I'm from Matthew from Zimbabwe. I am currently a student doing electrical engineering. Iam an AI enthusiast who wants to get his hands on AI more. My goal is to get my own business started which will help companies expand their businesses with AI. I want the best life with financial freedom so I can spend time with my family and also getting to grow and enjoy while doing the business. I want also to help others achieve the same and save time in their businesses.
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5d •
What if the email isn't the most important part of cold email?
The more outbound campaigns I look at, the less I think the email itself is the main variable. Ironically, the rise of high-volume outbound is what convinced me of that. As inboxes become flooded with more emails, more sequences, and more automation, it becomes harder to win simply by writing a slightly better message. And to be fair, that logic isn't completely wrong. If a campaign gets a 1% reply rate, sending 10x more emails can still produce meaningful results even if performance drops. But when everyone plays that game, inboxes get noisier and the bar for relevance gets higher. So I've been wondering: What if we're optimizing the wrong part of outbound? Most conversations start at the very end of the process: - How do we write better emails? - Better subject lines? - Better follow-ups? - Better AI personalization? Those are important questions. But they're all questions about the message. Very little attention is given to the decisions that happen before the message exists. Why this prospect? Why now? What do we actually know about them? What signal makes them worth contacting? I've started to think the biggest performance differences in outbound don't come from communication. They come from understanding. More specifically, they come from discovering something that meaningfully changes the conversation before the first email is ever written. Maybe a company recently expanded. Maybe a new service launched. Maybe hiring patterns reveal a shift in priorities. Maybe a problem becomes visible through research. Something real. Something relevant. Something that gives you a legitimate reason to start a conversation. If that's true, then maybe the future isn't sending more messages. Maybe it's becoming much more deliberate about which messages deserve to be sent in the first place. That idea ended up consuming me enough that I built a system around it. The system researches each prospect, extracts and organizes relevant signals, and then uses those signals to generate outreach and follow-ups.
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