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‼️ 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.
‼️ We’re Always Hiring — But Not Just Anyone.
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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_
Small Automations, Big Impact 🚀
𝐄𝐯𝐞𝐫𝐲𝐨𝐧𝐞 𝐥𝐨𝐯𝐞𝐬 𝐭𝐚𝐥𝐤𝐢𝐧𝐠 𝐚𝐛𝐨𝐮𝐭 𝐀𝐈 𝐚𝐠𝐞𝐧𝐭𝐬. But sometimes the biggest win is a workflow that quietly saves 20–30 minutes every day. No fancy interface. No viral demo. Just less manual work. I've realized those small improvements often create the biggest long-term impact because people actually use them every single day. Not every automation has to be complex to be valuable. 𝐖𝐡𝐚𝐭'𝐬 𝐭𝐡𝐞 𝐬𝐢𝐦𝐩𝐥𝐞𝐬𝐭 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐭𝐡𝐚𝐭'𝐬 𝐡𝐚𝐝 𝐭𝐡𝐞 𝐛𝐢𝐠𝐠𝐞𝐬𝐭 𝐢𝐦𝐩𝐚𝐜𝐭 𝐟𝐨𝐫 𝐲𝐨𝐮?
Nobody talks about the production side of Make.com client work. Help!
Hey everyone! 👋 I've been learning Make.com for a while now and honestly the building part is fun — I get it, I enjoy it. But the moment I try to deploy for a real client? That's where I hit walls I didn't expect. Currently working on what should be a simple project — Gmail → OpenAI → Gmail email summarizer. Works perfectly in testing. But moving it to production for a client is a whole different story. Here's where I'm stuck: 🚧 The GCP OAuth verification process is taking forever. Branding needs to be verified before data access can be verified. Gmail scopes are sensitive so Google takes weeks to review. Meanwhile my client is waiting. 🤔 I'm also unsure about the right way to set things up professionally: - Should everything be under the client's own Google/Make accounts? - How do you handle GCP setup with non-technical clients? - Is Google Workspace the real game changer here? - How do you structure Make organizations for client work? For those of you deploying Make automations for clients regularly: 1. What's your actual deployment process from finished scenario to fully live? 2. How do you handle the GCP OAuth verification issue? 3. How long does a proper client deployment take you realistically? 4. What do you wish someone had told you before your first client deployment? Any real-world experience would mean a lot right now. The tutorials show the building part but nobody talks about the messy production deployment side of things! Thanks so much 🙏
LEAD GENERATION AUTOMATION
I have build a lead generation automation which helps to get leads for the business owners which runs 4 times a day and get them more than 200 leads from google maps and also qualifies them. DM me if you want this to execute in your business to get more leads #aiautomation #agency #ai #leads
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