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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_
How do I get my first pilot users?
I just finished a functional Demo for an AI-Powered Enterprise Expense & Reimbursement Automation System. The core stack is built on: Multimodal AI, OCR, LLM Agents, Workflow Automation, and an Enterprise Rule Engine. Long story short: users just drop receipts or PDFs into it, the AI instantly extracts the data, cross-checks it against company policies (detecting duplicates, spending limits, etc.), and automatically pushes the clean data into an analytics sheet. Now, I want to follow our community's golden rule: Stop over-building and start talking to real users. To stress-test the model, find edge cases, and collect my first batch of testimonials and case studies, I am completely open to doing Free Pilots or very low-cost trials at this stage. ———————————— Since this is my first time launching a financial/administrative automation tool, I’d love to get some wisdom and insights from the vets here: 1. Is my current approach—using free/low-cost pilots to co-create and find data boundaries—on the right track? 2. For this specific finance/admin automation niche, what’s the lowest-cost way to find my very first target client and get them to actually test my Agent? ———————————— If anyone here has experience with outreach or client acquisition in the finance/admin automation space, I’d heavily appreciate your feedback and insights!
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🚀 Built today: AI-Powered Real Estate Lead Management & CRM System
Today I finished building an AI-powered real estate lead management system using n8n + OpenAI + Airtable. The goal was to automate the journey from a website inquiry to a qualified lead with minimal manual work. Current features: ✅ Website lead capture ✅ AI-powered lead analysis & summaries ✅ Buyer/Seller classification ✅ Lead scoring & quality (Hot / Warm / Cold) ✅ Automated email follow-ups ✅ AI-generated SMS follow-ups ✅ Consultation booking ✅ Airtable CRM for lead, appointment & follow-up management ✅ Google Sheets integration ✅ Error handling throughout the workflow I've attached a few screenshots of the CRM to show how the data is organized after the automation runs. Still improving the system, but it's been a great project for learning how to combine AI with real business workflows. 💬 If you were building this, what feature would you add next? I'd genuinely appreciate any feedback or suggestions. #BuildInPublic #n8n #OpenAI #Automation #AIAgents #Airtable #CRM #WorkflowAutomation #RealEstate #ArtificialIntelligence
🚀 Built today: AI-Powered Real Estate Lead Management & CRM System
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?
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