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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_
I'm All in
Hey everyone! My name is Divine, and I'm from Nigeria. I'm currently learning AI automation and building my skills in AI agents, workflows, and automation tools. I'm excited to be part of this community and to learn from everyone here. My goal: I want to land my first AI automation client, build a successful AI automation business, and eventually create solutions that help businesses save time and increase productivity.😜 My why: I want financial freedom, the ability to work from anywhere, and a career that's future-proof. I'm passionate about technology and AI, and I believe this is the right path to create opportunities for myself while making a real impact for clients.🥲 Looking forward to learning, taking action, and growing with all of you. Let's do this! 🚀
How I build projects 10x faster?
The old way of developing software is dead. Meticulously designing architecture, manually writing every function, and spending days debugging a single error takes too long. The new way? Vibe Coding. Instead of treating AI as a simple autocomplete helper, let it drive. You steer the product vision while large language models (LLMs) like Google Jules or OpenAI handle the heavy lifting. Here is my exact, high-speed development workflow: 1️⃣ The Handshake: Keep system architecture high-level. Define the flow of the product, user experience, and priorities—then let the LLM translate that vision into working code. 2️⃣ Self-Contained Dev: Use tools that spin up their own environment, compile, test, and execute code in real-time. This eliminates terminal context-switching friction. 3️⃣ Aggressive Prompting: Instead of over-analyzing every git diff, prompt the AI to make changes dynamically (e.g., "convert this snippet to TypeScript" or "make this API call asynchronous"). 4️⃣ Error-Looping: If something breaks, don't hunt through lines of code. Paste the raw error trace back into the AI. Nine times out of ten, it delivers a working fix instantly. 5️⃣ The Last Mile: Dedicate the final phase entirely to polishing, manual bug-fixing, edge cases, and tightening security before pushing to production. By shifting focus from syntax to orchestration, you can take a custom application from an idea to a working demo in days instead of months. Want to steal this workflow?
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hi, I'm new to learning AI workflows. How should I go about learning them for the first time?
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