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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_
Why my clients don't argue about my pricing 💡
One thing I see all the time is people saying, "Don't sell websites. Sell the CRM, automation, lead capture, and backend systems." I completely agree but I also think people underestimate one thing: The frontend still matters. You can have the best automation and backend in the world, but if your website doesn't build trust in the first few seconds, you're already losing potential customers. Last week, I built a website for a doctor. He didn't just need a website he needed a system that would help his business grow. So instead of only building a beautiful, premium-looking frontend with smooth animations, I also connected it to a WhatsApp automation. Now, when a patient sends a message, the system automatically replies, answers common questions, and helps guide them toward booking an appointment. That's the difference. I'm not selling "just a website." I'm selling a complete client acquisition system with a premium user experience. I've seen agencies charging $10k–15k+ for similar custom solutions. For this client, I was able to build exactly what he needed at a price that made sense for his business while still delivering a high-quality experience. That's why price isn't usually the biggest objection. If people clearly understand the value and the outcome, the conversation changes completely. I'd genuinely love your honest feedback. Do you think premium frontend design still plays a huge role, even in the age of AI and automation?
Why my clients don't argue about my pricing 💡
Shipped my open-source agent testing tool today — would love feedback from this community
Been heads-down on this for a while with my friend Yashrajsinh Rathod, and we finally got it to a clean, tested state today — sharing here first before the wider launch. The problem: testing AI agents sucks. Every test run hits a real LLM API (slow, costs money, and the non-determinism means your CI is flaky by design). Most of the "agent observability" tools out there (Langfuse, Braintrust) solve this by having you send your traces to their cloud and run evals there. What we built instead: Fixtura — record your agent's actual tool calls once (with permission checking baked in), then replay that recording offline, as many times as you want, with zero live API calls. The recordings become literal test fixtures, like snapshot tests, that can gate your CI without touching a live LLM. It's local-first on purpose — your traces never leave your machine unless you want them to. Try it in about 30 seconds: pip install fixtura python quickstart.py GitHub: https://github.com/yash161004/fixtura-core Would genuinely love this community's eyes on it, especially if any of you are building agent products and dealing with flaky non-deterministic tests. What's your current testing setup look like — are you mocking LLM calls, or just eating the cost/latency of hitting the real thing every run? — Yashrajsinh Rathod & Meet Patel
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Shipped my open-source agent testing tool today — would love feedback from this community
Been heads-down on this for a while with my friend Yashrajsinh Rathod, and we finally got it to a clean, tested state today — sharing here first before the wider launch. The problem: testing AI agents sucks. Every test run hits a real LLM API (slow, costs money, and the non-determinism means your CI is flaky by design). Most of the "agent observability" tools out there (Langfuse, Braintrust) solve this by having you send your traces to their cloud and run evals there. What we built instead: Fixtura — record your agent's actual tool calls once (with permission checking baked in), then replay that recording offline, as many times as you want, with zero live API calls. The recordings become literal test fixtures, like snapshot tests, that can gate your CI without touching a live LLM. It's local-first on purpose — your traces never leave your machine unless you want them to. Try it in about 30 seconds: pip install fixtura python quickstart.py GitHub: https://github.com/yash161004/fixtura-core Would genuinely love this community's eyes on it, especially if any of you are building agent products and dealing with flaky non-deterministic tests. What's your current testing setup look like — are you mocking LLM calls, or just eating the cost/latency of hitting the real thing every run? — Yashrajsinh Rathod & Meet Patel
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