Pinned
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.
Pinned
⭐
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_
1h •
ai creating quality Video ads at scale... my workflow
I am running a new offer to solo car detailers, I will book you $1,000 in free car detailing appointments using meta ads and auto AI texting system. This offer is working really well I am about to close a $3,000 set up tomorrow at noon for the first client. Running this offer has forced me to really break down what makes a good local mobile car detailing ad. I live in Pullman Washington (pop. 30,000) and i have been dominating this local market with my little solo car detailing business Refresh Mobile Detailing for the passed 2 years. The first car detailer who claimed this offer lives in Spokane, I kicked off his ad campaign and saw my lead cost up at $13 instead of $2 which is what I was getting in my hometown. The reason was Spokane had competition! I had to get better with my video ad creatives. I went surgical, every second of a 60 second video ad was broken into components so I could test different components. I created new offers and new packages, and watched as my lead cost started to drop. hell yeah. But it took a lot of manual work, now that I know this offer to car detailers is about to get me paid, I am going to be working with 5 - 10 car detailers at a time, which means I need a system that can help me book them thousands of dollars in jobs with low cost per lead and booked appointment. I also had a nice fellow named Leandro ask me about my AI ad creative system. So the video I attached is my response to his question but I wanted to share it with everyone. The following video breaks down how I am going about creating a volume of video ad creatives that are high quality and have the ability to Frankenstein many different components together in order to run experiments to hit key metrics. I will be building this in the following weeks... enjoy https://www.loom.com/share/f9fa9a625eac4ba8a381eff5cdab2ff5
9m •
Celebrating every milestone
Reached 25 uploads on YouTube on Saturday 7.11.26 You can check my channel out here: https://youtube.com/@frederick_ai_ceo?si=W1xKpqvQP-Hawa2P
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40m •
LANGGRAPH-SDK 0.1.0 JUST ELIMINATED OUR CUSTOM WEBSOCKET LAYER 📉
Just ported one of our more complex agent graphs over to the new `langgraph-sdk` 0.1.0 release. The change is significant. Building a UI for a stateful agent used to mean a custom backend setup. 🚧 We had a whole WebSocket server just to stream state updates and tool call events from our Python agent to the React front end. It was brittle and a ton of boilerplate code to maintain. The new client-server model in the SDK handles this natively. You define the graph in Python, run it as a server, and the new TypeScript client gets a real-time stream of *every single step*. 🧠 It pushes LLM outputs, tool calls, and full state diffs automatically. The server even manages the persistence and thread-safe snapshots. 💾 The result? We ripped out our entire custom WebSocket and state-syncing logic. This cut the client-side integration code by nearly half and makes debugging so much cleaner. 🔍 Now, building a UI that shows an agent's "chain of thought" doesn't require any extra backend work. 💡 It feels like a proper separation of concerns for agentic apps. With stateful backends becoming this simple, is building agent logic directly into edge functions now officially dead?
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