Hey guys, pushing back the webinar by 60 minutes. Still the same zoom link. We're having wifi issues here in Cape Town. Thanks for your patience, see you soon!

Every 3–6 months, something drops in AI that sends everyone scrambling. OpenClaw is the latest — and this time, the signal is real. ClawHub — the new marketplace built on top of the OpenClaw platform — lets anyone build lightweight AI skills, list them for distribution, and charge a subscription. Think of it like an App Store for AI tools. The barrier to building software just collapsed. That's a legitimate shift. But here's what I told my team at Morningside: we're not changing a thing. Because the tech moves — but the people don't. Tens of millions of businesses still can't identify their best AI use cases, still can't build the systems, and still can't get their teams to actually use them. That problem didn't go anywhere. It's only growing. Here's what I break down in my latest video: - Why ClawHub is being called AI's "App Store moment" — and why the comparison actually holds this time - The specific play turning simple backend tools into recurring revenue without a traditional product - Why most people chasing this platform will get eaten alive by faster, more technical builders - The reason agencies that audit, build, and train become more valuable with every new wave — not less - What "building on rock vs. sand" actually looks like when you're running a real AI business Watch the full breakdown here: https://youtu.be/RXBjzT8gQ2g

Until now, AI has mostly lived inside chat windows. With Clawdbot hitting the scene, all that changes. This is AI with its own workspace, tools, and operating system. In my latest video, Mark Kashef and I are breaking down this new open-source system that turns models like Claude or ChatGPT into fully functional assistants —with their own computer. Clawdbot lets you do things like: - Message an AI that from anywhere and have it actually run software for you - Give it its own desktop, folders, and workflows - Let it operate while you’re offline - Package it into client-ready services Watch the full video and follow the setup guide to build this the right way and start making money with it → https://www.skool.com/learn-ai/classroom/20a9ccbe?md=87db56f98c7a413fa12824c97a0f389f

My current approach is to conduct complementary messaging audits as 'conversation starters'. The goal isn't just to critique websites. It's to help companies fix their messaging clarity first, then build scalable marketing automation systems on top of that foundation. What's working: Cold outreach with most accepting the audit offer and genuinely appreciating the report. However, after sending the comprehensive audit... most conversations stall. My goal is to get them on a discovery call to discuss their situation and explore options together, but I'm struggling to bridge that gap. Most respond with "thanks for the insights", then go quiet. Follow-ups get "not ready," "no budget," or silence. I'm wondering if I'm giving away too much value upfront. Should the audit be more diagnostic (identify problems) and less prescriptive (hold back solutions for paid engagement)? Or is this just normal funnel math, and I need more volume? For those who've used similar approaches: How do you bridge the gap between "thanks for the insights" and actually getting them on a discovery call? What's the transition that works? Open to any suggestions or pattern observations from your experience. Appreciate every insights and I'd love to connect!