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Business owners don’t buy AI. They buy business outcomes.
One thing I keep coming back to: Most business owners don’t really care about the tech at first. They don’t wake up thinking, “I need an AI automation stack.” They wake up thinking: “I’m buried.” “I’m missing follow-ups.” “My team keeps dropping the ball.” “I can’t keep everything in my head anymore.” “I need more time.” “I know we’re growing, but the backend is starting to break.” That’s the real sales conversation. AI, automation, agents, workflows, CRMs, integrations… all of that matters. But only because it should solve a business problem. If you lead with the tech, you make the owner do the translation. If you lead with the business outcome, they immediately understand why it matters. Example: Weak: “We can build an AI automation that updates your CRM and triggers a follow-up sequence.” Stronger: “We can make sure every new lead gets followed up with automatically, so fewer opportunities slip through the cracks and you don’t have to personally chase every conversation.” Same solution. Completely different conversation. The tech is the vehicle. The outcome is the sale. Once you help them save time, recover missed revenue, improve follow-up, reduce manual work, or get better visibility into the business, then they may want to understand how the system works. But in the beginning, they mostly want to know: “Can you solve the thing that’s slowing me down?” That’s the mindset shift I think every AI builder needs to make. Don’t sell AI. Sell time back. Sell fewer dropped balls. Sell cleaner handoffs. Sell more capacity. Sell the owner not being the bottleneck anymore. That’s where the value is. Question for the group: When you explain what you do, are you leading with the technology or the business problem you solve?
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Why OpenClawBuilders is becoming TopOfMind AI Builders
OpenClawBuilders started as a place to help people make sense of OpenClaw, Moltbot, Claude, and AI automation tools. That is still part of the mission — but the bigger opportunity is practical AI implementation. The new direction is TopOfMind AI Builders: a community for founders, operators, and builders who want to turn tools like Hermes, OpenClaw, GoHighLevel, agent memory, and AI automation workflows into systems that actually create business leverage. This community will focus on: - secure AI agent setup - OpenClaw and Hermes workflows - GoHighLevel follow-up systems - business memory and agent context - reusable skills, prompts, and automations - content repurposing workflows - build reviews and quality gates - practical AI system audits and implementation help If you joined for OpenClaw or Hermes, you are still in the right place. The shift is that we are moving from tool setup to business systems. The goal is not more AI hype. The goal is building AI systems that keep your business, clients, and follow-up top of mind. Start by replying with: 1. What AI system are you trying to build? 2. Where are you stuck? 3. What would make this community immediately useful for you?
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Welcome! Introduce Yourself + How You Plan To Use Open Claw or Hermes?🎉
I'm as excited as you. I will be working hard over the next weeks to build out this community. I will unlock access to my Open Claw Builder -Custom GPT to members that reach level 2 Who will be the first to post?
AI Agents: Is Domain Knowledge the Real Bottleneck?
Keith, you mentioned that one of the biggest challenges with AI agents is getting enough domain knowledge to properly ground them. I'm curious how you're approaching that today. Are you mainly solving it by working closely with design partners and extracting workflows directly from business owners, or have you found other methods that work well? Also, you've been experimenting with alternatives to GHL and combining CRM capabilities with agentic workflows through Hermes. How are you thinking about the split between CRM automation and AI agents going forward? Would love to hear your thoughts since I think a lot of builders here are running into the same challenges.
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Building AI apps feels very different today compared to even a year ago.
Recently worked on a project where the goal was to launch a functional AI-powered platform quickly without spending months building every component from scratch. The biggest challenge wasn’t the AI itself. It was finding the balance between speed, flexibility, and long-term scalability. Instead of overengineering the product early, we combined low-code tools with custom logic to move faster while still keeping the system structured properly underneath. Using platforms like Lovable, Replit, Base44, and Webflow made it possible to prototype, test workflows, and refine the user experience much faster than traditional development cycles. The interesting part is that speed alone isn’t what makes these tools valuable. It’s the ability to validate ideas, improve products quickly, and remove unnecessary friction during the build process. Tools used: • Lovable • Replit • Base44 • Webflow • APIs • AI Integrations One thing I’ve noticed while building with modern low-code tools: The teams shipping fastest right now usually aren’t skipping engineering. They’re just being more intentional about where custom development is actually necessary. Always interested seeing how other builders are combining low-code and AI workflows too.
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TopOfMind AI Builders
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Formerly OpenClawBuilders. Practical AI systems with Hermes, OpenClaw, GoHighLevel, agent memory & automation that keep your business top of mind.
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