https://www.skool.com/topofmindai/classroom/986061cf Persistent named bots on a shared cloud computer. Work can keep going after you close the laptop. Useful. Not magic. We cover the seat filter, shared-box vs per-bot memory (bots are not a security boundary), one focused Researcher setup, connector-first tools with browser as fallback, honest swarm limits and weekly caps, then a security gate plus a simple tracking board before you ship. Same operator habits as Hermes / OpenClaw / Claude Code / Cursor: least privilege, draft before send, connect only when the task needs it. Composio-style plugins can help as an optional multi-app layer. This is not a vendor brochure. Start at Module 0. Do the homework. Refuse the fake C-suite on day one. Adapted from Composio's public Grok Bot guide (Harsh). Images from that article. Not affiliated with xAI or Composio. - Keith

A business doesn’t need 20 AI tools. It needs a few automations that remove repetitive work and improve how leads and customers are handled. I’ve found AI + CRM + automation to be far more useful than adding another random AI tool to the stack. What’s one repetitive task you’d love to eliminate?

Looking for Skills or Instructions for MD files for Hermes or Openclaw to prevent Deletion/Destruction but the agent Anyone have anything that they have used that works well?

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?

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?