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?

Most people are still thinking in “human-speed” software patterns. But agentic systems don’t operate at human speed. If you run real-time agents (voice, visual, automation loops), you’re not doing a few transactions per hour: you could be doing thousands of micro-settlements per second. That’s the core point behind the Viewforge piece: traditional payment rails were built for people and businesses, not machine-to-machine economies. Why this matters for builders (right now) 1. Agents are becoming economic actors Soon, agents won’t just “help”: they’ll buy services, call tools, exchange value, and complete jobs autonomously. 2. API-key spaghetti doesn’t scale As this grows, fragile auth + billing hacks become a bottleneck. We’ll need secure identity + native settlement patterns. 3. Micro-transactions are the unlock Agent systems thrive on tiny, frequent actions. Legacy rails were not designed for that cadence. 4. Product still wins first None of this matters without a real user problem solved. Payment architecture is the scaling layer, not the starting point. Practical takeaway for ClawBuilders If you’re building agent workflows, start thinking in 3 layers: • Layer 1: UX for non-technical users (make it dead simple) • Layer 2: Agent orchestration (reliable execution + guardrails) • Layer 3: Settlement model (how value moves at machine speed) The teams that win won’t just build “AI features.” They’ll build AI economies with clean UX, trusted execution, and scalable settlement rails. Question for the community: What’s your biggest bottleneck right now: agent UX, orchestration, or payments? Original Article: X (https://x.com/Viewforge/status/2029636654957482138) Rohan Arun (@Viewforge) on X A Demand-Backed Settlements Layer For Agents

Since we are the OC Builders community, I want to build a skill for the community what do you all want me to create. After you vote, post a comment so I can capture the details of what you want. At a minimum provide the following information As a persona I would like to do x, for reason y and the desire outcome y As a business owner I want to reduce the time I spend on daily social posting, so I can focus on making more sales calls. When I make sales calls I close 20% and make an extra $10,000 /mo instead of creating social media post that don't perform well. I post to Facebook, X, Reddit and Linkedin to direct potential customers to my funnel. I've made a post a day for each social and I don't get any organic traffic to my funnel. I spend an 2 hours a day making posts.

who is interested on focusing on these tools to build locally hosted ai agent systems?

Is it too late to try to create a Claude Max plan account to OpenClaw?