Sorry everyone, but I've taken the hard decision to close this community to focus on my primary businesses. I was so excited about OpenClaw when it first launched, and I knew others would be too. I thought it would be great if we could all get together and share how we are using the platform. Sometimes, unfortunately, you have to look at your priorities and focus on one thing at a time to do the best job. In my case, that is, without a doubt, fastbots.ai. Focus stands for "follow one course until successful" as they say. I'd like to thank everyone who joined the community, and I will see you around in the world of AI for sure. If you would like to keep in touch, then check out my YouTube channel, and I wish you all the very best of luck with your AI adventures. The community will close at the end of May. Cheers everyone, Jason West

Please vote AND give your reason. We all want to learn.

Hey, have a question for the people here who are actually making money with AI right now, what are you mainly doing? Are you mostly helping businesses solve specific problems, building SaaS, making custom apps, doing automations, audits/consulting, voice agents, or something else? I’m asking because I’m trying to pick one direction to really focus on at the start instead of bouncing between a bunch of different things and getting nowhere. Would be cool to hear what’s actually working for you guys right now.

I have been looking at all of these messages and was really wondering if @Jason West and the rest of the people here know that all the OpenClaw, ClawdBot, or Moltbot are a SEVERE security risk and should only be run in a VM? OpenClaw is powerful but currently carries serious security risk. It can execute code, access files, and use credentials, while also loading third-party skills and reading attacker-controlled content. Current reporting from Cisco, Microsoft, WIRED, and security researchers supports treating it as unsafe for normal workstations and suitable only for tightly isolated test environments.

Building Your First AI Agent (Without Knowing How to Code) A lot of people entering the AI agent world right now come from no-code tools. Zapier. Make. n8n. Automation workflows. Then one day they open a real development environment and see the file tree on the left side of the IDE and immediately think: “Yeah… this is where I’m out of my league.” Folders everywhere. Files with strange names. Configuration files. Dependencies. It looks like the cockpit of a jet. Here’s the surprising truth: You don’t actually need to understand most of it to start building powerful agents. The biggest shift happening in software right now is this: You can describe systems, and AI can build the implementation. So instead of writing hundreds of lines of code, you can simply tell your IDE agent what you want. Let’s walk through how someone brand new to this space can build a customized AI agent using OpenClaw, open source tools, and a bit of curiosity. The Tools (All Free) You only need a few things: Google Antigravity (or any IDE with Agent capabilities, like Cursor or Windsurf): An AI development assistant that helps generate and modify code. The OpenClaw open source repository: This gives you a ready-made agent framework. GitHub: Where your project lives. A VPS (Only if you already have one; if not, you can do all of this locally): Where your agent runs once it’s deployed. That’s the entire stack. No expensive SaaS platforms. No complicated infrastructure. The New Way of Building Software: The traditional path looked like this: Learn programming Learn frameworks Learn infrastructure Build something Today the order is different: Describe the system Let your IDE agent build it Learn the pieces as you go Think of yourself less as a programmer and more as a system designer. Step 1 — Create a GitHub Repository Before building anything, create an empty repository on GitHub. Something like: openclaw-research-agent Once it exists, copy the repository URL.