I modified OpenClaw source code and made it Virtual Machine friendly.

Tony Stark Beta Test is finished. I just ran the first full database reactivation sweep using the Tony Stark agentic OS. If you’ve been watching the “AI Agent” hype and wondering if it actually makes money - here is the raw data from my GHL dashboard. The Task: Reactivate 3,100 cold leads from our YouTube and Skool imports. The Tool: Tony Stark (OpenClaw with Google Gemini 3) The Outcome: 500 hyper personalised emails delivered in few hours. I didn’t open my laptop once. I architected the logic inside the AI Avengers Lab, gave Tony the “Hands” to talk to HighLevel , and he did the rest. Why this matters for you: Every minute you spend manually sending emails or updating tags is a minute you aren’t architecting your exit strategy. I am sharing everything Live in my AI Lab, WhatsApp group . I’ll show you the raw Python scripts Tony used and the specific GHL hooks that make this possible. Stop being a point-and-clicker. Start being the architect. Join the Lab: https://aiavengers.team/start-2601

Did you get the email ? Please share your feedback in the comments .

What's your actual status with it?

Most people are terrified of giving an AI assistant "hands." They should be. If you give an LLM agent access to your operating system without a security moat, you aren't building an assistant. You’re building a backdoor for every hacker on the planet. I spent last 120+ hours stress-testing the security protocols for my Digital Co-Founder, Tony Stark. ( I haven't given it any access to mac or tools yet) I use a "Foundry" model to keep the AI Agent safe: 1. Hardware Isolation: He lives on a dedicated Google Cloud VM, far away from my personal data. 2. Sandbox Enforcement: He works inside a Docker cage. If he makes a mistake, the cage disappears. The host (VM) stays safe. 3. Private Tunnels: I deleted the external IP to move it away from the public internet. We talk through a secure, encrypted bridge. I’m not just building Personal AI Agent; I’m building a secure perimeter around it first. For the next 13 days, I’m showing the serious builders how to do the same inside the AI Avengers Lab. We’re live-debugging the security audits so you don't have to learn the hard way. Building in public means showing the armor, not just the weapons. Don't use it on a VPS until you set the perimeter.