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🔒 Q&A w/ Nate is happening in 4 days
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🚀New Video: I Turned Clawdbot Into the Ultimate Personal Assistant
I turned Clawdbot into my 24/7 executive assistant, and in this video, I'm showing you exactly how to do the same. After spending 100+ hours refining this setup, I've built a system where my Clawdbot, Klaus, proactively manages my tasks, checks in on what I'm working on to offer help, and even builds things while I sleep. I walk you through the custom dashboard I use to track everything it's doing, share the exact setup you can copy, and reveal the hacks I've discovered along the way that most people miss.
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🚀New Video: I Tested Clawdbot Against Claude Code: What You Need to Know
In this video, I put Clawdbot head-to-head against Claude Code to see which AI coding tool actually delivers. I break down everything you need to know across the metrics that actually matter: ability, setup, risk, cost, security, usability, ROI, and raw power. The verdict? Claude Code still comes out on top, but Clawdbot is a super young tool has some interesting strengths if you know what you're doing. That said, you need to be careful with Clawdbot unless you really understand the risks involved. Whether you're considering making the switch or just want to understand what these tools can actually do, this video will give you the full picture.
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🏆 Weekly Wins Recap | Jan 17 – Jan 23
This week inside AIS+ was a reminder of what happens when clarity meets action. From massive client deals to first builds and mindset shifts, members kept stacking real progress - not theory. Here are a few standout wins 👇 👉 @David Kim closed a $385K contract with $25K upfront and a 76% profit margin - a masterclass in value-driven execution. 👉 @Rishi Raj delivered his first paid client project, shipping a complete learning platform end-to-end. 👉 @Krishna A built a lead-tracking automation using n8n + Supabase, then followed it up with his own Voice AI agent in just 3 hours. 👉 @Anthony Caspari saved a client 3+ hours with a small but powerful filtering automation - proof that tiny builds can create outsized value. 👉 @Tetsuo Koyama earned “New & Popular” on Udemy with his Dify × n8n course - global impact unlocked. 🎥 Super Win Spotlight: @Patrick Siewert | From Learning to Real Momentum Patrick joined AIS+ to strengthen his automation skills and learn how to build real-world value around them. Since joining, he’s shipped multiple personal automations, streamlined his LinkedIn content workflow, launched a newsletter and recently started a lead-gen MVP that already landed a client. 🎥 Watch Patrick share his journey 👇 Patrick’s story is a great reminder: consistent building + an active community accelerates progress faster than learning alone. ✨ Want to see wins like this every single week? Join AI Automation Society Plus and start turning learning into real builds, real clients, and real confidence 🚀
🏆 Weekly Wins Recap | Jan 17 – Jan 23
Who Is Actually Accountable When AI Makes the Call?
In many organizations, AI decisions have owners on paper but not in practice. When outcomes go well, the system is praised. When things go wrong, responsibility dissolves into process, data, or “the model.” This ambiguity is rarely audited. Roles are defined, but accountability is assumed. AI Audit checks governance charts yet skips the moment where no one feels authorized to challenge the system anymore. Real risk appears when AI decisions affect customers, pricing, or prioritization, and everyone believes someone else is responsible. At that point, escalation paths exist, but escalation courage does not. AI Audit must surface where accountability thins out, where ownership becomes symbolic, and where decisions outgrow the structures meant to contain them. If you can’t clearly answer who owns an AI decision in real time, then no one truly does.
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OpenClaw now
🧠 What Happened (Straightforward Explanation) 1) Origins: Clawdbot - The project started as Clawdbot, an open-source AI assistant that runs autonomously on your own server or machine. - It gained viral attention in tech communities because it can: 2) Name Change to Moltbot - Due to trademark concerns raised by Anthropic (the company behind Claude), the original name Clawdbot conflicted with Anthropic’s branding. - The creator renamed the project Moltbot. - The functionality remained the same — only the name and branding were changed. 3) Repository Move to OpenClaw - The project’s GitHub repository formerly under “moltbot” is now housed under a new GitHub organization called OpenClaw. - This means OpenClaw is the current official home of the code and ongoing development. ⚙️ What the Tool Does Today Moltbot / OpenClaw is essentially: - An AI agent framework that runs locally or on a server (VPS). - Connects to messaging platforms to provide always-on interaction. - Integrates with APIs (email, calendars, drive, etc.) to execute tasks. - Supports different large models (not limited to Claude). It’s more than a chatbot — it acts as an automated assistant. 🚨 Security & Risk — Updated (as of today) Recent reports from cybersecurity researchers emphasize: - Security risks exist if deployed carelessly. - Many early adopters exposed dashboards and control panels without passwords. - Instances have been found on the open internet exposing: - If misconfigured, attackers might gain access to sensitive systems. This aligns with the creator’s own warnings that the tool is experimental and not ready for production by non-technical users. 📈 Adoption Status As of today: - The project continues receiving attention and forks. - Community contributions are increasing. - Discussions around best practices, safety guides, and deployment patterns are active on GitHub and social media. - People experiment with integrating Moltbot/OpenClaw into workflows, but most deployments are still technical and early-stage.
OpenClaw now
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AI Automation Society
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