5 OpenClaw Automations That Save Me 20+ Hours a Week
These aren't hypothetical. These are five real automations running in my agency right now — with the exact setup, tools involved, and time saved on each one.
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Practical, experience-driven insights from building and running multi-agent AI workforces. I write about what actually works, what doesn't, and the lessons I've learned deploying real agent systems for real businesses. No hype. No buzzwords. Just the stuff that matters if you're serious about using AI to grow.
Every post comes from something I've actually built, tested, and deployed. Real projects, real decisions (and mistakes), real results. If it's on this blog, it's because I've done it myself.
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These aren't hypothetical. These are five real automations running in my agency right now — with the exact setup, tools involved, and time saved on each one.
Flat agent structures break at scale. Here's how to design a multi-agent hierarchy with a COO, department heads, and specialists — based on the 18-agent system I built for my own agency.
ChatGPT answers questions. OpenClaw agents run your business. Here's the fundamental difference between a chatbot and an AI agent — and why it matters for your bottom line.
A full cost breakdown of running 18 AI agents 24/7 — hardware, API costs, setup time, and the ROI math compared to hiring human staff. The numbers surprised me.
A deep dive into how one AI agent — Alex, the COO — coordinates 4 departments and 17 specialist agents through a single Telegram chat. The delegation patterns, the chain of command, and why it works.
How I replaced my operations overhead with a multi-agent AI workforce running on a $600 Mac Mini. The real story — what worked, what didn't, and what I'd do differently.
I build the same AI agent systems I write about. Book a free 30-minute call to see if it makes sense for your operations.
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