I'm a growth marketer building side businesses, automating my work, and replacing entire workflows with a single AI agent running 24/7 on a Mac Mini. Real systems, real revenue, no theory. Every week I share what I built, what broke, and what actually made money.
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After months of babysitting auth failures and gateway errors, Anthropic just made the decision easier. OpenClaw subscriptions no longer work. Here's what I moved to, what it actually costs, and how I got Claude Code on WhatsApp.
Google Ads told me I made $541K. My own data said $420K. Here's the exact n8n workflow, Google Ads MCP setup, and AI agent system I built at AppSumo to get the real numbers, plus the honest limitations of letting agents run your ads.
I still use multiple AI agents every day. But for major scheduled jobs, I'm shifting the backbone to Claude Code. The reason is simple: I got tired of babysitting automations that should have just quietly worked.
We were already backing up our agent files to GitHub every day. That was good for disaster recovery. It was not good enough for operating and improving the system.
Uses a personal Google Cloud project (not org-managed), creates OAuth consent and a Desktop OAuth client, enables Gmail API, auths from terminal and stores token locally.
Most agent failures aren't model failures. They're operating-system failures. Our agent was technically capable, but execution was inconsistent.
If you want Clay-level outcomes without building a fragile pile of zaps, this is the workflow. We run lead scraping, email verification, and outreach from one operating loop.
If you keep your AI agent skills inside one local folder, you are basically managing configuration drift on purpose. That setup works until it doesn't.
If you just bought a Mac Mini and want a reliable AI assistant running 24/7, this is the setup. This guide is built from real mistakes, real fixes, and real operating experience.
I run a thermal hunting repost page (@zerodarktactical, 28K followers) that posts thermal hog hunting content daily. For months I was manually curating, downloading, captioning, and posting videos every morning.
I run an AI agent 24/7 on a Mac Mini. It manages my Instagram, monitors Google Ads, books tennis courts, drafts newsletters, and a bunch of other stuff I used to do manually. Cool, right? Until I looked at the bill.
Things got out of hand fast. Two weeks ago I set up an AI agent on a Mac Mini. Just a simple assistant. Read my emails, maybe manage my calendar. Normal stuff.
AI agents forget everything between sessions. You already know this. But the real problem isn't just memory. It's learned helplessness.
I have an AI agent running 24/7 on a headless Mac Mini. It books tee times, posts to Instagram, reads my work email, tracks action items from meetings. To do any of that, it needs credentials.
I run an AI agent on a Mac Mini in my house. It has access to my shell, my WhatsApp, my Gmail, my calendar, my files. If you just read that and thought 'that sounds dangerous,' good. You're paying attention.
I had a moment yesterday that I can't stop thinking about. I was setting up content automation for an Instagram page I run.
I launched a Shopify store tonight. The whole thing. Product page, checkout, connected to a custom frontend. Took a few hours.
So you want your AI agent to read your email and know your schedule. Yeah, you do. Once you set this up you'll wonder how you ever functioned without it.
If you've ever worked with an AI agent (ChatGPT, Claude, OpenClaw, whatever) you've probably noticed something frustrating. It forgets things.
I've used Granola in meetings for a while. Wiring it into my AI agent is what finally unlocked it.