I Built a 24/7 AI Assistant That Runs My Business From a Mac Mini

A few weeks ago, I texted my AI assistant from the couch: “Can you give me an executive summary on all the open projects and what services are up and running?”

Twenty seconds later, it replied with a structured breakdown — all 9 bandwidth-sharing containers healthy, XMR miner running, SSH terminal and dashboards online, Cloudflare tunnel routing traffic. Then it listed every project by status: which ones were complete and ready to ship, which had active development, and which were stalled waiting on me.

I followed up: “How are the YouTube channels? Are videos getting uploaded as expected?” It told me 5 videos had been produced and uploaded that morning at 6 AM across all channels — while I was sleeping.

Then I asked it to add analytics tracking to the YouTube project. “Session launched!” it replied. “Claude is now working in the youtube-automation project to add analytics tracking.” It spun up a dedicated worker, and I went back to whatever I was doing.

That’s not a hypothetical. That’s a regular evening for me now.

The Problem Nobody Talks About

I’m a CCIE with 26 years in the networking industry. I’ve built network infrastructure that handles millions of connections. But when I started running my own consulting practice alongside personal projects, I hit a wall that no amount of engineering experience prepared me for: context switching across dozens of simultaneous projects is brutal.

At any given time, I’m managing around 28 active projects. YouTube content pipelines across multiple channels. Trading bots that need monitoring. Web services that need to stay up. Client work on Upwork. Health dashboards. Development tools. Personal infrastructure.

No human can keep all of that in their head. And hiring a team for what’s essentially a one-person operation didn’t make sense. So I built something better.

What It Actually Does

My AI assistant runs 24/7 on a Mac Mini. Not as some fancy chatbot — as an actual operational layer for my business. Here’s what a typical day looks like for it:

Morning (before I wake up): It checks all running services, verifies uptime, scans for any overnight issues, and compiles a daily digest. By the time I’m pouring coffee, I have a summary of everything that happened across all 28 projects while I was sleeping.

Throughout the day: It monitors Upwork for new job postings that match my skills. It manages YouTube content pipelines — scheduling, processing, optimization. It watches trading bot performance. It keeps web services healthy and responsive.

When something breaks: It doesn’t just alert me. It diagnoses the problem and, in many cases, fixes it autonomously. Services restart themselves. Configurations get corrected. I get a notification that says “this broke, here’s what I did to fix it” rather than “ALERT: SERVICE DOWN.”

SMS — The Interface That Changed Everything

The game-changer was making it accessible via text message. No app to open. No dashboard to check. Just text it a question from wherever I am, and get an answer in seconds.

“How did the trading bots do overnight?” — instant P&L summary.

“How are the YouTube channels?” — upload status across all five channels.

“Is the forex bot still paper trading?” — real-time status check.

It sounds simple, but the impact is enormous. I went from needing to sit down at a computer and check six different dashboards to getting any answer I need while walking the dog.

Daily Digests and Automated Alerts

Every morning at 7 AM, I get a structured digest via text that covers service health, active project count, and whether anything needs attention. At 8 PM, I get an automated forex trading summary with the day’s P&L.

But the real value is in the alerts I didn’t ask for. When my assistant’s own session crashes, it auto-restarts and texts me that it recovered. When a trading bot closes a position, I get the trade details and P&L instantly. When a child session finishes building something, it texts me a summary of what was completed.

I set the rules for what’s worth interrupting me about. Morning digests are brief — just the numbers. Trade alerts come through immediately. Status updates from long-running build sessions arrive when they finish, not while they’re working. And quiet hours mean nothing buzzes between 10 PM and 7 AM unless something is genuinely broken.

Delegation at Scale

Here’s where it gets interesting. The assistant doesn’t try to do everything itself. When it encounters a task that needs focused work — building a new feature, debugging a complex issue, creating a content asset — it spins up a dedicated worker session for that specific job.

Think of it like a manager who delegates. The main assistant maintains the big picture, but specialized workers handle the deep work. Each worker has the context it needs for its specific project, works independently, and reports back when it’s done.

A real example: I needed a demo application for a client project. The assistant delegated the entire build to a worker session. That worker designed the interface, connected the APIs, tested the integration, and deployed a working demo — without me writing a single line of code. I reviewed the result, gave feedback, and it iterated. The whole thing took a fraction of the time it would have taken me.

Another example: One of my YouTube channels had an OAuth token expire. The assistant detected the authentication failure, diagnosed the root cause, generated the fix, applied it, and verified the pipeline was flowing again. I found out about it from the daily digest — as a resolved item, not an open problem.

Self-Healing Infrastructure

The assistant monitors its own health and the health of every service it manages. If a process crashes, it restarts. If a service becomes unresponsive, it investigates and recovers. If something is fundamentally broken and requires my input, it escalates clearly — “I tried X, Y, and Z, none worked, here’s what I think the issue is.”

This isn’t theoretical reliability. I’ve gone entire weekends without checking on anything and come back Monday to find that three issues occurred and were all auto-resolved. The daily digests showed me exactly what happened and what was done about it.

The Numbers

Since deploying this system:

28 projects managed simultaneously with one person (me)
Daily digests replace 45+ minutes of manual monitoring each morning
SMS access means I’m never more than a text away from any metric or status
Auto-recovery handles the majority of service issues without my involvement
Worker delegation handles focused development tasks while I stay in the big picture

This isn’t about replacing human judgment. I still make every strategic decision. But the tactical overhead — the monitoring, the routine maintenance, the context gathering, the “is everything still running?” anxiety — that’s gone.

Now I Offer This as a Service

After running this system for my own business, I realized this is exactly what other solo operators, small teams, and businesses need. Not a chatbot. Not another SaaS dashboard. A persistent, intelligent layer that actually knows your business and runs it alongside you.

I’ve packaged everything I’ve learned into a service that I deploy and manage for clients. Your own AI assistant, customized to your workflows, monitoring your services, accessible via text, and getting smarter about your business every day.

If you’re drowning in operational overhead, managing too many projects to keep track of, or just want to stop worrying about whether everything is still running at 2 AM — let’s talk about setting one up for you.

Because the best employee you’ll ever have doesn’t sleep, doesn’t forget, and texts you back in twelve seconds.