AI Agent Management for Solopreneurs: You Don't Need a Better Prompt, You Need to Become a Manager

In 2024, I ended up in the hospital. For the first two days I didn't even have a computer. I had my phone, and I tried to ignore it, because I needed to be present for what was happening.

Meanwhile, the business kept moving. My wife and my daughter handled the meeting cancellations, a day ahead each time, just in case I got out and could do the work. I never reached out to the people who help us. I never sent the "here's what's going on, I need help" message. But from the emails my wife read to me, I could tell people were being taken care of.

People were being taken care of past my expectations. Past what I thought anyone even understood how to do.

I was shocked at how easy it was to let go. A lot of my life, I've leaned on "let go and let God." That was true for the health care part. But for the business side, the lesson was different. It was "let go, let humans." Let humans do what humans are going to do, and let them be the best they can be.

I'm George B. Thomas, and I'm telling you that story because it's the same lesson I'm living right now with AI agent management. If you're a solopreneur or a small business owner, I think it's the lesson you're about to live too.

What Does It Mean to Manage AI Agents?

When I hear "humans becoming managers of bots," two things come to mind. The first is being able to create and scale a team that helps with the day in and day out work. You give those bots brains, and you give them hands to actually do work. The second is building systems around how you manage those bots and what needs to happen every day.

A lot of solopreneurs never hired a team, so we never practiced being a manager. Now the bots might be our first hires.

And we're already treating them that way. FreshBooks surveyed 500 solopreneurs and micro-business owners and found that 86% now turn to AI before hiring outside help when they hit a wall (FreshBooks). Microsoft has a name for the person who builds, delegates to, and manages agents. It calls them an "agent boss" (Microsoft Work Trend Index 2025).

So the question isn't "How do I write a better prompt?" It's "Am I ready to be a manager?"

Is AI a Tool or a Teammate?

When AI is a tool, you're usually just throwing things at it, prompting it, and hoping for the best.

When you treat it like a teammate, or a set of teammates, you realize each one has its own skills. Each one knows how to work with the others. In my world, Quinn is the writer and Finch is the editor. Put those two hand in hand, and they do amazing work.

Something else happens when you talk to them more like humans and less like tools or code. You get better results.

McKinsey landed in the same place after more than 50 agent builds. In their words, "Onboarding agents is more like hiring a new employee versus deploying software" (McKinsey). I wrote about my own version of that in How I Hire an AI Agent.

How Do You Build Trust With an AI Agent?

People ask me where I refuse to trust an agent. I don't know that I refuse to trust an agent. That would be like refusing to trust a human.

Trust is something you build. Do I start with smaller tasks at the beginning? Yes. Do I let it grow into bigger tasks? Yes. Do I find things where I say, not yet, but maybe in the future? Yes.

Over the last three to four months, I've spent something like 50 to 65% of my time asking a bot to do something and then watching it do the work on its screen. I watched so I could trust that the bot understood what I was asking for.

After I watch it do the thing two, three, four times, I let it go do the thing. Then I double check it at the end.

That's very much what I'd do with a human. A human goes and does something, hands it back to me, and I look at the last 10% before it goes to a client. It's a new kind of relationship with an agent, built on a very human, very old system.

That's the hospital lesson again. If you have the right people, the right agents, the right systems, and the right mindsets in place, everything kind of drives itself in the right direction. You're still navigating. You're still pivoting a little as needed along the way. But nothing's really going to blow up.

When the Bots Blow Your Mind

I built a wiki knowledge base in Mighty Networks, and a bot takes care of almost 100% of the content additions and platform revisions. That still kind of blows my mind.

Then there's Casey, my HubSpot expert bot. The amount Casey does in our HubSpot portal, and in client portals, with my watchful eye, is wild. Almost every day, there's at least one moment, sometimes two, where my mind is blown.

When a bot does something differently than I would have, the fix is simple. I give it my thoughts and ask it to revise or do better work.

But sometimes it does something I didn't want, and I have a "huh" moment. That moment points me in a different direction. I end up somewhere totally different from where I thought I'd be, and I still love where we landed.

What Happens When an AI Agent Gets It Wrong?

Bots get things confidently wrong.

When I started building out my identity for my AI, it told me what my core values were. They sounded like mine. They really weren't. The way you catch that is by reviewing the things you're actually creating, building on, or using. If I hadn't looked, I would have built on top of values that weren't true. (That's why I tell people to capture the core values you actually have, not the ones you wish you had.)

Here's the twist. Review cuts both ways. It catches humans too.

While I was being interviewed for this very article, I named one of our podcasts wrong. I called it "Look What Shipped." The real name is Sidekick's What Just Shipped. The bot running the interview caught it and asked me which name was right. That was human error, plain and simple.

So review isn't just the boss checking the bot. It's the system catching mistakes, wherever they start. Sometimes I catch the bot. Sometimes the bot catches me. That's a team.

McKinsey puts it this way: "There can be no 'launch and leave' in this arena." And when Network Solutions surveyed small business owners who use AI, only 32% could describe what an AI agent actually does (Network Solutions). It's hard to trust something you can't describe. Reviewing the work is how you learn what you actually hired.

Won't I Spend All Day Reviewing Bot Work?

No. If you build the right system, there's no way you're going to spend all day reviewing bot work.

Think about the speed. I don't want to call it multitasking. It's literally multi-completing, multi-creating. Picture four or five agents working on four or five things at the same time, instead of you working on one thing at a time across four or five time slots.

The rate things get done goes way up. Your approval time is way less than the time the work would have taken, and that saves you a lot of your day. That's my opinion, and it's what I've found with the system we use.

Powerful, Human, Simple: The Test for Managing AI Agents

I test my systems against three words. Here's how they show up when you're managing AI agents.

Human. Everything is human powered. I'm part of the thinking, the taste, the feeling, or the approval. Nothing goes out without me deciding it should. (That's my Go, Tweak or Hold rule.)

Powerful. You've built a system with multiple agents, maybe even multiple humans, and they work together. Compare that to just you, the lone human, the lone solopreneur. It's kind of crazy how much more powerful it is.

Simple. If you build it right, it simplifies the complex. Take this article. A bot asked me twelve questions to pull things out of my brain, then layered my answers on top of deep research.

How to Start Managing Your AI Agents: 7 Steps

1. Build the brain before you hire. Start with a second brain, or main brain, whatever you want to call it. The personal identity layer holds your beliefs, mindsets, core values, voice, tone, the words to use and not use, your rules, and your permissions. The professional identity layer holds your mission, your vision, your products, and your services.
2. Start small. Give your first bot smaller tasks. Let trust grow into bigger ones.
3. Watch it work. Sit with it and watch it do the task on its screen. Do that two, three, four times, until you trust that it understands what you're asking.
4. Let go. Once it's earned it, let it go do the thing. Treat it more like a teammate than a tool.
5. Check the last 10%. Look at the work before it reaches a client, the same way you would with a human.
6. Name what's "not yet." Some tasks aren't ready to hand off. Say so, and come back to them later. Not yet, but maybe in the future.
7. Review what you build on. Especially your identity. If the bot tells you who you are, make sure it's actually you.

Will Managing Bots Make You Lose Your Craft?

If you're afraid managing bots means you'll lose your craft, or stop being the person your clients hired, I would just beg you to trust me.

As long as you keep it human powered, AI assisted, and value first, you're going to give your prospects and clients, the humans you serve, value faster. You're going to learn faster. That means you can deliver more services, and probably deliver them better, because the agents can help you build a system you may never have been able to build before.

Here's one example. At Sidekick Strategies, we serve our clients with HubSpot updates through a podcast called Sidekick's What Just Shipped. It's fully bot run, yet human powered. AI hosts. AI music. AI intro and outro. We have an agent called Boom that helps with each episode so we're not making repeats. Quinn and Finch look at the scripts before they go to the tool that creates the voices.

Systems like that are a kind of magic for creating value in the world.

FAQ: AI Agent Management for Solopreneurs

What is AI agent management? It's treating AI agents like teammates instead of tools: give them a brain, start small, watch them work, let go once they've earned it, and check the last 10%.

How long does it take to trust an AI agent? For me, it took three to four months of spending 50 to 65% of my time watching bots work. After I watch a task two, three, four times, I let it run and check the end.

What should an AI agent know before you hire it? Two layers of you: the personal identity layer (beliefs, mindsets, core values, voice, rules, permissions) and the professional layer (mission, vision, products, services).

Will I spend all day reviewing bot work? Not if you build the right system. With four or five agents multi-completing four or five things at once, your approval time is way less than the time the work would have taken.

Will managing AI agents make me lose my craft? Not if you keep it human powered, AI assisted, and value first. You stay part of the thinking, the taste, and the approval, and you serve clients faster.

The Agent Manager Mindset Going Forward

The hospital taught me that when you let go, people can take care of things past your expectations. Bots are teaching me the same lesson, one small task at a time.

That's the agent manager mindset. You stop being the person who has to do every task, and you become the person who builds the brain, earns the trust, and makes the final call. You're not giving up control. You're navigating, and pivoting a little as needed. Stay human powered, AI assisted, and value first, and you'll be amazed at what you can build.

If you have questions about AI agent management, or you just want to have a conversation about it, reach out and let us know.