Walk through any modern factory and you'll notice something. The machines do most of the making. The people walk the floor, watch the gauges, pull a part off the line to measure it, and decide what runs next.
That's where office work is going. Managing AI agents is turning into the real job, and doing the clicking is turning into something a machine handles.
I'm a production guy: people, process, product. These days the production line I run is made mostly of AI agents. Here is what I've learned about where the human fits.
The factory floor version of your office
AI agents can now operate real software. Tools like >Claude in Chrome and ChatGPT's >cloud browser can read a web page, click buttons and fill in forms. I covered what that changes in the post on agents using the software you already pay for.
Think of those agents as the machines on the line. They're fast, they don't get bored, and they'll do the same report at 6 a.m. on a Monday without complaint.
But a line with no floor manager doesn't make good parts. It makes a lot of parts, quickly, some of them wrong. The machines didn't remove the need for people in manufacturing. They changed which people mattered.
What does managing AI agents actually involve?
When I strip it down, directing agents comes down to five jobs. None of them are clicking.
1. Vision: what are we building and why?
An agent will happily build the wrong thing very efficiently. Somebody has to decide that this quarter the business needs faster lead follow-up more than a prettier website. That's a business call, not a software call.
2. Priorities: what runs first?
Every small business has a list of 40 things that "should get done." The director puts them in order. Usually the right first task is the one that costs the most money every week, not the one that annoys the owner the most.
3. Access: which keys does the agent get?
Agents need to get into your tools, and that's where most of the risk lives. The director sets up a separate user seat, gives it the lowest permissions that work, signs in personally, and never hands a password to a chat window.
4. Standards: what does good look like?
"Clean up the CRM" means ten different things to ten people. The director writes down what done looks like: which fields, which format, what to do with a duplicate. Those standards are basically SOPs, and the best ones work for agents and new hires alike. I walk through how to write them in the SOP post.
5. Review: is it right?
This is the one people want to skip, and it's the one that matters most.
Why review is the whole job
This week I built two Google Ads search campaigns on my own sites with an agent doing the clicking. I made every decision: keywords, budget, targeting, which headline to test.
In review, I caught two things. The agent had pinned a headline to position 2 when I asked for position 1. And it toggled a checkbox twice, which left a setting off that should have been on.
Neither would have set anything on fire. But the pinned headline was the whole point of the test. If I hadn't checked, the campaign would have run for weeks answering a question I didn't ask. Nobody would have noticed until the data made no sense.
That's what agent mistakes look like. They're rarely dramatic. They're quiet and plausible, which is exactly why a person has to look.
Anything that sends, publishes, pays or deletes waits for a human yes. Both Anthropic and OpenAI build approval steps into their agents for risky actions, but the vendor's safety net is not your quality control.
What this means for you, the owner
You are the person who sets the vision. That part doesn't change, and it shouldn't be delegated to anyone, human or AI.
What does change is that you shouldn't be the one running the agents day to day. Three reasons:
- Your hour is expensive. An hour you spend fiddling with prompts is an hour you're not selling, estimating or keeping a big customer happy.
- The learning curve is real. Getting agents to do reliable work takes practice, and the early mistakes are yours to clean up.
- Review needs consistency. Spot-checking when you remember isn't review. It has to happen every time.
So the owner's job becomes: set direction, approve the priorities, and spend a short weekly meeting looking at what got done. Somebody else runs the line.
What it means for your team
Say you run a property management company with 250 doors and a leasing coordinator who spends half her day updating listings across three sites, chasing applications and entering maintenance requests.
In the directed model, the agents do the listing updates and the data entry. She becomes the person who knows what a correct listing looks like, which applicants need a phone call, and which owner gets touchy about rent changes. Her knowledge turns into the standards the agents follow, and she reviews their work.
That's a better job. It's also a different one, and some people will want help making the switch. Be honest with your team about that. Hiding the change makes people more nervous, not less.
Is your business ready for directed work?
You're probably ready if most of these are true:
- You can name the bottleneck. You know which recurring work eats your team's week.
- Your tools live in the browser. Accounting, CRM, scheduling and email are web-based.
- Someone knows what right looks like. Even if it's only written in their head right now.
- You'll keep a weekly check-in. Direction needs a rhythm. Once a week works.
You don't need all four on day one. The bottleneck and the weekly check-in matter most. The rest can be built as you go.
You're probably not ready if every process changes daily and nobody can describe a finished task. Fix that first, or the agents will just do the chaos faster.
How I'd approach this
This is exactly the role I fill for clients. My agents are the production line; I'm the director. I set priorities with you, set up access the safe way, write the standards, and check every piece before it goes live. You can see the week-to-week rhythm on how I work.
Frequently asked questions
What does managing AI agents actually involve?
Five jobs: deciding what the business needs built and why, putting the work in priority order, giving the agents the right access and nothing more, writing down what good looks like, and checking every result before it goes live. The agents do the clicking and typing. A person does everything that requires judgment and accountability.
Will AI agents replace my office staff?
In most small businesses, no. What changes is the job. The person who used to do the clicking becomes the person who knows what right looks like and checks the output. Their knowledge of your customers and your quirks is exactly what the agents lack.
How much time does it take to direct AI agents?
More than people expect at first, because the instructions and standards have to be written down once. After that, the time goes mostly into review. That review is not optional. Agents misclick and misread, and the review step is where those mistakes get caught.
Hand me the line
If you'd rather run the business than run the agents, that's the job I do. $499 a month flat, a weekly meeting, and every piece checked before it ships. Start with a $99 first month.
