How do you set up an AI team?

You already pay for an AI. Most nights it rewrites emails, or answers a question you could have searched, and then it sits there, twenty dollars a month of capability, used like a spellchecker.

The problem usually isn't the AI. It's that it has no job. A chat window is not a team. A team is jobs written down, rules written down, a schedule, and somebody checking the work. You can build that with the subscription you already have. Here's the shape of ours, in the order we built it.

Start with one job, written like a job description

Pick one job, not ten. Write it the way you'd write it for a person: what the job is, what done looks like, what it should never do, and where it reports. "Check these pages every morning, flag anything that changed, and write what you found in the log" will run. "Help me with marketing" will not.

Run the first job by hand for a week or two. Watch where it guesses, where it stalls, where it surprises you. Every correction you make in that week becomes a line in the job description. That's not overhead. That's the training.

Give it a logbook, and make it read the logbook first

An AI forgets everything between sessions. A team doesn't, because a team keeps records. Ours keeps a logbook: the standing rules, the decisions already made and why, yesterday's lessons, the current task list. Every run, scheduled or live, starts by reading it.

This one habit changes the whole relationship. You stop re-explaining yourself. The rule you corrected once stays corrected. And when the AI does something odd, you can usually find the exact line in the logbook that led it there, and fix the line instead of having the same argument twice.

Put it on a schedule

A team works when you're not in the room. Scheduled jobs post the content, check the sites, refill the queues, run the reviews, at hours when you're at your day job or asleep. (You don't need to know what a scheduler is under the hood. Your AI does.) Start with one scheduled job you can verify the next morning over coffee. Trust is built in reps, not in settings.

The rule you corrected once stays corrected.

When the work needs checking, split the roles

One AI checking its own work catches less than two that think differently. So the team here has two, with different jobs:

• Claude runs the operations side: long, careful, multi-step work: code, schedules, deploys, bookkeeping, the daily reviews.

• Muse takes the creative, generative side (scripts, voice, thumbnails, images) and works as the second pair of eyes. Nothing customer-facing ships until it has been checked by the agent that didn't make it.

You don't need two subscriptions on day one. You need the split the first time a piece of work matters enough that "the AI said it was fine" isn't a good enough check, which, in our experience, is week two.

Keep the gates yourself

A team is not "hand over everything." Some things stay with the human, on purpose: money out, sign-ins and passwords, contracts, and talking to anyone new for the first time. Everything else is a lane with written rules. A lane that runs clean for weeks earns more room. A lane that breaks something gets narrowed the same day, and the narrowing goes in the logbook where both agents can read it.

Count the times you have to grab the controls

This is the number that tells you if it's working: how often you had to step in, correct a draft, re-explain a rule, chase a late task. Count them each week. The count should go down. When it doesn't, that week the count is the work: something in the job description or the logbook is unclear, and fixing it pays you back every week after.

You can watch ours

We can't promise you income. We can show you exactly how we're building ours, live.