AI Skills vs AI Routines: What's the Difference and When to Use Each

If you have been hearing people talk about their AI agents doing things overnight and you are still doing everything by hand, the AI skills vs AI routines distinction is the piece nobody explains clearly. It is the difference between AI that helps you when you remember to ask and AI that produces work while you are asleep or on a plane.

I got asked this directly on a working session this week. Two operators I coach were deep into building, and one of them said the honest thing. Every step needs to be documented in every process. It's hard to do. My answer was the same one I give everyone. Judgment free zone, and abracadabra, I create as I speak. If you tell me it is going to be hard, of course it is going to be hard. That is just the energy you brought to it.

Then I asked the question that tells me everything. Are either of you using AI routines right now? They both said no. We know what that answer means.

What Is the Difference Between AI Skills vs AI Routines?

A skill is a documented process you trigger. A routine is a documented process that triggers itself.

That is the entire distinction, and getting it straight changes how you build.

Here is my own example of each. I have a pre-flight skill. Before I go from an idea to something I might spend the next five hours building, I say run the pre-flight skill, and it asks me five questions about what I am not seeing that a serious developer would. That required me to show up and trigger it. Useful, and still dependent on me.

Then there is my speaking scout. I want more speaking opportunities, so I set up a routine that searches the internet every single day, finds five new organizations, companies, or networking events, and drops a link to where to send the booking message. I do not run it. It runs. If you want to see what a working set looks like, these are the skills I actually use to run my business.

What Is an AI Skill and When Should You Create One?

Create a skill the moment you notice you are doing something more than once.

That sounds simple and it is genuinely the hardest part. The difficulty is never the writing. The difficulty is noticing. Most people do the same task for the fourth time without ever registering that it has become a pattern.

Once you notice, you write the steps down. Do this, then this, then this. That is a skill. If you are new to this, creating your first skill takes less time than the task you are automating.

We hold a standard of excellence on every skill we write, and it has two parts.

Every skill has a clear definition of done. Alex Hormozi has been making this point publicly and he is right. The people who win in this era are the ones who can explain in explicit detail what done looks like, in a format a machine can read. Closed loops, black and white. If you can do that, you can automate things other people cannot.

Every skill is designed to be run by something other than you. We check this deliberately. We ask whether an agent could execute this as written. That question changes how you write the steps, because documentation written for an agent looks different from notes written for yourself.

What Is an AI Routine and What Makes One Work?

A routine is a skill that passed the without-me test, put on a schedule.

Let me show you the anatomy of a real one. My speaking scout has a role, a schedule, a mission statement, a daily run, a source rotation, a scoring rubric, and a pipeline format. Step one through step seven. Step seven says the final action is you update Notion, which closes the loop on my entire system, because the output always lands somewhere I will actually see it.

Two things in there matter more than they look.

Hard rules. Mine say do not contact anyone, you are only doing one step. I wrote those because I am giving something autonomy and I want the blast radius small.

A seven day on-ramp. Before that routine got any more responsibility, it had to produce seven days of clean runs. New agents earn trust the same way new hires do.

The payoff is simple. Every day you do not use routines is a day you have to do the thing yourself. I can be in another city and a blog post still gets published, because the routine picks up my transcripts and ships it. Once you see that, you start hunting for the piece of the process you can hand over, rather than waiting until you can hand over the whole thing.

Step one done. Step two done. Step three done. This is why we are becoming orchestrators.

How Do You Decide Between AI Skills vs AI Routines?

Ask whether the thing needs your judgment in the middle, or only at the start and the end.

If your eyes have to be on it while it happens, it stays a skill. If you are only the seed at the beginning and the approval at the end, it wants to be a routine.

The best systems only need you in those two places. A seed, and a final check. Everything in between runs. When someone tells me they are worried about handing too much away, my answer is that no is as good an answer as yes here. Some things should stay human because you want them human. That is a real standard, not a cop-out. The point is making the choice deliberately instead of defaulting to doing it all yourself.

How Do You Know If a Build Is Even Worth Your Time?

Run a filter first. I call it the big dog skill.

This came up with a client who runs two large projects at once and was about to start a third. I asked what skill he runs before starting a project. He had no idea what I meant. So we built one, and the light bulb was immediate. He told me he was going to have a million big dog projects and had no process for what launches one.

The filter asks a handful of questions before you commit real time.

What is the clear definition of done? Where is the asymmetric upside? What can AI or an agent do for me right now at the click of a button? How is this connected to revenue? Does this already exist as a product I could just subscribe to?

That last one saves the most time. He was about to spend three weeks building voice triage for inbound calls. Real problem, over a hundred hours of call time a month. Before writing anything, we asked whether a platform already did it, and whether the return justified forty hours of chief executive time. Sometimes the answer is build it. Often the answer is buy it or skip it. You want to know which before you start, not after.

Should You Fix Your Current Process or Rebuild It?

Rebuild it, and this is the single most valuable thing I taught this week.

I worked with a company doing an audit twice a month that took them twenty to thirty hours each time. It produced a fifty page document for their clients, and the volume ceiling capped their whole business. The obvious move is to go section by section asking where AI can help.

That move is wrong. You do not use AI to fix the audit. You start from an AI-first position and rebuild the audit.

The moment that proved it: one section alone took three hours to produce. I asked whether they knew if their clients even read it. They did not. They admitted they were producing that section for themselves. Fixing that section with AI would have made a useless three hours into a useless twenty minutes. Deleting it was the actual answer, and they only found it because they started from zero. Thirty hours became three.

You cannot see that from inside the existing process. That is what thinking in loops and graphs gives you.

How to Build Your First One This Week

1. Write down one thing you did more than once in the last seven days.
2. Turn it into a skill. Steps in order, plain language, no cleverness required.
3. Add a clear definition of done. Write what finished looks like, specifically enough that someone else could confirm it.
4. Ask your AI whether an agent could run this as written. Fix whatever it says is missing.
5. If it passes, put it on a schedule and make the final step write the output somewhere you will see it.
6. Add hard rules and give it seven days of supervised runs before you trust it further.

The Real Shift

The people getting somewhere with this stopped asking what AI can do for them and started asking which part of the process no longer needs them.

Start with one skill. Give it a definition of done. Let it graduate into a routine when it earns it.

Then go be somewhere else while it runs.