How High Performers Use AI Differently (And How to Think Like Them)

How do high performers use AI differently from everyone else?

If you want to know how to use AI as a high performer, start with the gap most people never close. Most people use AI to answer questions and knock out small tasks. High performers use AI as a system they design once and run forever. That is the whole difference, and it shows up in everything they build. Holding that standard every single day is what I call a daily AI practice as an entrepreneur.

I coach founders and executive teams through this shift every week. One pattern repeats. The people getting the most out of AI are the ones who stopped treating it like a smarter search bar and started treating it like infrastructure they own. They build the machine. Everyone else keeps pushing the buttons by hand.

This matters because the gap compounds. Every week a high performer designs a little more of their system, the distance between them and the person typing one-off prompts gets wider. The good news is the shift is learnable. It starts with how you think.

If you want the underlying behaviors in more depth, here is what actually separates the high performers who win with AI from the people who stay stuck at the prompt box.

How do you use AI as a high performer day to day?

The daily habit is simple. You point AI at your own knowledge and let it tell you what to do next.

Start every morning with one line. "Here are the top three things on my get-to-do list today. What can you help me with?" That frames the day around outcomes instead of tasks. AI fills in the gaps you did not know existed.

Then query your own library. I tell my AI to go to my knowledge base, choose one action I can do in under ten minutes, and explain why it matters. That turns a giant Notion workspace into a daily prescription instead of a folder you forget to open.

Here is the mindset behind it, in Rob's own words from a recent coaching session. "I spend no time in Notion. You know why? Because I just tell it, look at my Notion. Tell me what you see. What do I not see?"

That is how to use AI as a high performer in practice. You log everything once, then you let AI navigate it for you. If you keep recreating the same context every session, fix that first. Here is how to stop starting from scratch every time you use AI.

Why do most people waste their AI time on busywork?

Busywork is the easy win, so that is where most people spend their AI time. Cleaning up email. Summarizing notes. Tiny efficiencies that feel productive and change nothing about the trajectory of the business.

High performers flip this on purpose. As Rob put it on a group coaching call, "Everybody else works on a bunch of little low-level stuff. We're gonna intentionally design home runs."

The trap is that small wins feel good. They give you the sense of motion without the risk of a real swing. The fix is to name it. Decide up front which of your AI time goes to maintenance and which goes to the big, audacious moves that actually grow the business.

This is a mindset move before it is a tactic. If you want the full set of shifts that come first, here are the mindset shifts for entrepreneurs using AI that separate the operators from the dabblers.

What is Home Run Time and how does it work?

Home Run Time is intentional calendar time set aside for audacious swings instead of admin. It is the system that makes big moves happen on a schedule rather than by accident.

Here is the line that reframes it. "Home runs are not what happens when you have time. Home runs are what the system is designed to produce."

The structure is straightforward.

1. Pick your lanes. Revenue, Reach, Relationships.
2. Set the floor. Score each swing for audacity, one to ten. Below a seven, it is an efficiency, not a home run.
3. Run a weekly cadence. Monday is the hunt for new swings. Thursday is the window to take the swing. Friday is when anything stalled gets cut.
4. Keep a scoreboard. Track every swing, its audacity score, and its last move so nothing quietly dies.

A founder I coach started running one Home Run Time block a week. The output was not a long list of ideas. It was one real swing in flight, scored and moving, every single week. That is the point. The system guarantees a big move is always alive, and willpower never has to carry it.

What does it mean to use loops instead of prompts?

A loop is a reusable instruction set that runs every time without you standing over it. A prompt is a single instruction you give once and then have to give again.

Rob's coffee shop analogy makes it land. Prompting is the owner walking up to the barista every single time and explaining how to make a latte. A loop is a recipe card on the wall. The barista reads it. The owner does not need to be there.

In his words, "The recipe card is the loop. Once it's written, it runs every time. You're free."

This is the design principle that separates how high performers use AI from how everyone else uses it. "Stop giving AI instructions one at a time. Start building little machines that give AI instructions for you."

The payoff is leverage. Every loop you write is a task you never personally do again. Skills are the asset. Loops are the plumbing. Feedback is what makes it trustworthy. Memory is what makes it compound.

Why is infrastructure more important than the AI model you use?

Infrastructure beats the model because the model is only as good as the system around it. A new release changes nothing for someone who has no foundation to plug it into.

Rob says it plainly. "If we don't have the infrastructure, a more powerful thing doesn't matter." The picture he uses is a car. A more powerful engine in a car with no steering wheel still crashes.

Most people chase the next model. High performers build the steering wheel. They put their knowledge, their decisions, and their workflows into one connected system so any model they drop in has something real to drive. That is why a high performer with last year's model will still outproduce someone with the newest release and no foundation.

If you want to build the foundation itself, here is how to build an AI operating system for your business so the next model upgrade actually moves your numbers.

How do you design AI so it runs without you?

You design AI to run without you by writing your intelligence down so it stops needing you for context. The bottleneck is always you until you do this.

Here is the tell. When AI keeps asking you what to do, the context is missing. The fix is not a better prompt. It is richer context. Put your direction, your decisions, and your standards somewhere AI can read them, and it stops asking.

Rob's rule is simple. "I don't want to do anything more than once. So put it somewhere." Everything gets written down because everything compounds. Every piece you log serves every other piece, and AI can reference all of it at once.

A useful split to design around is 10-80-10. You are the source for the first ten percent, the vision and the direction. AI executes the middle eighty percent. You are the quality layer for the last ten percent, the review and the approval. Name the parts that truly need you, and let the rest run.

This is where preparation pays off. The operators who win did the boring work of writing things down first. Here is why preparation is the real AI advantage and how to put it to work.

How to start using AI as a high performer this week

You do not need to rebuild everything at once. Pick a few moves and run them.

1. Open every day with one line. "Here are the top three things on my get-to-do list today. What can you help me with?"
2. Query your own knowledge base once a day. Ask AI to pick one action under ten minutes and explain why it matters.
3. Book one Home Run Time block this week. One lane, one swing, scored for audacity, one next move designed with AI.
4. Turn one repeated task into a loop. Write the recipe card once so you never do that task by hand again.
5. Write down the context AI keeps asking you for. The moment it stops asking, you have removed yourself as the bottleneck.

Run these for one week and the shift becomes obvious. You stop using AI as a faster way to do small things and start using it as a system that produces big ones.

The real advantage is how you think

How high performers use AI comes down to one idea. They build, and everyone else asks. They design loops instead of typing prompts. They protect time for home runs instead of drowning in busywork. They write their intelligence down so AI can run without them.

None of that requires a better model. It requires a better way of thinking, and that is fully learnable. Rob's line from the session says it best. "The number one skill in the AI era is think and dream big."

If you want to learn how to use AI as a high performer alongside founders and executive teams doing this work in real time, that is exactly what we build inside the UNDENIABLE community and Undeniable Studio. We meet every week, design the systems together, and turn your AI from a tool you ask into a machine you own. Come build with us.