The Real Power of AI Isn't the Answer

Issue #99 - June 18, 2026

Here’s where this gets interesting.

In Part 1, I showed what happens when you stop using AI like a chatbot.

In Part 2, I showed what it looks like when AI starts creating the plan before it creates the solution.

Now in Part 3…

I want to show you what happened after I walked away.

Literally.

I went for a walk.

And while I was walking, the AI finished writing the plan.

That alone is useful.

But it’s not the most important part.

Because here’s the thing most people miss:

Just because AI gives you a plan…

doesn’t mean the plan is automatically right.

And I need to say this clearly.

AI can be confidently right.

But it can also be confidently wrong.

And sometimes, as the human, it’s hard to tell which is which.

That’s why I don’t just let it run wild.

I’ve built a process around it.

I call it the Plan Loop.

Simple idea.

When the AI creates a plan, I don’t immediately accept it.

I have another review process challenge the plan.

It asks things like:

Did we make assumptions?

Did we go deep enough?

Are we solving the right problem?

Is the plan missing anything important?

Does this actually make sense based on the current situation?

And that’s where the magic happened.

While I was still out walking…

the plan went through the first review.

Changes were needed.

Then it went through a second review.

More changes were needed.

Then it came back to me in the third round and said:

“Okay, now the human needs to step in.”

That’s exactly how this should work.

Not AI replacing the human.

AI doing the heavy thinking work so the human can make the better final judgment.

That distinction matters.

A lot.

Because by the time I got back…

about 45 minutes of planning and review had already happened.

Without me sitting there staring at the screen.

Without me manually thinking through every hosting question.

Without me mapping every database issue.

Without me chasing every environment variable.

Without me carrying the whole problem in my head.

The AI had already:

Built the plan.

Reviewed the plan.

Revised the plan.

Summarized what changed.

Identified what still needed my approval.

And handed me the next decision.

That’s a completely different way to work.

Most people are still asking AI for outputs.

“Write this.”

“Summarize that.”

“Give me ideas.”

But this is different.

This is AI as a thinking partner.

Not telling you what to do.

Not replacing your judgment.

Not removing you from the process.

But helping you move the work forward while you stay in control.

That’s the part I want more people to understand.

The goal is not to hand over your brain.

The goal is to stop wasting your brain on work that can be structured, reviewed, challenged, and advanced without you babysitting every second of it.

Because if you’re leading anything…

a business, a team, a practice, a project…

you know the hardest part isn’t always the task.

It’s the mental load.

The open loops.

The decisions waiting on you.

The “I’ll figure that out later” pile that keeps getting heavier.

And when AI is used well…

it starts taking some of that weight off.

Not by making every decision for you.

But by getting the thinking to a place where your decision becomes easier.

Cleaner.

Faster.

More informed.

And honestly…

that’s where I think the real future is.

Not people using AI to avoid thinking.

People using AI so they can think at a higher level.

The key is learning how to frame the problem.

That’s what I did here.

I clearly defined:

Current state.

The problem.

The desired outcome.

That’s what gave the agent enough context to move forward.

And even if parts of the plan were imperfect…

it understood the goal well enough to course-correct along the way.

That’s the shift.

So I’ll ask you the same thing I asked in the video:

Are you still using AI like a kindergartner?

Just chatting with it?

Or have you started using it as a real thinking partner?

Because those are two very different worlds.

👇 This is the Part 3

There’s more context, examples, and lessons that didn’t make it into this email. And when you see the AI working through the plan in real time, it starts to click differently.

We've already started building something special for physicians 👨‍⚕️

Over the last few months, we've built a community where doctors exchange ideas, questions, experiences, and lessons around AI and marketing.

Not surface-level conversations.

Real ones.

The kind where people ask:

  • "How are you actually using AI in your practice?"

  • "What's working right now?"

  • "What are other physicians experimenting with?"

  • "How do I avoid wasting time on the wrong things?"

And honestly...

that's become the most valuable part.

Doctors learning from doctors.

Sharing what's working.

Sharing mistakes.

Helping each other navigate a rapidly changing world.

It's called AiM (AI & Marketing) Rounds.

If you'd like to join the conversation—

Just reply "JOIN AIM" and I'll send you the WhatsApp link. 😉

A few things worth checking out 👀

Just sharing a few things I've been exploring lately:

One question before you go...

🤔 What’s one problem you’re still carrying in your head that AI could help you think through?

Not solve instantly.

Think through.

Hit reply and tell me.

I read every response.

And I think the answers will say a lot about where people are still carrying too much.

And if this made you think…

Share it with someone who’s still only asking AI for answers.

Because the real shift starts when AI helps you ask better questions.

— Atiba

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