Sophia an a content marketing agency, was obsessed with using AI to work faster and smarter.

Claude for copy, Descript for editing, and automated systems for as many tasks as possible.
The problem was, Sophia had started just accepting whatever AI told her without questioning it.

A client asked for a new marketing approach, so Sophia asked ChatGPT for ideas. It suggested an Instagram-heavy strategy. Sophia presented it to the client without thinking it through. Turns out, the client's target audience was older executives who barely used Instagram. The strategy was terrible, and the client was frustrated.

Another time, Sophia used AI to analyze which services to expand. The AI recommended doubling down on video production based on trending data. Sophia hired two video specialists and bought $30,000 in equipment. Three months later, she realized her most profitable clients didn't want video - they wanted written content and strategy consulting. She'd invested in the wrong direction because AI said so.

Right before joining Optimize Your ADHD Brain, Sophia asked AI to help price a new service package. AI suggested $8,000. Sophia quoted that price to three prospects. All three said no immediately - too expensive for what she was offering compared to what they needed.

Sophia told me, "I thought AI would make me smarter and faster. Instead, I'm making expensive mistakes because I stopped thinking for myself."

Today, Sophia uses AI to help her make decisions, not to let it be her brain.


Thinking Skills
While you are doing any task, you, without even realizing it, are using your 28 thinking skills.
When the thinking skills you need to use are strong, doing the task happens easily.
If the thinking skill you need to use is weak, doing the task is a challenge.
The struggle that Sophia had came from a weak thinking skill in providing logical evidence

Providing Logical Evidence
Providing logical evidence is about looking for proof that this actually makes sense.
It’s thinking: Why should I believe this is true before accepting the information and acting on it?

Even though Sophia was smart, she stopped questioning every detail AI was providing her. It was easier to accept the outputs as fact, than to actually do the thinking with it.

Sophia had stopped doing this.
When AI gave her an answer, she'd think "AI is smart, this must be right" and just run with it.
Her brain wasn't evaluating whether the suggestion fit her specific situation.

Especially because AI sounds confident even when it's wrong. It presents information in a clear, authoritative way that makes your brain want to just accept it and move on.
But AI doesn't know your specific business, your specific clients, or your specific market conditions unless you give it that context.

People with strong logical evidence skills naturally question information before using it.
They ask: "What's the reasoning behind this? Does this fit with what I already know? What evidence supports this being true in MY situation?"

Without this skill, AI becomes dangerous instead of helpful because you're acting on suggestions that might be completely wrong for you.

Sophia's transformation happened when she began thinking WITH AI, not letting AI think for her.

3 Ways to Think With AI
Here are 3 practices we put in place that helped get better results with AI and improved her thinking skills of providing logical evidence at the same time.

1) Sophia created an Agent to be her thinking partner. The agent was trained not to give any answers. Rather, it asks Sophia back questions so she can flesh out her thoughts.

If you’ve listened to any previous episodes on meditation (such as episode 395 or 407), she trained the bot with that thought process.

Ask me questions based on what I know, and then ask me more questions based on those answers, till eventually I’ll get to my goal.
This helped tremendously, as now it was still her own work and thought processes. It simply made it easier for Sophia to clarify her thoughts.


2) Whenever Sophia DID ask AI for an answer. She also asked AI to provide the reasoning for it.
This way, she can understand AI’s thought process and see if it matches her current situation.
Asking AI to give it’s reasoning to whatever answer it gives.


3)I hear people speaking about this often, but not using enough, is having AI challenge your ideas.
Literally ask AI to rip apart your answer.

Another level to this is asking AI to act as a certain person when giving feedback.
This way, you can get feedback from different perspectives.


Here’s the thing,
AI isn’t going away.

But the research is already super clear.
People are losing their cognition when they rely on AI all the time.
It’s up to us to make AI work for us.



Cheers to Peak Brain Performance!