ChatGPT for business became the obvious choice for me when I realized the real advantage was not chasing every new AI model. It was reducing friction, building consistent habits, and creating a working system that gets better over time.
The Power of Removing Decisions
During COVID, when I was on Zoom every day, I made a decision that still affects my life today.
I went full Mark Zuckerberg.
Not in the “build a social network” (or become a billionaire) sense. In the “remove unnecessary decisions from my day” sense. Zuckerberg has talked for years about wearing the same basic thing every day because it eliminates one more small decision. At the time, I was doing meetings, trainings, calls, and videos constantly, and I realized something: figuring out what to wear every morning was a completely unnecessary drain on my brain.
So I printed a bunch of Momentum golf shirts.
And I started wearing them every day.
At first, it was just practical. Over time, it became part of the brand. People recognized it. It made me easier to identify. It made me more consistent. And, best of all, it removed one decision from my day that I never enjoyed making in the first place.
Today, I do the same thing with breakfast and lunch. I eat the same things almost every day. Not because I’m boring. Not because I don’t like food. But because I already have enough decisions to make:
- What am I working on today?
- Which client need matters most?
- How should this proposal be structured?
- Where is the right strategy?
- What should we build?
- Which problem needs to be fixed?
- What needs to be said?
- Which things are better left unsaid?
Those are the decisions that matter. I don’t need to burn energy deciding what shirt to wear or what to eat for lunch.
ChatGPT for Business Should Reduce Friction
That same thinking is a big part of why I went all in on ChatGPT.
I spend a lot of time around people who are using AI in real businesses and organizations. Chambers of commerce. Associations. Small businesses. Consultants. Nonprofits. Local leaders. Sales teams. CEOs. Executive directors. Founders.
And I also spend enough time watching the broader AI conversation to see how much energy gets wasted on the wrong debate.
- ChatGPT vs. Claude.
- This model vs. that model.
- This benchmark vs. that benchmark.
- This launch vs. that launch.
On AI X, that conversation can become endless. The tech bros argue about tiny differences in output, coding scores, reasoning tests, context windows, creative writing, model behavior, pricing, personality, and whatever changed in the last 48 hours.
For some people, that matters. If you are deeply technical, building model-dependent systems, evaluating frontier capabilities, or following AI as a professional discipline or hobby, then yes, pay attention to all of it.
However, for most businesses and organizations, that debate is mostly noise.
The practical question is not, “Which AI model won the internet this week?”
The practical question is, “Which platform will help my team actually use AI every day?”
That is a different question. For that reason, for me, the answer has been ChatGPT.
Pick a Platform and Build Around It
Not because I think every other platform is bad. I don’t.
Nor is it because I think there will never be a better answer for a specific use case. There might be.
Not because I think everyone has to make the same choice I made. They don’t.
But I do think most people should make a choice.
Instead, pick the platform that works for you. Invest your time in it. Learn it deeply. Build your workflows around it. Teach it how you think and what you care about. Then use the memory, projects, custom instructions, voice, file uploads, tools, and the paid version.
Stop starting over every time someone posts a dramatic thread about the latest model comparison.
The Cost of Switching AI Tools
Because every time you jump from one platform to another, you are not just “testing something new.” You are rebuilding your working environment.
It reminds me of getting a new phone.
I love when it’s new phone time. Usually, I know I need it. The upgrade will be better, the camera will be sharper, the battery will be stronger, and the screen will be brighter.
And then it sits there for three weeks because I do not want to deal with setting it up.
That is what a lot of people are doing with AI.
They get started. Habits begin to form. Workflows emerge, whether they know it or not. Better questions become easier to ask, and the platform starts to understand their preferences.
Then they read something online and switch. A week later, they switch back. After that, they test another tool, compare outputs, and ask which one is “best.”
Meanwhile, the real productivity gain is not coming from the tool-hopping. It is coming from the relationship you build with the tool you actually use.
Train the Relationship
Last week, while I was driving to Pittsburgh, I had ChatGPT interview me.
Admittedly, that sounds strange until you understand the purpose.
I told it, essentially: I want you to be able to help me better. So use best practices and interview me. Ask me questions that will help you understand how I think, what matters to me, how I work, what I care about, and what you need to know to give me better answers.
That was not a gimmick.
In other words, that was training. Not training the underlying model in some technical sense. Training the working relationship.
As a result, the better ChatGPT understands my voice, my priorities, my business, my clients, my tolerance for fluff, my preference for practical next steps, and the way I think through problems, the more valuable it becomes.
However, that does not happen when you treat AI like a vending machine.
It happens when you treat it like an operating layer.
Why MemberBoost AI Is Built on OpenAI
That is also why MemberBoost AI is built with OpenAI’s API and powered by ChatGPT technology.
I have trained more than 2,500 organizations on AI. I have probably helped sell more than 1,000 ChatGPT Plus subscriptions simply by showing people what becomes possible when they stop dabbling and start using it seriously.
People come back to me all the time and say some version of:
“I finally upgraded because you told me to.”
And then they tell me what changed.
- Their writing gets better.
- They save time.
- Planning improves.
- Communication gets clearer.
- Work that used to live in their head gets organized.
- They create things they never would have created before.
Ultimately, that matters to me more than the weekly AI scoreboard.
Product Momentum Matters
Finally, I also like the way OpenAI keeps advancing the product.
ChatGPT continues to get sharper. The tools keep improving. Features I have wanted for a long time keep showing up. The company appears to listen to users, and that matters.
I have also appreciated OpenAI?s approach to safety.
When Sora was first previewed, I wanted access immediately. Like a lot of people, I could see the creative potential. But OpenAI held it back for a long time because AI video is not just another fun tool. It has obvious risks.
That restraint impressed me.
The Partner Opportunity
Now, with the OpenAI Partner Network, the company is acknowledging something I have believed for a long time: AI adoption is not just about the model.
- Implementation.
- Training.
- Workflow.
- Trust.
- Helping real organizations move from curiosity to practical use.
That is the work I have been doing. That is the work I want to keep doing.
My Advice to Businesses and Organizations
So my advice is simple:
Do not get caught up in the platform war unless that is genuinely part of your work.
For most businesses and organizations, the better move is to choose a serious AI platform, buy a subscription, and commit to learning it well.
- Build your habits around it.
- Teach your team how to use it.
- Create internal examples.
- Document what works.
- Use it to create meaningful real-world results.
And most importantly, let it get to know you.
Because the real advantage does not come from chasing every new headline.
It comes from building consistency, reducing unnecessary decisions, and creating a working system that gets better over time.
That is why I went all in on ChatGPT…
And haven’t looked back.
FAQ: ChatGPT for Business
Why choose one AI platform instead of testing everything?
Most teams gain more from consistency than constant switching. A familiar platform lets people build repeatable workflows, shared examples, and daily habits.
Is ChatGPT the only good AI tool for business?
No. The point is not that every other tool is bad. The point is that a team should choose a serious platform, learn it deeply, and build around it.
How should a business start using ChatGPT more seriously?
Start with real work: writing, planning, research, communication, documentation, and workflow support. Then create examples your team can reuse.
If your team wants help turning AI curiosity into practical business use, explore Momentum AI training or an AI opportunity evaluation.