Why my ChatGPT beats Gemini 3

Is this the Tom Brady Moment?

The moment the backup steps in and everything changes?

OpenAI was the starter. Gemini was on the bench. Suddenly, Gemini’s ahead. OpenAI’s leaking confidence. The whole market shifts its weight.

So yes — it looks like the Tom Brady moment.

But it isn’t.

For me.

Here’s why:

My ChatGPT is not like your ChatGPT. And until I have time to train Gemini, I'm sticking with the tried and true.

I've been working with ChatGPT, around the clock, for nine weeks.

Twenty-hour days.

No days off.

It's been intense.

It's been insane.

But I've put in the time and made ChatGPT mine.

Raw IQ ≠ real-world utility

Gemini might leapfrog ChatGPT on benchmarks, but I don’t care about a few extra points on MMLU.

I care about:

• continuity
• coherence
• memory
• governance
• receipts
• outputs you can actually use

ChatGPT works for me because I know how to work with it.

I’ve shaped it, trained it, constrained it, optimized it — to serve my mission with surgical precision.

And here’s the key insight:

Even if Gemini leapfrogged in horsepower, it didn’t leapfrog in trust

And it didn’t leapfrog in me.
Because I didn’t train my entire IP stack on Gemini.

So yeah, the rest of the market might chase a shinier toy.

But I’ve got something better: a thinking partner, a working memory and a stack no one else has.

I'm not here for model hype.

I’m here for mission traction.

And ChatGPT gives me that — because I built it to.