In this Founder’s Journal, Rytme founder Christopher Jammes shares how using ChatGPT helped him map, measure, and optimize his own health — a process that led to the creation of Rytme’s data-driven philosophy.

The beginning: curiosity as a tool for health

For most of my life, I’ve been fascinated by performance — not just in sport, but in work, family, and mindset.
But like many, I reached a point where I was moving fast without truly understanding how my body was responding.

Between training, long work days, and family life, I wanted to feel in control of my energy — to know what truly moved the needle.
That’s when I decided to treat my body like a system I could map, measure, and optimize.

So, I turned to a new kind of teammate: ChatGPT.

Building my own spaceship

I started by feeding ChatGPT everything I knew about myself — my height, weight, age, training routine, and nutrition habits.
Then, I asked it to help me create an interactive spreadsheet — my own control center — to calculate:

• My Basal Metabolic Rate (BMR)

• My Total Daily Energy Expenditure (TDEE)

• And how both evolved with changes in weight, age, or activity level

The goal was simple: understand my real daily energy needs so I could fuel my body with precision.

But data was only the start.
I also told ChatGPT the truth — I’m not great at cooking, and I’ve never been the biggest fan of vegetables.
Like most busy people, I struggled to eat balanced meals consistently.

From data to reality

Together, we built a nutrition plan that wasn’t just theoretical — it was mine.
I shared what I enjoyed eating, what felt simple, and what I could realistically sustain.

Because the real secret to consistency isn’t discipline — it’s design.
If your plan feels like a burden, you won’t follow it.

So we built meals I actually looked forward to — quick, whole-food-based, and aligned with my goals:
fat loss, stable energy, and daily performance — not just aesthetics.

Filling the gaps

Once the structure was there, something became clear:
Even though I was covering my macros (calories, protein, carbs, fats), I was missing key micronutrients.
My meals lacked color — literally.

That’s where supplementation came in.
Not as a shortcut, but as a way to stabilize my base — ensuring my body got the vitamins and minerals needed for energy, focus, and recovery.

With ChatGPT’s help, I built a system to track both macronutrient and micronutrient intake.
Then, I brought the plan to a professional nutritionist.
She validated the logic, adjusted timing and proportions, and recommended regular blood tests to monitor deficiencies or excesses.

The power of feedback

That’s when the real transformation started.
Numbers turned into feedback.
Data became awareness.

Through regular testing, I could finally see how my body was responding — which nutrients I was absorbing, where I was deficient, and how adjustments impacted performance.

It became an ongoing conversation between data, intuition, and science.
And that’s how the philosophy behind Rytme was born — the idea that understanding comes before optimization.

Building a personal health ecosystem

In 2025, we’re lucky.
We have access to powerful tools — AI like ChatGPT, high-quality food, functional supplements, and experts who can help us interpret data.

By combining them, we can each build our own personal ecosystem for performance — one that adapts to our goals and lifestyle.

You don’t need to chase more complexity.
You need clarity.
Understand your metabolism, fuel smart, measure progress, and adapt with intent.

My takeaway

Leveraging AI didn’t replace professionals — it enhanced my understanding.
It helped me think like a scientist about my own biology, without losing the human side of it.

That blend — technology, awareness, and discipline — is what defines modern health.
It’s what inspired Rytme: a daily system designed not to control your body, but to understand it.

Because once you understand, you can optimize.
And once you optimize, you can live in rhythm — with energy, focus, and purpose.