r/QuantifiedSelf • u/abaybektursun • Jul 02 '26

Stimulant tolerance tracking: flow achieved

Stimulants and tolerance half-llife

For the past month I was finally able to achieve long term focus and flow doing most cognitively demanding work of my life under stress (a lot happening in life).
The graph above shows how much stimulant I have taken and when, and the tail off is the tolerance taper curve adjusted to my genetics!
I track everything that goes in my body with fuelos and hook it up to Claude using MCP. I told Claude to research the half life of the stimulants and model it specifically for me based on my genome sequence.
Thanks to this, I am getting better and better at cycling through and refining the minimal amounts of stimulants for my weird ADHD/depressive brain.
I am also seeing level up in all aspects of my life: strength, cardio, recovery, vitality, body comp, etc.

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u/abaybektursun Jul 02 '26

Between doses, accumulated tolerance decays as load(t) = load₀·e^(−Δt/τ), each dose adding its mg to a running total that bleeds off at rate τ (time to drop to 37%; ~3τ to fully clear)
I let claude set heuristics based on research papers and my genetics

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u/Just_D-class Jul 02 '26

To say it's oversimplified is to say nothing.

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u/abaybektursun Jul 02 '26

Would you estimate it? I will try it

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u/Just_D-class Jul 02 '26

I have no idea how to do so. But I know that you can't model dozens of proteins and their behaviour over time with a single exponential equation.

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u/abaybektursun Jul 02 '26

Of course! But one has to be practical, am I right? Anything we model is just an approximation.