Research notes and practitioner takes on health, AI, and athletic performance, the same problems we are building TrainSignal, SuppWhich, and QAim to solve.
A short case for why YunoLabz builds tools instead of just talking about human performance, and what changes when you measure instead of assume.
An honest, practitioner-level look at using LLMs for test generation and visual regression: what speeds things up, what still needs a human, and how QAim fits in.
Proprietary blends, undisclosed dosages, and marketing claims make it hard to compare supplements on facts alone. Here is what to actually look for, and why we are building SuppWhich to fix it.
Why heart rate variability trends, not single readings, are one of the clearest signals of overtraining and immune-dip risk in combat sports, and why generic wellness apps miss the context that matters.