I’ve been waking up at 2am for months. Not every night, but enough to notice.
I had theories. Stress. The kids. Too much caffeine. All reasonable. All wrong.
Here’s the thing: I built a system that connects my health data across sources I’d never manually correlate. Sleep tracking, continuous glucose monitoring, genetic variants, medication interactions, training load. Not in a dashboard. In an AI that reasons across all of it when I ask.
When I finally asked it to help me understand the wake-ups, it assembled a hypothesis I never would have reached alone:
- → I’ve been eating less at night, so I’m probably underfueled going into sleep
- → Other medications increase metabolic rate, raising overnight glucose demand
- → Genetic data flagged elevated metabolic risk and a disadvantage for deep sleep
- → Sleep tracking shows the disruptions cluster at 2-3am, not randomly
- → That’s the signature of a nocturnal glucose crash, not stress
No single data source would have pointed here. My doctor sees the sleep data or the lab results, not both together, and definitely not cross-referenced against my genetics and my medications.
I’m mid-experiment now. Small bedtime snack, same logging, two weeks. If the hypothesis is right, I’ll sleep through. If not, I’ll learn something else.
I’ve been logging data about myself for years without ever really listening to it. The system didn’t do anything clever. It just paid attention.