A trillion minutes of wearable data is an extraordinary amount of signal. Google showed that a single foundation model can learn general patterns of sleep, recovery, activity, and physiology from it. @sleepagotchi What it does not automatically do is close the loop. Knowing your HRV dropped or your sleep was fragmented is not the same as changing the next 12 hours. Dashboards display. Agents decide and act. That’s the gap Sleepagotchi is pointing at: take those population-scale representations and turn them into personal intelligence. Suggest when to train, when to recover, when to sleep, when to ignore the notification. Make the data do work. Health tech spent a decade collecting. The next decade will be about whether those signals produce better days, not just prettier charts.