// THE VERGE — INTELLIGENZA ARTIFICIALE
My AI doppelganger tells me what to eat
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In return for feeding a ‘digital twin’ my metabolic data, it predicts how I’ll react to certain foods — and one day, maybe medicines.
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This is Optimizer, a weekly newsletter sent from Verge senior reviewer Victoria Song that dissects and discusses the latest gizmos and potions that swear they’re going to change your life. Opt in for Optimizer here.
For the past 100 days or so, my mornings have had a new rhythm. When I wake up, the first thing I have to do is feed my digital twin. It consumes my metabolic data, and its first “meal” of the day is my body composition data, sent straight from a smart scale.Once that’s logged in the app, I scoot over to the kitchen to fill an Owala with lemon water to take my medications with. That, too, gets logged in the app. On Mondays, I’ll follow that up with several calming breaths, measure my blood pressure, and offer that to the digital twin as well. Then it’s time to consider breakfast. I consult my digital twin.
My digital twin isn’t so much a robotic clone as it is an AI-powered, color-coded food database that predicts how my glucose levels will react to everything I eat. Red is not so good. Orange is so-so. Green is ideal. It’s built based on the data I feed it, as well as data collected from a continuous glucose monitor.
A bowl of protein Cheerios and milk? My digital twin tells me this is orange if eaten alone, but green if I take my daily walk after. So that’s what I decide to eat and do. When that’s all done, I log it in the Twin Health app. In a few hours, the app will generate an insight based on how my glucose reacted, and my “twin” will become more accurate. For now, my twin is fed.