"Based on logged meals, the app predicts a person's blood sugar response to those foods. It also makes personalized recommendations throughout the day, such as adjusting portion size, choosing a different food combination, or taking a walk after eating. Users can accept or ignore these suggestions-maybe broccoli isn't their favorite food, or they prefer to exercise during a particular time of the day. The app uses AI to adapt to their preferences over time."
""When I first started the program, I could barely make it a mile before my back was hurting, my knee was hurting. Now I'm doing six and a half miles every morning," he says. He likes getting instant feedback from the app and also tracking his biometrics over time. He can see that his body fat percentage and blood pressure have been trending downward. "That's where I get my motivation to keep walking and keep doing the work," he says."
The app predicts blood sugar responses from logged meals and issues personalized, actionable recommendations throughout the day, such as changing portion sizes, altering food combinations, or taking a walk after eating. Users can accept or ignore suggestions, and the AI adapts to individual preferences over time. Human coaches are available for specific health questions. One user replaced prepackaged breakfasts with low‑carb, high‑fiber homemade options, stopped drinking soda, and increased daily walking from about one mile to six and a half miles. His body fat and blood pressure trended downward, weight fell from 300 to about 275, and medication needs decreased. A Cleveland Clinic endocrinologist conducted a study after initial skepticism about implementing lifestyle modification effectively.
Read at WIRED
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