MetaboAI is an AI-powered metabolic health app designed to help people better understand and manage their glucose and metabolic patterns in everyday life. It is built for individuals living with insulin resistance, prediabetes, type 2 diabetes, or anyone using a Continuous Glucose Monitor (CGM) who wants practical, actionable guidance—not generic advice.
Unlike traditional health apps that focus on tracking alone, MetaboAI focuses on pattern recognition and decision support. It helps users understand how food, timing, movement, sleep, stress, and daily routines influence glucose responses, and translates that data into simple, sustainable actions.
MetaboAI treats metabolic health as a data and behavior system, not a willpower problem. By combining CGM data, user inputs, and AI-driven analysis, the app highlights what is working, what isn’t, and where small adjustments can make meaningful improvements—without requiring perfection or extreme lifestyle changes.
MetaboAI is built to complement clinical care by helping users stay engaged and informed between doctor visits. It does not diagnose or replace medical advice, but helps users arrive at appointments with clearer insights and better questions.
MetaboAI analyzes CGM trends to identify recurring glucose patterns, including morning glucose rises related to the dawn phenomenon and feet-on-the-floor effect. Instead of raw charts, users receive clear explanations and context around why certain spikes or drops may be happening.
I validate ideas with a CGM and keep what consistently works. That means fewer “shoulds,” more data-guided tweaks—timing, meal order, portion size, and gentle movement you’ll actually do.
The app helps users understand how meal composition, portion balance, and timing affect glucose responses. MetaboAI emphasizes protein-forward meals, smarter carbohydrate choices, and realistic eating strategies that fit into normal life rather than rigid diets.
MetaboAI highlights the impact of short, well-timed movement—such as brief walks after meals—on glucose control. Guidance is practical and achievable, focusing on consistency rather than intensity.
As more data is collected, MetaboAI identifies trends across days and weeks, helping users see which habits consistently improve stability and which ones lead to variability. This long-term view allows users to refine routines without guesswork.
MetaboAI provides adaptive guidance based on individual data patterns. Recommendations evolve over time, reflecting real responses rather than static rules. The goal is to support informed decisions, not overwhelm users with alerts or instructions.
The app helps users understand how meal composition, portion balance, and timing affect glucose responses. MetaboAI emphasizes protein-forward meals, smarter carbohydrate choices, and realistic eating strategies that fit into normal life rather than rigid diets.
The app helps users understand estimated A1C trends based on longer-term glucose averages, reinforcing the importance of sustained habits over short-term fluctuations. Progress is framed around improvement and consistency, not daily perfection.