I would like to know more about what kind of data is powered by ChatGTP, what kind of data is sent there because it states on-device.

I am not sure how ChatGPT can give any advice (if it is even given in the app) about insulin or glucose.

Hey, Thanks for asking.

The Islet app is designed as a knowledge base that logs crucial data, including insulin dosages, meals, and physical activities. It aims to provide users with insights into how these factors interact to impact their blood sugar levels. Here's a breakdown of how ChatGPT integrates into the app and what data is involved:

What kind of data powers ChatGPT in Islet?

The ChatGPT component in Islet acts as a translation and query layer rather than the sole knowledge source. Islet’s knowledge base aggregates and organises the user’s logged data, such as:

- Glucose Levels: Derived from CGM (Continuous Glucose Monitor) data. This Data is currently on a 3hr delay in the app.

- Insulin Dosages: Logged by the user to capture the timing, type, and amount of insulin administered.

- Meals: Users can log meals in detail, including macronutrient composition, portion sizes, and timing.

- Activities: Logs include exercise type, intensity, and duration, as physical activity significantly impacts glucose regulation.

Does ChatGPT provide advice?

While the app itself does not directly provide medical advice, the ChatGPT integration facilitates better use of the logged data by enabling the user to ask targeted questions. For example:

- "How has my blood sugar been affected by pasta meals over the past two weeks?"

- "What impact does my 30-minute cycling routine typically have on my glucose levels?"

- "Are there patterns between my evening meals and morning glucose levels?"

Purpose of the App

The primary purpose of Islet is to empower users with a system that captures and organises their diabetes-related data into a knowledge base. The ChatGPT layer makes querying this knowledge base intuitive by translating user questions into actionable insights, offering:

1. Pattern Analysis: It helps users understand trends by analysing recurring meals and activities regimens and their effects on blood sugar levels.

2. Education: Users gain a better understanding of their unique responses to different scenarios, supporting informed decisions in their diabetes management.

By focusing on personalised, data-driven insights rather than generic advice, Islet ensures that the ChatGPT integration remains a helpful tool for exploring user-specific trends.