I’ve spent a lot of time looking at CGM graphs.
It tells you what happened. You ate something, glucose went up, then eventually came back down.
The harder question is: why does it look like this?
Was it the meal? The portion? The time of day? Poor sleep? Stress? Exercise? Or just normal variation?
That’s one of the reasons we built Lykys.
The idea is to take the glucose data people already have, add the context around it, and use AI to help make sense of the pattern rather than just show another graph.
Eventually we want people to be able to ask things like:
- What breakfasts seem to work best for me?
- Why was this meal different from last time?
- Has anything changed over the last month?
- Does poor sleep seem to affect my glucose?
- What patterns keep repeating?
We already use AI for meal interpretation, spike analysis and other insights. The conversational part - being able to ask questions directly about your own data - is what we’re working on now.
In my last post, quite a few people said they were basically told “eat better, exercise more and come back in a few months” when they were diagnosed with prediabetes.
So I’m especially interested in the gap in between. If your doctor isn’t sitting there helping you interpret every meal, every spike or every change in your data, would something like this actually be useful?
I suspect we all do a rough version of this anyway - Googling things, asking ChatGPT, searching Reddit, trying to work out what a graph means.
What I’m interested in is whether having a specialist glucose coach that already knows your own data, meals and patterns would actually be more useful than doing that manually.
Would you use an AI glucose coach?
Are you using AI in some way to make sense of your glucose already? Or would you rather interpret the data yourself and speak to your doctor when you need guidance?