An AI health assistant that actually knows your numbers.
Almost every health app claims to have AI. Most of them bolt a chatbot onto a dashboard. It cannot see your labs, your recovery, or what you are taking, so every answer is generic. Mallet's assistant reads all of it and tells you the one thing worth doing next.
A chatbot answers questions. An assistant knows you.
The word assistant is doing a lot of work in app store listings right now. A model that answers general health questions is useful, but it is not assisting you. It does not know your ApoB, your sleep debt, or the supplement you started three weeks ago.
An assistant that earns the name has to do something harder. It has to see your data, remember your history, and reason across all of it. That is the difference between a tool you re-explain yourself to every day and one that actually accumulates an understanding of you.
Sees your real data
Bloodwork, wearables, nutrition, training, and supplements are inputs, not things you have to describe in a prompt. It already knows your numbers.
Remembers your history
It holds context over time, so this week's advice references your last labs and last week, instead of starting every conversation from scratch.
Reasons across domains
Your sleep, glucose, and training are connected. When recovery dips the same week your glucose drifts, that is exactly the pattern it is built to catch.
Gives you a next step
The output is a decision you can act on this week, not a wall of caveats. One clear priority, drawn from everything it can see.
Go deeper
How we think about AI that actually helps:
What is an AI health assistant app?
An AI health assistant is software that reads your actual health data, your bloodwork, wearable recovery, nutrition, training, and supplements, and turns it into specific guidance. A real assistant is personal to you. A generic chatbot answers the same way it would answer a stranger, because it cannot see your numbers.
How is this different from asking ChatGPT a health question?
A general chatbot is great for understanding a concept, but it starts every conversation from zero. It cannot see that your last panel showed elevated ApoB, that your recovery has been poor all week, or that you are on a GLP-1. Mallet is built on top of your data, so its advice is specific to you and builds on your history instead of resetting.
What data does the assistant use?
Bloodwork and biological age, wearable recovery (sleep, HRV, resting heart rate), nutrition, training, and your supplement and peptide logs. It reads them together, so a dip in recovery can be connected to the week your glucose drifted, rather than looked at in isolation.
Is it a replacement for a doctor?
No. Mallet is an education and decision-support tool, not medical advice and not a substitute for your physician. It helps you understand your data, ask better questions, and act on the basics. Anything clinical should go to your clinician.
What can I actually ask it?
Anything grounded in your data: what to prioritize this week, what your latest labs mean for your training, whether a supplement is worth adding given your stack and medications, or why your energy is off. The useful test is to ask the one question a good coach would answer, and see whether it names something specific to you.
Stop re-explaining yourself to a chatbot.
Join the waitlist for early access to an AI assistant that already knows your numbers.