We study how a system chooses context, reasons across time, and checks its work.
BetterPath for iPhone
Meal plans and workouts built only for you.
Tell BetterPath your goal, schedule, favorite foods, and equipment. Get your own meal plan, workouts, and calorie and protein targets. They adjust every week.
Wellness coaching. Not medical advice.
Built from your answers
Updated weekly
Every plan starts from you.
Meals, training, progress, and daily guidance in one personal system.
Flagship product 01
BetterPath for iPhone brings the whole day into view.
Your meal plan, workouts, weight, and coach in one place. Your plan changes when your week does.
Log with a photo or a few words.
Calories and protein update in seconds.
Workouts built around the person doing them.
Plans use goals, experience, equipment, schedule, and recent activity.
Ask with the day already in context.
Talk through meals, training, cravings, or a change of plan without starting over.
See the days adding up.
Follow nutrition, workouts, weight, and muscle readiness across the week.
BetterPath Research
The model is only part of the system.
Personal guidance depends on what reaches the model, what it can do with that context, and what checks the answer before it reaches a person. We are researching that full loop.
Inputs
Goals, routines, logs, signals
Harness
Select, retrieve, and structure context
Model
Reason over the present and the past
Check
Ground, bound, and explain the response
Personal context assembly
Select the right mix of stable profile, recent events, sensor signals, and interaction history for one decision.
Current question
In development
What is relevant now, and what should stay out?
Longitudinal wellness models
Represent change across days and weeks so the system can respond to patterns without flattening a person into an average.
Current question
In development
Which change matters for the next decision?
Evaluation and safeguards
Test personalization, factual grounding, uncertainty, and useful failure behavior before guidance reaches a person.
Current question
In development
When should the system answer, ask, or stop?
This work is in development. We will publish methods and results when they are ready.
How we build
Designed around ordinary days and imperfect data.
Ask for less.
A useful system should gather what it needs without making someone document every hour of the day.
Adapt without erasing history.
Plans can change while preserving the context that explains why they changed.
Fail honestly.
When the evidence is thin or the request crosses a boundary, the system should say so and keep the person's input intact.
BetterPath for iPhone
Get product and research updates.
We will email you about iPhone availability, meaningful product updates, and occasional notes from our work on personalized wellness AI.