Case StudyGenomeX

GenomeX — AI Workout Planner for Athletes

An AI-powered workout planning app for athletes seeking deeply personalized, adaptive training — driven by genetic and physiological data, and continuously recalibrated against real-world progress.

Role

End-to-End Product Design

Domain

AI-Powered Fitness

Platform

iOS Mobile App

Overview

Genetics and real-time biometrics, turned into a daily training plan.

GenomeX uses SNP (Single Nucleotide Polymorphism) data alongside user inputs — fitness level, current routine, available equipment, and goals — processed by GeneX, an AI fitness assistant that translates genetic and lifestyle information into a structured workout plan built to hit results within a defined timeframe.

It integrates with Apple HealthKit to continuously ingest daily vitals and activity metrics. GeneX evaluates that real-time data to dynamically adjust upcoming workouts, keeping intensity, recovery, and readiness balanced as the user progresses.

A daily mood-based adjustment system — Energized, Fatigued, In Pain — lets athletes modify training intensity without derailing long-term goals, with future workouts recalibrated automatically. A dedicated chat interface puts GeneX on call anytime for workout guidance, performance insights, or fitness questions.

Product scope:

SNP Genetic Data Interpretation
AI-Generated, Adaptive Workout Plans
Apple HealthKit Integration
Mood-Based Training Adjustments
GeneX AI Chat Assistant
Performance Analytics & Insights

My Role

End-to-end product design
Adaptive workout-state design
AI interaction & conversation design
High-fidelity UI & prototyping

Key Design Decisions (AI-Assisted)

Designing adaptive workout states
AI-assisted scenario modeling simulated real-world conditions — health data changes, mood selection, skipped workouts — enabling flexible workout states that clearly communicate adjustments and intent.

Human-AI collaboration over full automation
AI-supported copy exploration and UX iteration informed transparency patterns, helping users understand why workouts change — building trust and a sense of control alongside automation.

Problem Statement