Ray: An AI trainer that plans + adapts your workouts in real-time Discussion | Link

2026-01-04 · Source: Product Hunt — The best new products, every day · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Emerging Technologies & Innovation · Depth: Fundamental Awareness, short

Summary

Ray is an AI-powered personal trainer application designed to create and adapt workout plans in real-time, making strength training more accessible. Users communicate their fitness goals, restrictions, or injuries, and Ray generates a customized plan. During workouts, the app provides real-time voice guidance and uses computer vision to count repetitions. Ray dynamically adjusts workouts based on factors like available time or equipment, and it can detect unfamiliar exercises, offering guidance. The app, which has been live for 8 months and holds a 4.88 App Store rating, focuses on strength training, light conditioning, and stretching, and integrates with Apple Health to track other activities. The development team, based in Cambridge, MA, plans to introduce more expert flows and features, with an Android version on the roadmap.

Key takeaway

For AI Product Managers developing fitness or wellness applications, Ray demonstrates the value of combining conversational AI with computer vision for highly personalized and adaptive user experiences. Your product should prioritize real-time flexibility and dynamic adjustments to user constraints (time, equipment) to drive consistency and engagement, especially for new users. Consider integrating health data platforms like Apple Health for a holistic view of user activity.

Key insights

Ray offers an AI-driven personal training experience with real-time adaptation and computer vision for accessible strength training.

Principles

• Personalized fitness plans increase user consistency.
• Real-time adaptation enhances workout flexibility.
• Computer vision can automate rep counting.

Method

Ray develops custom workout plans based on user input (goals, restrictions), provides real-time voice coaching, and uses computer vision for rep counting, dynamically adjusting sessions based on user needs or environmental changes.

In practice

• Integrate computer vision for exercise form analysis.
• Implement dynamic programming for adaptive workout generation.
• Use voice guidance for hands-free coaching.

Topics

• AI Personal Trainer
• Computer Vision
• Adaptive Workouts
• Fitness Technology
• Strength Training

Best for: Computer Vision Engineer, AI Product Manager, General Interest, Product Manager, Entrepreneur

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Editorial summary, takeaway, and curation by AIssential. Original article published by Product Hunt — The best new products, every day.