Future thinks AI is a superpower for trainers.
In the loop. The digital personal training company unveiled Assistant Coach, AI coaching tech designed to complement human instructors.
Crunching data from five years of PT sessions, Future’s AI model enhances responsiveness, adaptability, and degree of personalization — helping its trainers and partners deliver high-quality coaching.
Note to self. Assistant Coach builds on Future’s text message-based business, gleaning key insights from client communication and workouts.
- Analyzing the ~1K text messages exchanged between coach and member per year, it databases family life, mental and physical state, and schedule changes, crossing data against the coach’s plan.
- Training its agent on millions of prescribed sessions, its Workout Engine AI outperforms GPT-4, Claude, and Llama LLMs on efficacy, skillfulness, and weight recommendation.
One To Many
Mass data, sophisticated LLMs, and greater health agency have spawned AI coaches, with WHOOP, Oura, and Thrive Global each debuting programs.
But while these tools cut costs, human-in-the-loop models have proven most effective. For Future CEO Rishi Mandal, that means creating a new standard: “Every coach in America should have these tools.”
Takeaway: Solving supply, demand, and eventually affordability, AI lets trainers take on more clients without sacrificing quality. But with motivation unquantifiable, outcomes will rely on a human at the helm.
