Figma design/Prototype
An autonomous cycling agent that watches a riders training data and continuously adjusts their training strategy.
Live Project
Cadence AI is an autonomous cycling agent that continuously monitors a rider’s training data and adapts their training strategy over time. Instead of following a fixed training plan, Cadence analyzes changes in performance, training load, and progress to help create a more responsive and personalized cycling experience.
Cyclists often rely on static training plans that do not account for how their performance changes from one session to another. Training load, recovery, performance, and consistency can all fluctuate, making it difficult to know when to push harder, maintain the current workload, or adjust the plan. The challenge was to turn complex training data into a system that could continuously understand the rider and respond to those changes.
I designed Cadence as an autonomous training agent that transforms ongoing rider data into adaptive training decisions. Rather than simply presenting statistics, the experience focuses on what the data means and how the training strategy should respond. The interface makes the rider’s progress, training load, and upcoming adjustments easy to understand, creating a system that feels less like a fitness dashboard and more like an intelligent cycling coach.
