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Training science, AI coaching insights, and cycling knowledge.

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Featured · Training Science

How to Improve Your Cycling FTP: Testing, Measurement, and Training That Works

Your FTP underpins every training metric you track. Here's how to test it accurately, which protocols actually work, and how to improve cycling FTP with data.

11 min read
Art Deco illustration of a solo cyclist riding along a winding road through rolling hills

Technique

Cycling Tyres Explained: Pressure, Tubeless, TPU, and Finding Your Setup

Most cyclists run too much tyre pressure. Here's the science behind optimal PSI, the real trade-offs between tubeless, TPU, butyl, and latex, and how to find the right setup for road, gravel, and MTB.

10 min read
Art Deco illustration of three cyclists riding together through rolling hills

Training Science

Polarised, Pyramidal, or Sweet Spot? Cycling Training Methods Explained

Understand the three main cycling training methods — polarised, pyramidal, and sweet spot — and find out which one fits your riding, your goals, and your life.

9 min read
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Training Science

CTL, ATL, and TSB Decoded: Your Training Load Explained

CTL, ATL, and TSB are the three numbers that tell you whether you're getting fitter, digging a hole, or ready to race. Here's what they mean and how to use them.

9 min read
Abstract Art Deco illustration of a cyclist descending a winding mountain road

Training Science

Power Zones Explained: Training with a Power Meter

Understanding your cycling power zones is the key to structured training. Here's what each zone means, how to find yours, and how to actually use them.

9 min read
Abstract Art Deco illustration of a cyclist riding through flowing hills

AI Coaching

What Can an AI Cycling Coach Actually Do?

AI cycling coaches analyse your ride data to deliver personalised insights, structured training plans, and real-time guidance — here's what that looks like in practice.

8 min read