PRIMED JOURNAL · TRAINING / RECOVERY / PERSPECTIVE
Better endurance decisions,
explained.
Training, recovery and the technology behind an AI coach that adapts to you.
FEATURED STORY
Why Recovery Scores Disagree, and How Primed Interprets Conflicting Signals
Garmin says you need 48 hours of recovery, Oura gives you an 88 Readiness score, and WHOOP shows a yellow 52%. Why do wearable algorithms disagree, and how does Primed find the physiological truth?
ESSENTIAL READING
Start here
Foundational reading on training data and the decisions it can inform.
AI Endurance Coaching: What It Can Do, What It Cannot, and Who It Is For
There is immense noise around artificial intelligence in fitness. Cutting through the marketing claims reveals what an AI coach can genuinely solve today, where it fails, and who actually benefits from using one.
How Primed Combines Garmin, Oura, WHOOP and Apple Health
Most athletes record workouts on one device, sleep on another, and daily steps on a third. Here is how Primed ingests, normalizes, and reconciles data across disparate wearable ecosystems into one continuous timeline.
From 12 Weeks of Data to Today’s Workout: A Worked Primed Example
How does an AI coaching engine actually take three months of multi-wearable telemetry, power files, and sleep logs to decide what you should do today? Here is a step-by-step technical teardown.
FROM THE JOURNAL
Latest articles
Showing 6 of 18
Apple Watch Series 12: More Data, Better Training?
Apple Watch Series 12 and Ultra 4 bring richer heart-rate, HRV and readiness data. Here’s what the changes mean for endurance athletes.
IFA 2026: Fitness Tech Is Moving Beyond the Screen
Screenless bands, sensing necklaces and bedside radar point to a new fitness challenge: making sense of health data across devices, training and everyday life.
Why Your AI Coach Shouldn't Change Personality Mid-Season
An AI coach should adapt to the athlete without changing its identity, evidence standards or safety boundaries. New robot-persona research shows why that distinction matters.
Primed is live on the App Store
After nearly two years of building and testing, Primed is now available on iPhone, iPad and Mac. Here is what I have been trying to build, what it does today, and where it still needs to improve.
Can an AI Coach Train a Masters Cyclist? A Documented Case Study
Training past 45 requires a different physiological rulebook. Here is how Primed’s age-adapted constraints and recovery algorithms guided a 52-year-old cyclist to a 22W FTP increase and a PR Gran Fondo.
From 12 Weeks of Data to Today’s Workout: A Worked Primed Example
How does an AI coaching engine actually take three months of multi-wearable telemetry, power files, and sleep logs to decide what you should do today? Here is a step-by-step technical teardown.
FOLLOW A THREAD
Editorial collections
Explore recurring questions across training, recovery and the product.
The Decision Room
Training decisions, the available evidence and the reasoning behind the next session.
Signals in Conflict
What to do when recovery scores, biometrics and subjective experience disagree.
N-of-1
Training experiences and examples, viewed through the needs of an individual athlete.
Inside the Coach
Transparent explanations of how Primed interprets data.
Building Primed
The LLM-first, AI-built and Dark Factory journey behind the product.
FROM READING TO TRAINING
Your next session.
A clearer direction.
Bring your training, recovery and how you feel to a conversation with your coach.
