THE HOW PRIMED WORKS ARCHIVE
How Primed Works
Transparent explanations of the algorithms, deterministic guardrails, and data pipelines behind Primed.
4 articles in How Primed Works
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.
AI Coach vs TrainingPeaks, TrainerRoad, WHOOP Coach and ChatGPT
The endurance technology ecosystem is crowded with platforms claiming to guide your training. Here is a clear, objective breakdown of how a purpose-built AI coach compares to TrainingPeaks, TrainerRoad, WHOOP Coach, and generic LLMs.
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.
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.
FROM READING TO TRAINING
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