A lower heart rate at the same pace looks like progress. I’m learning to check the route, weather, effort, sensor and workout section before I celebrate the number.
Lower Heart Rate at the Same Pace: Fitness Gain or False Signal? Read Post »
AI Running Coach Experiment, Training
Garmin can record pace, heart rate and cadence, but it can’t feel the run. At 68, I use RPE as the human signal that helps CoachChat interpret the numbers, especially when conditions change or a sensor misbehaves.
RPE for Running: The Number My Watch Can’t Measure Read Post »
AI Running Coach Experiment, Running After 50, Testing & Data
Heart rate rose during an easy run. Does that prove the run became too hard? I look at what heart-rate drift can tell an older runner, what can corrupt the number and why my AI coach sometimes refuses to calculate it.
Was My Easy Run Really Easy? AI, RPE and Heart Rate Drift Read Post »
AI Running Coach Experiment, Heart Rate Training, Running After 50: Testing & Data
Strava saw my fastest average pace of the month and two “intervals.” CoachChat saw a humid endurance run, a failing chest strap and enough late-session cost to hold the next week steady. The difference wasn’t smarter AI. It was better context.
What Strava Missed About My Run, and My AI Running Coach Caught Read Post »
AI Running Coach Experiment, Running After 50, Testing & Data
A watch can record the run, but it cannot explain the run. Here is the post-run debrief and copyable prompt I use to connect Garmin evidence, effort, symptoms and real life to the next AI coaching decision.
My AI Running Coach Prompt: What I Report After Every Run Read Post »
AI Running Coach Experiment, Running After 50: Testing & Data
I am not asking ChatGPT to spit out a generic 10K plan. I am building an ongoing coach and athlete workflow that connects each prescription to my Garmin FIT data, subjective feedback and the next training decision.
How I Use ChatGPT as My AI Running Coach at 67 Read Post »
Ouch to 10K, Running After 50, Running After 60, Training Tips