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
At 68, my easy-run cadence often sits well below the famous 180-SPM target. I looked at what the number really means, what the research supports and why my AI coach treats cadence as evidence, not a command.
Running Cadence Over 50: Why I’m Not Chasing 180 SPM Read Post »
AI Running Coach Experiment, Running After 50, Testing & Data, Training Tips
My watch can divide a run into tidy coloured zones. The untidy question is whether those zones describe me. Here’s how I used a field baseline, RPE, breathing and later runs to create provisional numbers without pretending they’re laboratory results.
Heart Rate Zones for Runners Over 50: Why Mine Are Provisional Read Post »
Experiment
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
A Garmin activity summary shows the result. The FIT file holds the timeline underneath it. Here’s what that file can tell an AI running coach, what it can’t know, and why the runner’s own report still matters.
What Is a Garmin FIT File? The Runner Behind the Summary Read Post »
AI Running Coach Experiment, 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
An adaptive running plan should respond to real evidence without rewriting the week every time one number looks odd. Here’s the rule I’m testing with CoachChat during my BlackToe Holiday 10K build.
When to Adjust a Running Plan: My AI Coach’s Smallest-Sensible-Change Rule 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
The internet can give an older runner hundreds of “essential” exercises. I used AI to help reduce the noise to seven movement needs, then kept the exercises I will actually do.
Minimum Strength Training for Older Runners: My Seven-Movement Framework Read Post »
Longevity, Running After 60, Strength & Mobility, Strength Training
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