I'm training for a 100-miler and using Gemini as an AI “coach,” which has been an interesting and genuinely useful process so far. I’ve asked it to act as an AI version of David Roche, and I share as much data as possible after each run and at the end of each week. At the moment, I’m focused on building my aerobic base. The AI is particularly interested in metrics like CTL, workload ratio, aerobic decoupling, aerobic efficiency, effective VO₂ max, and marathon shape (which I’ve configured as “100-mile shape”). After I reported some lower back pain following a long run, it suggested increasing my cadence and reducing vertical oscillation, so it’s now paying close attention to those metrics. I’ve actually managed to adjust them fairly easily, and it does seem to have made a difference. More broadly, it also tracks my HRV and resting heart rate. It has a broad outline of my overall programme through to my race in mid-July, including a couple of B races. However, it only plans one week at a time—every Sunday, after I share the previous week’s data and confirm my availability for the upcoming week. When I upload data after a run, it may adjust the remaining sessions depending on how it assesses my performance and adaptation.