A 20–30 second voice note after every session. Zenith pairs it with your activity and recovery data from Strava, Garmin, Whoop or any major wearable, and remembers everything for when doubt strikes at 6am.
You're standing at the door, intervals on the plan, calf feeling off. Your coach has twenty athletes and won't reply for hours. You've already made the decision before the answer arrives — and you already know what usually happens next.
Distance, pace, heart rate — all there, going back years. But when you want to know why you felt strong in October, or what happened the two weeks before your last injury, the data says nothing. It only tells you what you did, not what it cost.
You've tried typing your training history into ChatGPT. You've re-explained your block structure, your injury, your race date — again. The answer is always anatomically correct and personally useless. It doesn't know you. It never will.
Zenith works because it does two things at once — captures how you felt in your own words, and connects it to the session data already syncing from your Strava account or wearable. Neither alone is enough. Together, they make every answer specific to you.
Right after a session — still outside, still breathing hard — you leave a voice note. What went well, what felt off, whether that calf twinge was a two or a six. Zenith transcribes it and connects it to the activity that synced automatically — from Strava, Garmin, Whoop, Polar, Oura, or any major wearable.
Most training data captures what happened. This captures what it cost.
Each note adds a layer — alongside your activity data and any recovery signals your wearable shares. Within a few weeks, you have a searchable record of how your body has been behaving: which sensations came before what outcomes, which load patterns leave you strong, which ones tip you into fatigue.
The note from eight weeks ago is just as accessible as the one from yesterday.
When doubt strikes — before a session, mid-run, in taper week — you ask. Zenith reads your training memory, pulls the relevant sessions, and gives you an answer specific to your history. Not “rest sounds sensible.” What happened the last three times you felt this.
Apply for betaAfter every session, twenty seconds with your voice. The rest — activity data, recovery signals from your wearable, occasional notes when something's worth saying — flows in without lifting your effort. Zenith uses it all.
Twenty seconds, by voice, while you're still outside. The qualitative core — what you felt, what hurt, what surprised you. The only thing required.
“Felt strong from K10. Right calf tight all session — same spot as March.”
From Strava, Garmin, Whoop, Polar or Oura. Activity data always — splits, HR, pace. Sleep, HRV, recovery and readiness when your wearable provides them.
Connect once. Everything flows in for as long as you stay connected.
Whenever something's worth saying — a rough morning, a tight calf before bed, a mood shift after a hard week. Zenith remembers and uses it. No daily ritual required.
“Slept badly. Head’s not in it. Don’t feel like the threshold session.”
“My calf has been tight since yesterday's tempo. Should I do today's long run?”
Calf tightness after a tempo run can have several causes. If the tightness is mild, light activity may help. If it persists, rest is advisable. Consider stretching and foam rolling. If pain worsens, consult a physiotherapist.
“My calf has been tight since yesterday's tempo. Should I do today's long run?”
You mentioned left calf tightness after your tempo on Tuesday — “not sharp, more of a background pull.” This is the third time you've flagged that area in the last six weeks. The two previous times you ran through it and noted increased fatigue two days later in both cases.
Given you're 18 days from your target race, I'd shorten today's run significantly or swap for an easy 40-minute spin. Your training load this block is already at a peak. There's nothing to gain from pushing through this.
No other tool has that context. Because no other tool was listening when you left those notes. Zenith was.
The difference between a useful answer and a useless one is context. Zenith assembles your full picture — your activities and notes, your training goal and race date, everything you've told it about your body — before it says a word.
Generated from 23 training notes, 11 weeks of activity history.
Apply for beta →The difference isn't model capability. It's context. No other tool captures the qualitative layer of your training and makes it queryable.
| Zenith | ChatGPT | WHOOP Coach | TrainingPeaks | |
|---|---|---|---|---|
| Captures how it felt (voice notes) | Yes | No | No | No |
| Remembers every session | Yes | No | No | No |
| Connects Strava + wearables | Yes | No | WHOOP only | Yes |
| Uses sleep + recovery data | Yes | No | WHOOP only | No |
| Answers specific to you | Always | Never | Limited | Never |
| Hardware required | No | No | Yes | No |
TrainingPeaks €19/month — no AI. WHOOP €30/month — no training plan context, no qualitative memory.
We're testing specific hypotheses before opening to more athletes. If you train seriously and want a coach that remembers everything you tell it, apply below.
No credit card. No hardware. Beta access is free.
Every session adds a layer. Your sensations, effort, early warnings — captured before they fade.
Ask anything about your training. Get a specific answer grounded in your own history.
Patterns you can't see when you're inside the training. Every morning, three perspectives — including how your sleep and recovery line up with how each session felt.
Start building your training archive. Memory starts with your next voice note. The coach who never forgets starts listening today.
Serious endurance athletes only. Closed beta — 50 athletes currently. Early Access opens soon.