CoachCat AI training is the cycling AI tool that turns raw power, heart-rate, and ride data into a plan I can actually follow. I am an investor in FasCat Coaching, the team behind it, and that disclosure goes first. However, the reason I use the app daily has nothing to do with the cap table. It just works.
Before this app, my ride workflow looked like this. Finish a hard interval set. Pull data into Strava. Squint at the file. Open another app. Cross-check power against last week. Forget what I was looking for. Then go ride the same workout again next week because I never decided what to change. That is not training. That is just collecting numbers.
The cyclist’s data problem this app solves
Cycling is the data sport. Every modern bike head unit logs ten metrics a second. Strava records the ride. Then a coaching platform records the workout. Also a watch tracks recovery. In short, you end the ride with a folder full of charts that nobody, including you, will actually read.
This tool fixes that by being the layer on top. It pulls from Strava and Wahoo and your FTP test. Then it returns one summary, one zone breakdown, and one recommendation for the next session. That is the only output most riders need.
What CoachCat AI training shows me after a ride
- Total time in each power zone, with the target window I was supposed to hit.
- Training load score for the week, compared to the prior four weeks.
- Fatigue and freshness markers that signal whether tomorrow is a hard day or a rest day.
- One plain-English sentence on what the ride did for my fitness.
- The next workout, pre-loaded, ready to push to my head unit.
Why this beats the chart-junk approach
However, the real win is not the dashboard. It is the conversation. The app lets me chat with the plan. For example, I can type that my legs feel cooked, and it will downshift tomorrow’s interval set. Also, I can say I have a four-hour window on Saturday, and it will redesign the week to fit.
That is what most cycling apps miss. They assume the plan is the plan. In fact, no plan survives a real schedule. Mine certainly does not. Between flights, builds, and the dog, the calendar shifts every week.
CoachCat AI training adapts when the week explodes
Last month I had three days of meetings in Rockdale, Texas. I missed a key interval block. Then I asked the app to rebuild the week around what I had left. Within a minute it served a new block. The intensity was the same. The volume was honest about what was left of the week. Then I got back on the bike Wednesday morning and the plan made sense again.
The FasCat partnership behind the tool
For the record: I am an investor in FasCat Coaching. Not a founder. Also, not an employee. I write the checks, I ride the product, and I write the reviews. That is the entire relationship.
FasCat built the human coaching side first. The AI layer came later. The combination is what works. Also, the AI handles the data. The human coach handles the judgment calls. Furthermore, when the numbers and my legs disagree, my human coach Alli wins that argument every time.
How CoachCat AI training fits a real coaching relationship
My week looks like this. The app builds the plan and updates it daily based on what I ride. Then Alli reviews the trend every Sunday and writes notes. After that, I read the notes Monday morning. Furthermore, the plan adjusts for the week ahead. That cadence has held for over a year.
What the app did to my FTP
The headline number: my Functional Threshold Power climbed 32 watts in twelve months. That is not a small bump. For a 50-year-old rider with a Pinarello and a full-time build job, that is a year of compounding gains I could not have engineered with a spreadsheet.
Also, the volume held up. Since 2023 I have logged 33,243 miles, 773 rides, and 607,747 feet of elevation. That is 1,668 hours on the bike. The tool did not produce those miles. I did. However, it made the miles count toward something measurable instead of just accumulating.
Where the app would not have helped
To be fair, the app cannot make you ride. It cannot fix a bad bike fit. Also, it will not pretend you slept eight hours when you slept four. Garbage in, garbage out, just like every other data product. However, given honest inputs, the output is sharp.
How to start without overthinking it
The setup is short. Then the daily ritual is shorter. In fact, most riders waste more time picking a kit than they will spend setting up the app.
- Download the app and connect Strava, Wahoo, and your FTP source.
- Sign up for the trial, which does not require a credit card.
- Tell the platform your weekly availability, your A-event, and your current FTP.
- Ride what it gives you for two weeks before changing anything.
- Then chat with it like a coach when the plan needs to flex.
Why CoachCat AI training matters for the way I ride now
Cycling has bracketed every chapter of my career. The Whinstone years, the AI Factory build, the days when the calendar burns down. Through all of it, I rode anyway. That is the franchise.
Furthermore, the data discipline gave that franchise structure. Before the app, the bike was the constant. Now the bike plus the data plus the plan is the constant. That is a better deal. Also, it is the deal I would have wanted at 30, if AI had existed then.
Who else benefits from this data layer
Beyond solo riders, the platform handles group plans. For example, a couple training for the same gravel event can share the data and run coordinated weeks. Furthermore, coaches with a roster of clients use the back-end to keep ten riders on individualized plans at the same time.
Also, the data export plays nicely with TrainingPeaks and other tools. In short, nothing is locked in. If you decide it is not for you, the file history travels with you. That is the right call for a serious rider. Furthermore, it is the kind of decision a former software builder respects.
What is next and where to find the tool
The roadmap from FasCat focuses on more personalization, deeper integrations with bike-computer brands, and tighter loops between the human coach and the AI plan. For the riders I talk to, the consolidation story is the lead. The tool collapses five apps into one. That alone is worth the trial.
If you want the longer arc on how I think about cycling and the bike as a through-line, my story page walks through it chapter by chapter. Furthermore, you can read more rides on the dispatches feed. Also, the homepage keeps the canonical cycling stats up to date.
Updated: 2026-05-12