FasCat CoachCat vs AdaptCycling: it revises the workout, we rebuild the plan

CoachCat is the AI layer on top of FasCat’s coaching business, and it’s a serious piece of software — not a chatbot bolted onto a spreadsheet. It builds your plan from FasCat’s library of coach-designed Optimized™ plans, structured as phases of training, then coaches the day-to-day: instant power analysis the moment a ride uploads, auto-FTP detection when you cross a new threshold, a morning readiness check, and a daily Optimized Score assembled from HRV and sleep pulled off wearables like WHOOP, Oura, and Garmin. It reads Strava and your bike computer, talks back in a genuine chat interface that remembers past conversations, and can push a workout straight into Zwift or Rouvy. On concrete capability, it’s one of the more complete AI coaches on the market.

It’s also backed by something most AI tools can’t claim: two decades of real coaching. Frank Overton has run FasCat since the early 2000s and coached full-time since 2004, and the company describes CoachCat as trained on that experience plus more than a million workout analyses. When CoachCat tells you a session went well or flags that you’re digging too deep, there’s a coherent methodology underneath the answer, not just a language model improvising. That depth is a real strength, and any honest comparison has to start by giving it credit.

The interesting difference isn’t capability — it’s intent. CoachCat is, by design, not continuously adaptive. Ask it to shrink today’s ride to 45 minutes and it will, but FasCat’s founder has been explicit that the AI is deliberately kept from constantly re-adapting the overall program: the belief is that when the plan is always shifting, athletes stray too far from its intent, and consistency is what actually makes people faster. Changes stay local to the moment. It’s a defensible coaching philosophy, and for a rider with steady weeks it’s arguably the right one.

AdaptCycling is built on the opposite bet. Our whole reason to exist is the week that falls apart — the illness, the work trip that eats a block, the race that slides three weeks, the sick kid who costs you a weekend. When that happens, tuning the next workout isn’t enough; the shape of the plan is now wrong. So AdaptCycling re-periodizes the remaining weeks to protect your goal, reads every ride from your Strava history to know where you actually stand, and attaches a plain-language reason to each session so you understand why the plan changed. CoachCat keeps you consistent to a fixed program. AdaptCycling keeps the program honest to your life. Neither is wrong — but if life is the thing that keeps derailing you, that’s the difference you’ll feel every month.

FasCat’s clearest advantages are its track record and its ladder. CoachCat is the bottom rung of a real coaching business: like the AI and want more, and you can climb into human tiers where a FasCat coach reviews your files and talks with you every few weeks — the kind of upgrade path a pure-software product simply doesn’t have. Add a large free blog and an established podcast, and you’re buying into an ecosystem, not just an app. If that pedigree and that path matter to you, FasCat earns the pick.

The trade is price and adaptation model. CoachCat runs $34.99 a month, or $17.50 a month if you commit to a year — a premium that reflects everything behind it, but roughly double AdaptCycling’s monthly rate, with no permanent free tier to test the water. AdaptCycling generates a full adaptive plan for free and charges $15 a month only when you want the chat coach. For a self-coached rider whose main problem is a schedule that refuses to cooperate — and who wants to see the plan work before paying — that combination of a real free tier and a coach that rebuilds when life happens is the case for switching.