The coolest thing I got in the dashboard is the dynamic calendar. You click on any session in the calendar. That brings you to the list of activities. Click in any activity and in the bottom the "session details" open up, that show you exactly what is on the menu today.

Hi guys - figure there are other people who also use Whoop in conjunction with Garmin / Strava for their fitness tracking, so I integrated into my Athlete OS and had Claude spit out some simple instructions anyone can copy/ paste into their system and integrate Whoop for recovery alongside Strava for activities! Excited this worked, and my dashboard now includes my Whoop recovery score and RHR each day - and my coach takes these factors into account in my weekly reviews. Overall, process is super easy and mirrors the Strava connection almost 1:1! --- Connect my Whoop to this project so my recovery data (recovery score, HRV, resting heart rate, sleep, strain) can feed my training plans. Walk me through it like a guide, one step at a time, in plain English. I may have never done anything like this, so go slow, explain what you're doing, and wait for me whenever you ask me a question. Don't dump it all at once. Here's the plan. Take it one step at a time: Step 1 - Help me register a Whoop developer app. Tell me to sign in at developer.whoop.com with my normal Whoop account and create a new app. Walk me through the form: any app name works (it's just for me), use http://localhost:8080/callback as the redirect URI (explain that nothing needs to run there - it's just a landing spot for a code I'll copy), and select the read-only scopes: read:recovery, read:cycles, read:sleep, read:workout, read:profile, read:body_measurement, and offline (explain that offline is what lets you refresh my access without me re-approving every hour). Wait for me to come back with my Client ID and Client Secret. Step 2 - Store my credentials safely. Save the Client ID and Secret in a .env file in this project (create it if it doesn't exist) as WHOOP_CLIENT_ID and WHOOP_CLIENT_SECRET. Two hard rules: never repeat my secrets back to me in chat, and if this project uses git, make sure .env is in .gitignore before anything else happens.

When I saw the obisdian notes in Kevin's reel on IG, it got me hooked. Not only looked real cool but also seemed like its advanced stuff. Got it setup now. Very happy with it. On an honest note, the inherent value add is limited. But now getting chart/tracker graphs done, so hoping to get more insights from that setup.

Just dropped the first lesson of the new advanced Athlete OS! This will be the first part of the advanced series where we take the Athlete OS beyond our local computer and into our every day lives. The idea - your AI coach is only as good as how your data is organized. So this one gives your Athlete OS a real brain. You take everything you've built and turn it into a connected wiki vault: your whole training history structured, tagged, and linked so your AI can actually remember all of it. What that gets you is way better answers. Instead of reacting to your last few runs, it reasons over years of your real data - and the more you feed it, the sharper it gets. It's able to draw inferences across your entire data set and provide you actionable results aimed at improving your training. One catch - it's locked at Level 2. Easy to hit though. You level up from likes on your posts and comments, and Level 2 is just 5 points. So introduce yourself, post a win, and comment on a few other people's posts. That unlocks it. See you in there. Course here: https://www.skool.com/athlete-ai-community/classroom/e8195ec4?md=ff851d9fea8f4363b69c0444f7214a23 I'll be posting the remaining initial videos of the Advanced Series later this week, so if you get through this one, hang tight as the others are coming! Pumped to get feedback and see what you all can build! Kevin

Glad you're here. I'm Kevin, an ultrarunner & triathlete (Leadville 100 was my most fun race). I'm not a tech guru. I got curious about AI, realized I could build training tools tailored exactly to me from my own data, and it actually worked. Now I want to teach you to do the same and connect with people building cool things in fitness with AI. That's the whole idea: learn something genuinely interesting, build stuff that's truly yours, and do it alongside like-minded people. Zero coding required. Five steps to start: 1. Introduce yourself in the feed. Something like: "Hi, I'm Steve, I run trail ultras and can't wait to build with AI!" 2. Complete the intro poll so we know we can build the content around what you want: Athlete AI Poll 3. Watch Start Here course (top of the Classroom). Two minutes. 4. Do Day 0 in the 7-Day Challenge: Set Up Your Workshop. 5. Post in Wins as you finish each day, tagged (#Day0Ready). We celebrate every one. The setup day is the hardest part, and we get everyone through it. Stuck? Post what you tried and someone (often me) will get you unstuck. Let's build. Follow the road to The Rut.