feezify is a training copilot — not a coach. It helps you read your own day. Every morning (or whenever you ask), it looks at two things and crosses them:
- How much you’ve trained — your objective form, rebuilt from your activities.
- How you actually feel — from a few honest lines you write in a journal.
Then it tells you, in plain language, whether today is green, amber, or red, and why. That’s it. You decide what to do with it.
What it does
- Reads your training load and turns it into form (a number called TSB — see the method).
- Reads your journal (sleep, fatigue, motivation, mood, stress, appetite, thirst, and a few sentences) into a readiness score.
- Crosses the two with a clear rule — how you feel gates what the numbers say — and gives you a light plus the reason behind it.
- Keeps its own memory of you over time, so it reads patterns a single day can’t show — every claim traced back to a journal entry.
What it does not do
- It never prescribes a workout, pace, wattage, or duration.
- It never calls itself a coach or trainer, and never gives medical advice.
- It doesn’t decide for you. It illuminates; you choose.
- It doesn’t run in the cloud, keep an account, or send telemetry. See privacy & consent.
This isn’t a limitation to route around — it’s the design. feezify makes you a better reader of your own body; it doesn’t outsource the judgment.
Where it came from
feezify used to be a hosted SaaS — a Node/Express/Mongo app with accounts, a database, a server, a frontend, deploys. Most of that was plumbing. The actual value was one small thing buried inside: a way of crossing objective training load with subjective readiness, and a judgment about when how-you-feel should override what-the-numbers-say.
When AI agents arrived, roughly 90% of that app became dead weight. The method didn’t. So feezify was rebuilt AI-native.
The AI-native remap
The old web app and the new agent map tier for tier. The browser was the last interface shift; the LLM/chatbot is the next one. You don’t plug the old app into it — you rebuild the engine one layer down, as an agent, and the database becomes a memory:
| Classic web app | The tier | AI-native feezify |
|---|---|---|
| Browser / frontend | the interface | the LLM / the chatbot (Claude, OpenClaw…) |
| Server / backend | the application engine | the agent — a pure method core + adapters to third-party apps |
| Database | the persistence | a second-brain memory — your journal + the copilot’s own compiled memory of you |
You don’t open feezify’s app. You install feezify’s agent on your own AI.
Who it’s for
- Athletes who train seriously enough to want to read their form honestly — and who’d rather own their data than feed another platform.
- Builders / OpenClaw users who want a clean, hexagonal, fully-tested example of an AI-native rewrite they can extend.
Ready? → Install feezify