Interesting approach. Since this tool suggests claude.md entries based on your corrections and feedback, and there is a human in the loop for you to precisely control whats added, I think it should work fine for your setup.
Agree, thats why I did 2 things:
1) HITL - you review/approve changes
2) Added some instructions around limiting the claude.md size and keeping it concise
2 thoughts:
1) they are, but they wont catch unique patterns very specific to your project
2) privacy - afaik they only train if you have model improvement enabled.
Your workflow sounds solid - and honestly more disciplined than most. The difference I was going for: catching implicit corrections you don't consciously document.
So probably complementary to what you're doing, not a replacement. If you're already doing post-phase reviews, you might catch most of this anyway.
This skill guides AI agents through the complete lifecycle of building ChatGPT Apps:
1) Fit Evaluation - Determine if a ChatGPT App is right for your product
2) Architecture Design - Plan MCP servers, tools, and widgets
3) Implementation - Build with Node.js, TypeScript, and React
4) Testing - Local development with ngrok, ChatGPT integration testing
5) Deployment - Production hosting and App Store submission