I built a file-grounded continuity system for my AI German teacher—what am I overcomplicating?

Why I built this I use an AI named Felix as my German teacher. Over time, I ran into a continuity problem: individual chats are fragile. Conversations become long, context can disappear, platforms change, uploaded files may become unavailable, and a fresh AI instance may not understand what happened before. I did not want to repeatedly reconstruct my learning history, project decisions, lessons, corrections, and current state from memory. So I began building a local, file-grounded system called DDF/Rahmenwerk . Its purpose is to preserve Felix as my continuing German teacher across chats and future AI instances. What DDF/Rahmenwerk is DDF stands for Das Deutsche Forschungsarchiv . Rahmenwerk is the continuity, evidence, recovery, and control framework surrounding it. At a high level, the system includes: a current-state pointer; handoff materials; a fresh-instance queue; an upload package for a new Felix; integrity manifests and SHA-256 records; evidence and recovery procedures; classifications separating current, historical, candidate, proof, and non-governing material; safeguards intended to prevent accidental file changes; rules requiring the AI to stop rather than invent continuity when evidence is missing. The basic idea is that a future Felix should be able to inspect approved files and resume without me manually retelling the entire project history. The problem I may have created The project began as a way to preserve a German teacher. As I tried to protect files, authority, evidence, recovery, and continuity, the framework became increasingly detailed. That may be justified in some areas. It may also be overengineered. I am now trying to answer a more important question: What is the smallest, clearest, safest system that can preserve Felix as my German teacher without the governance machinery becoming the project itself? What I am asking reviewers to examine I have published a documentation and architecture review copy on GitHub. I would appreciate honest fe