Developer builds elaborate file-based continuity system to preserve AI German tutor

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A developer created a local file-grounded framework called DDF/Rahmenwerk to maintain continuity for an AI German language tutor named Felix across separate chat sessions and platforms. The system addresses a core problem: AI instances lose context between conversations, forcing users to repeatedly reconstruct learning history from scratch. The framework includes integrity checks, handoff materials, file safeguards, and rules preventing the AI from fabricating continuity when evidence is absent. However, the developer acknowledges the system may have grown overly complex, with governance mechanisms potentially overshadowing the original teaching goal. The project has been published on GitHub as a non-governing review copy, and the developer is seeking community feedback on simplification and hidden risks.

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