Show HN: StegCore – a decision boundary for AI systems (truth ≠ permission) (github.com)

StegCore has been introduced as a pivotal infrastructure layer designed to manage permissions for AI systems using verified continuity outputs, such as those from StegID. It primarily answers critical questions regarding actions an actor can perform under specific constraints, emphasizing a clear distinction between permission and verification. This infrastructure facilitates orchestration and observability across various nodes—services, AI entities, devices—within the StegVerse. Importantly, StegCore does not handle identity storage, receipt verification, or medical diagnostics, thereby establishing its role strictly in security and operational oversight. The significance of StegCore lies in its ability to provide a structured decision-making framework based on contextual actions from different actors (human, AI, or systems). Its decision outputs include permissions that can either allow, deny, or defer actions with associated machine-readable reason codes. Technical components such as "Policy shapes," which categorize decision structures, contribute to the robustness of the system. As the backbone of future runtimes, StegCore's documentation-first approach ensures that developers adhere to rigorous specifications while allowing it to adapt over time in response to real-world needs and scenarios.