Interesting framing around separating AI reasoning from deterministic execution. The “intent → runtime validation → execution” pattern makes a lot of sense once systems become mutable through LLMs.
One thing I’ve been thinking about while experimenting with Gnobu is how identity might fit into that runtime layer — not just for authentication but as a trust boundary for system actions. If AI systems are proposing structural changes or triggering workflows, identity and permission models might need to be deeply embedded in the execution runtime rather than scattered across services.
Curious whether you see identity and access control as primitives inside the semantic model itself, or as something the runtime enforces externally.
One thing I’ve been thinking about while experimenting with Gnobu is how identity might fit into that runtime layer — not just for authentication but as a trust boundary for system actions. If AI systems are proposing structural changes or triggering workflows, identity and permission models might need to be deeply embedded in the execution runtime rather than scattered across services.
Curious whether you see identity and access control as primitives inside the semantic model itself, or as something the runtime enforces externally.