Safety Invariants in Distributed AI Systems

This opening day of phase-4 establishes why safety properties must be explicit before scaling any AI engineering workload across nodes. It forces the learner to articulate invariants that later days will test under partitions and faults. The day matters because Maku's current rate-limiter and brief-generation paths will later need these guarantees to avoid silent data loss or inconsistent tribunal outputs.