10 knowledge nodes covering the structural frameworks that govern multi-turn AI voice dialogue — state machines, intent transitions, context memory, and error recovery.
Conversational Architecture defines how AI voice systems structure multi-turn dialogues — governing state transitions, context memory, intent flows, and error recovery to ensure consistent, goal-directed conversations.
State machine trigger patterns | Multi-turn context retention | Intent escalation signals | Error recovery invocations | Dialogue phase progressions | Fallback activation markers