altered-states-router

Routing altered-state input involves parsing substance cues, intensity cues, and emotional themes from natural language to map and load the correct target skill at the appropriate intensity level.

Managing altered-state blends applies routing logic across conversations to determine the dominant substance and intensity, then maintains robust state transitions and context passthrough for accurate skill loading.

Handling altered-state state transitions uses deterministic loading logic to manage safe exits and re-entries, ensuring the target skill is correctly embodied while preserving context throughout the session.

Yes, set and setting passthrough is supported when routing altered states, preserving your emotional context and environmental factors across transitions to the loaded target skill.

Onset reminders are applied during altered-state skill loading to provide timing context, ensuring safe and deterministic transitions while the target skill is fully embodied and active.

Natural language routing for altered states relies on parsing explicit substance and intensity cues, so ambiguous inputs without clear dominance indicators may limit accurate skill mapping and state transitions.