State representations are integrated into generation pipelines through adapter-based modulation, retrieval-augmented conditioning, and structured prompt scaffolding. Conditioning influences explanation density, scaffolding depth, framing, pacing, and reflection prompts.
The goal is not to alter factual accuracy but to align response structure with a user’s inferred cognitive readiness — repositioning AI systems as adaptive collaborators rather than static responders.
This is a short thread — a fuller write-up is coming soon.