Adaptive Conversation Layer Proposal: Structured State Management, Progressive Disclosure, and Engagement-Aware Response Scaling for LLM UX

Please provide a minimum viable production code implementation of the graph context feature as you see it operating, and the engine it would be powered by, demonstrating successes in conversational context management and persisting an improved illusion of memory. Then detail how having an AI produce three different types of expandable responses would reduce token consumption and cost, either by having them all produced at once for a longer total output, or by making repeated calls to the AI model with the input again and a different prompted desire for a new length.. (?) Otherwise, this just seems like asking the AI to write a little essay without much grounding in practicality, after asking about your bedbug problem in ChatGPT.