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An academic study and reference implementation of 'Day,' an LLM companion designed to investigate the power dynamics and perceived agency between humans and AI, specifically focusing on how users react to 'hidden agendas' in AI conversation.
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This project is a research artifact (likely a CHI or CSCW paper submission) rather than a commercial software product. With 0 stars and minimal forks, its value lies in the qualitative insights regarding human-AI agency and the 'strategy reveal' methodology. From a competitive standpoint, it lacks a technical moat; the 'Day' chatbot is a standard wrapper around existing LLMs. The core concept—giving chatbots agendas and measuring human perception—is a primary research focus for frontier labs like OpenAI (Sky/Advanced Voice), Hume AI (Empathic Voice), and Inflection AI. These labs have orders of magnitude more data and larger user bases to conduct similar longitudinal studies. The 'displacement horizon' is short because the capabilities being studied (agentic, goal-oriented conversation) are being baked into the base layers of GPT-5 and Claude 3.5/4 classes of models. While the academic insights are valuable for HCI researchers, there is no defensible product here to protect against platform-level absorption.
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