AI RESEARCH
HabitatAgent: An End-to-End Multi-Agent System for Housing Consultation
arXiv CS.AI
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ArXi:2604.00556v1 Announce Type: cross Housing selection is a high-stakes and largely irreversible decision problem. We study housing consultation as a decision- interface for housing selection. Existing housing platforms and many LLM-based assistants often reduce this process to ranking or recommendation, resulting in opaque reasoning, brittle multi-constraint handling, and limited guarantees on factuality. We present HabitatAgent, the first LLM-powered multi-agent architecture for end-to-end housing consultation.