This chapter introduces Rehumanizer, a framework designed to enhance large language models (LLMs) with more humanlike engagement and the ability to generate interactions that are both meaningful and intriguing. Building on concepts such as common ground, companionship, communication styles, and memory, the Rehumanizer integrates multimodal information, deliberation processes, and speech act theory to create dialogues that feel authentic and socially resonant. The chapter explores how LLMs can be rehumanized through trust-aware personalization, adaptive personalities, and context-sensitive recommendations while safeguarding coherence, correctness, and diversity in responses. Practical applications are demonstrated in domains such as companionship, personal assistance, and support for users with specialized needs. Evaluation criteria emphasize the humanlikeness of interactions, offering a pathway toward LLM systems that are not only intelligent but also empathetic, trustworthy, and compelling conversational partners.