This chapter traces the historical and conceptual trajectory of AI communication, from early symbolic interfaces to the emerging post-prompt paradigm. It begins with the origins of machine interaction, examining how rigid, logic-based systems evolved into more expressive, adaptive, and conversational AI frameworks. The discussion highlights the shift from command-based paradigms to dialogic, multimodal, and embodied systems, offering a comprehensive view of the communicative transformation enabled by generative AI. The chapter explores the rise and limitations of prompt engineering as both a breakthrough and a bottleneck, setting the stage for post-prompting approaches grounded in context, ambient interaction, and co-adaptive meaning-making. It further considers how the democratisation of AI interfaces broadens access and inclusivity, redefining AI communication as a shared, evolving process between humans and intelligent systems. Ultimately, this chapter provides a foundational framework for understanding the conceptual evolution toward fluid, goal-oriented, and human-centred AI interaction.