The research on engineering software applications that employ artificial intelligence (AI) and machine learning (ML) is at an all time peak. However, most of the research is focused on the interaction between humans and AI which is predominantly concerned with building immersive interfaces and user experiences that allow for increased telemetry or on handling AI and ML applications in production (MLOps). Nonetheless, the research on fundamental architectural differences between AI-powered applications and traditional non AI-powered ones did not receive its fair share of attention. To that end, we believe that a new take on the fundamental architecture of building software applications is needed. With the ever increasing prominence of content-driven and AI-focused applications, it is our conviction that content could be served by servers without clients actually requesting and that servers could (should) request data on demand from clients without waiting for their requests. Hence, in this paper, we propose the fluid architecture that facilitates the bidirectional interaction between clients and servers in AI-based systems.