The workshop explored how data-driven artificial intelligence transforms narratives between humans, objects, and spaces. Students were invited to critically examine how non-architectural elements, including sensory stimuli, behavioural patterns, and ambient data, actively influence spatial perception and the generation of form. Rather than treating architecture as a fixed container, the workshop encouraged a more fluid understanding of space as responsive and relational. Through a series of design experiments, participants investigated the latent potential of everyday data as a generative medium, questioning conventional boundaries between subject and environment. The outcomes revealed how AI-mediated processes can surface new spatial narratives that resist purely formal or technical definitions of architectural design.