Objects become emotional interfaces. Through materials, proportions, and finishes, we shape reactions as much as forms. What we see: a patina, a balance, a surface, defines how we feel, what we desire, and the direction our taste takes. Perception becomes design: proportions are not rules but sensations that help us understand scale, coherence, and intent.

Behind Products™ engages in an ongoing R&D program focused on furniture and object design, aimed at establishing new design paradigms through the integration of artificial intelligence. The work seeks to expand the epistemological framework of contemporary design practice by interrogating how latent diffusion models (LDMs) and generative systems can operate not simply as tools, but as active agents in the conception and articulation of form, materiality, and spatial logic.

By exploring materials and ideas through advanced tools, we can generate not just single objects, but coherent families, systems of forms that reveal the potential of matter and reinforce the identity of each piece. In this sense, object design is no longer about producing things, but about constructing meaning, crafting relations between people and spaces.

the object and its form no longer follow a linear or procedural logic in which the rendering is understood as the final stage preceding fabrication, rendering produced through AI synthesis becomes the initial act of design, a generative event that opens the field of possibilities rather than closing it. In this sense, image synthesis functions as a speculative instrument that precedes and informs the development of the physical artefact, completely inverting the traditional sequence of conception–representation–realization.

Through a series of iterative studies, the research examines the capacity of AI to generate alternative typologies, speculative material assemblies, and novel approaches to fabrication. These investigations serve as critical instruments for evaluating the potentials and limits of computationally augmented design. Ultimately, the project aims to contribute to the broader academic discourse by proposing AI methodologies that reframe conventional notions of authorship, function, and production within the domain of furniture and object design.