The project site is located on the main street of the TU Delft campus.The building consist of adaptable and interactive housing integrated with public and semi-public studying and working spaces. The hybrid of the working spaces mixed together with housing was chosen due to the increased number of people working from home and the proximity of the building site to the TU Delft Campus, which needed additional study spaces. For this project the main goal was to minimise unusable space of the housing complex during the day and night radii of attraction towards different functions. This simulation helped to achieve an optimized layout of the spatial arrangement within the building, based on the agents’ paths. Parallel to the studies of the agents’ flow within the site and the building, another study was performed on the ergonomics of the space needed for certain activities. That study helped to create optimized apartments, where places were designed for different activities that can be carried out while walking, standing, sitting or laying down, and with a different need for privacy. During the design process different parametric tools and simulations were applied. This helped to achieve the complexity within the building and interaction of the spaces, which was impossible without parametric input. The chosen concept led to a more social and interactive environment within the building. Spaces that are used during the day for working places and public activities will become an extension of the private apartments in the evening when people return from work/studies. Moreover inhabitants can customise their space according to their preferences, making it more open or private. time. This was achieved by taking into account the movement of the people within the building, their everyday activities, space reconfiguration and an introduction of adjustable boundaries between private, shared and semi-public and public spaces. The site entrances and the circulation within the site were determined after running a simulation of a swarm of 4 different classes of agents approaching the site and circulating within it between different attraction points and repellers. Different groups of residents were studied to create these 4 classes of agents, representing visitors, families, bachelor students, master students and researchers. Each class of agents, depending on their everyday activities, was given a different factor of cohesion, alignment and separation. Agents also had different speeds, view angles and tail lengths (which other agents could follow), as well as different factors and