Generative components and generative AI are both related to the idea of creating new content, but they differ in several ways. Generative AI can be used by the Architects to optimize building performance for factors such as energy efficiency, structural stability, and environmental impact. Generative AI can also be used to explore a wider range of design possibilities and to optimize building designs for cost. Generative components are software tools that allow architects to create complex building designs by specifying a set of design rules and parameters. These tools are often used in parametric design, which is a method of designing buildings and other structures by defining a set of rules that determine the shape, form, and behaviour of the final design. With generative components, architects can create and modify design elements in a dynamic and iterative way, exploring multiple design options quickly and efficiently. Generative AI, on the other hand, refers to a subset of artificial intelligence techniques that involve the use of machine learning algorithms to create new, original content that is not based on pre-existing data. Generative AI can be used to generate a wide range of content, such as images, music, or text, based on a set of rules and parameters specified by the user. The resulting output can be highly creative and unexpected, as it is not limited by pre-existing data. While both generative components and generative AI involve the creation of new designs or content, they differ in their underlying techniques and applications. Generative components are focused on creating complex designs based on predefined rules and parameters, while generative AI is focused on creating new content that is not based on pre-existing data. Generative components typically involve more control over the design process, while generative AI allows for more creative and unexpected results. In current time Architects has advantage of using both Generative component and Generative AI to make their design very effective, functional and futuristic.