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This research aims to develop a prototype of a generation model based on the performance of multiple criteria that can autonomously create single-family projects of social interest. The use of this model aims to help choose the best results, balance performance indices, and identify the most appropriate solution to a design problem. This research is driven by the introduction of new computational techniques to the design process and the need for more theoretical research to better understand these new practices. The proposed model was executed in visual programming software in three stages of creation and testing, each with a specific objective. The model makes it possible to generate and analyze housing of social interest through multiple criteria and to produce discussions about the use of the tool. Demonstrating that its use allows helping explain the design decisions by bringing models and data previously not considered or visualized.