The idea of Adaptive Solar Façade (ASF), as a modular, dynamic, and flexible types of smart façades could be a promising approach in a comfort-centric design through the proper integration with the parametric design. Therefore, this paper is to investigate the development process of ASF grounded on parametric design tools with a focus towards its visual comfort indices through a controllable shading system. To that end, first, a comprehensive literature review was carried out to develop an origami-based dynamic system, and three numerical timing patterns were then applied using Grasshopper plug-in for Rhino. In addition, the environmental plug-ins of Honeybee and Ladybug were employed to determine indoor daylight quality via different geometrical and physical properties. Thus, 1800 design models were prepared, based on several variables including rotation motions, indoor view angles, time hours and transmittance properties in order to investigate the daylighting performance and glare probability in a single office space located in the hot-arid climate representative; Tehran, Iran. Furthermore, interactive correlations between the geometrical pattern and visual performance were investigated, leading to this fact that the proposed prototype can significantly improve the flexibility of the shading system to control visual comfort. As the conclusion, all datasets were integrated into an algorithmic workflow while converting its advantages and limitations into an optimization process. Finally, a full potential hexagonal adaptive system was presented to achieve the maximum visual comfort level based on the users' preferences that can be the basis for future investment on smart building envelopes.