 Like a toggle-switch that turns an electrical device ON or OFF, genetic toggle-switches have been found to regulate many biological processes such as the cell cycle of budding yeast and developmental processes in fruit flies (Tyson et al. 2003; Jaeger &amp; Crombach 2012). A genetic toggle-switch is a double-negative feedback loop that shifts the system between two distinct stable states of gene expression—allowing synthesis of one protein while another is repressed. Synthetic biologists have succeeded in constructing a synthetic toggle switch in E. coli (Gardner et al. 2000), and the toggle switch is now considered part of the design composites or ‘computational templates’ for building new synthetic systems (Choffnes et al. 2011; Humphreys 2004). Recent work in synthetic biology also involve RNA-based regulatory genetic switches, called riboswitches, that can control gene expression by binding to specific ligands (Mehrshahi et al. 2020). The dynamic behavior of genetic toggle-switches have also been investigated in studies of parameter spaces for robust functioning of network motifs (Tyson &amp; Novák 2010), and in approaches combining the modeling framework of dynamical systems theory with reverse engineering of gene regulatory networks from experimental data (Huang et al. 2009; Jaeger &amp; Crombach 2012). Because of the abstract nature of proposed design principles, an interesting philosophical question is how such strategies relate to discussions about the possibilities of laws-like generalizations in biology.