Objected-oriented hardware design is a powerful heuristic for matching high-throughput laboratory equipment with experiment workflows by remaining initially tool-agnostic during workflow layout, but subsequently building or incorporating automated tools to fit the workflow, which evolves according to design concerns . We commenced workflow layout by first elucidating a generic titration process that would typically be performed manually, shown in Figure , with the addition of ML in-the-loop to account for the future self-driving capability of this platform. The workflow, beginning with analyte input and ending with labware cleaning, is the unit operation of this self-driving platform, i.e., the operation that will be repeated in an automated fashion. At this point, any arbitrary titration workflow can be mapped onto our system, regardless of chemistry, viscoelastic properties, etc. We then list the characteristics of each workflow step that are unique to our experiment. As can be seen in Figure , each step of automating the titration process involves considerations related to material properties (e.g., viscosity, polarity, surface tension) as well as equipment limitations (e.g., speed, accuracy, and precision). Our analyte can be a non-Newtonian liquid with an apparent viscosity of up to 2500 cP. After excluding unstable formulations in prescreening, we know our analytes to be single-phase solutions. Being consumer care products, they also have low toxicity and low vapour pressure, obviating the need for exhaust systems.