In this work, we only conducted the HTE optimisation campaign using a static search space across all iterations comprising 88, 000 possible reaction combinations, defined by the experimentalist prior to initialisation. Future applications could use dynamic, experimentalist-guided modifications to the search space during iterations, combining observed data with expert knowledge. Additionally, integrating more systematic experimentalist input could guide the desired balance between exploration and exploitation at various stages of the campaign, tailoring the process to specific campaign goals.