The development of computational tools to accelerate experimental workflows in materials discovery has received significant investment in recent years. However, how best to incorporate these tools into the materials discovery workflow is still an active research area. While sharing these tools is possible through code repositories such as GitHub, or through sharing compiled code , this requires technical expertise, which can act as a barrier in the uptake of these tools by experimental researchers who may not have this expertise. Therefore, minimising the technical expertise required for synthetic researchers to use computational tools is crucial for these tools to be successfully adopted.