To facilitate the adoption of our system, we developed a user-friendly web application interface, empowering any researcher to send experimental jobs easily, monitor their progress, and analyze the resulting data. This layout is shown in Figure . The web application is built using the Streamlit package , is hosted on the orchestration device and includes a sidebar menu that enables toggling between the available devices of the laboratory. Once the user clicks into a tab, the web interface shows the actions of the device and the inputs needed for their execution. Users can then upload job files, visualize and download results, and control the Bayesian optimizer using the application. Workflows involving multiple steps need to be coded in Python using scripts that send commands to the instruments and modules. Moreover, the SiLA2-type system offers a promising approach for implementing a no-code platform, enabling users to define workflows in a more user-friendly manner.