The use of the commercially available system enables precise sample preparation protocols by controlling the volumes and the mixing times and increasing the rate of reproducibility and reliability of results. Similar equipment has already been used to prepare samples for EPR and solid-state NMR measurements. It has been shown by EPR studies the freezing time of the droplets is between 5-10 ms, with a freezing rate estimated to be 10 5 K/s. A similar approach, but without automatization of mixing and aging, has already been used for solid-state NMR combined with DNP. It becomes possible to probe millimolar concentrations in inorganic transient species and progress in describing their structure and composition. For example, C MAS DNP was used to probe CaCO3 dense liquid droplets for which the ionic speciation (i.e., carbonate/bicarbonate ratio) inside the droplets was found independent from the global pH. In the case of CaCO3 prenucleation clusters, 2D 1 H- C DNP NMR shows that the Ca 2+ •••HCO3 -ion pair can be stabilized by an aspartic acid molecule. Beyond a biomineralization context, C MAS-DNP was also used to trap and evidence metastable polymorphs, including amorphous precursors in the context of the crystallization of organic molecules such as glycine or aminobenzoic acid. However, the total sample preparation time-including mixing the solutions, aging, rotor packing, and insertion into the NMR probe-is crucial. Minimizing this time is essential to capture transient intermediates before they evolve into more stable states. Manual sample preparation, where the sampling is done by hand, takes at least several minutes before starting the NMR acquisition, which is unsuitable for fast reactions. Therefore, implementing automated systems for sample mixing, aging, and rapid quenching would enable the effective capture of short-lived species and improve the repeatability of experimental studies. Furthermore, optimizing the rotor packing process and its insertion into the magnet is essential to address practical aspects of the workflow.