More generally, the adoption of flow technology presents numerous advantages over traditional batch methods. Particularly, when compared to batch processes, flow reactors provide a significantly greater interfacial area, enhanced mass transfer, higher chemical selectivity and consistent mixing profiles. The latter is of uttermost importance for nanoparticle formation. Only flow reactors provide the reproducibility by precise tuning of flow parameters to obtain particles of the same quality over several runs again. Thereby, when an amphiphilic BCP is dissolved in organic solvent (THF) and mixed under precise flow conditions with water, nanoaggregates of various size and form are obtained. Important in this process is not only the exact geometry of the flow reactor setup, and most specifically the employed mixer unit, but also the concentration of the polymer solution, the flow rate and the mixing ratio with water. In a recent study, we exploited this reproducibility by introducing dynamic light scattering (DLS) as online monitor to provide parameter space screening in an autonomous fashion. Next to our platform also other advances have been made to realize online monitoring systems for particle formation. Meulendijks et al. used online DLS to monitor the batch synthesis of silica particles. Torquato et al. used fibre optics as inline monitor, screening flow micelle formations from surfactants. However, only our own setup allowed for fully autonomous operation, which opens its use also to other possibilities, in that it can be employed to optimize synthesis towards a pre-programmable outcome.