The dynamic nature of the communication between Chemspyd and the instrument is emphasized in a third experiment, in which we perform a two-step amide coupling with continuous reaction monitoring. Here, a Python script dynamically orchestrates the execution of the individual reaction steps, the timed preparation and derivatization of aliquots, and their injection to our HPLC system. At the same time, the script interacts with the HPLC instrument to ensure synchronization of both instrument operations. The kinetic traces of both reagents, the proposed intermediate, and the reaction product are shown in Fig. , and are in good agreement with the traces obtained by Liu et al. in their dedicated reaction monitoring platform.