When planning to generate a dataset of biomolecular dynamics, it is critical to consider the functionally relevant timescales one wants to explore. For easy systems, relevant dynamics might occur on nanosecond to microsecond timescales (Fig. ), while medium and hard systems often require simulations extending to milliseconds or even seconds to capture important biological processes, highlighting the need to account for both system size and the timescale of the events of interest. Knowing the timescale of interest, one must ensure that they have simulated long enough to capture relevant biological events. Balancing the cost per timestep with the need to explore longer timescales is crucial for effectively simulating biological systems. Furthermore, one must also ensure that conformational changes of interest have been sampled multiple times to ensure statistical robustness during analysis. Many criteria have been established and discussed in prior work to identify and ensure that simulations are appropriately sampling the conformational transition of importance .