Using this heuristic method, we are able to analyze the structure of the CRN itself. The average trajectory (Figure ) satisfies a rate equation of the system. We observe (see Supplementary Information) that the average trajectory is smooth, indicating convergence to the exact expected dynamics. Because the rates used in our simulations are arbitrary, the dynamics themselves are not meaningful, but the trajectory smoothing ensures that we have sufficiently sampled reactive trajectories. Therefore, the identified products are well defined and invariant to changes in e.g. random seeds. The products of the network are not necessarily the metastable or stable products that would be observed experimentally, nor are they necessarily exhaustive (as they depend on which species are included in the CRN). Nonetheless, the network products provide useful hypotheses regarding what might form in an actual reactive system. We can then interrogate these hypotheses and validate them by either theoretical or experimental means. We note that in addition to the choice of heuristic thresholds, the choice of initial state can affect the network products identified via this method.