Next, the second stage audits these TS configurations to ensure that the TSs obtained in Stage 1 correspond to the correct elementary steps. Automation of this step is key as manually evaluating the set of transition states for each reaction is extremely tedious. Finally, Stage 3 refines the audited TSs (from Stage 2) with DFT. Taken together, this curriculum provides DFT-quality reaction barriers at a fraction of the computational cost required for Pynta/DFT studies, yet preserves the advantages of the comprehensive search aiming to find the lowest energy adsorbate and TS structures. Note that the results from Stage 3 are automatically converted within Pynta into thermochemistry and kinetic parameters using the approach developed by Blöndal et al. and can be used to generate databases for inclusion into RMG for microkinetic modeling and further network expansion.