The infrastructure is highly customizable, making it amenable for advanced users to implement new jobs and workflows. The Maker class in the jobflow library forms the backbone for constructing and managing these computational jobs. A key component, the BaseQCMaker, utilizes the QCInputGenerator to yield a QCInputSet from a given pymatgen molecule while supporting additional parameters for job execution, error-handling, and result documentation. Q-Chem calculators within atomate2 automatically archive inputs and outputs using a structured schema known as a Task Document, defined in the emmet.core.qc tasks TaskDoc class. This schema ensures standardized data processing by storing specific results (e.g., final energy) in predefined attributes (TaskDoc.output.final energy). The TaskDoc is easily serialized for integration into a results database(e.g. MongoDB) or storage as a local JSON file, ready for automated handling by tools such as the Builder classes in Emmet.