Chaining is highly dependent on the quality of each sequential output, so Zhang, D., et al. utilized 18 vision language benchmarks across 126 Multimodal Large Language Models to help track generations . In 2024 Lin, D., et al. created Jigsaw, which incorporated Large Language Foundation Models with other multimodal components to allow for the integration of text and image based outputs. Their block editor interface design supports additional modalities over at least 6 other competing tools . The application of chaining outputs in this study is shown in Figure Section 3, with textual descriptions from spectra being utilized with prompt execution.