3.5 Sonnet Excerpt Paper 03: "1. Productivity Improvement: -The approach successfully identified the cause of productivity decline and implemented solutions that increased mAb productivity by approximately 8.5%, as evidenced by the quote: "The difference in mAb productivity between Cluster 1 and Cluster 2 was 0.089, which represented a loss of 8.48%."" 298 words, Total time: ChatGPT-4o Excerpt Paper 06: "The article provides detailed numerical data illustrating the metabolic shifts managed by this glucose control approach. For instance, specific glucose consumption rates varied across cultivation phases, with CHL-YN cells in phase I (1-3.5 days) consuming 3.21 ± 0.14 pmol cell -1 day -1 in one run, which then stabilized to lower consumption rates as the cell culture entered later phases, indicating a reduced metabolic burden ." 328 words, Total time: Author Excerpt Paper 07: "Liang, G., et al. developed a soft-sensor model for CHO growth and production as reported in October 2024 . A concentration was placed on extracellular, nucleotide sugar donors (NSD) and glycan profiles metabolites with a "Mechanistic based on first principle Michaelis-Menten kinetics(MMK), data-driven orthogonal partial least square (OPLS) and neural network machine learning (NN)."" The following generations contain excerpts from the Paper 11 Review used in the study as a guide for subsequent parts of the paper, with results shown in Table . Papers 1-11 were used as a basis for the rests of the work, building off of the author's previous methods . LLM real-time search and especially computer use methods were not detailed enough to use in subsequent parts of the paper.