These recommendations aim to address key challenges and capitalize on recent breakthroughs in paclitaxel biosynthesis research, potentially leading to more efficient and sustainable production methods for this important anticancer drug. Prompts C1 and C2 listed in Table were designed to gain emerging and historical perspectives of new paclitaxel biosynthetic research areas, and provide insight into challenges facing the industry by C3 and C4). A total of 9 models were utilized to determine the range of times that models experienced high scores. ChatGPT-4o, 3.5 Sonnet, and Wiz8x22B were the highest quality models with average generation times of 39.6s, 11.5s, and 33.5s respectively. Notable performance differences were seen between Wiz8x22B (9.2) which is a fine-tuned version of Mix8x22B, and Mix8x22B (8.5). In addition, L3.1-405B often struggled to cite authors' names, but had better performance than smaller 8B and 70B versions of the same software manufacturer. "Combinatorial complexity arises in paclitaxel biosynthesis due to the numerous possible interactions between enzymes, substrates, and regulatory elements, where each combination of these factors can lead to different biochemical outcomes, making it challenging to predict and optimize the pathway for efficient production." ChatGPT-4o 18Sep24 .