To improve the performance of existing AI and ML models, LLMs that provide summaries, analysis, and recommendations based on bioproduction data and the latest findings from other researchers should be implemented as a new utility, reducing time and costs associated with updating drug production protocols with new findings. Biotechnology has implemented conversational AI to increase the speed of drug discovery and development , protein engineering , and gene expression data . The field of bioprocess engineering also warrants effective LLM implementations, as an increasing number of models have become more capable in handling challenging data science tasks from software manufacturers OpenAI and Claude featured in this study . The following three subsections represent LLM real-time search, LLM 10 paper summaries, and a LLM paper 11 review summary. The overviews serve as a point of reference for three segments of speed advantages obtained in this work vs. the manuscript author's best efforts shown in entirety with Supplementary SSA, S10, and SIR.