In this study, we have developed a prompt engineering solution to translate technical methodologies to stepwise procedures and machine-readable scripts in one dialogue. In the first prompt, GPT-4 demonstrates its proficiency in performing calculations, chemical phase lookup and generating steps with precise quantities in the procedure. With the XML template and mapping rules that associate solid, liquid dosing, heat and stir actions to the operation names in XML, GPT-4 can generate a complete XML script with reasonable accuracy and minimal human intervention. We demonstrated the execution of the XML script utilizing an EasyMax 102 workstation and confirmed the successful product formation using online HPLC and NMR. Overall, this approach streamlines the fundamental research necessity in reproducing literature methods with accessible hardware and services. While showcasing the possibility of using LLMs, there are still challenges in applying LLMs to more complex procedures or SDLs. To deal with less common or complicated reagents, Retrieval Augmented Generation (RAG) approach can be utilized, with an LLM such as ChemCrow, which can aid in increasing chemical accuracy and correctness. Finally, future work can also focus on developing a fully autonomous literature to product pipeline across various disciplines and SDLs configurations.