Instruction tuning enhances language models’ (LMs) performance by refining them with specific guidelines. This paper explores the application of instruction tuning in generating and editing Internet Drafts (I-Ds), the preliminary versions of Request for Comments (RFCs). The process involves training models with detailed instructions based on earlier drafts and feedback from Working Groups (WGs) to improve the text. This approach enables the generation of drafts that adhere to established Internet Engineering Task Force (IETF) standards, significantly reducing the need for extensive manual revisions that can span years. This work marks a promising start for the future development of network protocols. By combining instruction tuning models with human expertise, we are moving towards more efficient and accurate technical documentation.