Use cases and Limitations of GenAI in Technical Writing with Rene Santana, Box
In our recent episode on the Knowledgebase Ninjas Podcast, Rene Santana, Technical Writer at Box, discusses various use cases of Generative AI (GenAI) in technical writing and how it has influenced the way documentation is created.
𝐊𝐞𝐲 𝐓𝐚𝐤𝐞𝐚𝐰𝐚𝐲
👉 “A few years back I read about Notion’s AI capabilities and was really amazed by the results it produced. Later, a company like OpenAI made it something bigger and accessible to everyone. Initially, technical writing applications were scarce, but now there is a whole lot. Especially in API documentation, I was able to generate not just code but also documentation”, says Rene.
👉 Rene mentioned that Summarization and content generation have been two key players that have influenced the space of technical writing. ChatGPT and Anthropic Claude can be used to summarize content and preview documents.
👉 "AI works almost like a personal assistant, helping to review and revise the content and understand it better," adds Rene.
👉 In order to ensure that AI-generated content aligns with their documentation style, Rene emphasizes that technical writers should follow a style guide and make sure the output matches what they are trying to communicate.
👉 “AI adds its own flair and ideas when too much free rein is given. When prompting or asking a question to AI, it is important to stay focused on the text you are working on,” adds Rene.
👉 Rene highlights that the biggest concern for technical writers is relying too much on AI-generated content without proper review, they must thoroughly fact-check and review AI-generated content to minimize hallucinations (factually incorrect outputs).
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