Use cases for AI
LLM-based AI tools, such as ChatGPT, Bard, and Claude, can help you with various documentation-related tasks. Pattern-based content prompts can help arrange content in expected documentation formats. You can use AI tools to both learn code and write code yourself–the latter comes in handy when you need to create build and publishing scripts. You can use AI tools to get language advice, to identify answers when fixing bugs, to analyze large sets of information from threads, comments, and feedback, to compare API responses with schemas, to create glossaries, and more. Using AI tools requires you to provide a lot of direction, review, and guidance, so don’t expect too much from them. Still, they can perform some of the documentation work, leading to increased productivity.
About Tom Johnson
I'm an API technical writer based in the Seattle area. On this blog, I write about topics related to technical writing and communication — such as software documentation, API documentation, AI, information architecture, content strategy, writing processes, plain language, tech comm careers, and more. Check out my API documentation course if you're looking for more info about documenting APIs. Or see my posts on AI and AI course section for more on the latest in AI and tech comm.
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