1. I'd Rather Be Writing
2. AI
3. Use cases for AI

Use cases for AI

LLM-based AI tools, such as ChatGPT, Gemini, and Claude, can help you with documentation-related activities. You can use AI tools to both learn code and write code yourself. 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, 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 in impressive ways, leading to increased productivity.

Sections:

• Using AI in APIs: What works, what doesn't
• Use cases for AI: Develop build and publishing scripts
• Use cases for AI: Understand the meaning of code
• Use cases for AI: Distill needed updates from bug threads
• Use cases for AI: Summarize long content
• Use cases for AI: Synthesize insights from granular data
• Use cases for AI: Seek advice on grammar and style
• Use cases for AI: Arrange content into information type patterns
• Use cases for AI: Compare API responses to identify discrepancies
• Use cases for AI: Draft glossary definitions

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