"As AI tools became more capable, I realized that generating these diagrams wasn’t so hard. AI tools are actually great at creating them, which reduces the effort around both authoring and maintenance. I now have quick reference diagrams for every one of the APIs I support. These QRGs don’t just provide documentation usability; they augment AI chat sessions in helpful ways, especially when you’re constrained by how many tokens you can add into your AI session context.

In this article, I’ll walk through the process of using AI to create a quick reference diagram. I’ll share my thought processes behind the approach, how AI tools are used, and other decision-making. I’ll also show how to provide instruction to an agent to build everything in a single instruction.

Overall, the QRG as a comprehensive tree diagram provides a number of benefits:

- Enhances API usability for developers. Developers love quick reference guides, and this gives them an easy way to Ctrl+F to find any element and go directly to it.

- Serves as a concise summary for AI. The QRG offers a compact representation of the API, useful for priming AI tools or navigating large documentation sets within token limits."

https://idratherbewriting.com/ai/prompt-eng-api-qrgs.html

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