Portfolio – AI Prompts and Processes
I apply RAG (Retrieval-Augmented Generation) grounding principles — hierarchical structure, document chunking, metadata, and clear topic boundaries — so your content performs well in AI search, agent assist, and recommendation systems.
- AI Guidance – Preparing Content for AI: A Guide for Technical Writers
- AI Prompts – AI Prompts for Technical Writers
- AI Vision Statement – “Docs Engineer” Vision Statement
- Optimize for AI Agents – Migrate User Docs to Confluence
AI Guidance – Preparing Content for AI: A Guide for Technical Writers
I wrote this guide to advise my company on structuring product content so that it could be easily referenced by our new AI agents. I asked Google Gemini to write the first draft, and then I edited, fact-checked, and worked with developers to ensure its guidance enabled accurate responses from the agents.
AI is fantastic for first drafts and rote tasks, but “human in the loop” is more critical than ever to ensure quality over slop.
AI Prompts – AI Prompts for Technical Writers
My library of AI prompts for Gemini and Atlassian Rovo that saved me time and effort on core documentation tasks.
AI Vision Statement – “Docs Engineer” Vision Statement
A high-level vision statement for the “Docs Engineer”, where AI augments technical writers by taking on manual tasks through a back-and-forth, iterative process.
Optimize for AI Agents – Migrate User Docs to Confluence
A plan to optimize product content for AI agent grounding by moving legacy user documents from Google Docs/PDFs to Confluence.