I write documentation for AI and developer platforms. Lately I’ve also been building things: AI agents and frameworks that help content teams work better alongside AI.
Case studies
Case study · AI agent
👀 spot
An awareness agent I built in Copilot Studio that keeps me connected to product managers across four content areas. It drafts follow-ups and surfaces gaps, and it never sends anything on its own.
Case study · Framework
🎯 QuadCatcher
A framework for deciding where to invest in documentation when copilots and AI agents are reading it too, built on scoring every article for both human and agentic value.
Writing samples
A selection of my published documentation on Microsoft Learn, chosen to show range: security guidance, decision support, migration, overviews, quickstarts, and troubleshooting.
Security
🔐 Secure your Azure Translator data and deployment
Best-practice guidance for locking down a Translator deployment, from identity and network controls to encryption, monitoring, and compliance.
Decision guide
🧭 Choose the right Foundry Tool for document processing
Helps teams choose between Content Understanding and a build-your-own LLM approach, with a quick-reference guide and five real-world scenarios.
Migration
🚚 Migrate from Language Studio to Microsoft Foundry
Two step-by-step paths for moving Azure AI Language projects to Foundry ahead of Language Studio’s retirement.
Overview
💻 What is Foundry Local?
An introduction to on-device AI with Foundry Local: what it does, why you’d run models locally, and where to go next.
Quickstart
⚡ Asynchronous document translation
Walks developers through translating batches of documents with the REST API, from storage setup to checking results.
Troubleshooting
🛠️ Azure Document Intelligence known issues
Helps customers recognize known service issues and find workarounds before they open a support ticket.
