Notes from the field
Writing on cloud, DevOps, security, and AI engineering, informed by what actually goes wrong in production.
AI red-teaming 101: stress-testing your Azure OpenAI app
Most teams ship an LLM feature, then think about misuse later. Here's a practical, low-effort red-teaming pass you can run before launch — and keep running after.
Microsoft Foundry agents vs. custom orchestration: how I choose
Foundry's agent framework removes a lot of plumbing — but not every AI feature needs an agent. Here's the decision framework I use before reaching for either.
Securing AI endpoints: PII, prompt injection, and output filtering
Three categories of attack on production LLM endpoints and the defensive patterns that actually work in practice.
Azure AI Foundry: my honest first impressions
I've been using Azure AI Foundry on real projects for several months. Here's what's good, what's frustrating, and where it fits in the AI tooling landscape.
Cost control patterns for Azure OpenAI in production
Token spend on LLM features can go non-linear quickly. Here are the patterns I use to keep Azure OpenAI bills predictable without compromising the experience.
Building a private RAG with Azure AI Search and Azure OpenAI
An end-to-end blueprint for a retrieval-augmented chat over your own documents — locked down behind Private Endpoints and identity, deployed entirely on Azure.
Azure OpenAI vs OpenAI direct: which to choose
Same models, very different operational stories. A practical comparison from someone who's shipped both.