Design and tune prompts, context pipelines, and agentic workflows for production AI systems.
// HOW IT WORKS
The same discipline, run consistently across Anthropic, OpenAI, self-hosted models, Microsoft Copilot Studio, and Azure AI Foundry.
An AI system is only as reliable as the context it is given. Prompt and context engineering is the discipline of making that context deliberate instead of accidental, so the model does the right thing for reasons you can actually explain.
Work spans prompt design, retrieval pipelines, and the guardrails that keep an agent inside its intended scope. Vendor agnostic by default, whether you are running on Anthropic, OpenAI, or a self hosted model, with the same rigor applied to Microsoft Copilot Studio and Azure AI Foundry deployments where that is the stack in play.
You get a system that is testable, not just impressive in a demo, with the failure modes mapped out before your customers find them for you.