Documentation
Explore the architecture and engineering behind my cloud and AI projects—from the problems they address to the tools, data flows, and design decisions that make them work. These case studies and interactive walkthroughs show how I bring automation, security, validation, and human oversight together in practical solutions.
A detailed external report covering the website and shared research publishing solution, including architecture, Microsoft Foundry agents, data contracts, security controls, and operations.
External edition · October 20, 2026. A dated snapshot of a project that continues to evolve.
Read the technical case study →See how an autonomous pipeline keeps four research reports current using cloud news, earnings releases, and observed AI usage. One coordinator and four specialist AI agents work within a controlled process to plan research, inspect saved evidence, validate drafts, and revise unsupported findings.
Follow the animated data flow through Azure AI Foundry, GitHub Actions, private evidence storage, and two staging sites. Explore where budget controls, source checks, email and text notifications, and human approval protect the path to production.
Explore the agents and workflow →