How I apply technology foresight — a structured scan-analyze-forecast-recommend-roadmap system — to move from weak signals to defensible product decisions in uncertain, fast-moving domains.

Added RAG-powered conversational search to my portfolio site, allowing visitors to ask questions instead of navigating pages — demonstrating how retrieval-augmented generation and edge inference reduce friction and accelerate understanding.

A production expense reporting app I'm building as an R&D testbed and "kata" for agentic development — using ChatGPT for requirements, Codex for async coding via voice, Gemini for architecture, and Claude in Copilot for supervised edits, with automated E2E testing and edge deployment.

In a fast-moving AI landscape, the hard choice is whether to build, buy, or wait. A real example using Gemini's Spreadsheet AI to summarize service club financials shows how leveraging platform AI can deliver better outcomes than building custom LLM solutions.

Built a multi-agent AI system for community paramedicine in a single 24-hour hooley day — aggregating CDA documents, NEMSIS records, PDFs, and imaging reports into unified clinical guidance using agentic workflows and RAG-style retrieval.

Building a context engineering layer—system instructions, guardrails, and grounding rules—that lets AI agents reliably author and consume product wiki documentation, closing the loop between structured knowledge and agentic coding.

Building a copilot-pattern AI assistant to embed product management discipline directly into feature specs, PRDs, and user stories — grounded in product wiki, strategy docs, and Azure DevOps via RAG.

How a critical performance issue was solved by rethinking the user interface, leveraging analytics, and aligning system behavior with user intent.

Presentation to the Fargo Full Stack Development User Group

Coordinated patent portfolio activities and produced technical IP and documentation, including a blockchain proof of concept.

Capstone presentation for the Master of Science in Management of Technology program at the University of Minnesota, exploring how data lakes can serve as a foundation for incremental innovation and research-aligned product development.

Supported web development and NEMSIS XML data submission vendor compliance work.