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.

A disciplined weekly product huddle keeps cross-functional teams aligned, surfaces blockers, and drives continuous improvement through data-driven discussion and operational cadence.

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.

What I learned orchestrating multiple AI agents across the product development lifecycle — from requirements brainstorming with ChatGPT to async coding with Codex to supervised edits with Claude — while building a production expense reporting app.

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.

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