Trevor Grant

Most AI projects fail because of a translation gap. An insurance underwriter knows that a specific spike in the Oceanic Niño Index correlates with a 35% increase in equipment failure for cargo vessels—but a traditional developer usually just hears: "I need a weather API for boats."

My career is dedicated to closing that gap. As the architect of Gofannon, an internal scoping and sketch tool we use in sprint calls, I build tools that help Subject Matter Experts (SMEs) encode their decades of intuition into clear product scope. We've replaced months-long "spec-and-build" cycles with 10-day sprints where the expert's intuition is the only specification that matters.

From my work at IBM and the AI Alliance to my role as an Apache Software Foundation Member, I focus on "validation through utility." Whether I'm acting as a workflow psychologist helping you reframe a problem or engineering the core engine to handle complex tool integrations, my goal is to get a functional v1 in your hands by the end of Day 1.