01 — Work
Selected AI & Digital Products
AI Call Triage & Lead Capture
CatchDesk
Identified the missed-call problem for contractors and developed a bilingual AI system that captures, prioritizes and routes incoming opportunities.
AI Search Visibility for Law Firms
Entity Level Authority
Developed a specialized diagnostic framework for understanding how law firms are interpreted and surfaced by AI-driven search and answer engines.
AI Visibility for Nonprofits
AI Search Checkup
Originally conceived around service visibility, then repositioned through market feedback toward fundraiser participation, donors and sponsor visibility.
AI-Assisted Claim Verification
FACT — FactCheckWeekly
Designed an evidence-first workflow for journalists that moves claims from submission through private verification, sourcing and editorial publication decisions.
Education Coaching Platform
Coaching Walkthroughs
Private application for school administrators to conduct classroom observations, identify instructional patterns, track teacher goals and support coaching.
Private applicationRapid Prototyping & Product Exploration
Selected Experiments
Firehouse Ready, Straight Up and other small applications built to test how quickly domain expertise and AI-assisted development can turn an idea into a functioning product.
Selected experiments
02 — Method
How I Build
- 01Problem
- 02Research
- 03Requirements
- 04Prototype
- 05Test
- 06Refine
- 07Position
- 08Launch
AI dramatically accelerates development. It doesn't replace product judgment. My approach combines domain experience, customer and market feedback, multiple AI models, rapid prototyping, and repeated testing to determine what should actually be built.
03 — Background
Three Decades of Search. Now Building With AI.
I've worked in search and SEO since the mid-1990s—back when discovery meant hand-built directories and a handful of competing search engines. I watched that landscape consolidate around Google, then reshape itself again as AI systems began answering questions directly instead of returning links.
That long view is now applied work, not nostalgia: understanding how AI systems interpret and surface organizations, shaping product strategy around real user problems, prototyping quickly to test assumptions, and helping businesses adopt AI in ways that hold up in practice.
Interested in the work—or the thinking behind it?
I'm glad to talk through AI adoption, product strategy, AI search visibility, business coaching and advisory work, or relevant opportunities.