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 Evaluate & Build
- 01Evaluate
- 02Problem
- 03Research
- 04Validate
- 05Requirements
- 06Prototype
- 07Test
- 08Refine
- 09Position
- 10Launch
AI dramatically accelerates development. It doesn’t make every idea worth building. I first evaluate the business opportunity—market evidence, customer access, founder advantage, cost to test, scalability, and economics—then look for the fastest practical way to validate the key assumptions. Only after the evidence is strong enough do I move into requirements, prototyping, testing, refinement and launch.
The goal isn’t to prove an idea is good. It’s to find out quickly and inexpensively whether it deserves more investment.
03 — Background
Three Decades of Search. Now Building With AI.
I've worked in search and SEO since the mid-1990s—watching discovery evolve from early search engines to Google and now to AI systems that increasingly answer questions directly.
That experience now informs my AI consulting work. I served as CEO of Web Ignite with direct P&L responsibility; at Overstock.com, I led two SEO development teams and one international development team—approximately 15 developers/programmers and 3 QA professionals—while coordinating technical priorities with the CTO and NOC organization. From 2021–2026, I generated more than $1M in consultative revenue at Jury Analyst. Today I apply that combination of business, technical, and client-facing experience to AI adoption, product design, workflow strategy, and SEO/GEO/AI search.
I also volunteer with SCORE, helping small-business owners and entrepreneurs with business strategy, digital growth, AI adoption, and practical problem-solving.
Interested in the work—or the thinking behind it?
I take on independent consulting, fractional advisory, and contract engagements involving AI strategy and adoption, product design and rapid prototyping, workflow improvement, and SEO/GEO/AI search. If you're working through a business problem where AI or search may play a role, I'd be glad to talk it through.