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Creative

I Build Human-Centered AI Products

AI Product Management & Applied AI Research | Multi-Agent Systems | MS Candidate, Human Centered Computing

AI-powered Products that optimize for model capability over human intent tend to fail. I'm focused on closing that gap through product, research, and educating others.

Scope I led at Werner Enterprises, 2021 to 2026

  • sevenproduct and UX leads, each owning strategy for their own teams
  • 13agile teams that product direction covered
  • 150engineers in those teams, roughly

About Me

I'm a Sr. AI Platform Product Manager and an MS candidate in Human Centered Computing at the University of Nebraska Omaha. My thesis measures AI-driven adaptive scaffolding against a fixed faded schedule of worked examples, and what each does to cognitive load and skill acquisition; the protocol, the instruments, and the multi-agent scaffolding system are built and awaiting IRB approval. I build systems to solve problems and gaps that I see in the world: Ember, SpawnForge, Frets, Player2 Kanban... Ember runs on an OWA (Orchestrator-Worker-Antagonist) architecture: a worker agent produces, an antagonist agent adversarially evaluates the output for authenticity and accuracy and sends it back until it passes, and an orchestrator makes the final call, with each role on the model that suits it. SpawnForge is an AI-native game engine in the browser whose 350 MCP commands sit behind a single command surface, so a person and an AI agent drive the editor through the same code path. I've helped onboard 300+ developers, product managers, and IT staff to AI coding tools, worked with technology leads across 20+ product engineering teams company-wide to shape AI-enablement strategy, and guest lectured at UNO on IoT, cloud infrastructure, and AI adoption.

That work rests on 12+ years at Werner Enterprises, where I progressed through 11 different roles from operations to Sr. Product Manager. In that last role I owned product direction for 13 agile teams and roughly 150 engineers, through a product and UX team of seven who each owned strategy for their own teams. Drive Werner Pro serves 10,000+ drivers daily for scheduling and compensation management. I led the migration of legacy electronic logging devices (ELDs) across 8,000+ tractors to a cloud-integrated Platform Science system, replacing aging infrastructure. I developed a maintenance appointment system that generates $5M+ annual savings by optimizing fleet routing and asset utilization, and Maintenance Connect, a mobile inspection application, eliminated 60,000 sheets of paper annually across technician workflows. My team built the first fleet with direct integrations to all major Class 8 OEMs in the US, and I led technology partnerships with frontier AI and autonomous vehicle companies (Google, Kodiak, Aurora) to shape their product roadmaps and secure exclusive early access to emerging integrations.

I've lived the problems I solve, such as isolated systems, missing context, and speed-bumps to throughput, and I develop leaders: my team members have gone on to take roles like AI Product Manager and Executive Director of Technology, winning awards and earning their own credibility along the way.

Key Achievements

AI Systems & Research

  • Four systems built: Frets and Player2 Kanban are publicly usable, Ember is in private alpha, SpawnForge is in active development
  • 350 MCP commands behind a single command surface in SpawnForge, so a person and an AI agent drive the editor through the same code path
  • 73 visual scripting node types in SpawnForge that compile to TypeScript
  • 30+ MCP integrations give Ember's agents real-time context from research databases, financial APIs, and web search
  • An OWA architecture (Orchestrator, Worker, Antagonist) running three model families in one decision loop, which I designed and built
  • MS thesis instrument built and awaiting IRB approval: protocol, measures, and the adaptive scaffolding system
  • Player2 Kanban published on npm, with an MCP server that AI coding agents connect to directly
  • Frets runs live on this site on an open TypeScript theory engine, fully client-side
  • Helped to onboard 300+ developers, product managers, and IT staff to AI-powered productivity & coding tools
  • Shaped AI-enablement strategy with technology leads across 20+ product engineering teams

Enterprise Delivery Record at Scale (Werner Enterprises)

  • Directed products processing 20M+ daily events in a 24/7/365 operation
  • Shipped Drive Werner Pro to 10,000+ drivers for scheduling, compensation, and career management
  • Shipped Maintenance Connect to technicians, eliminating 60,000 sheets of paper annually
  • Shipped Breakdown Management System (evolved into Event Resolution System) handling 250,000+ maintenance events annually
  • Developed a maintenance appointment system that optimizes fleet routing and asset utilization
  • Led ELD migration across 8,000+ tractors from legacy systems to cloud-integrated Platform Science
  • First fleet with direct, bidirectional integrations to all major Class 8 OEM maintenance systems in the US
  • Direct partnerships with frontier AI and autonomous vehicle companies (Google, Kodiak, Aurora) to shape product roadmaps
  • Reduced driver dwell time by 60%+ through workflow optimization
  • Reduced employee training time from 3 weeks to 3 days through improved design and processes
  • Financial impact: $5M+ a year saved through appointment-based maintenance, $1M+ a year in warranty filings that previously went unclaimed, millions more a year from retiring AS400 onto cloud, and fleet maintenance turned from a cost center into a revenue generator through managed services for external carriers
  • Led a product and UX team of seven, each owning strategy for their own teams, covering 13 agile teams and roughly 150 engineers
  • Team members have gone on to roles like AI Product Manager and Executive Director of Technology
  • Developed Product Management interns alongside the permanent product and UX leads

Research: Human-Centered AI Systems

My research explores how to synthesize human cognitive needs with model capability, improving the outcomes achieved when we collaborate with Artificial Intelligence. I study the intersection of cognitive load theory and adaptive learning interfaces, focusing on how we can build AI systems that enhance human capability without creating dependence.

Current Thesis

The Effects of AI-Driven Adaptive Scaffolding vs. Static Worked Examples on Cognitive Load and Skill Acquisition

Research Interests

Cognitive Load in Human-AI Systems
Adaptive Learning Interfaces
Trust & Calibration in AI

Currently Exploring

  • Multi-agent architectures for quality control and authenticity (Ember)
  • Cognitive load in human-AI systems
  • Adversarial model evaluation to prevent bias and hallucination (how I evaluate model output)
  • Adaptive learning interfaces for AI assistance
  • Autonomous vehicle integration strategies
  • AI at scale in regulated industries

Press & Recognition

View All

Featured in industry publications and recognized for AI & transportation leadership.

Creative

Checking Spotify...

Music

More than Blood

Bass

I played bass in this band. We put out a few recordings that are still on Spotify - a fun reminder of my creative side outside of product management.

Nevermind the Riot

Lead Vocals

I was the lead vocalist for this project. These recordings go back a bit further but still capture some memorable moments from that era.

Lesser Evil

Vocals & Guitar

My first band. These are live recordings from way back when - raw energy and the excitement of performing for the first time.

Tony Gebhard

Featured Vocals

A collaboration with Tony, a talented solo artist who traveled from Ohio to Omaha for the More than Blood CD release party on his way to Alaska.

BBQ

BBQ_Reveal

YouTube Channel

I cook on three Big Green Eggs, making everything from brisket to octopus. I enjoy trying new recipes and tweaking old favorites, then sharing great food with family, friends, and neighbors. This channel is fairly casual - a good friend and former colleague helps me manage it.

Watch on YouTube

Let's Connect & Exchange Ideas

Topics I'm always exploring:

  • Multi-agent AI architectures for quality, authenticity, and real-world application
  • Human-centered AI systems (research + product + implementation)
  • Fleet technology & IoT at scale
  • Teaching & mentoring the next generation of product leaders
  • Adjacent domains (creative work, emerging tech, cross-functional problem-solving)

I'm constantly learning and engaging others to share knowledge. I am interested in intelligent conversations around emerging technology, product strategy, autonomous systems, and agentic workflows that respect human intent. Whether you are working on frontier AI, self-driving technology, robotics, or just want to share ideas, I'm here for it.

Get in Touch