Turning AI possibility intoworking systems.

I help leaders decide how AI should change the way their organizations work—and stay close enough to implementation to make that change real.

Compare notes See selected work

Strategy should end in something people can use.

Current role: AI Integration Engineer
Gary Community Ventures
Working across: Strategy · Products · Adoption
Workflows · Agentic systems
Core question: How does possibility become dependable practice?

The practice

Strategy, close enough to implementation.

The hardest AI work lives between a compelling demo and a dependable way of working. That is the space I help organizations navigate.

01
Find the real leverage
I partner with leaders and teams to separate useful AI opportunities from novelty—clarifying the decision, the value, and what must change around the technology.
02
Design the whole change
A model is only one part of a working system. I connect workflow design, governance, evaluation, product thinking, and organizational adoption from the beginning.
03
Build capability into the work
I prototype close to the people doing the job, then turn what works into reusable workflows, shared practices, and systems teams can direct and improve.

Selected thinking & work

Evidence over adjectives.

01Current practice

AI integration at organizational scale

How I work across strategy, adoption, governance, education, and hands-on development at Gary Community Ventures.

Strategy
Adoption
Implementation

02Field note

From isolated prompts to working systems

A practical capability ladder for moving AI work from individual experimentation toward reliable, increasingly agentic practice.

Workflows
Agentic systems
Evaluation

03Operating foundation

Reliability is part of the product

What infrastructure, automation, and incident response taught me about building AI systems people can actually trust.

Systems
Reliability
Operations

About

I came to AI through systems—not hype.

My path runs through customer-facing work, web development, election operations, and site reliability engineering. Each chapter taught me the same thing: technology matters when it helps people make better decisions and do stronger work.

Today, I work across AI strategy, organizational adoption, education, venture design, and hands-on product development. I’m most useful when the direction is still taking shape and someone needs to connect the organizational question to a system that can be tested in the real world.

I also care about growing the field as a community. I teach practical AI skills, convene peer learning, and trade notes openly with other practitioners navigating an emerging discipline.