Thinker · Builder · Evaluator
Faith, craft, and machines —
someone has to hold all three.
I'm Brandon. I write about AI, faith, and craft — and the long arc of a life spent paying attention. I believe the most important questions about technology are not technical ones. I'm building toward that belief, one careful step at a time.
What I'm working on now
Learning
Python via CS50P. Building real things, not toy projects.
Building
AI evaluation portfolio. Red teaming case studies. This site.
Thinking about
What serious theological anthropology has to say to AI safety discourse.
The Journey
The Training Ground
A decade in the arena
Business school. Sales floors. Client relationships. Marketing strategy. Entrepreneurship. Technology — CRMs, project management systems, automation tools, the whole stack of modern business infrastructure. Then content production and video editing — where the skills got quieter and more precise. Pacing. Narrative. The judgment about what stays and what goes. Every role added something: tenacity, systems thinking, self-sufficiency, the ability to walk into ambiguity and build something out of it. The foundation wasn't built. It was gathered — sometimes gracefully, mostly not.
The Ceiling
The pattern that wouldn't stop repeating
It wasn't one bad job. It wasn't one bad industry. It was the same arrival point, every time — extraction dressed as opportunity, growth that served the number more than the work. The pivots kept coming because the fit kept failing. Not for lack of effort. For lack of calling. There's a difference. It took a while to learn it.
The Calling
This wasn't chosen off a list. It arrived.
It took getting still, and getting serious about faith, to hear what the work was supposed to be. AI arrived at the exact intersection of everything — philosophy, ethics, morality, technical craft, creativity, and the most consequential shift in human labor since the industrial revolution. This isn't innovation. It's transformation. And it didn't feel like a career move. It felt like recognition.
The Build
Answering a calling with actual work
Recognition without action is just feeling. So the work began — structured coursework, certifications, AI evaluation across multiple platforms, red teaming, failure mode documentation, Python. The slow and unglamorous construction of real technical fluency. Not performing a career change. Building one. Every project, every case study, every line of code is a brick. The wall is going up.
The Mission · You are here
Human oversight of AI isn't a job category
The most important questions about AI are not technical ones. The most dangerous assumption in this field is that humans can eventually step back from the loop — that the machine can be trusted to decide alone. But AI, however capable, cannot supply its own purpose. It can master the how. It cannot know the why. That belongs to us. Keeping humans in that loop isn't a limitation on what AI can become. It's the condition that makes AI becoming anything good at all. This isn't one person's responsibility. It's humanity's. And the work of this moment is helping people understand what's actually at stake — before the question gets answered for us.
Writing
Work
Case Study · AI Evaluation
In ProgressFailure Mode Documentation
Five documented failure patterns from real evaluation transcripts — false premise injection, cosmetic correction loops, attribution confabulation, and more.
Project · Development
In ProgressBible Tracker App
An AI-powered reading and reflection tool. Built in React with Anthropic API integration. Personal use case, real technical execution.