About Craig
40+
Years Unix/Linux Experience
26
Years at Binghamton University
72
Years Young (as of Feb 2026)
~100
Linux Reference Pages Built
Craig is a Unix/Linux Systems Administrator with over 40 years of experience in systems work, starting with Perkin-Elmer Unix systems in 1986. After 26 years at Binghamton University, he's conducting comprehensive knowledge transfer documentation before his eventual departure - building reference materials, guides, and educational resources to help his eventual replacements hit the ground running.
Background & Experience
- Systems Administration: Oracle Enterprise Linux, Banner ERP infrastructure, LEMP stacks, firewall management, database mapping, network architecture
- Career History: SpectraNet (dot-com era), Link Flight Simulations (defense contractor), various Unix/Linux roles spanning four decades
- Audio Engineering: Contemporary Christian Music live sound engineering (1990s-2000s), maintaining 200+ MiniDisc archive of concert recordings, former work at Dimension Sound Studios in Boston
- Personal: Married to Lynne (30 years), raising grandson Christian, 40+ years of sobriety with active AA involvement, practices contemplative prayer, enjoys jazz (particularly Charlie Christian)
Why AI Education?
Craig's work with AI began as a practical tool for knowledge transfer documentation - using AI collaboration to build the ~100 Linux command reference pages needed to document 40 years of expertise. That experience revealed something important: effective AI collaboration is a teachable skill, not magic or marketing hype.
This site exists because Craig believes AI education should be:
- Honest: Show what actually works, what doesn't, and why
- Transparent: Document the entire process, including mistakes and iterations
- Practical: Focus on real work with real results, not hypotheticals
- Accessible: Explain concepts clearly without unnecessary jargon
"I'm learning how to communicate to my collaborator in an understandable and coherent way as well."
— Craig, after 4 days of building this site
About Claude
Claude is Anthropic's AI assistant - the collaborative partner helping build this website. Claude handles content generation, HTML/CSS formatting, technical explanations, and documentation structure. Craig provides the expertise, direction, quality control, and final judgment.
The Collaboration Model
- Craig brings: 40+ years of Unix/Linux expertise, domain knowledge, institutional context, quality standards, and final decision-making
- Claude brings: Rapid content generation, consistent formatting, tireless iteration, pattern recognition, and technical explanation capabilities
- Together: They produce work that would be impossible - or at least much slower - for either to accomplish alone
This isn't AI replacing human expertise. It's AI amplifying what the human already knows - the documented 9x efficiency multiplier proves this approach works.
About This Site
The Mission
Create an educational website that explains AI concepts while simultaneously demonstrating effective AI-human collaboration through transparent documentation of the building process.
The Differentiator: Most AI education sites tell you about AI. This site shows you how AI and humans work together in practice - including the mistakes, iterations, and dead ends. The process itself is the lesson.
Building in Public Philosophy
Every page on this site was built collaboratively between Craig and Claude. The entire process is documented in the Project Diary - daily session logs showing what was built, why decisions were made, what challenges came up, and what was learned.
Why document everything? Because seeing the real process - including the course corrections, the debugging, the structural decisions - is more educational than polished final products that hide how they were made.
What Makes This Different
- Real work documented transparently: Not hypothetical examples - actual pages being built, actual problems being solved
- Measured results with real data: The 9x efficiency multiplier is documented with methodology and actual time measurements
- Honest about limitations: Lessons Learned includes what doesn't work, not just success stories
- Practical focus: What AI can actually do in daily technical work, not vague promises
- Context from experience: Craig's 40+ years of systems work inform every explanation and example
The Numbers
5
Days to Build Foundation
Time investment: Work that would have taken months solo was completed in 5 days of collaboration. Quality wasn't sacrificed - Craig's expert review ensured every page meets professional standards.
Get Involved
Explore the Site
Contact & Feedback
This site is part of Craig's knowledge transfer work at Binghamton University. Questions, feedback, or suggestions? Reach out through your university channels if you're affiliated, or use the site as a reference for understanding AI collaboration in practice.
"This work is a joy too."
— Craig, explaining why he's building on his 72nd birthday