Published Writing

AI Literacy

Beyond the Badge: Why AI Fluency Needs a Scaffold, Not Just a Score

Introducing AIDED-T — a six-dimension developmental framework for understanding how humans actually grow with AI. Why credential scores miss the point, and what a learning scaffold looks like instead.

AI Collaboration

How I Built a Learning Framework with AI — and What That Process Taught Me About Both

A behind-the-scenes account of human-AI intellectual collaboration. What productive prompting actually looks like, and why the process became the lesson.

Neurodiversity & Work

Your Neurodivergent Colleague Isn't Ignoring the Rules. They Just Can't Find Them.

How the AI concept of context engineering illuminates why neurodivergent people struggle in environments built on implicit knowledge — and what management can learn from it.

ADHD & Productivity

The AI Handoff Problem: Why AI Makes ADHD Burnout Worse Before It Makes It Better

Everyone's selling the dream. For ADHD brains, handing your low-energy work to AI creates a world where the only tasks left are the ones you can't do in a trough. Here's the fix.

AI Design Series · Part II

The Intelligence of Working Together: Why AI Built on Competition Alone Is Getting the Science Wrong

Drawing on evolutionary biology, Kropotkin, Tomasello, Ostrom, and Haraway — a rigorous argument that cooperative AI is not just ethically preferable, but empirically better designed.

Deep Research & Reports

Evidence Reviews, Frameworks & Academic Reports

Five substantial research documents produced through sustained human-AI collaboration — covering ADHD coaching evidence, AI ideology, context engineering, neurodiversity terminology, and discourse methodology.

5 Research Reports
4 Document Types
2026 Published
View All Research → 5 reports · Evidence reviews · Frameworks
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