Abstract warm-toned paper textures suggesting knowledge and intellectual depth

The Foundation Layer

Thinking

Books, courses, and essays that explore the tension between learning theory and practice. Each piece is positioned as evolving thought — not a finished product.

Books

Published and in-progress. Evolving ideas, not finished products.

The Architecture of Understanding
Published2024

The Architecture of Understanding

How Learning Actually Works — And Where It Breaks

A framework for designing learning experiences that account for the messy reality of human cognition. Not a how-to manual, but a way of seeing — how structure, sequence, and reflection shape what people actually retain.

After the Course
In Progress2026

After the Course

Rethinking Instructional Design in the Age of AI

The traditional course model assumes a linear path from ignorance to competence. AI reveals this assumption to be fragile. This book explores what comes next — not AI replacing designers, but designers understanding their own craft more clearly.

Systems of Learning
Published2022

Systems of Learning

Designing for Complexity, Not Content

An exploration of how organizations actually learn — and why most training programs fail to change behavior. Built from fifteen years of enterprise work, this book reframes instructional design as systems thinking in practice.

Courses

Structured, minimal, and thoughtful. Each built around a central tension or question.

Designing Learning Systems
Intermediate

6 weeks · Self-paced

Designing Learning Systems

The central tension: everyone wants learning. No one agrees what it means.

Course Structure

  • Reframing: Why content is not the answer
  • The anatomy of a learning system
  • Building for retention, not completion
  • Reflection: What do you already know?
AI and the Instructional Designer
Advanced

4 weeks · Cohort-based

AI and the Instructional Designer

Reframe: AI does not replace craft. It exposes what craft actually is.

Course Structure

  • The automation anxiety — and why it is misplaced
  • Where AI helps: structure, sequence, feedback
  • Where AI breaks: judgment, context, taste
  • Reflection: What is your irreplaceable skill?
The Reflective Practitioner
Intermediate

8 weeks · Self-paced

The Reflective Practitioner

Central question: are you building learning, or building the illusion of learning?

Course Structure

  • The gap between design intent and learner experience
  • Feedback loops that actually work
  • Designing for behavioral change, not satisfaction
  • Reflection: What are you optimizing for?

Essays

A space for ongoing thinking. Connecting ideas across AI, learning, identity, and systems.

Learning Measurement

March 2026

On the Illusion of Completion

Most learning platforms measure completion rates as if finishing a module meant learning happened. But completion is not comprehension. And comprehension is not application. The metrics we celebrate often measure the wrong thing entirely.

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AI & Design

January 2026

Why AI Needs Instructional Design More Than Instructional Design Needs AI

Every AI model trained on educational content inherits the biases of that content — the hidden assumptions about how people learn, what they need, and what success looks like. Instructional designers hold the antidote: the ability to see the structure beneath the surface.

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Design Philosophy

November 2025

The Problem with Best Practices

Best practices are comfortable. They let us stop thinking. But every organization is a unique system with unique constraints, culture, and history. The real skill is not applying frameworks — it is knowing when to break them.

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Learning Science

September 2025

Building for Retention, Not Engagement

Engagement metrics are seductive. High click-through rates, time-on-page, video completion — these feel like evidence of learning. But retention research tells a different story. What we remember is shaped by structure, surprise, and struggle, not polish.

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Agentic AI

July 2025

Agentic Learning: What Comes After Courses

The course is a container. It assumes a beginning, middle, and end. But real learning is not contained — it is triggered, reinforced, applied, and revised across contexts. Agentic systems are not the next course format. They are the next architecture entirely.

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The Work Continues

These ideas are evolving.
So is the system that builds them.