AI enablement, knowledge architecture, and technical judgment

I help organizations redesign technical knowledge for AI.

I work with organizations to redesign documentation systems, knowledge architectures, and AI-ready information. This site develops the conceptual models and diagnostic tools that explain the changes AI is forcing organizations to navigate.

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What brought you here?

I am exploring the ideas

Begin with a problem you recognize, then follow it into the writing and conceptual models that explain what is happening.

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I am diagnosing an organizational problem

Use the diagnostic tools to examine judgment, expertise, validation, and hidden dependencies inside an existing system.

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I am evaluating Grace's work

Review the experience, technical practice, and research background that ground this body of work.

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Why this work exists

AI is making assumptions visible that organizations could previously leave implicit.

Technical systems have always depended on human interpretation, expert judgment, and contextual knowledge. As AI begins producing, retrieving, evaluating, and acting on technical information, those hidden dependencies become operational problems.

My work examines where those problems emerge, what mechanisms produce them, and what organizations need to diagnose before they can respond effectively.

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Three ways into the same problem space

The writing identifies emerging patterns. The conceptual models explain why they occur. The diagnostic tools help organizations examine how those patterns are operating inside their own systems.

Writing

Essays that identify changes in expertise, trust, technical communication, and AI-assisted work.

Why did better AI increase dependence on experts?
Why can accurate documentation still fail?
Why does plausible output change evaluation?

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Conceptual Models

Reusable models that explain recurring mechanisms across documentation, AI adoption, governance, and organizational design.

Expertise Relocation
Coherence vs Correctness
Machine-Consumed Infrastructure

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Diagnostic Tools

Practical diagnostics for organizations examining where judgment, expertise, validation, and responsibility currently live.

Locate where judgment is actually being performed
Expose hidden dependencies and unsupported assumptions
Identify where deeper investigation is needed

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Grounded in research and practice

The ideas come from building the systems they examine.

This work combines more than a decade designing technical knowledge systems with formal research into cognition, learning, and the development of intelligence.

Documentation leadership

Built and led documentation functions supporting complex developer products, infrastructure, and APIs.

Knowledge architecture

Designed information architectures, developer portals, and documentation systems around how different audiences understand and use technical products.

AI-ready systems

Redesigned technical knowledge for machine retrieval and AI-assisted use, including improving an independent AI-readiness assessment from 65% to 92%.

Cognition research

Earned a PhD in Comparative and Developmental Cognition studying how intelligence develops, generalizes, and becomes visible through behavior.

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Featured work

Start with one idea

Conceptual Model