Resources

Everything you need, organized by where you are in your AI journey.

Getting Started

Curious about AI but not sure where to begin — or tried a few things and feeling stuck.

AI Readiness Self-Assessment

A 15-question diagnostic to understand where you are in your AI journey — and what to do next.

Getting Unstuck: Context Readiness

Why most research offices struggle to get started with AI, and what to do about it.

Curated Learning Resources

Podcasts, books, substacks, and courses I recommend for building real AI fluency.

Building With AI

You're using AI regularly and ready to build real tools and workflows.

The Three Buckets

How I think about AI tools: Assistants, Builders, and Visualizers. A simple mental model for getting started.

The 3D Framework

Define, Develop, Deploy: a practical method for building AI workflows in higher ed.

Virtual Study Section

AI reviewer personas to stress-test your proposals before submission.

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Meeting Facilitation Agent

A decision-matrix template for building a meeting facilitation agent with persistent institutional memory.

Leveling Up

You want to work at a higher level — more autonomous, more strategic, more effective.

The AI Fluency Stack

Four disciplines and five building blocks that take you from chatting with AI to delegating complex, autonomous work.

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Skills: A Primer

What skills are, why they work, and when to build one. The markdown-file pattern that's replacing custom GPTs for serious AI work.

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My Current AI Workflow

A 10-step workflow for working fluently across web chat, Cowork, and Claude Code. A snapshot of current practice.

Going Deeper

Understanding the technology and exploring Aimee's public work.

Understanding LLMs

A visual guide to how large language models actually work. No technical background required.

Talks & Presentations

Presentations I've given on AI workflows, literacy, and practical adoption in research administration.

Collaborations

Work by colleagues that informs RD practice.

The University Map

An expansive dataset analysis on the future of higher education by Kyle Saunders. Highly informative for RD professionals assessing the university landscape.

Atomic Insight with Raphael Bernier

An interview with Atom Grants on building internal GPTs, automating grant components, and redesigning how proposals get assembled at CSU.

These frameworks are based on my experience as a 21-year research administrator at CSU who learned AI by doing.