AI behind the scenes

AI helps me work faster. You still get my full attention.

I use AI tools to research, draft, prototype, and document faster. The parts that make learning good stay with me: understanding your audience, deciding what people need to learn, shaping the experience, checking accuracy, and improving it after real learners try it.

A scientist and an educator examining water samples inside a research vessel lab on the Great Lakes — AI drafts and accelerates. Every decision is still made by a person.

Analysis

Understand faster, decide the same way.

AI-assisted

Research synthesis across scattered source material and prior program documentation.
Audience analysis drafts — likely prior knowledge, obstacles, and motivations to verify with real people.
Content review that surfaces gaps, contradictions, and unstated assumptions in SME material.

Stays human

Listening to your experts and your audience, and deciding what people actually need to learn. AI can summarize material; understanding it is my job.

Design

More options on the table, chosen by a designer.

AI-assisted

Brainstorming instructional approaches and alternate sequences to compare against each other.
Scenario creation — generating plausible situations and wrong answers, then hardening them against real practice.
Storyboarding drafts that make structure visible early enough to change cheaply.

Stays human

Objectives, assessment evidence, and alignment. If the objective and the evidence are wrong, an efficiently produced course simply arrives at the wrong destination faster.

Development

Build the prototype while the thinking is still warm.

AI-assisted

Working prototypes learners and stakeholders can click, instead of static specifications.
Content refinement for plain language, reading level, and consistent voice.
Accessibility checks on structure, alt text, contrast, and keyboard operability as a first pass.

Stays human

Instructional accuracy, tone with a specific audience, and the final accessibility judgment. Automated checks catch defects; usability is a judgment made against a specific audience.

Evaluation

Read the signal, then decide what changes.

AI-assisted

Feedback analysis across open-response comments to surface recurring themes.
Pattern detection in assessment data to locate where learners consistently break down.
Improvement recommendations as a first draft for the next iteration.

Stays human

Reading what learners actually experienced, and choosing which improvements will make the biggest difference.

Working rules

Four constraints applied to every AI-assisted project

Decisions stay with me

What to teach, how learners practice, how understanding is checked, and accessibility choices are mine. Those decisions are what make learning work.

Everything factual is verified

AI output is treated as a draft, never as a source. Any claim, figure, or citation is confirmed before it reaches a learner.

Data minimization by default

Confidential, proprietary, and personal information is never pasted into a tool that has not been approved for it.

Speed is spent on quality

Time saved on drafting goes back into listening, practice design, and revision — better learning, not just more content.

Designing learning for new tools and ideas

Two sample courses that help teams build confidence and responsible habits with new AI tools.

AI Workplace Essentials AI Productivity Toolkit