Diagnose
Find the starting point — confidence, role, goals, tools, and risks — before anything is scoped.
← All work
AI Foundations · Curriculum design
Teaching judgment before prompts.
A five-program AI-fluency curriculum for non-technical professionals, built from training I delivered on prior contracts and organized around one teaching architecture: the Fit-First AI Method.
Honest status The curriculum, teaching deck, and facilitator guide are complete. So far it has been delivered to individuals, with results I can point to through recommendations rather than measured enterprise outcomes. A first enterprise cohort is what it is waiting on.
The Fit-First AI Method
A durable structure, a human application.
The method stays consistent; the language, examples, pace, and risk boundaries are calibrated to the people in the room.
Teach
Give the core idea in plain language, with examples that make sense in the learner’s own work.
Apply
Practice on real tasks until the skill repeats without me in the room.
Five programs
One teaching architecture, scoped to the group.
AI Foundations for the Non-Technical Professional
What AI is, what it is good and bad at, and how to begin using it with judgment.
Prompt Fluency
Context, constraints, iteration, and evaluation — not copy-paste formulas that break when the task changes.
AI-Powered Knowledge Systems
SOPs, single-source-of-truth habits, and document lifecycle practices that make AI answers more trustworthy.
Responsible AI: Privacy, Security & Safe Use
Clear habits for what not to paste, when to anonymize, and how to review AI output.
AI-Enabled Workflows
Intake, reporting, status updates, and follow-up — where AI can save time under human review.
Where it came from
On prior contracts I repeatedly ended up as the informal AI resource — helping non-technical colleagues evaluate tools, validate output, and build safer habits. AI Foundations turns that ad-hoc coaching into a structured, assessment-led curriculum built around the work people actually do.
What's in the package
A diagnostic intake, the foundations curriculum, a plain-language model overview, and an application lab where each learner practices on their own real task. Delivered as a session, a workshop, or a short series.
Instructional designAI enablementAssessment-ledNon-technical audiences
Start with what's stuck