The Course · Model Mentor’s Track 6 AI Module
AI Workforce Readiness
Model Mentor's AI-readiness curriculum applies the same cognitive-load discipline that underlies all of its programming: sound decisions depend on the structure of the environment they're made in. As AI reshapes the conditions of knowledge work, professionals face a new source of cognitive load — and the same method that governs decision-making under financial and transitional pressure governs decision-making alongside AI. The course teaches that method, drawn from The Two Literacies, as a workforce-continuity discipline.
This course exists for one reason: workforce continuity — keeping people employed and effective as AI reshapes their work.
For mid-career knowledge workers navigating the transition AI is forcing. This is workforce-continuity programming — the conditions under which your judgment, reliability, and standing hold while the conditions of the work change.
Six modules, in working order
The sequence is the method: the load model comes first, because every later move is a response to it.
The Load Problem at the Desk
The cognitive-load model: why AI-assisted work feels like a tax. Load, not skill gap.
SPEC — Structuring the Input Before You Generate
Externalizing intent as a load-reduction move: goal, context, constraints, format, verification.
CATCH — Recognizing Failure Before It Ships
Perceptual discipline calibrated to where AI failure clusters.
The Loop as Sustained Practice
Specify–Generate–Audit–Save across a real working week.
Where the Loop Breaks
Failure conditions, pauses, and the discipline of returning.
Compounding Across the Transition
Reliability and standing as workforce-continuity outcomes.
Who it’s for
The course teaches one discipline; these are the rooms it’s practiced in. Each track applies the same method — specify before you generate, audit before you ship — to the work that role actually does.
For Consultants & Advisors
Specifying a client deliverable before generating it, and auditing AI-drafted analysis against the source before it reaches the client. The skill is judgment that holds when the work carries your name.
For Analysts & Researchers
Stating the question and the verification step before generating, then catching the fabricated figure, the stale fact, and the confident omission before they enter a report.
For Operators & Managers
Delegating to an AI system the way you’d delegate to a person — a clear specification, then an audit gate before work ships across the team — so reliability scales instead of risk.
For Founders & Independent Professionals
Holding judgment as the one person accountable for everything, and running the Loop as a sustainable solo practice rather than improvised prompting under pressure.
Same six modules underneath — the tracks differ in the examples worked, not the discipline taught. Educational programming; a capability you build, not an outcome we promise.
Tiers
Foundation
$199
The six modules, self-paced, with the workbook’s spec and audit templates.
Professional
$499
The modules plus live cohort sessions — the Loop practiced on your real working week, with feedback.
Leading a team’s transition?
That is a different program. → The AI Transition Executive Program — twelve weeks, capped at twenty executives.
See the programOrganizational implementation is scoped separately — see For Organizations.
Where this sits in the work
This course is the AI-readiness extension of Track 6 — Workforce Transition, Model Mentor’s longest-standing programming lane. The same mechanism that governs employment continuity under financial and transitional load governs continuity under AI-era load. Read Track 6 →