Verification, quality, overreliance
The cost of AI work is the cost of reviewing it. This module installs a lightweight verification routine that scales with risk: source checks, fact spot-checks, tone audits, and a clear human-review gate.
What you will learn
- Apply a three-tier verification routine by risk level.
- Spot four common overreliance patterns.
- Decide when AI output is shippable vs. needs another pass.
How you’ll learn this module
Built around evidence-informed learning methods. Designed to support retrieval practice, feedback, and spaced review.
Learn brieflyAttemptGet feedbackRetryReview laterApply in a workflow
Topics covered
Tiered reviewGlance, source-check, full audit.
Source disciplineWhen to trust a citation; when not to.
OverrelianceAnchoring, automation bias, confirmation drift.
Review checklistsPer-workflow, not per-tool.
Suggested learning sequence
01
Read
Three-tier model and overreliance. ~15 min.
02
Score
Score one of your own AI drafts. ~15 min.
03
Checklist
Build a review checklist for a workflow. ~20 min.
Practical exercises
- Build a one-page review checklist for one workflow on your team.
- Track reviewer edits on five AI drafts over a week.
Practice with the AI Tutor
Run this module on a real workflow
Bring one piece of work into the tutor. It turns this module’s topics into risk flags, a practice mission, an experiment, and an evidence record.
Open the AI Tutor for this module