Critical Thinking in the Age of AI: Verify, Question, and Decide Better
A practical, visual course for evaluating evidence, AI answers, statistics, sources, competing explanations, and decisions under uncertainty.
Think Clearly When Answers Arrive Faster Than Evidence
AI can produce an explanation, recommendation, calculation, source list, or polished argument in seconds. That speed is useful, but it can also make incomplete reasoning feel finished. The skill that matters is knowing what to trust, what to verify, what is missing, and what decision the evidence actually supports.
This course gives you a practical system for separating fact from assumption, challenging confident answers, evaluating sources and statistics, comparing competing explanations, and acting responsibly when uncertainty remains.
Separate the Parts
Distinguish observations, facts, inferences, assumptions, predictions, and value judgments.
Verify What Matters
Trace claims to evidence, evaluate sources, and check whether citations truly support the answer.
Read Numbers Honestly
Inspect baselines, denominators, averages, samples, uncertainty, graphs, and causal claims.
Decide Under Uncertainty
Match action to evidence, stakes, reversibility, downside, and the value of learning more.
Your finished outcome
A complete Decision File and vendor-evaluation memo, plus a personal verification ladder, decision journal, AI review prompt, and one-minute reasoning check.
Who this course is for: anyone who uses AI, evaluates workplace claims, makes business decisions, reads reports, reviews proposals, or needs to explain why a recommendation deserves confidence.
No specialist background is required. The examples use everyday workplace decisions and explain the reasoning step by step.
Skills You’ll Develop
The broader competencies and practical skills this guide is designed to build.
AI Literacy & Governance
- AI Output Verification
- AI Capability Evaluation
- Responsible & Secure AI Use
AI-Assisted Workflows
- AI-Assisted Decision Support
Professional Communication & Research
- Source-Grounded Research
- Professional Writing & Communication
Workplace Productivity & Organization
- Personal Workflow System Design
Guide Sections
Orient yourself to the course workflow, the recurring Decision File, and the practical outcome you will build as you learn.
Replace “being skeptical” with a repeatable method for understanding claims, evidence, uncertainty, and decisions.
Break persuasive language into parts that can be checked, challenged, or held with appropriate confidence.
Clarify terms, boundaries, comparisons, missing information, and the decision that the analysis must support.
Judge whether evidence is relevant, direct, sufficient, representative, current, and supported by trustworthy methods.
Use AI for productive analysis while verifying claims, citations, assumptions, calculations, and high-stakes conclusions.
Move beyond the first plausible story by generating alternatives, predictions, and tests that could distinguish them.
Inspect denominators, baselines, averages, risk, samples, selection, graphs, and the difference between meaningful and merely impressive numbers.
Notice predictable thinking patterns in yourself and teams, then use process changes that make better reasoning easier.
Turn incomplete evidence into proportional action using probabilities, ranges, reversibility, expected value, and stop rules.
Improve proposals, meetings, requirements, metrics, disagreements, and recommendations without making collaboration adversarial.
Slow down emotional reactions, trace media and claims to origin, and avoid amplifying material before verification.
Build a complete Decision File from a persuasive claim and turn it into a defensible pilot recommendation.
Turn the course into durable habits with a verification ladder, decision journal, reusable prompts, and review triggers.
Consolidate the complete reasoning workflow and use it on a real decision this week.
Purchase once and keep permanent access.
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