Verify AI-Generated Research Before You Publish
Systematically verify AI-generated content using professional methodology — and produce a defensible verification report.
Before
“I hope this AI output is correct.”
After
“I have systematically verified this output, scored my confidence at 82%, and can defend every claim.”
What you will be able to do
8 observable, measurable professional capabilities — not vague “understand AI.”
- Extract and classify every factual claim from AI-generated content
- Identify suspicious claims matching 6 AI fabrication categories
- Verify claims against evidence using source hierarchy assessment
- Calculate a weighted confidence score using 6 dimensions
- Conduct adversarial review and citation trap scanning
- Produce a professional verification report with clear recommendation
- Apply appropriate verification depth based on risk tolerance
- Explain the process to stakeholders and demonstrate methodology
Curriculum
Welcome + Course Setup
Why AI Output Verification Matters
Exercise: Identify fabrication categories in sample text
Claim Extraction and Classification
Exercise: Extract and classify claims from AI-generated summary
Fabrication Detection
Exercise: Detect 4 planted fabrications in realistic content
Source Verification and Hierarchy
Exercise: Assess 6 sources using hierarchy + AI-assisted practice
Confidence Scoring
Exercise: Score a document ("without AI" assessment)
Adversarial Review and Red-Teaming
Exercise: Conduct adversarial review of case study
Producing the Verification Report
Exercise: Write verification summary with recommendation
CAPSTONE — Verify a Real Document
Capstone: Full verification report from your own work
Professional Application + Next Steps
What’s included
Who this is for
- Consultants delivering AI-assisted research to clients
- Content teams publishing AI-generated articles or reports
- Analysts using AI for internal or client-facing deliverables
- Researchers using AI for literature reviews or data synthesis
- Anyone whose professional reputation depends on AI output accuracy
Prerequisites
- Basic AI usage — can interact with ChatGPT, Claude, or Gemini
- Access to at least one AI model (free tier is sufficient)
- No technical background or prior verification experience required
Works with your AI
ChatGPT (GPT-4o or later)
Claude (3.5 or later)
Gemini (Pro or later)
Any capable AI model
Use a DIFFERENT model for verification than the one that generated the content — the single most important improvement you can make.
Pricing
Personal
$199
one-time
- All 10 modules with exercises
- 7 rubric-assessed exercises
- Capstone project with rubric
- All downloadable assets
- Certificate of Completion
- Lifetime access
Professional
$399
one-time
- Everything in Personal
- Use methodology in client work
- Email support
Team (10 seats)
$2,999
one-time
- Everything in Professional
- Up to 10 learners
- Facilitator guide
- Team administration
Frequently asked questions
- How is this different from the AI Research Verification System ($99)?
- The System is the complete toolkit — spreadsheets, matrices, report templates, and checklists for ongoing professional use. This Course teaches you the SKILL to verify effectively through structured practice, realistic scenarios, and assessed exercises. The System helps you DO the work. The Course develops your CAPABILITY.
- Do I need a paid AI subscription?
- No. This course works with free tiers of ChatGPT, Claude, and Gemini. Paid tiers help with longer documents but are not required.
- How long do I have access?
- Lifetime access to the version you purchase. Minor updates (1.x) are included free.
- Is there a certificate?
- Yes — a Certificate of Completion documenting that you completed the course including the capstone project. This is NOT a professional certification or accreditation.
- What if I already own the Verification System?
- The course deepens your verification skills beyond what the System's documentation provides. You will become significantly more effective at using the System. However, if you already verify confidently, the course may be unnecessary — review the learning outcomes to decide.
- Is this a video course?
- Mixed format: text-based instruction with video demonstrations for key concepts (screen recording + slides, 10–15 min each). The core learning happens through exercises and practice, not passive video watching.