AI Research Verification System
Trust your AI-generated research — or know exactly what you can't trust
A systematic methodology for verifying AI-generated content before you publish, present, or make decisions based on it. Catch hallucinations, fake citations, and distorted statistics with structured claim extraction, source verification, and confidence scoring.
What's included
- 4-phase verification methodology (Extract → Verify → Score → Report)
- Claim Extraction Worksheet — break AI output into verifiable atomic claims
- Source Verification Matrix — score source reliability across 5 dimensions
- Confidence Scoring Framework — produce an overall trust score for any document
- Hallucination Detection Checklist — 30+ systematic checks for AI fabrication patterns
- Verification Report Template for presenting findings to stakeholders
- Quick-Reference Card (printable 2-page summary)
- AI-assistant prompts for using a second model as a verification co-pilot
Who it's for
- Content teams publishing AI-assisted articles, reports, or marketing copy
- Consultants delivering AI-generated research to clients
- Executives making decisions based on AI-produced analysis
- Researchers using AI for literature reviews or data synthesis
- Anyone who needs to trust — but verify — AI output
How it works
1. Extract
Break AI-generated content into individual, verifiable claims. Categorize each as statistical, attribution, quote, or logical inference.
2. Verify
Check each claim against reliable sources. Does the paper exist? Does the statistic match? Did this person actually say this?
3. Score
Assign a confidence score based on claim accuracy, source reliability, consistency, recency, completeness, and bias.
4. Report
Document what you found — corrections, remaining gaps, and overall trust level. Create a paper trail.
One-time purchase · Instant download
What you get: Spreadsheets (Excel + Google Sheets), PDF guides, report templates, and AI-assistant prompts. Works on any device, no special software needed.