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 inside
Break AI-generated text into atomic verifiable claims with source tracking.
| Claim ID | Claim Text | Category | Source Cited | Verified? | Confidence |
| C-01 | "GPT-4 achieves 86.4% on MMLU benchmark" | Stat | OpenAI 2023 | ✓ Verified | High |
| C-02 | "AI reduces hiring bias by 35%" | Stat | None cited | ✗ Unverified | Low |
| C-03 | "Harvard study found AI improves diagnosis" | Source | Topol 2019 | ⚠ Partially | Medium |
| C-04 | "Market will reach $407B by 2027" | Stat | MarketsAndMarkets | ✓ Verified | High |
| C-05 | "93% of companies use AI regularly" | Stat | McKinsey 2024 | ✗ Distorted | Low |
Files included
Everything 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 — 6 weighted criteria for document trust scoring
- Hallucination Detection Checklist — 27 systematic checks across 6 AI fabrication categories
- Verification Report Template with confidence assessment
- Quick-Reference Card (printable 2-page summary)
- 12 AI-assistant prompts including 4 red-team and verification prompts
- Complete worked example (ContentFirst scenario) with pre-filled spreadsheets
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
Not designed for
- Real-time fact-checking during AI conversations
- Verifying code, images, or non-text AI output
- Automated verification (this is a human-led methodology)
How it works
1. Extract
Break AI-generated content into individual, verifiable claims across 6 categories.
2. Verify
Check each claim against reliable sources scored on 5 dimensions. Does the paper exist? Does the stat match?
3. Score
Assign confidence scores using 6 weighted criteria (30% claim accuracy + 5 dimensions at 14% each).
4. Report
Document corrections, confidence assessment, remaining gaps, and overall trust level.
“Why not just ask AI?”
AI can generate generic frameworks. Here's what this system provides that a prompt cannot:
Systematic claim extraction across 6 categories
AI can miss its own hallucinations. This framework forces structured decomposition that catches what AI verification misses.
Source reliability scoring on 5 dimensions
A scored matrix, not a yes/no answer. Each source gets a reliability rating you can defend.
Confidence scoring with weighted criteria
A numeric trust score (0–100) with transparent methodology — not 'this looks mostly accurate.'
Catches what AI can't catch about itself
AI is systematically bad at detecting its own fabrications. The red-team prompts and hallucination checklist (27 checks) are designed specifically for this.
Version 1.1
Last updated August 15, 2026
Added hallucination detection checklist (27 checks), expanded worked example
Frequently asked questions
Does this work with any AI model?
Yes. The verification methodology works with output from ChatGPT, Claude, Gemini, or any other AI. It's model-agnostic.
How is this different from just fact-checking?
It's systematic. You extract every claim, score sources on 5 reliability dimensions, assign confidence using 6 weighted criteria, and produce a structured report. The worked example shows how 3 fabricated claims were caught in a polished-looking article.
Can non-technical people use this?
Absolutely. The checklists and scoring frameworks are designed for anyone who works with AI-generated content. Quick Mode takes 30-90 minutes.
What if I'm not satisfied?
30-day money-back guarantee. No questions asked.
One-time purchase · Instant download
What you get: CSV spreadsheets (Excel + Google Sheets), Markdown guides, report templates, and AI-assistant prompts. Works on any device.