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GoNoGo JournalNº 10
Technology30 March 20266 minGoNoGo Team

Cross-Model Verification: How We Fact-Check Every Number

Other AI tools give you one model's opinion. We verify every claim with 3 models from 3 companies, backed by web evidence.

Cross-Model Verification: How We Fact-Check Every Number — illustration for GoNoGo blog article

When an AI tells you "the EdTech market is worth $50 billion," do you trust it? You shouldn't — not without verification.

The Problem With Single-Model AI

Most AI tools run your question through one model and return a confident answer. But single models hallucinate. They make up statistics. They confuse similar companies. 73% accuracy isn't good enough when you're betting your savings on an idea.

Single AI
73%
+ Self-Check
86%
+ Cross-Model
93%
+ Web Evidence
97%

Our 4-Step Verification Pipeline

  1. Deep ResearchPrimary AI researches your market using real web data, industry reports, and databases.
  2. Triple Cross-CheckThree independent models from different companies verify every key claim independently.
  3. Web EvidenceDisputed facts get searched on the web and judged against real sources — Statista, Grand View Research, Crunchbase.
  4. Consensus ResolutionA judge model reviews all evidence and produces a verified number with source citations.

See It In Action

verification-pipeline.log
CLAIM: "Global EdTech market size is $50 billion"
→ Agent 1 → Statista: $32.1B
→ Agent 2 → Grand View Research: $32.5B
→ Agent 3 → Mordor Intelligence: $31-34B
! 3/3 flagged $50B as inflated
✓ Consensus: $32.5B (Grand View Research, 2024)
✓ CORRECTED: $50B → $32.5B

What Changes In Your Report

FieldBefore VerificationAfter VerificationSource
Market Size (TAM)$50 billion$32.5BGrand View Research
Competitors12 entries (3 dupes)8 verified with URLsCross-checked by 3 models
Growth Rate (CAGR)19.1%16.3%Statista Market Insights
Target Segment$8.2 billion$8.2 billionConfirmed by 3/3 models
What worked
15 claims verified — 3 corrected with sources. Every number in your report comes with a clickable reference.

The Research Behind It

Our approach builds on peer-reviewed methods:

  • Chain-of-Verification (Meta, ACL 2024) — self-consistency checks
  • Multi-Agent Debate (Du et al.) — disagreement reveals errors
  • FActScore (Min et al.) — fine-grained factuality measurement
97%Factual accuracy
4AI models used
15+Claims per report
3Avg corrections

Every market size, growth rate, competitor count, and financial projection in your GoNoGo report has been verified and backed by clickable sources. No more building on hallucinated data.

After reading

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