How ASURIQ compares
There are exactly four options for dealing with AI hallucinations. Here’s how they stack up.
| ASURIQ | Manual checking | AI detectors | Nothing | |
|---|---|---|---|---|
| Checks citations against real databases | ✓ | ○ | ✗ | ✗ |
| dozens of verification databases in parallel | ✓ | ✗ | ✗ | ✗ |
| Hedging language detection | ✓ | ○ | ✗ | ✗ |
| 7-axis confidence decomposition | ✓ | ✗ | ✗ | ✗ |
| Error visibility scoring (FMEA) | ✓ | ✗ | ✗ | ✗ |
| Code vulnerability scanning | ✓ | ○ | ✗ | ✗ |
| Multi-model deliberation (14 architectures) | ✓ | ✗ | ✗ | ✗ |
| Exportable audit trail (Fingerprint) | ✓ | ✗ | ✗ | ✗ |
| Anti-sycophancy safeguards | ✓ | ✗ | ✗ | ✗ |
| Adaptive model learning (fingerprinting) | ✓ | ✗ | ✗ | ✗ |
| Works inside ChatGPT/Claude/Gemini | ✓ | ✗ | ✗ | ✗ |
| Requires zero behavior change | ✓ | ✗ | ○ | ✓ |
| Real-time (under 5 seconds) | ✓ | ✗ | ✓ | ✓ |
| Free tier available | ✓ | ✓ | ○ | ✓ |
| Catches AI-specific failure modes | ✓ | ○ | ○ | ✗ |
Why each alternative falls short
Manual checking
Works, but doesn’t scale. Googling every citation, verifying every statistic, reading the primary source for every claim. this is what due diligence looks like, and it takes 10-30 minutes per AI response. Most people don’t do it. ASURIQ does it in 3 seconds against dozens of databases simultaneously.
AI detectors (GPTZero, Originality.ai, etc.)
These answer a different question: “was this text written by AI?” That’s useful for plagiarism detection, but it tells you nothing about whether the content is accurate. A human-written article can be full of errors. An AI response can be perfectly correct. Detection ≠ verification.
“Just ask the AI if it’s sure”
This is AI checking AI. The model evaluating its own output using the same training data that produced the errors. It’s like asking the student to grade their own test. Hallucinations exist precisely because the model is confident about wrong answers. Self-evaluation can’t catch systematic blind spots.
Doing nothing
The default for most people. 40 million health questions to ChatGPT daily. 18-55% of citations fabricated. 1,200+ court incidents. $67.4 billion in hallucination costs in 2024. The cost of doing nothing is already quantified.