The AI Hallucination Detector
Find out if your AI is hallucinating.
Your AI retrieves information from your documentation. If that documentation is wrong, contradictory, or outdated—your AI confidently delivers wrong answers.
We find the hallucinations before your customers do.
What You Get
We run our proprietary Hallucination Detector on your documentation and deliver a triage report:
| Triage | Meaning | Action |
|---|---|---|
| Green | Current, consistent | No action needed |
| Yellow | Minor inconsistencies | Review when convenient |
| Red | Active contradictions | Fix before they hurt you |
| Black | Outdated, orphaned | Archive or delete |
You'll know exactly which files are causing your team to hallucinate—and which ones are causing your customers to get wrong answers.
How It Works
1. You share access (15 min) Point us to your documentation repo, knowledge base, or content folder. We handle the rest.
2. We run the test (same day) Our Hallucination Detector scans for age, structural issues, content markers, and semantic conflicts that produce AI hallucinations.
3. You get the report (24-48 hours) A clear triage showing your highest-risk files—the ones most likely to make your AI hallucinate.
4. We discuss next steps (optional) If you want help fixing what we found, we'll scope a treatment plan. No pressure—the report is yours either way.
What We Look For
Truth fragments when stored in multiple systems. When one source is updated but another isn't, your organization doesn't know the current truth. It has two conflicting episodic records, and no semantic memory to resolve them.
The Hallucination Detector finds the sources of AI hallucinations:
- Age drift — Files that haven't been touched while everything around them changed
- Structural drift — Orphaned files nobody links to, broken references
- Content markers — TODOs, old dates, version numbers from two years ago
- Semantic conflicts — Documents that contradict each other
Your AI is hallucinating because your knowledge base is wrong. It retrieves outdated content and confidently delivers it as current guidance. It doesn't know anything—it just finds things.
Your AI retrieves what's there. It doesn't know what's true. When your documentation contradicts itself, your AI hallucinates—confidently. We find the gap.
Who This Is For
You need this if:
- Your AI chatbot occasionally gives wrong answers (and you're not sure why)
- Your documentation lives in multiple systems that don't sync
- You've had customers or team members find outdated information
- You're about to deploy AI on your knowledge base and want to trust it
You don't need this if:
- You have a single small doc that you update weekly
- Your documentation is already version-controlled with verified claims
- You're not using (or planning to use) AI on your content
After the Test
The report is yours. No strings attached.
If you want help fixing what we found, we offer:
Treatment — We establish canonical truth for your highest-risk content areas. One source, multiple outputs, no more hallucinations.
Architecture — We design a semantic memory system for your organization. Verification upstream, generation downstream.
Transfer — You own the system. We document everything, train your team, and step back.
Learn more about the methodology →
The Proof
We don't just sell this. We use it.
Every system we build runs on semantic memory architecture. Our consulting documentation, our client deliverables, this website — all generated from canonical claims that we verify once and derive everywhere.
Drift doesn't just happen over time. It happens the moment you create a second version of anything. The Hallucination Detector catches it before your users do.
Request Your Free Test
15 minutes. Free. Find out why your AI is hallucinating.
"Your AI is only as accurate as your documentation."