2 billion
Menlo Ventures estimates that 2 billion people use AI worldwide. (2026)
It gets things wrong — and sounds sure when it does. Before you believe it, check it.
Quillfen Home Internet, an invented brand
Applies to this scan only.
2 billion
Menlo Ventures estimates that 2 billion people use AI worldwide. (2026)
7 in 10
In a 2026 survey of US and UK consumers, 7 in 10 AI chatbot users who felt responsible for checking said they check answers only sometimes, rarely or never. (F-Secure)
The problem isn’t that AI can be wrong. The problem is that you often don’t know when it is.
Offer CheckBetaFree
See the pressure tactics, quoted word for word, and what the claims leave out.
Verify
Paste the answer and the document it should follow. See what it left out, with the quote.
Or ask six AIs and see where they disagree →Agreement between AIs isn’t proof.
Help Center Check + Verify
Find help articles and AI answers that disagree with your own policies, and catch them when a policy changes.
Verify API, MCP server, Verify Gate
Check a drafted answer against the passages it should follow, from your code, your AI tools or your release pipeline.
Every word is real. The claim is still wrong.
Your policies change. Does your AI know?
When your prices, policies or procedures change, Help Center Check flags help articles and AI answers that may now disagree, with the evidence.
$99/month founding rate, 14-day trial.
Policy changes → the answers that depended on it are found → they’re re-checked.
For businesses running an AI chatbot or support bot.
Paste your policy or product info, paste an answer your chatbot gave, and Verify shows what it got wrong or made up, with the line from your document that decides it. If you don’t run a chatbot, you don’t need Verify.
Your document, for example:
What your chatbot said, from:
Code confirms the quote.
A model can suggest which line supports a claim. Code then confirms that the line actually exists in the source. And we publish what we miss: on our fresh 300-item constructed benchmark, Verify’s code-only layer accepted 8 of 220 deliberately flawed answers; the best tested AI judge accepted 52. Verify missed its own 2% target, and we publish that.
These results are for Verify’s benchmark. They don’t measure Offer Check or every Xyntherium product.
What a check can and can’t tell you: code checks that quoted evidence exists in the text you supplied. That doesn’t prove the source itself is right. Comparing several AIs shows agreement, not proof.
Every product here works the same way: find the exact line a claim depends on, confirm it in code, and keep a record.
Verification is not only our product. Other software runs its checks on the same engine.
Checks what AI assistants say about a local business (hours, services, contact details) against the business’s real details.
truelevelmarketing.com/ai-check →Planned: Decision Watch.