Trust Center
AgentQ is built to be citable and honest, not merely fluent. He searches this site's FDA enforcement dataset and reads the documents it holds, and when the record doesn't cover something, he says so rather than inventing an answer. Here's how, and a way to prove it yourself, live.
Prove it live
Ask AgentQ something out of scope and he declines instead of inventing an answer. Ask something grounded and he answers from the real record. Run it:
The discipline
Cite or decline
Every claim is tied to a source AgentQ was handed. If nothing is relevant, he says so, no confident guessing.
Machine-extracted text is labeled
Form 483 observation text is read from FOIA PDFs by a model, not published by FDA. AgentQ flags it as a pointer to the record, never as verbatim FDA wording.
No invented findings
AgentQ won't assert a root cause or corrective action as FDA's own finding, FDA states what it observed, not why.
Coverage is disclosed
Where data is partial (FOIA-gated 483 text, sparse CFR tagging), the gap is stated rather than hidden.
What AgentQ is allowed to cite
Only these. Nothing else reaches the answer.
This site's FDA enforcement data
Real Form 483 observations and warning-letter violations, what FDA has actually written up, keyed by CFR provision. AgentQ searches and reads these to ground his answers.
Controlled CFR requirement corpus
A curated, plain-language summary of the CFR provisions the product cites (Parts 820, 211, 11, 803, 806). When you ask what a provision requires, AgentQ draws from this corpus, and says so when a provision isn't in it, rather than paraphrasing from memory.
FDA guidance library
The FDA guidance store on this site, with real document links; quoted only when the text is actually retrieved.
The demo above runs AgentQ's live answer engine, the same grounded, tool-using reasoning behind the Ask-AgentQ dock. What you see is real behavior, not a description of it.