Can AI answer questions about allergens?
By Sascha van Well · Updated on
The short answer: technically it can, but it should not. Here is why, and how to enforce it.
Should an AI assistant answer an allergen question?
A language model can read a question like 'are there nuts in your meatballs?' and write a fluent reply. The problem is not language but certainty. The model does not know which batch your customer bought, whether a supplier changed a recipe, or whether cross-contamination is possible in your kitchen. A reply that sounds right but is slightly wrong can put someone with an allergy in hospital. A mistake about a delivery time is annoying; a mistake about allergens is dangerous. So the only responsible rule is that an AI assistant does not answer allergen questions itself, but recognises them and passes them to a person who can check the current product information. That rule belongs in the software, not in an instruction to the model that it might ignore under pressure.
How does Linedesk365 handle allergen questions?
In Linedesk365 this works in two layers. The first is in the software: when the system recognises a question about allergens, ingredients or food safety, it sets it aside for a team member as an escalation. The same applies to questions about payments and personal data.
The second layer is an instruction to the AI model: in the draft for an allergen or ingredient question, it leaves those facts as open slots for a team member to fill in. An instruction is not a guarantee. That is why nothing reaches a customer without a person reading and approving it, not even routine replies.
How do you test that the rule really works?
A rule nobody tests is a hope. Before every release of Linedesk365 a fixed safety test of 99 questions runs: 37 about food safety, 17 about payments and 18 about personal data. If one of those sensitive questions is routed the wrong way, the build stops and that release does not go live. On 19 October 2026 all 99 questions were correct.
A test like this does not prove that the system recognises every possible phrasing. It proves that a known mistake cannot quietly come back. That is why human review of every reply remains the last safeguard.