A generic AI analysis tool makes things up. A well-framed AI analysis tool answers, structures, and reassures. iAlacarte combines structured ingestion, filtered retrieval, authoritative references, guardrails, and human validation to reduce the risk of hallucination.
An AI analysis tool alone has no knowledge of tonight's menu. It produces what is plausible, not what is true. For a menu and dining room service, the gap between the two is commercially and legally costly.
iAlacarte imposes a strict framework on the AI analysis tool: it only answers based on the structured menu, authoritative references, and business rules of the domain.
Ingestion converts photo / PDF / Word into a normalized structure: dish, ingredients, allergens, price, section, time period. The AI does not invent a dish absent from this structure.
For each question, iAlacarte performs a filtered vector search across the actual menu, references, and business rules — and passes only the relevant context to the AI analysis tool. The AI analysis tool responds based on this context only.
Nutritional, allergenic, and oenological databases are not inferred by the AI analysis tool but retrieved from public references: ANSES/CIQUAL, USDA, FAO/INFOODS, INCO 1169/2011, WineMag, IBA, TheCocktailDB, RecipeNLG. See Authoritative references.
Explicit confirmation by the dining room team is systematically prompted.
Cautious filtering; no guarantee of zero risk.
Mention of the need for medical advice; no AI diagnosis.
The AI declines to weigh in; redirection to a healthcare professional.
The restaurateur can validate, correct, or disable any sensitive information (allergens, hidden ingredients, disclosures). Changes are logged and applied immediately to subsequent responses.
For the complete legal framework, see Terms of Service & liability limits.
Discover the details of the architecture, the references used, and the guardrails applied to every response.