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Comparing menus with Nina

Captured menus don’t just sit on the tab. They become what the AI knows about the street outside.

The rule

The more competitors you’ve captured, and the fresher the readings, the sharper every other AI surface gets. Treat this tab as the AI’s memory of the street.

Asking Nina

The chat box sits at the top of the right-hand panel, so you can ask the moment the page opens — no scrolling past the dish list.

Ask anything about their menu: what to copy, what to price against, where to differentiate. She answers with your two menus side by side.

The analysis underneath compares what actually matters:

  • how many food dishes each of you carries
  • the typical (median) food dish price — never a whole-menu average, which one expensive bottle would distort
  • the size of each drinks programme: wine list, cocktails, spirits

Reading it in your language

Nina writes in English. Translate switches the whole write-up to any language your venue runs. Prices and dish names stay as they are — you still need the real dish name to find it on their menu — while the summary, the strategic moves and the labels change. Show original switches back.

Where else this shows up

  • Ask the chat assistant “are we cheaper than Appia on pasta?” and it answers with their real captured prices, not a guess.
  • When the system drafts a caption or plans your calendar, it already knows each tracked rival’s menu and any recent price moves — so it can write “while the carbonara across the road just jumped to ฿340, ours is still ฿285” without being told.