We would not pay a model to guess.
The ask was the one every app ships: snap a meal, get macros, print an accuracy figure. What we built instead: the photo is the member's memory and the coach's context, and the numbers come from structure. The coach's own plan meals, the member's past meals, a public food table, a barcode or a label, and hand portions with one extra question about oil, sauce and drinks, the row the research keeps flagging as the biggest miss.
A member who already pays for their own AI can paste its answer in, and the entry is tagged as their AI's estimate. We publish no accuracy percentage, because it would be a guess about a guess.
Your coach can correct any estimate in one tap, and Marrow remembers it.


