AI food logging turns a sentence or a photo into a draft entry: foods, portions, and an estimated calorie and macro split. The speed is the feature. The draft is not the diary.
Models miss hidden ingredients, confuse similar dishes, and underestimate oils and sauces. That is why a review step matters more than a prettier confidence score. Correcting one portion is still faster than searching a database from scratch.
Barcode lookup remains the better path for packaged foods with a label. AI is most useful for mixed plates, home cooking, and meals you would otherwise skip logging because typing felt too slow.
Treat the weekly total as the object of trust, not any single photo. If three dinners were estimated and one was weighed, the trend can still tell you whether intake is drifting.
Calora keeps AI estimates editable and pairs them with an in-app coach for questions — not for automatic decisions. You confirm the entry. The model does not get the last word.
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