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Use case: Nutrition & Lifestyle

Food recommendations, four versions, one winner.

Wire AI pre-generates the recommendation cards (ingredients, macros, preparation) and serves each user the version they are assigned. Rendered as native components you shipped, not a template.

Back to Dynamic Onboarding

76-second walkthrough

A preference-to-recommendation flow. Watch Wire AI serve one of the pre-generated cards.

7 moments from the flow

Sampled across the 76-second session.

Wire AI food recommendation, screen 1 of 7
Wire AI food recommendation, screen 2 of 7
Wire AI food recommendation, screen 3 of 7
Wire AI food recommendation, screen 4 of 7
Wire AI food recommendation, screen 5 of 7
Wire AI food recommendation, screen 6 of 7
Wire AI food recommendation, screen 7 of 7

Architecture

How this use case maps to the stack

1

Attribution

Dietary preferences, allergies, calorie targets set at install. Meal history if available.

2

Agent layer

Writes the meal categories, ingredient sets and card formats (macro-heavy vs. recipe-first) ahead of time. Each user is assigned one version and stays on it.

3

Wire RN

The moat

Streams ingredient cards, macro panels, swap suggestions natively. Visual-first rendering, no template.

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