Challenge
Meal planning has a deceptively large input space. The experience had to capture real preferences without becoming a long form or producing generic, impractical output.
AI consumer product · Case study
QuickMealPlan
An AI-powered planning experience that turns preferences into practical menus, grocery lists, and nutrition guidance.
My role
Product design · AI workflow · Full-stack engineering
Generative AIProduct UXAutomation
The assignment
Make the difficult thing feel obvious.
Key decision
Translate a small set of human-friendly choices into structured AI context, then return the plan, shopping needs, and nutrition guidance as one coherent workflow.
Outcome
A useful consumer experience that turns a vague intention—eat better this week—into a concrete plan someone can act on.
System view
Architecture people can reason about.
A strong system makes its transformations visible. Each layer has one job and a clear contract with the next.
01
Preferences
Goals, tastes, and constraints
02
Prompt system
Structured product context
03
Generation
Meals, nutrition, and shopping
04
Household
A plan ready to use
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