Product case study · Food system

Eat Easier

A Swift meal-planning app and Next.js commerce platform connecting AI food scanning, weekly planning, recipes, groceries and a physical Bento product through shared data workflows.

ProductMeal Planning, Physical Product
PlatformsiOS, Web App
LanguagesEN, ES
StackSwift, Next.js, PostgreSQL, OpenAI

What Eat Easier is

Eat Easier is part of Gerardo Salazar's independent product portfolio. The work joins product strategy, interface design, application engineering and production delivery around a specific operating problem. A Swift meal-planning app and Next.js commerce platform connecting AI food scanning, weekly planning, recipes, groceries and a physical Bento product through shared data workflows. This page is the stable, crawlable reference for the project; the interactive portfolio contains the visual walkthrough and product media.

How the system is built

The primary technology system uses Swift, Next.js, PostgreSQL, OpenAI. These components support the meal planning, physical product workflow across iOS, Web App. The architecture is presented as shipped product evidence: interface states, domain logic, supporting services and public distribution are treated as one operating system rather than separate concept screens.

Explore the live product