Mortgage Loan Management taught me how different a quick prototype feels from a client-ready system. The first working screens were not the hard part; the hard part was matching the product to real workflows, expectations, and edge cases.
The real work
The system needed role-based flows, validation-heavy forms, document upload, reporting views, and UI behavior that made sense to people already used to a specific mortgage process. Each adjustment uncovered another expectation hiding inside the workflow.
The AI-era lesson
It is the same lesson people are learning with AI coding tools now: generating a prototype can be fast, but polishing it into the exact system people need is slower, more precise, and much more dependent on communication.
My role
I worked mostly as the frontend owner, translating requirements and feedback into usable screens while keeping the React structure maintainable through forms, role boundaries, and reporting-oriented interfaces.
Client workflow project showing the gap between prototype speed and production fit.