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Prompt Library
product UX + react engineering
overview

Making AI usable through shared, discoverable prompts

The Prompt Library is an internal tool that allows employees to discover, save, and reuse vetted AI prompts. It was designed to lower the barrier to AI usage while promoting consistency and best practices across the firm.

I owned the full product experience—from UX design and information architecture to front-end implementation in React—during a period when internal AI adoption was still nascent and evolving.


Role

Product UX • front-end engineering (React)

Users

Firm-wide (primary: professional staff)

Platform

Internal web app (React)

problem

AI was powerful, but difficult to discover and reuse

As AI tools rolled out internally, users struggled to know where to start. Effective prompts were scattered, duplicated, or lost, making AI feel inconsistent and time-consuming rather than helpful.

Core challenge

Without structure, discoverability, or reuse, AI adoption depended entirely on individual experimentation.

solution

A simple, scalable system for discovering and sharing prompts

What I designed and built

• Clear information architecture focused on two actions: explore prompts and create prompts
• Categorization and tagging to support browsing and filtering
• Search to quickly surface relevant prompts
• A clean, modern interface aligned with contemporary AI products while remaining professional and restrained

On the engineering side, I implemented reusable React components and shared state patterns to support future growth as the prompt library expanded.

Constraints

• Ambiguous product direction
• Early-stage AI adoption
• Enterprise usability expectations

evidence

Institutional adoption through training and reuse

The Prompt Library became part of mandatory AI innovation training, reinforcing it as a shared internal resource rather than an optional tool.


Adoption signal

Prompts were reused and referenced across teams, improving consistency and reducing duplicated effort.

Long-term value

The system established a foundation for scaling internal AI usage without overwhelming users or introducing unnecessary complexity.

reflection

Senior work is often about what you choose not to build

This project reinforced that early AI tools don’t need to be complex to be valuable. By prioritizing clarity, reuse, and scalability over novelty, the Prompt Library helped normalize AI usage across the firm.

TestmaxPrep
Product design • front-end implementation