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How to Built an AI-Powered UI Component in React (with OpenAI API)

How to Built an AI-Powered UI Component in React (with OpenAI API)

A complete walkthrough with code, tips, and real-use advice

Mikita Aliaksandrovich's avatar
Mikita Aliaksandrovich
May 26, 2025
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How to Built an AI-Powered UI Component in React (with OpenAI API)
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AI is no longer just about chatbots — it’s about giving your users quick, contextual, smart tools right inside the UI.

In this post, I’ll show how I built a simple but powerful AI feature using React and the OpenAI API: a component that summarizes user-entered text in one click. Fast, clean, reusable.

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✅ 1. What We’re Building

The idea is simple — and powerful:
A React component that allows users to interact with AI in a clean, intuitive way.


🧠 The Core Use Case

  • The user pastes or types in any block of text

  • They click a single “Summarize with AI” button

  • In seconds, they receive a GPT-generated summary displayed below

This feels fast, helpful, and smart — without requiring the user to understand prompts, tokens, or APIs.


🧱 The Component’s Role in Your App

This component can be:

  • A standalone tool (e.g. inside a dashboard or editor)

  • A reusable block in a CMS or writing assistant

  • A low-key AI helper in any UI with long content or text input

It works like a small “AI-enhanced text processor” — and it can be embedded anywhere in your app without changing your layout or backend.


🛠️ Goals & Requirements

For this to be useful in real-world apps, it must:

  • ✅ Work in any React + TypeScript project — no external AI libraries required

  • ⚡ Be fast and responsive, with minimal dependencies

  • 🔐 Keep your OpenAI API key safe by calling from a server-side route or API handler

  • 🧼 Offer a clean and predictable user experience, including:

    • Loading indicator while AI is working

    • Clear error messaging if the request fails

    • Output formatting that’s easy to read or copy


🔄 Variants & Extensions

One of the best parts of this setup is its flexibility.
By simply changing the prompt, the same component can be used for:

  • 🌍 Translation (e.g. English → French)

  • 🧑‍💻 Code explanation

  • ✍️ Rewriting tone or style

  • ❓ Generating interview questions

  • 📄 Text improvement (grammar, clarity, simplification)

The structure stays the same — only the prompt changes.
You’re not building five different tools. You’re building one flexible AI block that adapts to context.

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