Building a Stunning Chatbot Frontend with Next.js and AI: Series Four Recap
Toheeb Adisa

Toheeb Adisa

31

Building a Stunning Chatbot Frontend with Next.js and AI: Series Four Recap

As part of the ongoing AI Playbook: Customer Support Chatbot with Business Intelligence, we’ve reached a pivotal stage bringing the chatbot’s user interface to life.

In Series Four, we dove into modern frontend development using Next.js and instincthub-react-ui, with an exciting twist: leveraging AI to generate UI source code from visual inspirations.

Whether you missed the session or want a recap, this post walks through everything we covered and how you can apply it to your own AI project.

What This Session Was About

A chatbot’s intelligence is only as good as its usability. In this hands-on session, we focused on:

  • Installing and configuring the @instincthub/react-ui component library

  • Sourcing beautiful, modern UI examples for chat interfaces

  • Using AI (e.g. GPT-4 Vision or similar tools) to convert UI images into working React components

  • Integrating generated code into a scalable Next.js frontend

Our goal was to rapidly prototype and implement an elegant, user-friendly interface for interacting with the AI-powered chatbot backend we’ve been building over the past few weeks.

Core Components Implemented

1. Installing instincthub-react-ui

We began by installing the latest version of the InstinctHub React UI kit, a component library tailored for fast design implementation.

npm install @instincthub/react-ui@latest

We also imported the core styles into our layout:

import "@instincthub/react-ui/assets/css/styles.css";

This gave us access to ready-to-use components like buttons, input fields, chat cards, and responsive layouts.

2. UI Sourcing & Inspiration

Great UIs start with great inspiration. We reviewed modern UI samples from platforms like:

  • Dribbble

  • Behance

  • Tailwind UI

  • Pinterest

We focused on chat interfaces, dashboard layouts, and authentication screens all essential parts of our chatbot frontend.

3. From Design to Code With AI

We explored how to use AI to generate frontend code:

  • Uploaded a UI screenshot

  • Prompted GPT or Copilot-like tools to generate JSX + Tailwind CSS

  • Refined the code to fit within our Next.js framework

This process supercharged our development speed, removing repetitive layout work and letting us focus on user experience.

4. Full Integration into Next.js

We took the AI-generated UI code and:

  • Organized it within our components/ and pages/ directories

  • Created dynamic views for login, chat interface, and user dashboards

  • Connected the UI to the backend APIs we built in Series Three

The result: a working, sleek interface that users can interact with directly.

What We Achieved

By the end of the session, participants had:

  • A modern UI integrated into a real Next.js app

  • Authentication forms (Login & Register)

  • A live chat interface connected to conversation history

  • System dashboards for chatbot metrics

  • An embeddable widget system ready to be dropped into any external site

Missed the Live Session?

No worries we’ve got you covered.

Watch the full replay on YouTube:

Join the Community and Build With Us

Want to stay updated, access session resources, and build side-by-side with others?

Join the WhatsApp Community:

Together, we’re not just learning AI we’re building real-world AI systems from scratch.

A tech career with instinctHub

Ready to kickstart your tech career or enhance your existing knowledge? Contact us today for a dedicated instructor experience that will accelerate your learning and empower you to excel in the world of technology.

Our expert instructors are here to guide you every step of the way and help you achieve your goals. Don't miss out on this opportunity to unlock your full potential. Get in touch with us now and embark on an exciting journey towards a successful tech career.

Add Comments

First Name
Last Name
Say something:

Are you human? Solve this:

+ = ?

Post you may also like