Building a Functional Auth System for Your AI Chatbot with InstinctHub UI Series Five Recap

In the fifth session of our Hands-On AI Playbook series, we took a pivotal step forward in enhancing our Customer Support Chatbot by implementing authentication and user management.

While earlier sessions focused on backend foundations and frontend UI, Series Five was all about enabling real users to securely register, log in, and interact with the chatbot.

Why Authentication Matters

As your AI-powered chatbot moves from prototype to production, secure access becomes critical. Whether you’re building for internal teams or customer-facing use, an authentication system protects your data, maintains user sessions, and enables personalization.

What We Covered

1. Rebuilding the Login Page with InstinctHub UI

We started by redesigning the login experience using the @instincthub/react-ui library. This library helps developers ship polished interfaces fast — with accessible, responsive components out-of-the-box.

Key steps:

• Installed the @instincthub/react-ui package

• Imported the global styles

• Implemented a clean and modern login page layout

• Integrated next-auth for authentication

• Generated test user login data

• Simulated login scenarios

2. Creating a Signup Page from Scratch

After login, we moved to the signup flow:

• Designed the page UI using InstinctHub components

• Collected and validated user input

• Connected the signup form to backend endpoints

• Tested new user registration flows

• Ensured compatibility with JWT authentication

3. Enhancing Developer Productivity

Throughout the session, we demonstrated:

• How to keep UI and backend layers consistent

• Where to place reusable components for scalability

• The value of sticking to modular file structures

Technical Stack Recap

• Frontend: Next.js with TypeScript

• UI Library: @instincthub/react-ui

• Auth System: next-auth, JWT

• Backend: Django (covered in earlier sessions)

• Database: PostgreSQL

• Session Handling: Token-based authentication

Project Benefits After This Session

• Users can now sign up and log in securely
• Clean, responsive UI integrated with the chatbot
• Real-time communication protected behind user sessions
• Foundation laid for user-specific chatbot interactions

What’s Next in Series Six?

We’ll integrate document intelligence into the chatbot using RAG (Retrieval-Augmented Generation) and real-time data fetching, powering the assistant to answer context-rich questions using your business documents.

Watch the Full Session Replay

Missed it live? Catch the full session here:
🔗 Watch Series Five on YouTube

Read More: Blog Recap

For visuals, snippets, and setup steps:
🔗 Read the Blog Recap

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