Address
[wueseai_login_modal button_text="Sign In Now" button_class="px-6 py-3 bg-green-500 text-white rounded-full"]
Work Hours
Monday to Friday: 7AM - 7PM
Weekend: 10AM - 5PM
Address
[wueseai_login_modal button_text="Sign In Now" button_class="px-6 py-3 bg-green-500 text-white rounded-full"]
Work Hours
Monday to Friday: 7AM - 7PM
Weekend: 10AM - 5PM
Build Perplexity AI Clone with Next.js, React,Tailwind Css, Inngest | Full Stack AI App
In this full-stack tutorial, you’ll learn how to build and deploy a Perplexity AI-inspired app using modern web technologies like Next.js, React, Tailwind CSS, and Inngest. This app mimics real-time question answering with powerful AI integration — from user query handling to automated background tasks!
Inngest.com: https://innge.st/yt-tg3
Tubeguruji Pro: https://tubeguruji.com
Eraser Doc: https://dcmk.short.gy/perplexity-ai-doc
Application Demo : https://perplexity-clone-alpha.vercel.app
What You’ll Learn:
Build a clean, user-friendly UI like Perplexity AI
Use Inngest for async job handling and streaming responses
Create and manage AI agent conversations
Implement secure auth and route protection
Deploy your app to production (Vercel/Fly.io/etc.)
Bolt.New Clone with Next.js : https://youtu.be/fh1s6UbzJ7k
Source Code:
Free Resources: https://dcmk.short.gy/perplexity-free-resources
Free Assets: https://dcmk.short.gy/perplexity-ai-assets
Source Code: https://dcmk.short.gy/source-code-perplexity-ai
Member Only Source Code: https://www.tubeguruji.com/course-preview/perplexity-ai-clone-with-nextjs-reacttailwind-css-inngest
Stay Connected:
Join our Discord Community – https://discord.gg/DJUpW5bMtz
Follow us on Instagram: https://www.instagram.com/tubeguruji
Business Inquiries: [email protected]
Join this channel to get access to perks:
https://www.youtube.com/channel/UC33Tc4FCgd_to314_b2hNTg/join
If you enjoy this tutorial, don’t forget to LIKE , SUBSCRIBE , and COMMENT below with your thoughts or questions!
——-CHAPTERS——-
00:00:00 Introduction
00:05:13 Create NextJs App
00:16:16 Sidebar
00:33:22 Home Screen Input Box
00:52:22 SignIn & Signup
01:03:12 Backend Setup
01:17:31 Save Search Input
01:32:31 Web Search API (Realtime Data)
02:00:09 Save Web Search Result
02:17:58 AI LLM Model Using Inngest
02:44:21 Get Inngest Event Status
02:52:37 Display Search Result
03:07:58 Image & Search Tab
03:24:51 Loading State
03:32:39 Search New Topic
03:41:04 Bug Fix
03:42:54 Library (Search History)
03:52:45 Discover Screen
04:13:22 Deploy App on Vercel
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