Speedrunning building an AI interactive web app (start to finish)
Автор: Ryan Kim
Загружено: 2026-01-10
Просмотров: 73
Описание:
I built a $1M-looking AI quiz app in hours—no coding skills required. Here's the exact process.
🎯 Get the full prompts + deployment guide:
In this video, I show you how to speedrun creating an AI-powered interactive web app from idea to fully deployed—using ChatGPT, Google Gemini, Cursor, and n8n. No coding experience needed.
Here's what you'll learn:
How to validate demand BEFORE building anything (most important step)
The ChatGPT → Gemini workflow that generates production-ready code
How to craft the perfect prompt for Gemini to build exactly what you want
How to transfer Gemini code into Cursor IDE for deployment
How to deploy your web app to Netlify and connect a custom domain
How to set up backend automation with n8n to capture submissions
How to use AI to generate personalized plans and deliver them via email
The entire frontend-to-backend workflow in under 20 minutes
This process works for lead magnets, quizzes, SaaS apps, web tools, calculators—anything interactive. The key is nailing the prompt on the frontend before touching any code.
Example from this video: 30-Day Fat Loss Forecast Quiz that captures emails and delivers personalized 7-day kickstarter plans automatically.
📲 Connect:
Instagram: instagram.com/ryan_kim1
LinkedIn: / ryan-kim5
Email: [email protected]
💬 What web app are you going to build with this process? Drop your idea in the comments.
Timestamps:
0:00 - Why validate demand BEFORE building
0:22 - Step 1: Ask your audience what they want
0:38 - Using ChatGPT to architect the perfect Gemini prompt
1:18 - Creating the prompt outline with all necessary variables
1:48 - Brainstorming quiz flow & user inputs
3:17 - Finalizing quiz logic & calculation rules
5:13 - Finding design inspiration (Framer reference)
5:43 - Reviewing the full prompt before submitting
6:32 - Submitting to Google Gemini AI Studio
6:53 - First look at the generated web app
7:16 - Making design tweaks & iterations with Gemini
8:32 - Reviewing the final app before deployment
8:52 - Preparing code for Cursor IDE
9:49 - Step-by-step Cursor setup walkthrough
10:23 - Creating project folder & installing dependencies
11:00 - Copy-pasting all files from Gemini into Cursor
11:44 - Running npm run dev to test locally
12:26 - Troubleshooting errors & file structure
13:02 - App running successfully locally
13:20 - Deploying to Netlify (drag & drop dist folder)
13:40 - Connecting custom domain with Namecheap DNS
14:24 - Setting up n8n webhook to capture submissions
15:03 - Updating app with production webhook URL
15:29 - Testing the live quiz & webhook capture
16:08 - Building the backend: AI-generated personalized plans
17:41 - Creating the system prompt for dynamic plan generation
18:46 - Sending automated email with personalized plan
19:20 - Final result: Email delivered with custom plan
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