In this exciting tutorial, we demonstrate how to build three fully functioning AI applications within just one hour using the power of AI and Replit Agent. Join my friend Mark and me as we explore the versatility of this technology, proving that even non-coders can launch their own software applications with relative ease. The three projects we’ll embark on are:
While the specifics of the apps might vary, the methodology we employed can be adapted to suit virtually any software application concept you might have in mind. Throughout this process, we encountered various challenges and errors, which we addressed candidly, providing an authentic view of the debugging process.
We kicked off our journey by exploring a directory of popular AI tools to inspire our app choices. After reviewing some intriguing ideas, we settled on the pickup line generator, a blog creation tool, and a web scraper. Despite our backgrounds in non-coding, we used Replit Agent to facilitate our app-building experience.
Our first endeavor was creating the pickup line app. To get started, we utilized Replit Agent to generate a plan based on our vision for the app. The AI made suggestions to enhance the functionality, including categories for different types of pickup lines.
As we documented our progress, we noted its ability to take screenshots throughout the development process to ensure quality control, which is quite remarkable. After several iterations and incorporating feedback from its own suggestions, we successfully created a working prototype of the pickup line generator.
Next, we tackled the blog generator app, aiming to create a platform where users could simply input a topic and generate SEO-rich blog posts. Replit Agent quickly put together a basic structure based on our instructions. Through several adjustments and requests, we integrated features to allow users to change the tone and language of the content.
Despite encountering some errors, including issues with API calls and missing functionalities, we utilized the progress logging feature to manage and rectify issues effectively. The result was a competent blog generator that even included suggestions for SEO improvements.
For our final project, we decided to build a simple web scraper that could extract information from any given URL. By connecting Replit Agent to Make.com for automation, we set up a web hook to handle the scraping functionality. After tackling several integration issues, we finally had a working app that could summarize the contents of any entered URL.
By the end of this one-hour tutorial, we successfully built three distinct AI applications, demonstrating the incredible capabilities of modern AI tools in streamlining software development processes. If you're curious and want to explore these tools further, we have included resources and access links in the description below.
Feel free to dive in and start building your own applications today—it's never been easier!
What is Replit Agent?
Can I build any type of application using this method?
Do I need prior coding knowledge to use Replit Agent?
What were the three apps built during the tutorial?
How long did it take to build the three applications?
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