Build a Full-Stack AI Web App in 12 Minutes: Cursor, OpenAI o1, V0, Firecrawl & Patched

Introduction

In today's fast-paced tech world, leveraging powerful AI tools to streamline development is more imperative than ever. Inspired by a viral tweet about the potential obsolescence of traditional consulting, I decided to create a web application that generates consulting reports. In this article, I will walk you through building a consultant report generator using some of the latest tools available, including OpenAI's new O1 model, Cursor, Firecrawl, and Patched.

Step 1: Setting Up Your Development Environment

To begin, we will utilize OpenAI's O1 model. This first Frontiers model uniquely processes instructions and derives logical conclusions. Additionally, we'll incorporate Firecrawl, which enables us to recursively crawl a website based on a URL provided by the user.

Firecrawl allows us to specify the number of pages we want to crawl. The output is returned in Markdown, which is a succinct format that can easily be processed by language models. We will also leverage Cursor for a smoother development process and Patched to automate code reviews and documentation.

The first task is to create a React component for the consultant report generator. We will use TipTab, including a button to randomize sample reports and fields for inputting a URL and instructions. TipTab serves as a lightweight alternative to Google Docs or Microsoft Word, enabling seamless document creation and management.

Step 2: Creating the Basic Application

After generating the random report component with TipTab, we’ll integrate inputs for a URL and instructions, as well as a submit button for user interactions. All this should be coded in Next.js.

1. Initialize a Next.js Project: Using bun create next, set up a new project.
2. Setting Up Styles: Execute bun add for ShadCN styles to ensure consistent design elements throughout the app.
3. Development Server: Start the development server and modify the homepage by removing default content and inserting our TipTab component.

Now that we have our app set up, we will establish a route that returns HTML upon form submission, allowing users to generate reports dynamically.

Step 3: Implementing the Report Generation Feature

Next, we’ll implement functionalities that enable the application to crawl web pages and utilize the OpenAI model to generate HTML reports based on the crawled content.

1. Crawling the Provided URL: Use Firecrawl to scrape data from the specified URL and format the output for the language model.
2. Sending Requests to OpenAI: Construct a function that sends the crawled data and user instructions to the OpenAI O1 model. This will generate a formatted report based on the content.
3. Updating User Interface: Implement a loading state during the report generation, providing users feedback as they wait.

After integrating these features, you can demonstrate the report generation by inputting a URL and viewing the customized report.

Step 4: Styling and Finalizing the Application

To improve the appearance of the generated reports, apply global styles to the basic HTML elements that our app creates. You can achieve this by either developing custom CSS or importing styles from TipTab’s documentation.

Now that the styles are applied, it's time to set up our GitHub repository. We will publish the app and utilize Patched to generate a comprehensive README file that outlines the app's functionalities, setup instructions, and deployment options.

Step 5: Deploying the Application

Finally, we’ll deploy our application to Vercel. Create a new project, set the environment variables as needed, and watch your application become accessible worldwide.

This workflow highlights how efficiently we can go from idea to a fully operational web app by utilizing modern tools available today. With innovations like OpenAI’s O1 model, Cursor, Firecrawl, and Patched, developers have more capabilities than ever to bring their ideas to life.

In conclusion, this rapid development process showcases the exciting potential of combining AI with web development. It's a great time to dive deeper into these tools and bring your projects to fruition.

Keyword

Keywords: AI web app, Cursor, OpenAI o1, V0, Firecrawl, Patched, consulting report generator, Next.js, React component, URL crawling, HTML generation, application deployment.

FAQ

What is the purpose of the AI consulting report generator?

The AI consulting report generator allows users to input a URL and custom instructions to generate consulting reports dynamically.

What technologies are used in this project?

The project leverages OpenAI's O1 model, Firecrawl for web scraping, Cursor for development, and Patched for code automation and documentation.

How do I deploy the application?

You can deploy the application to Vercel by creating a new project and ensuring to set the required environment variables.

Is it difficult to set up the development environment?

No, setting up the environment is straightforward through the use of tools like Next.js and easy installation commands for the necessary packages.

Can I customize the generated reports?

Yes, users can provide specific instructions along with the URL to customize the content and format of the generated reports.