Build Your Own AI Text Improver Agent in 5 Minutes

You've likely heard the buzz around AI agents, but finding clear, practical instructions on how to build one can be surprisingly difficult. In this article, we'll cut through the noise and build a functional agent from the ground up, step by step.

Our project for today is a text-improving agent complete with a Python API and a simple HTML user interface. This agent is designed to run entirely offline on your local machine. However, you can enhance its capabilities by adding an OpenAI key, giving it a significant intelligence boost. The user interface remains consistent, whether you're running it locally or deploying it online—the switch is as simple as changing a single URL.

When we switch to the online mode, the AI processes the text and returns a cleaner, sharper sentence.

How Does It All Work?

So, what's happening behind the scenes? Let's break down the architecture.

The system consists of two main components. First, a simple HTML page serves as the front end. This is where you input your text. When you click the 'Improve' button, a request containing your text is sent to a local Python service.

The Python service has two modes of operation:

  • Offline Mode: It uses a set of predefined rules to perform basic text cleanup without needing an internet connection.
  • Online Mode: It forwards the text to the OpenAI API, leveraging a powerful language model to provide more sophisticated improvements.

The HTML Front End

The HTML structure is minimal, containing just the essentials: a text area for input, a button to trigger the action, and a small JavaScript snippet to handle the communication.

Here is a basic example of the HTML code: ```html <!DOCTYPE html> Text Improver


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