Create Secure ChatGPT Apps Quickly!

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Table of Contents

  1. Introduction
  2. Building an Application for Substack
  3. The Substack Article
  4. Creating a Custom Instance of Chat GPT
  5. Prototype of a Landing Page
  6. Inputting the Prompt and Website URL
  7. Asking Questions and Summarizing Blog Posts
  8. Customizing the AI Assistant
  9. Programmatically Creating Applications
  10. Creating a Flask App for Substack

Introduction

In this article, we will explore how to build an application for Substack using the AI capabilities of Chat GPT. Substack allows users to Create custom instances of Chat GPT for their articles, providing an interactive chat-like experience. We will walk through the process step by step, starting with a simple prototype for a landing page. By the end, You will be able to programmatically create applications for different Substack blog posts.

Building an Application for Substack

To begin building an application for Substack, we first need to create a template. This template will define the prompt and other configuration settings for the application. We will use Python to make API requests to create the template and the subsequent application instances. The template will be stored on the Betty server for future use.

The Substack Article

The Substack article serves as the content for which we want to create a custom instance of Chat GPT. The goal is to provide a chat-like experience to end users as they Interact with the article. By creating applications for different Substack blog posts, we can customize the AI assistant to answer questions and provide summaries Based on the specific content.

Creating a Custom Instance of Chat GPT

To create a custom instance of Chat GPT for a Substack article, we input the desired prompt and the website URL of the article. This information is used to build the application and configure the AI assistant. Once the application is created, we can ask questions and request summaries from the AI assistant, which will respond based on the specific Substack article.

Prototype of a Landing Page

Before diving into the technical details, let's create a prototype for a landing page. This landing page will help us Visualize what We Are trying to build and better understand the end result. We will use the landing page to experiment with different Prompts and see the output from the AI assistant.

Inputting the Prompt and Website URL

Once we have our landing page prototype, we can start inputting the prompt and website URL. The prompt should clearly define the purpose of the AI assistant and set the expectations for the user. The website URL will be used to extract the content of the Substack article and provide the Context for the AI assistant.

Asking Questions and Summarizing Blog Posts

After configuring the AI assistant with the prompt and website URL, we can start asking questions and requesting summaries from the assistant. The AI assistant will use its chat-like capabilities to provide answers based on the content of the Substack article. We can experiment with different questions and evaluate the accuracy and relevance of the responses.

Customizing the AI Assistant

To make the AI assistant more engaging and interactive, we can customize its responses to Resemble certain characters or personas. For example, we can make the assistant respond as if it were Saul Goodman from Breaking Bad. This customization adds a fun element to the user experience and can make the interaction more enjoyable.

Programmatically Creating Applications

Once we have tested the functionality and customization of the AI assistant, we can move on to programmatically creating these applications. This allows for efficient creation of multiple instances of the AI assistant for different Substack articles. We will use Python to interact with the Betty API and automate the process of creating applications based on user input.

Creating a Flask App for Substack

To deploy and share the created applications, we can create a Flask app. A Flask app provides a web interface for users to input their Substack article URLs and interact with the customized AI assistant. By using the Flask framework, we can create a user-friendly interface that simplifies the process of creating applications and enhances the overall user experience.


Article:

Building an Application for Substack using Chat GPT

If you are a Substack user and want to enhance the user experience for your articles, you can build a custom application using Chat GPT. Chat GPT allows you to create an AI assistant that answers questions and summarizes your Substack blog posts. In this article, we will guide you through the process of building an application for Substack step by step.

Introduction

As a Substack user, you are already familiar with the benefits of the platform in terms of publishing and monetizing your content. However, by building an application for Substack using Chat GPT, you can take your articles to the next level. With a custom AI assistant, your readers will have an interactive chat-like experience as they engage with your content.

Building a Prototype Landing Page

Before diving into the technical details, let's start by building a prototype landing page. This landing page will help us visualize the end result and experiment with different prompts and configurations. By creating a prototype, we can better understand the user experience and fine-tune the AI assistant's responses.

Configuring the AI Assistant

Once we have our prototype landing page, we can start configuring the AI assistant. This involves inputting the prompt and the website URL of your Substack article. The prompt should clearly define the purpose of the AI assistant and the type of questions it can answer. The website URL will serve as the source of the content for the AI assistant.

Asking Questions and Requesting Summaries

With the AI assistant configured, we can now start asking questions and requesting summaries. The AI assistant will analyze the content of the Substack article and provide Relevant answers and summaries. You can experiment with different types of questions and evaluate the AI assistant's accuracy and relevance.

Customizing the AI Assistant

To make the AI assistant more engaging and unique, you can customize its responses to resemble certain characters or personas. For example, you can make the AI assistant respond as if it were Saul Goodman from Breaking Bad. This customization adds a fun element to the user experience and makes the interaction more enjoyable.

Programmatically Creating Applications

Once you are satisfied with the performance and customization of the AI assistant, you can move on to programmatically creating applications. This allows you to create multiple instances of the AI assistant for different Substack articles efficiently. Using Python and the Betty API, you can automate the process and streamline the creation of applications based on user input.

Creating a Flask App for Substack

To deploy and share the created applications, you can create a Flask app. A Flask app provides a user-friendly web interface for users to input their Substack article URLs and interact with the customized AI assistant. By using the Flask framework, you can create a seamless and intuitive user experience, enhancing the overall accessibility of your applications.


Highlights:

  • Building an application for Substack using Chat GPT
  • Enhancing the user experience for Substack articles
  • Creating a prototype landing page to visualize the end result
  • Configuring the AI assistant with a prompt and website URL
  • Asking questions and requesting summaries from the AI assistant
  • Customizing the AI assistant to add a fun and unique touch
  • Programmatically creating applications for different Substack articles
  • Streamlining the creation process using Python and the Betty API
  • Creating a Flask app to deploy and share the applications
  • Enhancing user accessibility and interaction through the Flask framework

FAQ:

Q: Can I use the AI assistant for Substack articles behind a paywall? A: Yes, you can provide your access token for the paywalled Substack articles and create applications that can read and interact with the content.

Q: Can I customize the prompt and responses of the AI assistant for my Substack articles? A: Absolutely! You can tailor the prompt to match the specific context of your Substack articles and even customize the AI assistant's responses to resemble certain personas or characters.

Q: Is it possible to create multiple instances of the AI assistant for different Substack articles? A: Yes, by using the Betty API and programmatically creating applications, you can efficiently create multiple instances of the AI assistant for different Substack articles based on user input.

Q: How can I deploy and share the created applications for Substack? A: You can create a Flask app that provides a user-friendly web interface for users to input their Substack article URLs and interact with the customized AI assistant. The Flask app simplifies the deployment and sharing process, making it accessible to a wider audience.

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