In the video titled “How to Create AI Tools in Less Than 2 Minutes Using H-EDUCATE’s Video,” the presenter provides a simple script that allows viewers to copy and build any AI tool quickly. The video starts by explaining the structure of a basic AI tool, using the example of a blog title generator tool. The process involves the user entering a topic, which is then inserted into a prompt and sent to the open AI API to generate titles. The response is a structured JSON response that can be used to create a user interface for the tool. The video also offers two methods for building the user interface, including using CH GPT and Streamlit or utilizing WordPress. The presenter emphasizes the ease and speed of creating AI tools with the provided script and encourages viewers to explore the potential for monetizing such tools.
In this informative video, the presenter shares a step-by-step process for creating AI tools in under two minutes using H-EDUCATE’s video. The script provided allows users to copy and paste, making it quick and easy to build their own AI tools. The video covers the structure of a basic AI tool, the main challenge faced in tool creation, and a simple solution. The presenter demonstrates how to build a user interface for the tool using methods like CH GPT and Streamlit or WordPress. The video concludes by highlighting the opportunities for monetizing AI tools and offers further resources for learning more about the topic.
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AI Tool Structure
Creating an AI tool may seem complex at first, but it follows a basic structure that can be easily understood and implemented. The structure consists of three main steps: user input, sending input to the OpenAI API, and receiving and processing the API response.
The Main Challenge
One of the main challenges when building an AI tool is ensuring consistent responses from the AI. The OpenAI API generates responses that vary in structure based on the input provided. This inconsistency poses a problem when building user interfaces for AI tools.
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My Simple Solution
To overcome the challenge of inconsistent API responses, I have developed a simple script that can be used as a solution. The script utilizes function chaining and function calling techniques to ensure consistent and structured JSON responses from the AI.
Build a UI For the tool (Method 1)
To build a user interface for an AI tool, one approach is to use ChatGPT and Streamlit. By using Streamlit, a Python library for building interactive web apps, you can easily convert a simple script into a full-fledged user interface. The Power Prompt feature in ChatGPT allows for step-by-step conversion of the script into a user interface. The code for the UI can be copied and pasted into a new file, which can then be run using Streamlit.
Build UI With WordPress
Another method to build a user interface for an AI tool is by utilizing WordPress. With WordPress, you can turn your website into a software-as-a-service (SaaS) platform. By integrating a point system, you can monetize your AI tools and allow users to purchase points to access and use the tools. A full guide on how to turn a WordPress website into a SaaS platform is available, providing step-by-step instructions.
Understanding the Structure of a Basic AI Tool
A basic AI tool follows a specific structure that involves user input, sending that input to the AI model, and processing the model’s response. The user provides input, such as a topic or query, which is then inserted into a prompt. The prompt is sent to the OpenAI API, where the AI model generates a response. The response is received in a structured JSON format, allowing for easy processing and presentation of the output.
Step 1: User Input
The first step in building an AI tool is to collect user input. This input can vary depending on the specific tool being developed. In the case of the example tool mentioned earlier, the user would enter a topic or query into a designated input box.
Step 2: Sending Input to OpenAI API
Once the user input is collected, it is inserted into a prompt. The prompt serves as the input for the OpenAI API, which processes the prompt and generates a response. The prompt can be constructed to include specific instructions or formatting guidelines for the AI model.
Step 3: Receiving and Processing API Response
After sending the input prompt to the OpenAI API, a response is received in a structured JSON format. This response contains the output generated by the AI model. The JSON response can be easily processed and parsed to extract the relevant information and present it in a user-friendly manner.
Conclusion
Building AI tools may seem daunting, but with the right approach and understanding of the tool structure, it can be achievable in a short amount of time. By following the steps outlined in this article and utilizing methods like ChatGPT and Streamlit or WordPress, you can create AI tools that are user-friendly, consistent, and monetizable. With the growing demand for AI tools, mastering their development can open up new opportunities for freelancing or entrepreneurship in this emerging field.
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