The tutorial from AI Grid teaches viewers how to create an AI agent-based application using the OnDemand platform, guiding them through selecting an agent, integrating it into a personal application, and utilizing a simple Python framework called Streamlit. The presenter emphasizes the platform’s accessibility for both beginners and experienced developers, showcasing the ease of retrieving product information from Amazon through the completed application.
In the tutorial from AI Grid, the presenter guides viewers through a straightforward three-step process to create an AI agent-based application using the OnDemand platform. The tutorial is designed for a wide audience, from beginners with no coding experience to seasoned software engineers. The focus is on building an application that utilizes AI agents, specifically highlighting the ease of use and accessibility of the OnDemand platform.
The first step involves navigating to the OnDemand platform’s agent marketplace to select an agent. The presenter chooses the Amazon shopping agent plugin as an example. After adding the agent to the playground, the tutorial demonstrates how to interact with it by posing a query about Adidas shoes within a specified price range. The agent quickly retrieves relevant data from the UK version of the Amazon website, showcasing its efficiency and the ability to provide location-specific results.
Next, the tutorial transitions to integrating the agent into a personal application. The presenter emphasizes that even those with minimal technical skills can accomplish this task in just a few minutes. After testing the agent in the playground, users can generate the necessary code for their application by selecting their preferred programming language, such as Python. The tutorial highlights the importance of obtaining an API key and organization ID, which are essential for the application to function correctly.
The presenter then explains how to use the generated code within a simple Python framework called Streamlit, which allows for the creation of web applications. Users are guided through the process of running the application, including pasting their API key and organization ID into the appropriate fields. The tutorial reassures viewers that they can seek help from GPT-4 if they encounter any difficulties, making the process even more accessible for beginners.
Finally, the tutorial concludes with a demonstration of the completed application, where users can submit queries to retrieve product information from Amazon. The presenter showcases the application’s functionality by changing price parameters and successfully retrieving a list of Adidas shoes within the specified range. The ease of use and intuitive interface of the OnDemand platform is emphasized throughout, encouraging viewers to explore the potential of AI agents in their own projects. The presenter invites questions and expresses gratitude to OnDemand for sponsoring the video, highlighting the platform’s user-friendly design.
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00:00 - Introduction to the AI agent-based application tutorial
00:19 - Navigating to the agent marketplace
00:44 - Adding the Amazon Shopping Agent plugin
01:03 - Testing the agent in the playground
02:35 - Generating code for the application
03:36 - Getting API key and organization ID
04:36 - Setting up the development environment (using Streamlit)
05:35 - Running the application
06:52 - Submitting a query in the custom application
07:45 - Demonstration of results and conclusion
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Links From Todays Video:
Code - GitHub - amrrs/amazon_agent
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