(Not Just Hype!) Build a Multi-Agent AI App with Just Prompts? Watch Live—A Real Backend & Slick UI
Science & Technology
Introduction
In this live coding session, I set out to build a multi-agent AI application using F Data, an innovative library for creating agentic frameworks. The goal was to demonstrate how easy it is to develop intelligent applications with a real backend and a polished user interface in just under an hour.
Introduction to Multi-Agent Systems
Multi-agent systems involve intelligent programs, known as agents, that collaborate to accomplish tasks efficiently. In my previous video, I explored creating multi-agent systems with the SWA (Swarm) framework. Today, I’m diving into F Data, which simplifies the process significantly. F Data allows easy definition and management of agents, enabling them to work together seamlessly.
Getting Started with F Data
Before diving into the code, I reviewed the F Data documentation. It provides several built-in tools, such as:
- Hacker News tool: Retrieve trending stories.
- DuckDuckGo tool: Web searches.
- CSV tool: Handle CSV files.
- PDF tool: Manage PDF documents.
After familiarizing myself with the tools, I decided to build a multi-agent system that retrieves articles from Hacker News and summarizes them.
Building the App with Data Button
I used Data Button, an AI app builder, to streamline this process. After initializing Data Button, I created a backend with F Data, focusing on the teams of agents that would work collaboratively. The setup process began with generating a basic application structure.
Defining the Agent Team
In my project, an agent named "Hacker News Researcher" retrieves trending articles, while a "Web Researcher" and an "Article Reader" work together to process and summarize the information. This collaboration exemplifies how different agents can interact and perform tasks separately and intelligently.
Implementing the Backend
I quickly ran into some errors while implementing the backend, which I fixed by instructing Data Button to install necessary packages, such as DuckDuckGo and Newspaper API. This dynamic error handling illustrates how Data Button anticipates needs and resolves issues seamlessly.
With the backend in place, I began integrating it with the frontend. Initially, I focused on simplifying user interaction by creating a user-friendly interface where people could input queries and receive responses from our team of agents.
Enhancing the User Interface
After successfully implementing the backend functionalities, I worked on improving the UI. The original component needed refinement, so I transformed the chat interaction into a more visually appealing chat bubble format. I also planned to add a landing page to highlight the features of the multi-agent system. This would enhance the overall presentation and make it suitable for potential users or clients.
Adding Features and Pricing Information
I then instructed Data Button to create a sleek pricing page and feature summary. By emphasizing the solution's value proposition, we could attract users interested in utilizing the multi-agent capabilities.
Final Demo and Conclusion
At the end of this live session, I deployed the app successfully, showcasing a functional multi-agent system available for anyone to test and interact with. Demonstrating how rapidly an AI application can be developed with a few prompts emphasizes the potential of using F Data and Data Button to streamline app development with machine learning.
Final Thoughts
This live coding experience showcased not only the ease of building a multi-agent AI app but also how we can leverage robust frameworks like F Data and Data Button. By focusing on prompt-based development, app creation becomes accessible, even for those with minimal coding experience.
Keywords
- Multi-agent systems
- F Data
- Hacker News tool
- DuckDuckGo
- Data Button
- User Interface
- AI app development
FAQ
Q1: What is F Data?
A1: F Data is a library for building multi-agent systems that allows easy definition and management of agents.
Q2: What tools are available in F Data?
A2: F Data offers several built-in tools, including Hacker News, DuckDuckGo, and CSV management tools.
Q3: What is Data Button?
A3: Data Button is an AI app builder that streamlines the development of applications with real backends and frontend capabilities.
Q4: Can I use Data Button for other types of apps?
A4: Yes, Data Button is versatile and can be adapted to create various applications, not limited to multi-agent systems.
Q5: How does the app deployment process work?
A5: Data Button allows users to deploy their applications seamlessly, integrating both the backend and frontend components.