Build Real-Time AI Agents with DigitalOcean AI Platform and Serverless Functions

Introduction

In today’s data-driven world, the ability to create AI-powered agents that can retrieve and process real-time information has become increasingly valuable. This is particularly evident in industries such as finance, healthcare, and e-commerce, where timely insights can significantly impact decision-making and customer experiences.

Whether you’re a developer, data scientist, or AI enthusiast, the DigitalOcean AI Platform offers a streamlined solution for building intelligent agents without the need for complex infrastructure. By leveraging the AI Platform, you can focus on creating AI models that drive meaningful interactions and insights, rather than worrying about the underlying infrastructure required to support them.

In this tutorial, we’ll walk through the process of creating an AI agent that can answer questions about your DigitalOcean account by retrieving data from the DigitalOcean API in real-time. The agent will be able to provide information about Droplets (virtual machines), including their IDs, status, and other details.