Stop Building Chatbots. Start Building AI Agents That Actually Work.

Author(s): Code Experts Originally published on Towards AI. Stop Building Chatbots. Start Building AI Agents That Actually Work. The landscape of artificial intelligence is rapidly evolving beyond simple chatbots and question-answering systems. Enter AI agents — autonomous systems that can perceive their environment, make decisions, and take actions to achieve specific goals. In this blog series, we’ll explore how to build these intelligent agents using the Agno framework. AI agents are systems that go beyond passive information retrieval. Unlike traditional AI applications that simply respond to queries, agents can plan and execute multi-step tasks autonomously, use tools like web search, calculators, APIs, and databases, maintain context across conversations and actions, make decisions based on changing circumstances, and learn from feedback to improve over time.This article elaborates on the development and functions of AI agents, explaining their capabilities compared to traditional AI systems. It details practical examples and showcases the Agno framework, emphasizing how it simplifies the process of building robust, flexible AI agents. Through various scenarios like data analysis and DevOps automation, readers gain insight into the real-world applications of agentic technology and the methodologies involved in their creation and deployment. Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor. Published via Towards AI