AI Agents

An AI agent is a system that can understand natural language, make decisions, and take actions to achieve specific goals. AI agents are often powered by large language models (LLMs) and can be used for tasks like answering questions, automating workflows, or engaging in conversations with users.

AI agents work by processing input (like text or voice), reasoning about the user’s intent, and generating a response or performing an action. Many modern AI agents combine LLMs with knowledge bases, memory, and API integrations to provide contextually aware, goal-driven experiences.

While both AI agents and chatbots interact through conversation, AI agents are more advanced and they use reasoning, context, and memory to make decisions, not just follow pre-written scripts. Chatbots typically respond to set rules, whereas AI agents dynamically generate responses using LLMs.

Not necessarily. Many modern platforms provide visual builders and drag-and-drop tools to create AI agents without coding. Developers, however, can extend these agents by connecting APIs or integrating with custom systems for advanced functionality.