Quickstart
Last updated
Last updated
What is an AI Agent?
An AI agent is a software program or entity that operates autonomously to perform specific tasks or solve problems. It is designed to perceive its environment, process inputs, and take actions to achieve predefined goals or objectives. AI agents can range from simple rule-based systems to advanced, machine-learning-powered entities capable of adaptive decision-making. They often integrate capabilities such as natural language understanding, data analysis, and decision automation to interact with users or systems in a dynamic, context-aware manner. AI agents are commonly used in applications like virtual assistants, recommendation systems, autonomous vehicles, and customer service chatbots.
What is an Agentic Workflow?
An agentic workflow is a structured process that incorporates AI agents as key actors in completing tasks or managing workflows. In this context, agents take on roles traditionally performed by humans, autonomously executing tasks based on predefined rules, objectives, or learned behaviors. Agentic workflows allow for seamless automation of complex, multi-step processes by enabling agents to collaborate with each other, interact with human stakeholders, and adapt to changes in the environment. This approach enhances efficiency, scalability, and accuracy, making it ideal for industries such as supply chain management, software development, and customer support, where repetitive or high-volume tasks can benefit from intelligent automation.
