For example, they can determine the most appropriate response to a customer query based on past interactions and the current context. This decision-making process is enhanced by the agent's ability to learn from previous experiences and refine its responses over time. Action execution: Once a ...
For example, they can determine the most appropriate response to a customer query based on past interactions and the current context. This decision-making process is enhanced by the agent's ability to learn from previous experiences and refine its responses over time. Action execution: Once a ...
An AI agent is a sophisticated software program designed to employ artificial intelligence (AI) techniques to perform a wide range of tasks autonomously, make informed decisions, and engage with its environment. They are designed to achieve specific objectives by processing various inputs, applying re...
A good example is a customer service AI agent. When a customer inquiring about an order asks, “Where’s my stuff?” the agent forms its response by checking with the order processing system, querying the shipping carrier’s tracking system via an API, and gathering information on potential ...
Essentially, this “chain of logic” is the thought process that AI agents use to make decisions and execute plans to reach the desired outcome. For example, if tasked with planning a trip to Paris, an AI agent would analyze the task and deconstruct the goal into a sequence of subtasks:...
While there are developer-grade frameworks to build this—Microsoft's AutoGen is an example—there aren't viable no-code platforms to implement this. But since there's still so much to discover in single-agent systems, it's still too early to jump in. How does an AI agent work? Traditio...
Act: By integrating with external tools and software via application programming interfaces, agentic AI can quickly execute tasks based on the plans it has formulated. Guardrails can be built into AI agents to help ensure they execute tasks correctly. For example, a customer service AI agent may...
Any AI agent needs an identity, a mission, and goals. Why does it exist? What is it going to accomplish and how is it going to achieve it? Take an example: the first-line of defense for a customer service team at an IT support company. The goal of this AI agent might be to corr...
and continuous learning to respond to questions and perform tasks. A good example is a customer service AI agent. When a customer inquiring about an order asks, “Where’s my stuff?” the agent forms its response by checking with the order processing system, querying the shipping carrier’s ...
AI agentsare the foundational elements of agentic AI architecture, driving the future of intelligent automation. At its heart, agentic AI is about seamlessly integrating specialized agents, each designed for a unique purpose. Agent assistenables agents capable of efficiently handle their day-to-day ta...