Written By: Ramakrushna
Agentic systems are environments built up of agents and workflows.
Automations or systems where the output is predefined by the LLM and tools. Think of a post product purchase automation. When someone purchases a product maybe you create an automation that sends them an email & their order details.
Automations or systems where the LLM dynamically decides which tools and output is necessary. Think of a customer support agent that has access to tools. These tools could be things like "Creating Support Tickets" or "Pulling in Order History" or even "Issuing Refunds".
Here, there is no one way this automation could go. The agent has to decide which tools to use in order to accomplish requests made by a user.
At their core, AI agents are autonomous systems capable of making decisions, interacting with their environment, and executing tasks based on inputs and goals. Unlike traditional programs that follow predefined instructions, agents can adapt their behaviour using real-time data and learned experiences.
Key Characteristics: