Agentic AI and You: What Makes AI Agentic?
Dell, Friday, October 16th, 2026
Dell's new series explains the difference between a model and an agent and where agentic AI makes sense.
The first post in Dell's eight-part Agentic AI and You series explains that an LLM is a snapshot of its training data, while an agent works toward a goal in a loop of planning, acting and checking results, combining a model with a harness of tools, memory and routines.
Each loop consumes tokens, which affects costs and whether to run agents in the cloud or on a local AI workstation.
Readers are advised to log repetitive tasks to find candidates for agents.