AI, LLM and AI Agent: they are not all the same thing

Everyone uses these three terms as if they were synonyms. They are not.

Once you understand the difference between Artificial Intelligence, LLM and AI Agent, you stop buying promises and start evaluating what the vendor actually delivers. They are three things that nest inside one another.

Artificial Intelligence: the whole field. It is the umbrella: the area studying how to make machines perform tasks that would require human intelligence. Even the old "press 1" chatbot is a primitive rule-based AI. Saying software "has AI" says almost nothing.

LLM: the language engine. A Large Language Model is a specific type of AI trained on massive amounts of text (Claude, GPT). But an LLM alone does nothing but reason over text: it does not know your company, cannot access your data, does not remember the conversation. It is a powerful engine, but an engine is not a car.

AI Agent: the complete worker. It is the car built around the engine: it uses the LLM as a brain and adds knowledge of your company (RAG), context memory, real-world actions (route, open a ticket, hand off with history) and the ability to decide. The LLM understands; the agent understands and acts.

The relationship nests like Russian dolls: AI is the field, the LLM is the reasoning piece, the Agent is the application built on top. The question that separates wheat from chaff: do you have an AI agent with knowledge of your company and the ability to act, or just a generic model? That is exactly what GoSeny delivers.