If you ask a normal AI chatbot something like “what is the weather in Mumbai right now?”, it will probably give you an answer straight away. It might even sound very confident while doing it. But there is an important thing to understand here: if that chatbot does not have access to live weather information, it has not actually checked the weather. It is just generating an answer from the information and patterns available to it. Now take the same question and give the AI access to a weather tool. The interaction becomes completely different. Instead of having to rely on what it already knows, the AI can request the current weather, receive the result and then use that information to answer you. This is basically the point where the difference between a regular chatbot and an AI agent starts to become clear.
A normal AI chatbot is mainly built around one simple interaction: you give it something, and it gives you something back. More specifically, you give it text and it generates text in response. Of course, modern chatbots can do a lot with that text. They can explain difficult topics, help with writing, summarise information, brainstorm ideas and even have surprisingly long conversations where they seem to understand what you are trying to say. But underneath all of that, the basic job is still generating a response from the context it has been given.
