AI Agents
Agents are systems that act, not just answer: they call tools, follow steps and carry a task through to the result. These articles cover how they work and which tasks make them pay off.
What Is a Tool, and Why Does a Language Model Need One
A tool is an external action the model requests from the system: a search, a calculation, a write. The model names the tool and fills in the fields; the program does the rest.
Tool calling: what it means in plain terms
Tool calling is a model's ability to reach external programs mid-conversation: to search a database, check stock levels, or open a support ticket.
What Agentic AI Is and Where It Pays Off Fastest
Agentic AI is a system that carries a multi-step task through to the end on its own: it decides what to do next, calls the services it needs, and delivers the result.
What Is an AI Agent, and How Does It Differ from a Chatbot
An AI agent is a program built on a language model that receives a goal stated in plain words, chooses its own steps, calls the tools it needs, and carries the task through to a result.
AI agent in six weeks: where to start and when it pays off
Breaking a process down step by step delivers a first working version in six weeks. Four conditions for an agent to pay off, and the checks that confirm them in two days.