An AI system that does more than reply: it plans, takes multiple steps and uses tools to accomplish a defined goal.
An AI agent combines a language model, a set of tools and a working loop. It understands the goal, breaks it into steps, carries out each step with a suitable tool such as search, writing a file or running a test, then reviews the result and decides what to do next. Unlike a plain chatbot, it acts rather than just answers.
In software building, an agent can plan an app, write the code, run tests, fix bugs and deploy a version. That is what the Fanann Agent does. But autonomy means an agent needs clear boundaries, carefully scoped permissions and human review for important decisions. Practical tip: give the agent a clear goal and a measurable definition of done, such as mada payments must work in the test environment. On large tasks, review its plan before it executes; correcting direction early is far cheaper.