AI agents at work: what they do, and how to keep them on track

An AI agent takes a goal and works through the steps on its own: it reads, decides, uses tools and reports back. That makes it useful for longer jobs, and it makes clear instructions and limits matter more than they do in a quick chat.

These guides are for people who manage the work rather than build the agent. They cover good uses and poor ones, how to describe a task so an agent can finish it, which decisions should stay with a person, and how to check what an agent actually did.

fenbs gives agents a place to take work from and report to: tasks with plans, Decisions and rules they must follow, and History showing every change, with people keeping the final say on what is decided and approved.