Mental BoundWhat is an AI agent?
An agent is an AI system that pursues a goal on its own: it breaks a task into steps, decides what to do next, calls external tools (databases, APIs, code interpreters, browsers), observes the results, and continues until the job is done. Where a standard LLM conversation is a single question and answer, an agent runs in a loop of reasoning, acting, and observing — that loop is what gives it autonomy.
Agents already handle real work: drafting and sending emails, writing and testing code, researching topics across many sources, managing support tickets, and orchestrating multi-step business processes.
Why do agents need guardrails?
The more autonomy an agent gets, the more important the guardrails: what it may and may not do, when it must ask for confirmation, and how its decisions are audited. Well-designed agents are transparent about their reasoning and defer to a human when needed.