What Is an AI Agent?

    An AI agent is software that takes a goal, decides which steps to take, executes them using tools, and reports the outcome.

    What is an AI agent?

    An AI agent is software that receives a goal rather than a command, decides which steps are required, executes them using the tools it has been given, checks the results, and reports what it did. The defining trait is choosing the sequence — not simply answering a question.

    Key takeaways

    • An agent is given a goal, not a script.
    • It selects and calls tools to make progress.
    • It observes results and adapts the next step.
    • Without tools, an 'agent' is just a chat interface.

    Goal versus command

    A command is 'write a follow-up email.' A goal is 'make sure this customer gets a response today.' The second requires deciding whether to text or email, checking whether someone already replied, and recording the outcome.

    Agents live in the second category, which is why they need access to real information and real actions.

    The loop an agent runs

    • Interpret the goal and the available context.
    • Choose a tool and call it with validated input.
    • Read the result, including failures.
    • Decide whether the goal is met or another step is needed.
    • Stop, and report exactly what was done.

    What makes an agent trustworthy

    Constrained tools, enforced permissions, confirmation before irreversible actions, and a complete record afterwards. Autonomy without those four is not sophistication — it is an unlogged employee with no manager.

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