What an agent actually is

Separate the real idea from the marketing around it.

Strip away the excitement and an agent is a small, understandable thing.

So far your automations follow steps you wrote. An agent is an automation where a model decides which step to take next. You give it a goal and a set of things it is allowed to do; it chooses among them, looks at the result, and chooses again until it is done or you stop it.

That is the whole idea:

goal + available tools + a loop

A worked example. Goal: answer this student's enquiry.

Available tools: look up a course fee, check batch dates, create a lead, send a reply.

The model reads the enquiry, decides it needs the fee, calls that tool, reads the answer, decides it now has enough, and writes the reply.

Nothing mystical. A loop, a decision each time round, and a list of permitted actions.

Why it is genuinely useful: when the sequence cannot be known in advance. A fixed automation must anticipate every path. An agent handles the enquiry it was not designed for.

Why it is dangerous, and this is the whole course: the thing choosing the steps is the same system from AI Fundamentals — the one that produces plausible output with no signal for 'I am unsure', and that will state something false with complete confidence.

Give that thing a set of tools and it can now act on a wrong conclusion. A confident mistake stops being a bad sentence and becomes a bad action — a message sent, a record changed, money moved.

So the discipline in this course is not how to build one. It is what to let one touch.

Try it yourself

Write down a task at a business you know where the steps genuinely cannot be known in advance. Then list what tools an agent would need. Then, for each tool, write what the worst outcome would be if it were used wrongly.

Check what you learned

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