AI Agent

An AI that answers vs. one that finishes the job

A normal AI conversation ends in one round. You type a question, an answer comes back, and it's up to you to decide what to do with it. If the answer misses, there's barely any cost — you just ask again.

An agent goes a step further. Ask it to "read this material, put it into a table, and save it," and it doesn't stop at producing a sentence. It opens the material, pulls out what's needed, and creates the new file — doing the steps a person used to do by hand.

That changes how you judge whether it did well, too. A question-answering AI gets judged on "was that right?" An agent gets judged on "did the job get done?" A sentence that sounds great but never got saved counts as a failure.

Plan, try it, decide again

An agent's way of finishing work has little to do with getting it all right in one pass. It first breaks the job into pieces, tries the first one for real, and only decides the next one after reading the result. That loop is the core of what an agent is.

Things going sideways get handled inside that same loop. If the material it's searching for isn't there, it rewords the search and tries again; if a save fails, it tries again under a different name. The difference is that it picks its own next move without a person spelling out each instruction.

The weak point shows up in the same place. A wrong turn on one step gets built on by every step after it. An agent can pick the wrong material at the start and still confidently finish organizing around it, producing something that looks entirely convincing. The more steps involved, the more places things can go wrong.

It needs hands to move anything

Handing over a goal doesn't make the work happen by itself. An agent needs a way to reach outside itself — a channel to open documents, a channel to run a search, a channel to send an email. Without a single one of these, even the best plan ends as just words.

Whichever tools are attached define what the agent can actually do. With only a calendar connected, it can book time but can't pay for anything. Open too many channels, though, and a single mistake can spread just as widely. It's safer to open only as much as the job needs.

Where it has to stop

What an agent does is a mix of things you can undo and things you can't. Writing a draft costs nothing — delete it if you don't like it. Sending an email, moving money, or deleting a file is different. Once it happens, undoing it takes far more human effort.

That's why a well-built agent stops on its own at these points and asks for confirmation. Whether that one checkpoint exists is what separates an agent you can trust with something from one you can't. A setup that runs straight through without ever checking in should be reserved for things that are easy to undo.

It's also worth keeping a record of what it did and in what order. With that trail, you can trace back to where things went wrong when a result looks off.