Which Decisions Should We Hand Over When Making Content with Artificial Intelligence?

In making content with artificial intelligence, the gain noticed most easily is speed. In a short time we can get headlines, visual alternatives, and drafts of text. What I care about more is how we decide among these options.

Imagine we are producing a visual for an architectural project. At first glance we may get a striking result: the light is balanced, the materials are appealing, the composition is strong. On a second look, though, we may notice that a window proportion has changed, a fixed piece of furniture looks different, or a detail that is not in the space has been added.

An output that succeeds visually may not be suitable for communicating the project.

This is where the importance of the brief becomes clear. The request “make this space look more striking” and the request “improve the light and the atmosphere while keeping the architecture” do not carry the same criteria. If we do not set which elements may change, we start choosing the result by taste alone.

The same thing happens in text. A fluent description can step outside the service the brand actually offers. A headline that looks strong can put forward a feature the project does not have.

That is why I think about working with artificial intelligence through three decisions: What are we trying to solve? Which information and features must be kept? By what standard will we accept the output?

Once these questions are answered, handing over the production becomes easier. Work such as developing alternatives, shortening the text, or trying different compositions moves inside a clearer frame. The final check also leaves the question “does it look good?” It can be made through accuracy, fit with the brand, and the purpose of use.

For me, the value of artificial intelligence is not that it takes on every decision. It is that it makes the options visible faster.

To benefit from this speed, we have to take seriously the responsibility of describing the work and judging the result. Because the published content is accounted for by us, not by the tool we used.