

Word learning: because knowing how to use words is the real key skill in the AI โโera.
The description of an image through language is an ancient art, which has its roots in the need to describe the world without immediate visual means. In the 19th century, explorers, travelers and writers used words to convey scenes, landscapes, emotions and details that today we capture with a simple click. That ability totranslate reality or imagination into wordsseemed destined to become obsolete with the advent of photography and then digital, but today, surprisingly, it returns to the center of attention thanks to a new challenge: thePrompt engineering, an emerging discipline that requires the ability to communicate withArtificial Intelligence (AI)to generate synthetic images.
Despite the technological leap, the challenges remain the same: being able to evoke with words what cannot be touched or seen directly. Whether describing an exotic city visited two centuries ago or giving instructions to an algorithm, language is the bridge between experience and image. This continuity demonstrates not only the timeless power of language, but also its centrality in defining who we are as human beings.
The description of images in the nineteenth century:words instead of brushes and lenses
In19th century, the world was still a place to be discovered, a mosaic of cultures, landscapes and stories that few could know first-hand. Travelers of the time, without immediate visual tools such as cameras, relied on writing to document their experiences.The detailed descriptionbecame a tool for immortalizing a moment, but also for transmitting emotions, colors and atmospheres.
Let's think about writers likeJohann Wolfgang von Goethe,who on his trip to Italy used words to paint the charm of Roman ruins and the Italian countryside. Or even the diaries ofCharles Darwin, who in his travel notes on board the Beagle not only described the biological characteristics of the species observed, but also the breathtaking landscapes of the lands explored. Lacking visual imagery, these tales weredetailed mind mapswhich invited the reader to 'see' with the writer's eyes.
But describing was not just a matter of accuracy. It was also a question of style, of evocative capacity, of knowing how to capture the essence of what was observed. An effective description didn't just say: โA red sunset over the seaโ; it had to add detail, emotion and context. โA fiery sunset that colors the sea waves a dark red, while the horizon dissolves into a faint golden haze.โ
This skill required onedeep knowledge of language, a solid culture, lexical richness and a sensitivity to the rhythm and structure of sentences. Not all travelers were writers, and not all descriptions were memorable. Only those who mastered the art of the word could make a landscape eternal.
The engineering promptto guide Artificial Intelligence
Now let's move on to the present. The advent ofGenerative Artificial Intelligence(AI Gen) opened up new possibilities for image creation, but it also introduced an unexpected challenge: how to communicate with machines? ThePrompt engineeringis the practice of writing detailed, specific commands to guide an AI model to create images, text, or other forms of output.
Aprompteffectiveis a linguistic exercise as much as it was the description of a nineteenth-century traveller. A simple โdog running in the parkโ could generate a generic and uninteresting image. But by adding details โ โa golden retriever running joyfully on a green lawn under a sunset sky, with autumn leaves falling aroundโ โ you get something much closer to the original intention.
Like travelers of the past, Prompt engineers must be acute observers, capable of clearly imagining what they want to communicate and translating it into precise words. They must master not only common language, but also a specific metalanguage that AI can understand. For example, a prompt might include technical details such as camera angles, color tones, and art styles.
Language as an art and tool
Whether it is a question of describing a real landscape or imagining a synthetic figure, language is both a tool andan art. It's not enough to have a large vocabulary; you also need an intuitive ability to combine words, to evoke emotions and to anticipate how the recipient (be it a human reader or an algorithm) will interpret the message.
The qualities necessary to describe an image with words are: lexical richness, precision, clarity, creativity and synthesis. It is indeed necessary to have avaried vocabularyto avoid repetition and capture nuance and you must have the ability to use specific and accurate terms (for example, distinguishing between emerald green and olive green). The sentences must be structured in a logical way to facilitate understanding and knowing how to play with metaphors and similes helps to make the description more vivid. However, you need to know how to include only the essential details without overwhelming the reader or the AI.
A skill that returns
The ability to describe with ownership seemed to belong to a distant past, superseded by the advent of photography and, later, cell phones and social media. But today, in the digital and AI era, this skill is back in the news. The language property is againcrucial:not only to communicate with machines, but also to stand out in a world saturated with mediocre content.
We can think of language as an invisible thread that passes through time. In the nineteenth century, that thread tied the traveler to his reader. Today, connect the Prompt engineer to AI. Technology changes, but the need to translate visions into words remains unchanged.
A little less engineers, a little more writers?
Finally, a reflection on the future of skills. We live in an era where education and work seem to favor technical and engineering skills. But Prompt engineering, like other emerging disciplines, demonstrates thathumanistic skillsโ the ability to write, imagine and communicate โare more relevant than ever. Perhaps the future does not belong only to engineers, but also to men of letters, poets and storytellers. In a world where machines can do almost anything, what sets us apart is our ability to tell stories.
The word, therefore, is not just a means of describing the world, but a tool for shaping it. Whether it is a 19th century traveler or a 21st century Prompt engineer, those who master language have the power to create images that last over time. And in this, technology only reminds us how human we are.