Post content
I sat down to write the prompt to generate this article and, as always, the first sentence was both the easiest and the hardest. The easiest because I always have the topic clear before I start. The hardest because of that resistance generated by the blank space where ideas don't yet exist. But as I begin explaining to my assistant in Claude what I want, how I want it, what nuances matter to me, what references to include... something starts changing. Connections begin to emerge, diffuse concepts find form. I'm not giving instructions, I'm thinking. The act of writing the prompt awakens my understanding of the topic itself. And there's the paradox: writing a good prompt isn't just a way to get better responses from AI. It's a way to think better.
When we sit down to write a prompt, the temptation is obvious: three quick lines and wait for the response. Why spend ten minutes crafting a detailed instruction? But this efficiency logic ignores something fundamental: the effort of writing the prompt isn't a cost, it's a cognitive investment.
Let's think about what really happens. When we force ourselves to articulate precisely what we need, what context is relevant, what nuances matter, we're not just improving the AI's output. We're organizing our own thinking. That idea with fuzzy edges has to become concrete words, and in that process of mental translation something happens: what was confusing starts to clarify. Contradictions become visible. Gaps emerge. The simple act of having to explain it with words forces us to understand it better.
But there's something more. The specific words we choose to formulate the prompt aren't neutral. Language actively shapes how we think about the problem. When we describe something as a "user" instead of a "person," when we talk about "optimizing" instead of "improving," we're not simply choosing synonyms. Each word summons different mental frameworks, opens distinct paths of thought. "User" leads us toward the functional and measurable. "Person" pulls us toward the human and complex. They're not interchangeable labels for the same reality, but doors to different realities.
Writing prompts isn't linear, it's cyclical. The language we use shapes our thinking. That refined thinking improves the prompt. The improved prompt transforms our understanding again. It's a feedback loop where each iteration not only improves the AI's response, but expands our cognitive capacity. We're using language as a tool for mental construction. George Orwell warned: clichés and automatic language "will think for you to a certain extent." But the counterpart is powerful: deliberate use of language amplifies our cognitive capacity. Each precise term we master isn't just a communicative tool. It's an instrument of thought, a lens that allows us to see aspects that were previously invisible.
Writing forces decisions: what to include, how to order, what words to use. Each lexical decision activates neural circuits and strengthens synaptic connections.
We live in an era where AI generates text instantly. Why make an effort if the machine can compensate for our imprecisions? But this inverts the hierarchy of values. Writing a detailed prompt isn't valuable just because it improves the output. It's valuable because it transforms the writer. Writing forces us to confront gaps in our understanding, inconsistencies in our reasoning. And the specific language we employ determines what gaps we can detect, what inconsistencies we can articulate. We're developing cognitive frameworks according to the vocabulary of our prompts.
Moreover, writing the complete prompt frees mental resources. Instead of keeping all aspects of the problem in memory while analyzing the output, the prompt functions as external memory. It preserves objectives, context and criteria, allowing us to concentrate on evaluating the quality of what we receive.
The iterative process takes on new dimension when we pay attention to language: Am I using vague terms where I could be specific? Would a different metaphor open new perspectives? With each iteration we improve our capacity to conceptualize problems and articulate them precisely. We develop metacognitive and metalinguistic awareness: reflecting on my thinking and on how my use of language is shaping it.
Slowness isn't a bug, it's a feature. AI's instantaneousness can create the illusion of immediate understanding, but genuine knowledge requires time. It requires neural structures to stabilize, for language to integrate deeply into our cognitive schemas.
Developing rich language for formulating prompts is developing expanded cognitive capacity, a greater range of realities we can perceive and explore.
The next time you write a prompt, resist hurried brevity. Take time. Elaborate. Pay attention to each word. Not just for the output you'll receive, but for the transformation you'll experience. Writing a good prompt isn't a technical skill. It's cognitive cultivation. A way to think better, understand more deeply, build more solid mental architectures.
The effort of writing this prompt has been its own demonstration. It started diffuse, but word by word, thought found form. I didn't just produce a text. I expanded my understanding of how language, thought and writing interweave. That's the promise of reflective writing, even when we write for machines. Because in the end, we don't write for machines. We write through them, for ourselves, to expand the cognitive territories we can explore. And those territories are made, fundamentally, of language.
–
Follow me on LinkedIn to stay updated on new publications.
–
Written with the help of an AI assistant for documentation and trained on my previous texts, among which Language and Reality had relevant weight.