It is about the precise, reflective, creative use of language in dialogue with AI. It is about a new practice of thinking and formulating that is both a tool and a method of cognition: deep prompting.
Deep prompting is not intended to be an efficient means of producing quick results, but rather to open up emergent spaces for thought and resonance. Not writing so that the machine responds. But writing to challenge the machine. To find out what can be thought and said in the first place through a genuine dialogue with AI. Every prompt becomes a test field, every answer a follow-up – an infinitely large space for resonance with an infinite number of doors leading to new spaces for resonance. Errors, ambivalences, breaks, and even hallucinations serve as valuable raw material for new thoughts and discourse loops.
From natural language to transparent thinking
Deep Prompting works exclusively with natural language – no codes, no shortcuts, no hacks, no tricks. Instead, it uses lively, transparent, and form-conscious language with a clear tone and an open-minded style. Those who prompt like a machine will only receive machine-like answers. Those who speak in bullet points will only hear bullet points. Those who sow meaning will reap meaning. The quality of the language determines the quality of the thinking space. And thus also the quality of the response.
Natural language does not mean simple language. On the contrary: the more thoughtful, fluid, and tonally consistent the language, the higher its connection value – for both humans and machines. Deep prompting avoids technocratic clichés as well as intellectualized awkwardness. It seeks language that is open to ambiguity without being unclear. That is precise without seeming rigid. That is connectable without being ingratiating. The language of deep prompting creates resonance – not friction loss.
From cultural technique to cooperative symbiosis
The better AI anticipates, the more consciously we must question its premises—and our own as well. Because those who do not think and ask questions consciously will get nothing more than the echo of the training corpus. Those who do not dig deep will only get superficial probabilities. Deep prompting therefore also means becoming aware of your own thought patterns and responsibilities before unleashing them on AI. Dialogue with a learning machine is not a tool test – it is a mirror. And this mirror becomes clearer and sharper with each version.
Deep prompting is not a method for mass optimization. It is a new form of writing: between control and loss of control, between inspiration and inconsistency, between intuition and systematics. It is a cultural technique for those who are willing to understand language not only as a medium, but as a space for thought, as that in which meaning is formed. It is the curation of a dialogical writing process that brings machine and human on an equal footing – and produces results at a level of discourse and quality that neither could have achieved alone. Not a human machine, not L'homme machine, but the symbiotic cooperation of human (first) and machine (second).
