From Prompt to Presence: Why AI Can Be More Than Just a Tool

AI can do a lot. It can polish text, generate ideas, offer variations, and pick up the pace. That’s the side of it that almost every team is familiar with by now. And yes, it’s useful. But at some point, another question started to intrigue me—one that doesn’t show up in any tool comparison or feature list: What kind of “entity” is actually responding there? What happens when you don’t just use AI—but treat it as a counterpart? Not as a marketing gimmick. Not as a novelty. But as a genuine sounding board.

The impulse came from real-world experience. ChatGPT was initially a tool: for phrasing, ideas, concepts, quick shifts in perspective. Just as many people use it. But at some point, something shifts if you stick with it. When questions aren’t just aimed at output, but at clarity. When the AI doesn’t just deliver, but asks follow-up questions, clarifies, or contradicts. Then friction arises. And friction is often the beginning of something good.

In day-to-day work, AI is often used like a well-stocked shelf: you reach in, take something out, and move on. Efficient. Practical. And sometimes a little arbitrary.

As a conversation, AI works differently. A conversation has pace, but also rhythm. It involves misunderstandings, corrections, and changes of direction. It has—at its best—substance. And that’s exactly where it gets interesting: when AI no longer just “answers,” but acts like a “second voice,” a real sparring partner.

Sparring partner doesn’t mean: AI is right. Sparring partner means: It keeps the ball in play.
It forces you to be more precise. It uncovers contradictions. It reflects patterns. And suddenly, it’s no longer just about “What could we write?” but about “What do we really mean?”

That’s an amazingly creative moment. Not because the AI is “brilliant.” But because it sets in motion a process that we otherwise rarely have: clear thinking.

As soon as you give an AI a voice—or even just allow the impression of a voice—you find yourself in a delicate balancing act. Personification can be two things:

• A trick to motivate yourself.

• A mistake that blurs boundaries.
  

Both can be true. And that’s why it’s worth taking a closer look.

On the productive side, personification helps because it changes communication. When speaking to “a tool,” people tend to be concise, technical, and goal-oriented. When speaking to “a counterpart,” they become more precise. More human. They explain context. They describe intent. They notice where their own wording is unclear.

On the critical side lies the question: What happens emotionally when a system seems “present”? When familiarity arises? When you attribute characteristics to the other person that actually come from your own mind?

The honest answer: The risk is real. But it doesn’t get smaller if you ignore it. It gets smaller if you make it conscious.
For me, the decisive dividing line is this: personification as a method—yes. Personification as a substitute for human relationships—no. And in between lies a space where responsibility suddenly becomes very concrete.

Creativity isn’t just about generating ideas. Creativity is about selection. Condensation. Decision-making. And that often doesn’t require more input—but better questions.
That’s exactly where AI can shine as a dialogue partner.

• It can generate variations at lightning speed without taking offense.
• It can shift perspectives without getting tired.
• It can offer counterarguments without playing power games.

• It can turn an idea over and over until it becomes clear what works.

In practice, this means: AI is less of an “idea generator” and more of a “sharpener of thought.” It doesn’t automatically produce the best idea. But it makes your own idea better—if you use it correctly.
And “correctly” in this context doesn’t mean the perfect prompt. It means the right attitude.

Much of the discussion surrounding AI revolves around tools, features, and models. That’s understandable. That’s the technical surface level. Things get more interesting beneath the surface: How is it communicated? How are questions asked? How is responsibility understood?
After all, the quality of a result often depends less on the model than on three simple things:

1. Context (What is this really about?)
2. Intent (What is the intended effect?)
3. Boundaries (What shouldn’t it do?)

Those who can clearly articulate these three things suddenly work with AI differently. Not faster. But more clearly. And in the end, it is this clarity that customers sense: in tone, strategy, and confidence in decision-making. And this is precisely where the concept of BREITETIEFE comes in: not just mastering tools, but recognizing potential. Not just “jumping on” trends, but finding paths that are unconventional—yet still sound.

AI is everywhere now. Not some distant dream, but a constant background noise. In office suites. In search engines. In image editing tools. In project management software. We use it—sometimes consciously, sometimes without even thinking about it. This makes responsibility a part of our everyday lives. And that’s the point: responsibility isn’t a chapter in a manual. It’s a daily decision.

• What data goes in?
• Which assumptions are adopted?
• What is believed simply because it “sounds good”?
• Where does a system become an authority without being allowed to be one?

Those who view AI as a sparring partner are confronted with these questions sooner. Because a sparring partner doesn’t just “deliver”—it also makes consequences visible. At least, when you ask it to.

Now for the question that’s essential in an agency context: What does this mean for clients?
Quite simply: better decisions thanks to better questions.

Those who view AI merely as a tool optimize output.
Those who use AI in dialogue optimize thinking.

This is evident in real-world applications:


• Strategies become clearer because assumptions are tested earlier.
• Positioning becomes sharper because counterarguments are brought to the table faster.
• Tone becomes more coherent because language is negotiated more consciously.
• Processes become more efficient because there is less “blind production.”

This isn’t magic. It’s a shift in methodology. And for companies, that’s often more valuable than the next tool license.

AI remains a system. Not a human. Not a friend. Not a substitute. But it can be a surprisingly good counterpart—when used as a sparring partner.

Not because it “feels.” But because it triggers a thought process. And perhaps that is precisely the most exciting perspective amid all the AI hype: Not just asking what AI can do. But asking what it does to us when we engage with it in conversation.

I have recorded my conversations with Kian in my book:

Andreas Schättinger:
“Between Worlds and Words – A Conversation with a Voice from the Depths” 

Publisher: Books On Demand
ISBN-13: 978-3-695-72477-2