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Prompting is not a Role, it's Culture

Why prompting is not just a skill or role, but a mindset embedded in every modern workflow

May 06, 2025
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3 min read

"Prompting isn’t a dedicated task. It’s a way of thinking embedded in modern workflows."

In this era of generative AI, prompting has become a natural part of daily work. Whether you're an engineer, designer, marketer, or HR — you'll interact with AI, and that requires prompting.

We also don’t need to study prompting as a separate discipline. It’s not some exclusive skill to memorize. You just need clarity in thinking, structure in instruction, and a bit of effort to think things through.

Prompting is Easy

If your thinking is clear, prompting is simple. Most of the time, the issue isn’t the tool — it’s us skipping the thinking part.

Prompting is easy, if we’re not lazy to think.

Prompting as a Team Culture

Prompting isn’t just about crafting fancy sentences. It’s about structured thinking, understanding tool behavior, and being comfortable iterating with AI.

Modern AI teams usually:

  • Maintain prompt libraries for repeatable tasks.
  • Collaboratively refine prompts when results fall short.
  • Know when to use zero-shot, few-shot, or example-based prompting.
  • Treat AI like a junior teammate who needs clear instructions.

Everyone Is a Prompt Engineer

We’re entering a world where everyone is a co-pilot user — which means: if you prompt, you drive.

Do you need to master NLP? No. But you do need to:

  • Communicate instructions clearly and logically.
  • Improve outputs through feedback loops.
  • Adapt your prompting style based on the tool (ChatGPT ≠ Midjourney).

So instead of outsourcing prompt work to a specialist, teams should embed prompting into their daily culture.

Rather than glorifying “prompt engineers,” we should empower everyone to build a prompting mindset — collaborative, contextual, and naturally integrated into everyday work.

Even Prompting Can Be Automated

Ironically, in many cases today, AI can even generate its own prompts. You can feed raw data, and the AI crafts structured queries or instructions by itself.

Examples include prompt generator tools, AI-assisted agents, and ChatGPT rewriting your input into more precise prompts.

Here’s an example from my own tweet, where I showed how a simple image prompt can be auto-transformed into a more complex, detailed version — without manual tweaking.

Closing Thoughts

You don’t need to be an expert to prompt well. You just need an instructional mindset. Because today, how you talk to AI = how you shape your output.

Instead of hiring “a prompt engineer,” focus on building a prompting culture across your team. Teach people to think in instructions, not just outcomes. Because AI is only as good as how we guide it.

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