A quick reflection as more of us lean into AI in our daily work.
I have an academic background in media and communication, and I’ve noticed that prompting comes fairly naturally to me. So I asked Claude why that might be – and got an answer I found genuinely insightful. Sharing it here 👇
The core idea: Prompt engineering is fundamentally a communication discipline – not a technical one. Writing a good prompt is exactly what you’re trained to do in journalism and communication: express yourself precisely, ask the right questions, and adapt your message to the recipient. The only difference is that the recipient is now a language model.
Five concrete connections:
1️⃣ Asking the right questions – Clear, well-scoped questions with good follow-ups are exactly what iterating toward a great prompt is all about.
2️⃣ Precision in language – Vague instructions give vague answers. Those used to writing tight and precise get better results.
3️⃣ Adapting to the recipient – Understanding how the model interprets context and tone, and adjusting accordingly, is pure audience adaptation.
4️⃣ Structure and narrative – Good prompts have an anatomy: role, context, task, format, constraints – just like a well-built story.
5️⃣ Critical thinking – A trained eye for scrutinizing and validating information is essential when assessing AI-generated output, rather than taking it at face value.
In short: those who are used to communicating clearly have a real head start in the AI era.