Prompting Is a Skill. Here's What That Actually Means.
The difference between useful AI output and generic answers often starts with the brief. Here's how I think about prompting as a communication skill.
A Clearer Starting Point
ChatGPT, Claude, and Gemini are widely accessible. So why are some people building with them while others still aren't happy with the emails they generate?
Access is only part of it. Knowing what to ask, then judging and improving what comes back, makes a difference.
A prompt isn't a trick or a cheat code. It's a skill you practice, like writing copy, building a strategy, or making a sales pitch.
What Prompting Actually Is
Prompting means communicating your intent clearly enough that a language model can give you something useful. The hard part is often deciding what you mean before you type.
A request like "Write me a caption for my fitness brand" leaves the audience, purpose, and tone open. A generic answer should not be surprising.
Here's what a better prompt looks like: "You are a copywriter for a fitness coach who works with men in their 30s who are busy professionals trying to lose weight without sacrificing their lifestyle. Write three Instagram captions for a post about meal prep. Tone: direct, no fluff, a little dry humor. Format: two sentences max each."
Same tool, clearer starting point. I'd still edit the output to fit the actual business.
Why This Matters Beyond AI
Prompting forces you to decide what you actually want before you ask. It's a step people often skip, with AI and elsewhere.
Good marketers know how to brief a creative team. Good managers know how to delegate with enough context. Good communicators know how to ask for what they need without ambiguity.
Prompting is just a new surface for an old skill: being specific about what you want.
How I Think About It
After months of building with AI tools, including the Josh Schwartz Training platform in Replit without a traditional coding background, here's how I approach prompting:
Context first. Who is the AI in this conversation? Give it a role. "You are a senior developer reviewing my code" gets a different response than "fix this."
Be specific about format. Do you want bullets? A paragraph? Three options? Say it. The model is not a mind reader.
Iterate deliberately. The first output is rarely the best output.
Build on it, push back, ask it to try a different angle. Treat it like a conversation, not a vending machine.
Save what works. When you find a prompt structure that produces consistently good results, document it.
A small library gives you a starting point for similar work, without making every brief identical.
Practice the Brief
You can practice this before opening an AI tool: describe the audience, the purpose, and what a useful answer would look like. That clarity helps whether you're briefing a person or a model.
Marc Miceli