Most people start with AI the same way: type a question, hit enter. Very much like we have for Google search for many years.
It kind of works. You get a response and it's decent, maybe even useful, so you keep going. You ask more questions, get more answers, and settle into a pattern that feels productive.
Then one day you see someone else's output and you wonder how they get THAT from the same tool you're using. Or, maybe you catch something in the response that you feel like is complete nonsense or a hallucination.
The answer is almost always the same, and it's not that they are using a secret model or paying for a special tier. They're just giving Claude the information it needs before it has to ask for it.
The Vague Prompt Problem
Here's an example prompt most of us have typed at some point:
"Write me a professional bio as a project manager."
Seems reasonable. It's clear and says what you want.
But what will typically happen is Claude comes back with three to five clarifying questions.
Who's reading it? What platform is this for? First or third person? What tone? What should it highlight? How long should it be?
Even after it gives you a result it still may have more questions.
Want to adjust the length? Add specific achievements? Change the format?
Claude isn't being difficult, It's doing the only thing it can do when you haven't given it enough to work with. It's guessing, then checking.
The output reflects that. You get something generic like "seasoned project manager with over a decade of experience." The word "passionate" shows up. It reads like every other bio on LinkedIn because Claude had nothing specific to anchor to.
The Same Ask, With Structure
When I'm coaching anyone on the fundamentals of using Claude for work, I reiterate the importance of applying a structured template to help craft better responses and build prompting fluency.
It looks and feels ridiculous when you're prompting to apply a template, but, it makes for massive gains in quality and reduction in those precious tokens you hear everyone crying about in your LinkedIn feed.
Here's the same request, written differently, with a structured template.
Context: I'm a project manager at a mid-sized marketing agency with 8 years of experience. I'm updating my bio for LinkedIn and my company website. My audience is potential clients and senior B2B stakeholders.
Example: I like the tone of this bio: "Sarah helps growing companies turn messy operations into scalable systems." I want something that feels similar. Confident, specific, human.
Instructions: Lead with who I help, not my job title. Highlight my experience managing cross-functional teams and delivering projects on time and under budget.
Constraints: Under 120 words. First person. No jargon. No "passionate" or "results-driven."
Output format: One clean paragraph, ready to paste.
--
Same model. Same ask. Zero questions from Claude.
In fact, it produces an immediate result that actually sounds like a real person. It leads with value, uses the tone you asked for, stays within your word count, and avoids the cliches you told it to skip.
The difference is you've simply answered the questions before they were asked, and in doing so, you've narrowed the output to start in a more accurate framing
The Real Skill
The real skill is understanding WHY the template works. One of the fastest way to learn that is to pay attention to what Claude asks you when you DON'T use one.
Think about it. When you send a vague prompt, the questions Claude asks are signals.
- Who's reading it? Because audience matters
- What tone? Because tone changes the output
- How long? Because constraints produce better results than open-ended freedom
Every question Claude asks is a lesson in what makes a good prompt. In fact, if you take note of the questions, you'll notice that they'll lead you right to Anthropic's best practices guides.
From Template to Fluency
The template (Context, Example, Instructions, Constraints, Output Format) is training wheels. Use it. It works. It will immediately improve your results.
But the goal isn't to fill out five sections every time you talk to Claude, that would be ridiculous. The goal is to internalize what those sections represent so you naturally include that information without thinking about it.
Here's what that same prompt might look like once the structure lives in your head:
"I need a LinkedIn bio for a project manager with 8 years at a marketing agency. Write it in first person, under 120 words, and lead with who I help rather than my title. The tone should feel confident and human, like 'Sarah helps growing companies turn messy operations into scalable systems.' Skip the jargon and avoid words like 'passionate' or 'results-driven.' Give me one clean paragraph, ready to paste."
No labels. No sections. Just natural language that happens to include context, an example, instructions, constraints, and an output format, all in one paragraph.
The result will be quite similar to the structured version because the information is the same. The format it's delivered in doesn't matter, what matters is that Claude has what it needs to produce a quality result.
How To Practice This
One habit that will help build prompting fluency faster than anything else:
When Claude asks you clarifying questions, think to yourself why it needed to be asked? Try to include that information upfront in your next prompt. Over time, you'll notice Claude asks fewer and fewer questions.
Try For Yourself
This is an easy and quick exercise you can try. Open Claude and go into Incognito mode.
- Ask it to write you a professional bio with just your job title and nothing else. Count the questions it asks and note which questions it asks
- Then try again with the template (Context, Example, Instructions, Constraints, Output Format)
- Then try a third time in natural language, but include all the same information without the labels
- Compare the three outputs
That comparison will teach you more about prompting than any course or guide, because you'll see the difference with your own work, not someone else's example.
You're not memorizing a framework, you're training a mental model for how to communicate with AI. The structure becomes instinct, and your prompts get better without you having to think about it. Soon, you'll be providing clearer, well guided instructions to the AI.
That's prompting fluency.