Should You Tell ChatGPT or Claude to "Act as an Expert"?

You have been told two things about AI prompts. They contradict each other, and both of them are wrong.

The first: always tell your AI to act as an expert. The second: roles do nothing anymore. Both tips get passed around in workshops, LinkedIn posts, YouTube thumbnails, and newsletters that should know better. Both of them miss the point entirely.

Here is the honest answer: a role can help, but it does not make Artificial Intelligence (AI) smarter. And if you are relying on a job title to do the work your prompt should be doing, your results will reflect that.

This post will show you exactly when a role is useful, when it is empty noise, and what to write instead

Created in Midjourney.

What "Act as an Expert" Actually Promises (and Fails to Deliver)

When someone tells you to open ChatGPT and type, "Act as the world's greatest marketing expert," they imply something special happens next. That the AI digs deeper. That it accesses knowledge it was holding back. That the credential unlocks the vault.

It does not.

Telling an AI it is a world-class expert does not give it credentials. It does not make it more current. It does not turn a weak brief into a strong output. And it absolutely does not make unsupported claims more true. What it gives the AI is a flattering job title and nothing else. The real work is still entirely up to you.

I have watched this play out in training rooms across South Carolina and in workshop after workshop. A business owner types in a role, gets a mediocre result, and concludes that AI is overhyped. The AI was not the problem. The prompt was. A title without a brief is not a prompt. It is a label on an empty box.

What OpenAI and Anthropic Actually Say

Before we dismiss roles entirely, let's be accurate. Both OpenAI and Anthropic include role guidance in their official documentation. Ignoring that would be dishonest.

OpenAI's Prompting Documentation

OpenAI's prompt engineering documentation lists "ask the model to adopt a persona" as one tactic within a broader toolkit for clearer instructions. The key word there is one. It sits alongside clear instructions, relevant details, necessary context, examples, required steps, and a defined output format. OpenAI's guidance also makes a useful structural distinction: put broad tone or role direction in a higher-level system instruction, and put the unique task details and examples in the user message. In other words, use a role to establish a consistent working frame. Then use the actual prompt to explain the assignment.

Anthropic's Prompting Documentation

Anthropic's system prompts documentation takes a similar but more practical angle. It recommends treating Claude like a brilliant new employee who does not know your organization, your standards, or your workflow unless you explain them. The documentation states clearly: "Setting a role in the system prompt focuses Claude's behavior and tone for your use case. Even a single sentence makes a difference." But notice what it prioritizes: behavior and tone, not competence. A role helps Claude show up in the right mode. It does not teach Claude things it does not know.

Both companies treat roles as one tool in a larger kit. Neither treats a role as a substitute for a well-constructed brief. That distinction matters.

Created in Midjourney

When a Role Actually Works

A role earns its place when it changes the viewpoint, standards, or communication style in a way that genuinely shapes the output. Not as decoration. As direction.

Consider the difference between these two prompts applied to the same sales page.

Prompt A (empty status language):

"Act as an expert copywriter and improve this sales page."

Prompt B (useful perspective):

"Review this sales page through the eyes of a skeptical first-time buyer. Identify vague claims, missing proof, likely objections, confusing language, and reasons they may not buy. Then rank the five highest-impact improvements."

Prompt A hands the AI a job title. Prompt B hands the AI a job. It tells the AI whose perspective to use, what to look for, what standards apply, and what output you need. That is the difference between decoration and direction.

More examples of roles that work:

●"Teach this to a nontechnical business owner who is skeptical of AI."

●"Evaluate this offer as a cost-conscious owner of a 10-person local service business."

●"Edit this article for logical gaps, unsupported claims, and reader confusion."

●"Respond as a patient instructor; define jargon immediately and use one accurate analogy."

●"Review this strategy as a Chief Financial Officer (CFO) focused on cash flow, risk, and payback period."

Each of these gives the AI a genuine lens, not a title. They change what the AI looks for, how it frames the response, and what it treats as success. That is a role doing real work.

The Language That Fails Every Time

There is a pattern in the role-prompting advice that circulates online. It tends to look like this:

●"You are the best expert in the world."

●"You are a genius marketer."

●"You are an elite Search Engine Optimization (SEO) master."

●"You have 30 years of experience."

These sound impressive. They are not. None of them tell the AI what to look for, what standards to apply, who the reader is, or what output you need. They are flattery aimed at a tool that does not experience flattery. The AI doesn't try harder because you told it it is the best. It processes your prompt against its training. The result is only as good as the instruction.

Status language gives the AI an impressive title. A useful role gives the AI a clear job.

The Better Formula: No Role Required

In most cases, you do not need a role at all. You need a complete brief. The formula is straightforward:

Audience + Goal + Context + Criteria + Deliverable + Constraints

Here is what that looks like in practice:

"Create a beginner-friendly article for small-business owners searching for information on AI agents. They want to understand what AI agents are, whether they matter to their business, and how to begin without wasting money. Explain the concept in plain English, use two realistic examples, distinguish agents from ordinary chatbots, include limitations and risks, and provide an outline, title tag, and meta description. Avoid technical jargon and exaggerated Return on Investment (ROI) claims."

Notice: no role required. The AI now knows who it is writing for, what the reader wants, what to include, what to avoid, and what format to deliver. That brief does the work that a job title cannot.

This is the approach both OpenAI and Anthropic point toward in their documentation. Context, criteria, examples, and constraints produce reliable results. A flattering title does not.

How to Put This to Work Today

Next time you sit down with ChatGPT, Claude, Gemini, or any other AI tool, run this two-second test before you type.

Ask yourself: does this role genuinely change what the AI looks for, how it communicates, or what standards it applies?

If yes, keep it. A perspective-based role adds real direction.

If the role is just a status label with an impressive title, drop it and spend that attention on your brief instead. Define your audience. State your goal. Give context. Name your criteria. Specify your deliverable. Set your constraints.

That is a better prompt formula than any job title you could assign.

Frequently Asked Questions

Does telling an AI to "act as an expert" actually change the output?

Sometimes, but not reliably. A status label may shift tone slightly. It will not give the AI access to better information, make unsupported claims accurate, or compensate for a vague brief. Clear instructions outperform impressive titles every time.

Are roles useless in AI prompts?

No. A role that assigns a genuine perspective, like "a skeptical first-time buyer" or "a CFO focused on cash flow," changes what the AI looks for and how it communicates. That kind of role does real work. Empty status language, like "the world's greatest expert," does not.

What do OpenAI and Anthropic say about role prompting?

Both include role guidance in their official documentation, but as one tactic within a larger toolkit. OpenAI recommends using personas alongside clear instructions and relevant context. Anthropic says setting a role focuses behavior and tone, not competence. Neither treats a role as a substitute for a well-constructed prompt.

What is the best prompt formula for small-business owners?

Audience, goal, context, criteria, deliverable, and constraints. Define who you are writing for, what you need, what background the AI needs to know, what counts as a good result, what format you want, and what to avoid. That formula produces reliable results without needing a role at all.

Does this advice apply to all AI tools?

Yes. The principles apply to ChatGPT, Claude, Gemini, and any other large language model. Perspective-based roles help. Status-based roles do not. A complete brief outperforms both.

The Bottom Line

The debate over role prompting has wasted a lot of people's time. The useful part of the tip and the useless part were never separated clearly, and that gap is where bad results live.

Use a role when it genuinely changes the perspective, standards, or communication style the AI brings to your task. Skip it when it is nothing more than a flattering label. In both cases, your brief still does the real work.

Give the AI who it is writing for. Tell it what you need. Provide the context that matters. Name the criteria for a good result. Specify the format. Set the constraints.

That is a better prompt formula than any job title you could assign. And it will get you better results with every AI tool you use.

Want to build prompts that actually get results?

AI Educational Solutions works with small and medium-sized business owners who want to use AI practically, without the hype. If you want to see what better prompting looks like in your business, start at aieducationalsolutions.org.

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Michael Carmine
Founder & CEO | AIEducationalSolutions.org
About the Author

Michael Carmine, Ed.D., MBA, is the Founder and Chief Executive Officer of AI Educational Solutions (AIES), a boutique AI consulting and training firm based in Chapin, South Carolina, serving small and medium businesses across the Midlands and nationally. He holds a doctorate in Curriculum and Instruction with a specialty in Instructional Design and Technology, and has trained over seven hundred professionals across the United States, South Korea, and Qatar. Most AI consultants come from technology. Michael comes from education, and that difference shapes every tool he builds.