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Technique

Beginner

Role prompting

Ask the AI to respond as a specific role or expert to shape its focus, vocabulary, and tone for your audience.

What it is

Role prompting assigns the model a persona or perspective, such as "You are an experienced high-school chemistry teacher" or "Act as a skeptical investor reviewing this pitch." The role signals which knowledge, priorities, vocabulary, and tone to bring to the answer.

A role doesn't give the model new knowledge or real credentials. It's a compact way to set the angle and style of a response, and it works best when paired with a clear task.

When to use it

  • You want a specific point of view, such as a critic, a customer, or a hiring manager
  • The tone and vocabulary should match an audience (a kindergarten teacher vs. a lawyer)
  • You want feedback or a review from a particular angle
  • Practicing conversations: interviews, negotiations, language learning

How it works

Why it works

A role is a shortcut for a bundle of instructions. "You are a patient tutor for beginners" implies: explain simply, check understanding, avoid jargon, be encouraging. The model has seen lots of text written from such perspectives, so the role nudges it toward that style and those priorities.

Roles are most useful when they change what the model pays attention to:

Before

Review my resume.

After

You are a recruiter for mid-size tech companies who screens 200 resumes a week. Review my resume below for a junior data analyst role. Tell me: 1. What you'd notice in the first 10 seconds 2. The top 3 reasons you might pass on it 3. Specific rewrites for the weakest bullet points Resume: """ [paste resume] """

The recruiter role focuses the review on skimmability and screening criteria rather than grammar alone.

Roles for perspective-taking

Roles are also great for stress-testing your own work:

Prompt
Act as a skeptical customer who has been burned by subscription apps before.
Read our pricing page copy below and list every sentence that would make
you hesitate to sign up, with a short reason for each.

What roles can't do

Watch out: "You are a doctor" or "You are a lawyer" does not make the answer medically or legally reliable. The model can still be wrong or outdated. For high-stakes decisions, use the answer as preparation for talking with a real professional.

Also avoid stacking vague flattery ("You are the world's greatest genius copywriter"). A specific role with specific responsibilities ("a copywriter who writes short, plain-language emails for a hardware store") does more than superlatives.

Tip: In apps that support a system prompt or custom instructions, that's a good place for a role you want to persist across a whole conversation.

Step by step

  1. 1

    Decide what perspective would most improve the answer (expert, critic, audience member, coach).

  2. 2

    Describe the role concretely: who they are, who they serve, and what they care about.

  3. 3

    State the task the role should perform, just as you would without a role.

  4. 4

    Add audience, format, and length constraints.

  5. 5

    If the voice drifts during a long chat, restate the role or move it into custom instructions.

Weak vs strong

Weak prompt
You are the best marketing genius in the world. Make my bakery famous.
Why it falls short: The superlative role adds nothing useful, and the task is vague: no details about the bakery, the audience, the budget, or what output is wanted.
Strong prompt
You are a local marketing consultant who helps small neighborhood food businesses with tiny budgets. My bakery is a two-person shop known for sourdough and cardamom buns; most customers live within a mile. Suggest 5 low-cost ideas to bring in new local customers this month. For each, give the idea, the rough cost, and one first step I can take tomorrow.
Why it works: The role is specific and relevant (small budgets, local businesses), and it's paired with real context and a structured request, so the advice will be practical rather than generic.

Practical use cases

  • Expert-style explanations

    Ask "as a patient math tutor" to explain fractions to a 10-year-old, with one everyday example.

  • Critical feedback

    Have the AI review your essay as a strict editor or your business plan as a cautious investor.

  • Practice conversations

    Rehearse a job interview, a salary negotiation, or a conversation in a language you're learning.

  • Audience simulation

    Ask how a first-time user, a busy parent, or a non-technical manager would react to your draft.

Practice exercise

Same question, three roles. Pick a question you care about, such as "Should I learn Python or Excel first for my job?"

  1. Ask it plainly.
  2. Ask it as "a career coach for people switching into data jobs."
  3. Ask it as "a skeptical hiring manager at a small company."

Compare how the focus, advice, and tone change. Write one sentence on which role helped most and why.

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