Description: telling AI what you actually want

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Telling AI what you actually want
Clearer requests create better results.
AI is not reading your mind. It responds to the goal, context, limits, and format you give it. Better instructions usually produce more useful, more consistent output.
Vague request
Write a social media post.
Generic output that may not fit your business or audience.
Clear request
Write a short, friendly social media post for a local plumbing business about seasonal maintenance. Keep it under 100 words and include a call to action.
Relevant, on-brand output that you can use.
Vague in, vague out: Short or unclear requests often lead to generic or unhelpful results.
Specific requests reduce rework: The more detail you give, the closer the first result will be to what you need.
Good prompts are structured, not magical: Include the goal, context, limits, and desired format for the best results.
AI works best when you explain the job clearly.

The short answer

To get useful results from AI, tell it exactly what you want: the goal, the context, the limits and the format of the answer. Vague requests get generic answers that need rework, while a specific request gets you closer to a usable first draft.

Three things to remember

  1. 01A good request has four parts: the goal, the context, the limits and the format.
  2. 02Vague in, vague out: short requests give generic results, and specific ones cut rework.
  3. 03Break big jobs into steps, review the first result, and improve the request before blaming the tool.

Every slide, in words

  1. 01

    Telling AI what you actually want

    Clearer requests create better results.

    AI is not reading your mind. It responds to the goal, context, limits, and format you give it. Better instructions usually produce more useful, more consistent output.

    Vague request

    Write a social media post.

    Generic output that may not fit your business or audience.

    Clear request

    Write a short, friendly social media post for a local plumbing business about seasonal maintenance. Keep it under 100 words and include a call to action.

    Relevant, on-brand output that you can use.

    Vague in, vague out: Short or unclear requests often lead to generic or unhelpful results.

    Specific requests reduce rework: The more detail you give, the closer the first result will be to what you need.

    Good prompts are structured, not magical: Include the goal, context, limits, and desired format for the best results.

    AI works best when you explain the job clearly.

  2. 02

    The 4 parts of a good request

    Good prompts give the AI the information it needs.

    Goal: What job do you want done?

    Example: Write, summarize, classify, extract, brainstorm.

    Context: What should the AI know first?

    Example: Your business, audience, source material, or situation.

    Limits: What rules should it follow?

    Example: Word count, tone, must include, must avoid.

    Format: How should the answer be delivered?

    Example: Bullets, email draft, table, checklist, JSON, outline.

    All four create a better result

    When you give AI structure, you get more useful output.

  3. 03

    Weak ask vs strong ask

    The difference is clarity, not magic.

    Weak ask

    Summarize this email.

    Generic summary that may miss important details or context.

    Strong ask

    Summarize this customer email in 3 bullets, note urgency, and suggest the next step.

    Clear, useful summary with key points, urgency level, and a recommended next step.

    Weak ask

    Make a social post.

    Generic post that may not fit your business, audience, or goals.

    Strong ask

    Write a friendly social post for a local HVAC company about fall maintenance, under 80 words, with a call to action.

    On-brand, relevant post tailored to your business, with a clear call to action.

    Weak ask

    Help with this quote.

    Generic response that may be incomplete or require a lot of editing.

    Strong ask

    Turn these job notes into a clean customer quote summary with scope, timeline, and assumptions.

    Professional, structured quote summary you can review and send, with scope, timeline, and assumptions included.

    Specific instructions reduce editing and rework.

  4. 04

    Small-business example

    A contractor office

    Better inputs help the AI produce better first drafts.

    Customer notes come in: A call or email from a customer about a potential job.

    Call / email notes:

    Roof is leaking near chimney

    2-story house

    Homeowner wants a quote

    Prefers afternoon appts

    Asked about cost and timeline

    Vague request to AI: This request is too general and misses key details.

    Write an email to the customer.

    Improved request: This one gives a role, context, constraints, and output format.

    You are helping a roofing contractor. Turn these job notes into a short follow-up email for the customer. Confirm the problem, mention the next visit window, and list the information still needed.

    Useful result: A clear, ready-to-send customer follow-up draft based on the notes.

    To: Homeowner

    Subject: Follow-Up on Your Roof Issue

    Hi there,

    Thanks for reaching out about the roof leak near your chimney. I'd be happy to take a look.

    I can visit this Thursday or Friday afternoon.

    To prepare an accurate quote, could you let me know the age of the roof and if you've noticed any other areas with leaks?

    Thanks,

    [Your Name]

    [Your Company Name]

    Less rewriting: Get closer to a usable draft the first time.

    Faster follow-up: Spend less time on routine emails and quotes.

    More consistent communication: Keep a clear, professional tone across all customer messages.

    AI becomes more helpful when you describe the real business task.

  5. 05

    Common mistakes when asking AI for help

    Most bad output starts with a missing detail.

    Too vague: The request is unclear or too short, so the output is generic or off-topic.

    Say the goal: Be clear about what you want to achieve.

    "Create a friendly social post to get more service calls."

    No business context: AI doesn't know your audience, industry, or situation.

    Explain the audience or situation: Give a little background about your business.

    "We're a local plumbing business in a small town. Our customers are homeowners."

    No constraints: The response may be too long, too complex, or not match what you need.

    Add tone, length, or required points: Set clear limits and style.

    "Keep it under 100 words, use a friendly tone, and include a call to action."

    No output format: The answer may not be in a usable format.

    Ask for a specific format: Tell AI how you want the output.

    "Give me a bullet list, a table, an email, or a checklist."

    Asking for too much at once: A big, multi-part request can lead to incomplete or messy results.

    Break the job into steps: Ask for one part at a time.

    "First write an outline, then draft the content, then suggest a headline."

    Important to remember

    AI can still be wrong: Always review important work for accuracy before using it.

    If the answer misses, improve the request before blaming the tool.

  6. 06

    The small-business takeaway

    Good AI use starts with clear instructions.

    Start with the exact job: Clearly state what you want AI to do.

    Add the business context: Include your business type, audience, and any relevant details.

    Set the limits and must-haves: Mention length, key points, tone, and anything that must be included (or avoided).

    Ask for the format you want: Tell AI how to structure the response (e.g., list, email, post, table, etc.).

    Review and refine the first result: Check the output, make adjustments, and ask for changes if needed.

    A simple prompt formula

    Task + context + limits + format = better output

    Use this formula for emails, social media posts, documents, ideas, and more.

    The clearer you ask, the more useful AI becomes.

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