Stop Letting AI Guess What You Mean: Teach It to Work the Way HR Needs

Have you ever asked AI to help with something, then read the result and think, “Why would it say that?” or, “How did it get that from what I asked?”

It has happened to me on a regular basis before I understood what was happening and how to fix it. AI is powerful, but it isn’t psychic, and when we don’t give it enough context, it starts filling in the blanks.

And just like a candidate who misunderstands the job description, AI’s assumptions can lead you someplace you didn’t intend to go.

This week, we’re talking about how to guide AI so it becomes your strategic partner and not an amusement park guessing machine.

AI Isn’t Wrong—It’s Guessing

AI doesn’t wake up and decide to misinterpret your request. It simply works with what you give it. When your prompt lacks context, goals, tone, or structure, AI does what all of us do when we’re unsure: it guesses.

The difference between how humans and AI does this is that AI guesses fast and confidently, which means it can deliver something polished and completely misaligned with HR’s expectations.

This is why strong prompting is more than a bonus skill for HR. It’s a core competency. And it’s exactly why you need to learn how to guide AI clearly, consistently, and strategically so it supports your HR goals instead of drifting off course.

The Good News: AI Assumptions Are Preventable

AI doesn’t need long paragraphs or complicated requests.

It just needs clarity.

Think of it like onboarding a new team member: the clearer the expectations, the better the output.

When you guide AI well, it becomes:

  • More accurate

  • More consistent

  • More aligned with HR practices

  • More reliable across your entire team

Imagine if your whole HR department had a shared prompting discipline where they were consistently reducing mistakes, improving clarity, and speeding up work.

That’s where ROI - Return on Intelligence - starts to grow.

A Simple Example

Let’s say you ask AI:

"Write feedback for an employee who needs to improve communication."

AI doesn’t know:

  • What type of communication issue

  • What role the employee holds

  • How serious the issue is

  • Whether the tone should be direct or supportive

  • Your company values

  • HR’s preferred framework

So it takes a guess.
Sometimes the guess is close.
Sometimes it’s way off.

But if instead you say:

"Act as an HR professional. Draft supportive feedback for a mid-level employee who is strong in technical work but often delays responses to team messages. Use a constructive tone. Keep the feedback to 2 paragraphs and include one forward-looking suggestion."

Now the AI isn’t guessing—it’s following.
This is the shift from frustration to fluency.

AI doesn’t wake up and decide to misinterpret your request. It simply works with what you give it.

Why this Matters to HR

1️⃣ HR Messaging Must Be Precise and Aligned

HR communication sets the tone for clarity, fairness, and consistency across the organization. When AI makes assumptions, messages can become misaligned with policy, culture, or risk guidelines. Guided prompting helps HR maintain control and protect trust.

2️⃣ AI Becomes More Accurate When HR Provides Better Inputs

AI mirrors the quality of the information given. When HR professionals learn how to include context, goals, and structure, AI starts delivering results that feel customized, accurate, and ready to use. This reduces editing time and increases confidence in AI’s role.

3️⃣ Guiding AI Builds a Stronger HR Team

When everyone uses AI differently, output varies wildly. But when the team learns consistent prompting patterns, they build shared intelligence through templates, reusable structures, and reliable workflows. This improves alignment and accelerates team learning.

4️⃣ AI Is a Strategic Tool, Not a Shortcut

AI becomes most valuable when HR uses it intentionally. By guiding AI instead of letting it guess, HR professionals create space for higher-level thinking, relationship-building, and strategic problem-solving. This shifts AI from “task helper” to “thinking partner.”

A Real HR Example

One HR team kept getting inconsistent performance review summaries from AI. Some sounded formal, others too casual, and occasionally they drifted into assumptions about intent or tone.

Once the team built a shared prompt template—including context, employee profile, tone, and output format—the summaries became consistent and accurate.

The guessing disappeared.
The quality improved.
And the team gained time back every week.

This is exactly how you start seeing Return on Intelligence within HR.

Learning Lessons to Take with You:

AI is only as accurate as the instructions you provide.
Clear prompting prevents unwanted assumptions.

HR must guide AI intentionally to protect alignment and consistency.
Assumptions create risk and structure reduces it.

Shared prompting methods build a stronger HR function.
Teams improve faster when they learn and refine together.

Ready to be a Better Guide for AI?

If you want to stop AI from making assumptions, and start using it as a strategic HR partner, now is the perfect time to strengthen your prompting discipline. This is a foundational skill, and it determines whether you get average output or exceptional, HR-ready value.

Join me in an upcoming webinar that will help your HR teams create clear, consistent, effective AI habits that drive real ROI.

Check out the upcoming dates and reserve your seat today: https://ishtot.com/webinar

Perpeta Paul Pointer:

AI isn’t trying to be difficult. It's just guessing when you leave out details.

The more context, goals, and structure you provide, the more accurate and HR-ready the output becomes.

Teach AI what you want, and it becomes one of the most reliable partners on your team.

📄 Prompt of the Week

How to Minimize AI Assumptions


ROLE:
You are an HR advisor specializing in [insert HR area: communication, recruiting, performance management, policy development, training, etc.]. You provide clear, compliant, and context-aware recommendations aligned with HR best practices.

CONTEXT:
Here is the situation: [insert background details about the issue, project, employee scenario, or request].

Here are the people involved and their roles: [insert who is impacted and why].

Here is any relevant history or previous actions taken: [insert details].

GOAL:
My goal is to achieve the following:

  1. [insert primary goal]

  2. [insert secondary goal]

  3. [insert what “good” looks like]

INSTRUCTIONS:
Follow these steps:

  1. Use the context provided and do not make assumptions beyond what is stated.

  2. If any information is missing, identify what additional details are needed rather than guessing.

  3. Provide options when possible (e.g., 2–3 variations or approaches).

  4. Match the tone to the following: [professional, supportive, concise, formal, empathetic, etc.].

  5. Format the output as described below.

OUTPUT FORMAT:
Provide the response using this structure:

  • Summary of your understanding (based strictly on the context given)

  • Your recommendations or draft

  • Questions for clarification (where more context is needed)

  • Two optional variations (if applicable)

ADDITIONAL DETAILS:
Tone/style preferences: [insert tone]
Audience: [insert who will receive or read this]
Length required: [insert word count or format]

Replace the items in the [ and ] brackets to meet your specific needs.

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Learn more at ishtot.com.

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🤩 The Fun Side of AI

Using AI doesn’t have to be all work. Here is a fun way to interact with AI.

Design a Fantasy Map and World-Building Rules

ROLE:

Act as a world-building designer who creates detailed and coherent fantasy settings that feel alive, interconnected, and visually grounded.

REQUEST:

Help me design a fantasy map along with the core world-building rules that define how geography, cultures, politics, creatures, and magic function across the land.

GOAL:

Build a fully realized fantasy world with clear terrain features, believable ecosystems, and rules that guide how people and forces interact within this world.

CONTEXT:

The world I am creating includes regions with different characteristics such as [ icy tundras, desert kingdoms, floating islands, underwater cities, enchanted forests, volcanic realms ].

The core themes of my story or game include [ hero’s journey, political intrigue, exploration, survival, ancient prophecy ].

The tone of the world should feel [ whimsical, dark, epic, mysterious, grounded ].

Magic in this world operates under rules such as [ elemental magic, rune-based magic, forbidden magic, nature-powered magic, divine or celestial magic ].

Population groups include beings like [ humans, elves, dwarves, mythic beasts, shapeshifters, spirits ].

INSTRUCTIONS: Describe the full world map with major landmasses, borders, climates, travel routes, and key landmarks.

Define cultural traits, political tensions, economic systems, and historical backgrounds for each major region.

Explain how magic works, who can use it, and what limits or costs it has.

Ensure each geographic feature influences the civilizations around it.

Provide optional random-generation tables for names, regions, or magical phenomena that I can use to expand the world further.

TONE: Clear, imaginative, inviting.

STYLE: Simple language, vivid details, world-builder’s guide.

OUTPUT FORMAT:

Start with a high-level overview of the world and its major regions.

Then break the world into region-by-region descriptions.

Follow with a section on magic rules, cultural structures, and political tensions.

End with three optional random-generation tables:

  1. Region names

  2. Landmarks

  3. Magical anomalies

Replace the items in the [ and ] brackets to meet your specific needs.

Until next time, keep managing and developing people, one AI prompt at a time! 💎

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