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How Learning to Talk to AI Made Me a Better Communicator With People

AI (Artificial Intelligence), Banking Industry

How Learning to Talk to AI Made Me a Better Communicator With People

Eric Cook by Eric Cook

Chief Digital Strategist

Contact author Full biography

Full biography

Meet Eric Cook

Eric Cook is Chief Digital Strategist at WSI and a former community banker with more than 15 years of industry experience. Since building his first bank website in 1995, Eric has helped financial institutions navigate digital marketing, website strategy, online visibility, and emerging technology. He has led his WSI agency since 2007 and is passionate about helping banks stay relevant in a rapidly changing digital world, including the growing impact of AI. Eric holds degrees from Alma College and Western Michigan University and is a graduate of the Graduate School of Banking at the University of Wisconsin-Madison, where he now serves as faculty. He also teaches and speaks nationwide on digital strategy, innovation, and AI in banking, and is the founder of The LinkedBanker, a mentoring and mastermind community for banking professionals.

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Summary:

Most of us assume communication breakdowns happen because someone “didn’t get it.” But what if the real issue is how we asked in the first place? Ironically, learning how to prompt AI has made me a much better communicator with the humans around me.

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There's a moment most leaders know all too well. You ask someone on your team to do something. They go off and do it. And what comes back is... not what you had in mind. So you're frustrated. They're frustrated. And somewhere in the middle of that tension is a communication breakdown that neither of you fully owns.

I've been there more times than I'd like to admit. As a community banker and as an agency owner.

But here's something I've been noticing over the past couple of years as I've gotten deeper into AI and more advanced prompting techniques. The skills that make you better at communicating with AI are the exact same skills that make you a better communicator with people.

It's one of the most unexpected gifts that working seriously with artificial intelligence has given me.

The Problem With How Most of Us Communicate

Here's the thing about human communication: we assume. We assume the person we're talking to understands our context. We assume they know what outcome we're looking for. We assume they can fill in the gaps because they know us, they've been around long enough, and they should just get it by now.

And sometimes they do. But a lot of the time, they don't. And when they don't, we blame them instead of examining how we asked. Nobody is a mind-reader. 

AI can't read your mind. It doesn't know your context unless you give it. It won't make assumptions about what you meant - it'll just work with exactly what you gave it. And if what you gave it was vague, you're going to get a vague result back.

That's actually a gift, even if it doesn't feel like one at first.

What Prompting Taught Me About Clarity

As I started studying more advanced prompting techniques and really paying attention to what produced great outputs versus average ones, a pattern emerged.

  • The better I got at describing context - the situation, the background, the nuances - the better the results. 
  • The clearer I was about the role I wanted AI to play - coach, analyst, thought partner, devil's advocate - the more useful it became. 
  • The more specifically I defined the outcome I was looking for - not just "write me something" but "write me this, for this audience, in this tone, with this goal" - the closer the output landed to what I actually needed.

And then one day it hit me: I should be communicating with my team this way.

With the same level of intentionality. That same clarity about context, role, and outcome. Because if AI - which is extraordinarily capable - still needs that level of clarity to do its best work, why would I expect the humans on my team to operate on less?

The Honest Truth: It Takes Intentionality

I want to be clear about something. This isn't a habit I've mastered. It's not something that happens automatically every time I open my mouth or fire off a Telegram message to the team or a text message to a client. There are still plenty of moments where I catch myself being vague, assuming too much, or skipping the context because I'm moving too fast.

But when I'm intentional about it - when I pause and think about how I'd frame this as a prompt - the difference in how my team responds is noticeable. Conversations are cleaner. There's less back and forth. People come back with work that actually hits the mark. And honestly, I think they feel more respected in the process, because clear communication signals that you've thought about what you're asking before you ask it.

That's worth something. That's worth a lot, actually.

Four Things You Can Try Right Now

If this resonates with you, here are four practical ways to start applying prompting principles to your human communication. These four elements are inspired by the CRIT prompting framework, from the amazing book, The AI Driven Leader, by Geoff Wodds. If you’ve not read it yet, do that next (but only after you’ve finished reading my article):

  • Lead with context. Before you ask someone to do something, give them the background. Why does this matter? What's the situation? What do they need to know to do this well? Don't make them guess.
  • Define the role. When prompting AI, it’s best to give the platform a role to play so it knows how it can help you. When communicating with others, are you asking them to execute, to think, to advise, to push back and challenge you? Be explicit. "I want you to just get this done" is a very different ask than "I want you to think critically about this and tell me what I'm missing."
  • Invite the interview. One of the most powerful prompting techniques is asking AI to ask you questions before it responds. Try that with your team too. "Before you dive in, what do you need from me to do this well?" That question alone can save hours of rework.
  • Describe the outcome. Not just the task, but what a great result looks like. What does done well actually mean? What are you going to do with it? The more they understand the finish line, the better their shot at reaching it.

This Is What "AI Making You More Human" Actually Looks Like

I presented to community bankers from all over the country on using AI to be more human at ICBA LIVE in San Diego recently, and this idea - that prompting has made me a better communicator with the people in my life - was one of the observations that seemed to land hardest in the room. Because it's counterintuitive. We expect AI to make us lazier, more transactional, and less connected.

But when you work with it the right way, it holds up a mirror. It shows you where your communication has gaps. It rewards clarity and intentionality in a way that quietly trains you to bring more of both to every conversation - not just the ones you're having with a machine.

That's not a side effect of AI adoption. That's a superpower.

And if you're a community banker leading a team, managing relationships, trying to be more present and more effective - this might be one of the most practical things AI can do for you. Not by replacing your communication. By sharpening it.

Let’s Chat

If this got you thinking about how your team is navigating AI - or how you personally are showing up as a communicator and a leader - I'd love to have that conversation. Feel free to reach out. Sometimes the most valuable thing is just talking it through with someone who's been in the weeds on this for a while.

Frequently Asked Questions

A: Working with AI forces you to communicate with clarity and intention. AI systems respond best when you provide clear context, define the role they should play, and explain the outcome you want. Practicing those habits with AI naturally carries over into how you communicate with people, making conversations with your team more focused and productive.
A: AI models don't know your background, assumptions, or goals unless you explicitly tell them. Unlike humans, they cannot fill in missing context based on experience or familiarity with you. The quality of the output depends heavily on the clarity of the prompt, which is why learning good prompting techniques improves the quality of responses you receive.
A: Effective prompts usually include four key elements: context, role, questions, and outcome. Provide background on the situation, define the role you want AI to play (such as analyst, coach, or editor), invite clarifying questions if needed, and clearly describe what a successful result should look like. These same principles also improve communication between leaders and their teams.
A: Yes. Many leaders discover that working with AI exposes gaps in how they typically communicate. AI rewards clarity, structure, and intention. When leaders start applying those same principles in conversations with employees and clients, they often see fewer misunderstandings and better results.
A: Community bankers often juggle multiple responsibilities while leading teams and serving customers. AI can act as a thought partner to help organize ideas, draft communications, analyze information, and clarify messaging. The process of prompting AI well also encourages leaders to be more intentional about how they communicate expectations and goals to their teams.
A: No. AI is best used as a tool to enhance human communication, not replace it. In relationship-driven industries like community banking, trust and personal connection remain essential. AI can help leaders think more clearly, prepare more effectively, and communicate more intentionally, but the human relationship is still the most important part of the conversation.
A: The CRIT framework, created by Geoff Woods of AI Leadership, focuses on four core elements of effective prompts: Context, Role, Interview, and Task or outcome. By providing background context, assigning a role to the AI, inviting clarifying questions, and defining the desired result, users can significantly improve the quality of AI responses. These same principles can also improve how leaders communicate with people on their teams.
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Frequently Asked Questions

A: Working with AI forces you to communicate with clarity and intention. AI systems respond best when you provide clear context, define the role they should play, and explain the outcome you want. Practicing those habits with AI naturally carries over into how you communicate with people, making conversations with your team more focused and productive.
A: AI models don't know your background, assumptions, or goals unless you explicitly tell them. Unlike humans, they cannot fill in missing context based on experience or familiarity with you. The quality of the output depends heavily on the clarity of the prompt, which is why learning good prompting techniques improves the quality of responses you receive.
A: Effective prompts usually include four key elements: context, role, questions, and outcome. Provide background on the situation, define the role you want AI to play (such as analyst, coach, or editor), invite clarifying questions if needed, and clearly describe what a successful result should look like. These same principles also improve communication between leaders and their teams.
A: Yes. Many leaders discover that working with AI exposes gaps in how they typically communicate. AI rewards clarity, structure, and intention. When leaders start applying those same principles in conversations with employees and clients, they often see fewer misunderstandings and better results.
A: Community bankers often juggle multiple responsibilities while leading teams and serving customers. AI can act as a thought partner to help organize ideas, draft communications, analyze information, and clarify messaging. The process of prompting AI well also encourages leaders to be more intentional about how they communicate expectations and goals to their teams.
A: No. AI is best used as a tool to enhance human communication, not replace it. In relationship-driven industries like community banking, trust and personal connection remain essential. AI can help leaders think more clearly, prepare more effectively, and communicate more intentionally, but the human relationship is still the most important part of the conversation.
A: The CRIT framework, created by Geoff Woods of AI Leadership, focuses on four core elements of effective prompts: Context, Role, Interview, and Task or outcome. By providing background context, assigning a role to the AI, inviting clarifying questions, and defining the desired result, users can significantly improve the quality of AI responses. These same principles can also improve how leaders communicate with people on their teams.

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