Why AI Keeps Giving You Generic Answers

Why does AI produce generic results for so many business owners?

Because AI isn't the problem - it's missing the context.

In this episode, Whitney Sewell explains why AI should be trained like a new employee and shares the four foundational documents every business should create before expecting AI to produce high-quality work.

You'll learn how to give AI the context it needs to represent your business accurately, why documentation improves both your AI systems and your team, and how thoughtful stewardship of AI can help you reclaim hours every week without sacrificing quality.

Whether you're just getting started with AI or you're frustrated by inconsistent results, this episode will help you build a system that actually understands your business instead of guessing.

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Transcript

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If you hired someone tomorrow and handed them a client email to answer without telling them your prices, your policies, or how to talk to people, you would not be surprised if they got it wrong. You would say, that is on you, not them. You skipped the training. Most men do exactly that to AI every single day, and then they decide the tool does not work. It is not the tool, it is the setup. And today I want to show you the one thing that changes everything else that you do with AI, the thing almost nobody does first. In the last episode, I talked about the bottleneck, the way you work in your business stalls without waiting on you. And I said breaking it takes three things clarity on the job, context about your business, and the trust to let someone else own it. Today I want to slow down on the middle one because context is where I see most men give up before they ever get a real result. Here's the pattern: a man hears about AI, gets curious, opens it up, and types in something like write a proposal for a client or draft a response to this complaint. What comes back is fine, generic, technically correct, and completely wrong for the business. Wrong tone, wrong price range, you know, missing the one detail that actually matters to his client. He tries it, you know, twice more, gets the same flavor of almost right, and closes the tab, telling himself AI is overhyped and does not understand his business. He is right about one thing. It does not understand his business. Nobody told it anything. Think about the best hire you've ever brought on. Someone sharp, capable, the kind of person who should have been great from day one. Now picture, you know, handing them a client question on the first morning with zero training. No idea what you charge, no idea what you will or will not bend on, you know, no idea how you talk to people who are upset. You know, they would either guess or guess wrong, and they would come and find you and ask, which puts you right back where you started, being the bottleneck. Nobody thinks that is the new hire's fault. It is obviously the owner's fault for skipping the training. And yet, men do this to AI constantly, expecting it somehow to already know their pricing, their standards, and their voice when they've never told it a single thing. I've watched this happen with real employees more times than I can count. The ones who struggle almost never struggle because they lack the talent. They struggle because nobody sat down and told them how things actually get done here, what the standing rules are, what matters most to the client, and what the boss would say if he were in the room. Once someone gets that, the same person who was fumbling starts making calls you would have made yourself. AI is not a person, but it works on the exact same principles. It is only as useful as what you have told it. And most men have told it nothing. I made this mistake early on. I opened up a chat and asked it to draft a reply to a client the way I would ask a stranger for directions, somehow to know the road already. You know, what came back and read like it was written for any business anywhere. Correct sentences, wrong company. I sent something similar to that a couple of times before. I caught what I was doing, and it embarrassed me a little bit, but because I would never have expected an employee to get it right under the same conditions. What changed things was not a better prompt. It was giving the tool the same thing. I would give a new hire on day one, what we do, who we serve, how we handle the calls that come up again and again, how I actually sound when I write something, not how a business is supposed to sound. Once that was in place, the same request that used to come back generic started coming back close, you know, to write the first time. Not perfect, you know, close enough that fixing it took you know two minutes instead of starting over. The cost of skipping this is not only wasted time either. You know, a generic email that goes out under your name still goes out under your name. A client does not know or care that AI drafted it. If it misses the mark, you know, that is a mark against you, not against the piece of software that will, you know, we'll never meet. The setup is not just about getting a better output. It is about protecting what your name is worth every time something goes out the door with it attached. You do not need a manual. You need four things written down once, and you know, then you're done rewriting them. The first is what your business actually does, in plain words, not a mission statement, you know, what you sell, but and and how you deliver it and what makes a job a fit or not a fit. This sounds obvious until you try to write it in five sentences and realize you know, half of it only ever lived in your head. The second is who you serve, the kind of client who is worth your time, you know, what they actually worry about, and how they talk when they describe their problem to you. This is the difference between a message that sounds like a form letter and one that sounds like you already understand the person reading it. Picture two versions of the same email. The first one is polite and empty, you know, thanks for your time. You know, let me know if you have any questions. The second one names the exact thing the client mentioned on the call, the timeline they're worried about, the reason they reached out in the first place, same request, same AI. And the only difference is whether it knew who it was writing to. Once you write down who your best clients actually are, what keeps them up at night, and the words they use to describe their own problem, every message it drifts starts sounding like it was written by someone who was actually listening. The third is your standing decisions, the calls you make the same way every time without thinking about it anymore. Your pricing floor, when you do and do not discount, how you handle a client who wants something outside the scope. Most owners have never written these down because they do not need to remind them. Most owners have never written these down because they do not need to remind themselves. But nobody else knows the rule, right? Including the AI, until you say it once. The fourth one is your voice, how you actually write, you know, when you're being yourself, not how you think a business letter should sound. You know, paste in three or four things you have actually written, the good ones, and let AI find the patterns in them, short sentences or long ones, warm or plain. You know, whether you open with a person's name or get started straight to the point, right? That pattern is worth more than any instruction you could type because it came from you instead of just from a guess about how you probably sound. Write those four things down one time, load them in, and every request from that point forward starts from your business instead of from nowhere. None of this needs to be long. I have seen men try to write a company manual when a single honest page for each of the four would have done the job. The goal is not a polished document, you know, sitting in a drawer somewhere. The goal is enough truth on the page that, you know, the AI stops guessing. Here's where this gets concrete. Say a client asks for a discount. If nobody has told the AI your actual rule, it will either refuse outright, which makes you look rigid, or hand out a discount that does not match how you actually operate, which costs you money and sets a precedent you did not choose. I hold my price for new clients and I make room for repeat clients because loyalty has earned something specific with me. That is a rule I use. And it took one sentence to write down. Once it is written, you know, every future draft that touches pricing followed it automatically. I was not reteaching the same lesson every time the question came up. I taught it once. That one sentence is worth more than an hour of clever prompting because a clever prompt only helps the request in front of you. The written rule helps every request like it from here forward. Here's the part that surprised me most. Once those four things are written down, they do not just make your own AI conversations better. They become something your team can use too. A written pricing rule does not only teach the AI, it teaches whoever on your team is handling that client question while you are somewhere else. Because now there's a clear answer instead of a guess dressed up as confidence. The same document that stops AI from inventing a discount stops a well-meaning employee from inventing one too. You end up with one source of truth for how your business actually operates instead of the truth, you know, living only in your head and coming out differently depending on who you ask and what mood you happen to be in that day. This is the same idea from the last episode, taken one layer deeper. Breaking the bottleneck is not only about handing off tasks. It's about handing off the knowledge that used to make you the only one who could take on the task correctly. Write it down once, and it belongs to everyone who needs it, not just to the AI. I understand why this gets skipped. It feels like homework standing between you and the thing you actually wanted, which was help right now. You are busy, the client is waiting, and stopping to write four documents feels like the opposite of saving time. There's also a quieter reason. Something in us expects the tool to already be smart enough to know what we need. The same way we expect a new piece of software to just work. AI is genuinely capable, and that capability creates an assumption that it should not need to be taught anything. That assumption is the whole problem. Capability and context are two different things. A brilliant new hire with zero context still gets the client's name wrong on the first email. And there's a third reason I do not hear men say it out loud, but I felt it myself. You know, sitting down to write out what you charge, you know, how you make decisions and how you actually sound feels, you know, beneath the work somehow. You know, like it should not require this much thought for a computer program. It does require the thought. Not because the AI is fragile, but because your business is specific. And specific is exactly what makes it worth running. The men who get real value out of AI are not the ones with better prompts. They're the ones who stop skipping the training. It takes one real sitting, an hour, maybe two, to answer those four questions honestly. You do not need to write from scratch either. You can talk it, you know, just out loud into your phone. Have the AI ask you questions the way I might ask you sitting across the table and let it draft the document from your answers. Then you read it, fix what is wrong, and you're done. That hour buys you every future request landing closer to right the first time. One more thing worth saying. You know, these documents are not a project you finish and forget. They grow the same way any set of house rules grows, you know, one correction at a time. You will catch AI making a call you did not agree with, maybe a tone, you know, that was a little too formal, or a decision on a gray area you would have handled differently. When that happens, you do not just fix the one output and move on. Add the correction to the document. Now that mistake cannot happen again. Not just, you know, this time, but every time going forward. A few months of catching and adding those corrections, you know, and you end up with something that reflects your business more accurately than anything you could have sat down and written on a blank page on day one. There is something underneath this that I think about more than most people would expect from a conversation about AI setup. Being lazy with the training and then blaming the tool is not really a technology problem. It is a stewardship problem, the same one that shows up anywhere we want the result without doing the part that makes the result possible. You would not expect a field to produce without planting anything in it. You would not expect an employee to represent you well without ever telling them what you stand for. And you should not expect AI to represent your business well while withholding the one thing it needs to do that. Taking the time to write down what your business actually does, who you serve, and how you sound, that is stewardship of the tool the Lord has put in your hands right now in this season, you know, to help you get back your time for what matters the most, skipping it, and then walking away frustrated is not AI's failure. It is a missed step that has an easy fix. Once this is in place, everything from episode you know two, the emails, the legal document review, the offer building, you know, it gets sharper because it is no longer starting from a blank page every time. And the bottleneck work from the last episode gets easier too, because the context that used to have to come from you every conversation now lives somewhere the AI can reach on its own. This one setup step is small compared to everything else in this series, but almost nothing else works well until it is done. If you have tried AI and walked away unimpressed, I would bet real money, this is one piece you skipped. Not because you know you're careless, but because no one told you it was the first step and not an optional one. I think about how much slower it would have been to build anything worth building, the podcasts, the businesses, the coaching, if I had refused to explain the job to the people I brought in to help me carry it. Nobody builds something that outlasts them by keeping the instructions locked in their own head. AI is not the exception to that. It is just the newest place that principle shows up. If you want help figuring out what belongs in your four documents or you're not sure where to start, come find me on Instagram at the WhitneySool and send me a message. Tell me what you have tried with AI so far and where it fell flat. I read them and I'll try to help you fill the gap. Thanks for being here.