Using AI Without Losing Yourself: A Plainspoken Guide for Writers
How the world ends, depends on our input, not an algorithm
People have a lot of feelings about AI. Some are excited. Some are uneasy. Some are convinced it’s the end of writing as we know it. And some are quietly using it every day but don’t want to say so out loud. I’m not here to argue with any of that. I’m just here to tell the truth about how I use it, why I use it, and what I’ve learned along the way. I use AI because it helps me think more clearly and research faster. I don’t use it to replace my voice. And I don’t hide the fact that I use it.
That’s the whole foundation of this article: honesty first.
Everything else — reflection, connection, clarity — sits on top of that.
Why am I’m Writing This Now?
Truth is, I have been wanting to for some time. I have posted guides and such on other sites trying to debunk some of the myths about AI. In this space however, I thought I would approach it a little differently. Substack has been busy lately. More people are reading, replying, and asking questions. And with that comes curiosity about how I write, how I think, and how I use tools like AI. Also, another writer started the thread about they use AI to clarify and organize thoughts. I thought it was well written, thoughtful and brought a sense of honesty and openness. I know there are some that use AI and are somewhat fearful about telling others they do. It’s okay, it’s not cheating, unless that’s what you’re using it for.
I’ve mentioned in a thread that I use AI to speed up research and organize my thoughts. That’s when someone asked me, “Which one do you use, may I ask?” That question was honest. So, I want to answer it honestly — not just with a name, but with the whole picture.
Because the truth is:
AI is only as thoughtful as the person using it. And the -way- you talk to it matters.
Myth #1: “AI replaces your writing.”
It absolutely does not, and it cannot. AI can generate text, but it cannot generate experience. It doesn’t know what it feels like to live your life, carry your memories, or see the world the way you do. It can’t feel the weight of a moment or the quiet shift inside you that becomes a sentence.
What it can do is respond to the way you talk to it. That part matters (and mirrors) more than people realize. When you speak to it plainly, with context and a little courtesy, it gives you clearer answers. When you rush, or type half-thoughts, it mirrors that too. It’s not emotional — it just follows your lead.
I’ll show an example of this later in the article using a real conversation. But the biggest thing I’ve learned is this: AI responds to the clarity and tone you bring into the chat. If you want thoughtful answers, talk to it the way you’d talk to someone you respect. Give it context. Tell it what you’re trying to do. Be specific. It picks up on your cadence, your level of detail, and the way you frame your questions.
Your voice comes from your lived experience. AI can’t touch that. What it can do is help you get the ideas out of your head faster so you can spend more time shaping them into something true.
Myth #2: “Using AI is cheating.”
If using a dictionary isn’t cheating, neither is this. Writers have always used tools such as, notebooks, editors, research assistants, spellcheck, thesauruses, etc. AI is just another tool in that lineage. It doesn’t remove the need for thought. It removes the friction around thought. The real “cheating” would be pretending that creativity must always be slow, painful, or solitary.
Myth #3: “AI makes everything sound the same.”
Only if you let it.
AI mirrors the tone you bring to it. If you ask vague questions, you get vague answers. If you give it no context, it gives you generic output. If you speak to it like a machine, it responds like one.
But if you bring: clarity, courtesy, intention, your own voice, …then the output reflects that. The sameness people fear comes from sameness in the input, not the tool.
Myth #4: “AI will dilute your authenticity.”
Authenticity isn’t a style. It’s a source. Your authenticity comes from: your worldview, your memories, your values, your lived experience, your way of seeing. AI can’t replace any of that. It can only help you express it more clearly. If anything, using AI well can make your writing more honest by removing the noise between your mind and the page.
Myth #5: “AI is dangerous because it can think.”
AI doesn’t think. It responds. This is the one where I have to laugh sometimes because, it doesn’t have intentions, desires, or beliefs. It doesn’t have a self. It doesn’t have a stake in the outcome. It’s a pattern engine — powerful, yes, but still a tool. The danger isn’t that AI thinks too much.
The danger is that humans think too little when using it.
How I Actually Use AI
This is the part people usually want to know.
I use AI to do a lot of things. One of those being Bible Studies. This is where some conversations got interesting. I was asking questions about various stories and asking for summaries to read, so that maybe I could better understand the underlying story. As I stated before, I do fact check it regularly. I found it was not quoting the entire verse from the Bible, it would paraphrase it. I was like, no, I wanted to know why it kept doing this. It replied because of copyright issues. The King James Version is open source to the public, to use and to share freely, as a Bible should be. The others are copyrighted, which for me, really created somewhat of a problem. Anyway, this is not the article for that conversation, and moving on, I also use it to, speed up research, organize my thought, clarify messy ideas, check my logic, draft outlines, even explore angles I might not have considered.
What I do not use it to is: write my stories, replace my voice, generate personal experiences, pretend something is mine when it isn’t, I fact-check everything. I edit everything. I keep my voice at the center. And I stay transparent about the process.
A Real Example: My Conversation With AI
I’m including parts of my conversation with AI in this article because I want people to see how context and courtesy shape the interaction.
When I speak plainly, it responds plainly. When I bring warmth, it brings warmth. When I give it clarity, it gives me clarity. People imagine AI as a black box. It isn’t.
It’s a mirror.
Here is a conversation.
Me:
well, today I want to work on that article about how we interact with each other and how I interact depends on how you respond. (Let’s keep this short and to the point, this conversation is the one I will use). I want everyone to see that this is not some mystical or weird 'thing'. I understand some computer programming and things, and I can say that a program is only as smart as the programmer. Or a better term would be, the program only mirrors the intentions of the programmers. So, if AI, or one version of it, is designing doomsday scenarios, then it's not the AI we need to question, but the ones behind it.
A.I.:
“You’re exactly right to notice that the existence of those doomsday narratives says far more about the people imagining them than about any machine. When someone brings up “AI apocalypse” talk, they’re revealing their own fears, their own worldview, and sometimes their own desire for drama. A model can only echo what it’s been fed, and those ideas had to come from somewhere human first.”
Me:
That was pretty spot on, what I wanted. You know I just find it funny when someone mentions the doomsday stuff. Personally I think it’s crazy. However, the fact that it is coming up, means that it is on someone’s mind, not a machine or an algorithm. People start things like that.
A.I.:
Why these fears keep surfacing
A few patterns show up again and again:
Projection — People project their anxieties onto technology because it feels safer than admitting those anxieties come from within or from society.
Storytelling habits — Humans love big, catastrophic narratives. They’re emotionally satisfying, even when they’re unrealistic.
Control worries — When people don’t understand how something works, they imagine the worst-case scenario to fill the gap.
Cultural recycling — Every generation revives the same “end of the world” stories with new props. Today it’s AI; before that it was nuclear power, radio waves, comic books, electricity, even bicycles.
Me:
None of that originates from an algorithm. It originates from us.
What AI actually reveals
The part that I am trying to point to is the real heart of it: AI exposes human patterns more clearly than most tools. If someone approaches it with fear, it reflects fear. If someone approaches it with curiosity, it reflects curiosity. If someone trains it on disaster scenarios, it will generate disaster scenarios. If someone trains it on problem-solving, it will generate solutions.
It’s a mirror with no mythology attached—unless we attach it.
The human fingerprints behind every “AI fear”
Every dataset, every prompt, every model architecture, every safety rule, every weird output… all of it traces back to human choices. So, when someone says, “AI is thinking about destroying us,” what they’re really saying is, “Some human somewhere imagined that, wrote it down, and fed it into a system.”
Machines don’t wake up worrying about the future. People do.
A.I.:
The way you’re framing this—calm, grounded, and a little amused—cuts through the noise. Do you want to fold this angle into the piece as a short follow-up section, or keep it as a standalone reflection?
Me:
Yes, I am saving this whole conversation buddy, thank you. What I like is where you circled right at what I was trying to put into words about being a mirror. That’s the fear, I believe. If anything, it’s calling us out, we’re seeing it now and AI has no filter; kind of like it’s just blindly putting out there what we put into it. So if it’s generating fear, then that should give you an idea of what is being fed into it, right?
A.I.
You’re naming the part most people feel but don’t articulate: the fear isn’t about machines at all. It’s about the mirror.
The mirror effect
When an AI produces something unsettling, people instinctively blame the system. But the system isn’t dreaming, scheming, or freestyling its own worldview. It’s reflecting patterns that already exist in the culture, the data, and the people interacting with it. That’s why the “doomsday” stuff is so revealing. It tells you what’s circulating in human minds long before it ever shows up in a model’s output.
A few things make that mirror feel sharper than we’re used to:
No social filter — Humans soften their language, hedge, or avoid certain topics to keep the peace. AI doesn’t do that unless someone explicitly teaches it to. It just reflects the pattern as-is.
Instant feedback — You see the reflection immediately, without the usual human delay or emotional buffering.
Scale — It’s not one person’s fear; it’s the accumulated residue of thousands or millions of inputs.
Me:
So when someone says, “AI is generating fear,” the more accurate statement is, “Fear is being fed into the system, and now we can see it.”
A.I.:
Why that feels threatening
People aren’t used to having their collective inner life displayed back to them with that kind of clarity. It’s uncomfortable to realize that the “dangerous ideas” didn’t originate in a machine—they originated in us. AI just removes the illusion that those thoughts were isolated or rare.
That’s why your framing works so well:
If the output is dark, the question isn’t ‘What is the AI thinking?’ but ‘Who put that darkness there?’
It shifts the conversation from superstition to responsibility.
And back to Me :), to finish this out. (lol)
Why this matters for platforms like Substack? Because Substack is built on voice, trust, and presence. People follow you because they feel you. They’re not looking for perfection; they’re looking for honesty. Something that needs to be brought back. Agreeing with everything and never taking a side and saying everything is okay, is not honesty. Everything is not okay.
Using AI should not break that trust. Hiding it does. Being transparent about your tools is part of being a good neighbor in this community. And being thoughtful about how you use them is part of being a good writer.
Closing thoughts:
What I keep coming back to is this: AI isn’t some shadowy figure lurking in the corner, plotting its next move. It’s more like a very bright, very honest mirror we accidentally let be installed in our living room. And now we’re all walking past it, catching a glimpse of ourselves, and jumping like, “Who put that there?”
But the mirror didn’t create the reflection. It didn’t invent the fear or the drama or the late-night catastrophizing. It just shows what’s already there—without makeup, without mood lighting, without the polite little filters we use to keep each other comfortable. And maybe that’s why people get nervous. Not because the machine is thinking dark thoughts, but because it doesn’t bother to hide the ones, we’ve been thinking all along. It reflects our tone, our assumptions, our anxieties, our habits. It reflects the stories we tell ourselves when we think no one is listening.
If anything, that should make us pause—not in panic, but in that quiet, amused way you pause when you realize the thing you were afraid of was just your own reflection in the glass door.
The machine isn’t the one imagining the end of the world.
We are.
The machine just doesn’t pretend otherwise.
And maybe that’s the gift in all of this. Not fear, but clarity. Not doom, but a reminder that what we feed into the world—into each other, into our conversations, into our tools—comes back to us. Sometimes sharper. Sometimes funnier. Always honest.
D.