4 Prompting Techniques That Make AI Writing Sound Human

Here are four prompting techniques that will make it so that your books will go from being obvious AI slop to being something that nobody would guess is

actually written by AI. It's that good.

I use these techniques heavily in my automations. I'm doubling down on all of

automations. I'm doubling down on all of them as I'm going through and creating my own tool for writing with AI. And

this is I believe these these four techniques if you can figure this out this is going to be extremely helpful for you in the writing process. Now most

people are not using these techniques because frankly if you're using them inside of a chatbot or something like that it might get a little tedious and most people aren't into that. And that's

why I use automations for a lot of these because it can run through several of these steps and techniques without me really having to supervise it. it just

does it automatically. But you can absolutely use all of these in the process. So let's dive into these four

process. So let's dive into these four techniques and figure out how can you level up your writing using all of these. The first is by utilizing checks

these. The first is by utilizing checks or critiques of your work. Now this

might sound simple, but a lot of people get this wrong. Let's say you've written a chapter using AI based on what you told it to do. There are going to be a lot of issues with that chapter right

out of the gate. It's going to have a lot of AISMs in it. It's going to probably have some poor writing examples in there, like maybe too many adverbs or something like that. And you ideally

would love to filter out as many of those things as possible so that you don't have to change it manually. And

then when you go in to fix it up yourself, you're only focusing on those aspects of the the world, the chronology, and just making it match

your own vision as much as possible. And

maybe just adding a little bit extra human uh flare to it uh that the AI wouldn't necessarily get, but we can at least minimize a whole lot of the issues

the AI has. So you're not just playing whack-a-ole with all of these issues that you're actually starting with a fairly clean draft from for you to work on. The way this would work is you take

on. The way this would work is you take your chapter and you would run a prompt on it that says something to the effect of I want you to search for all

instances of superfluous adverbs and come up with an improvement plan to remove these adverbs. Now this is the key point of a check like this. We're

not going to ask it to rewrite anything.

We're just going to ask it to create a plan on what it would change. This

allows it to focus on a very narrow set of parameters. And this is key to the uh

of parameters. And this is key to the uh to the checks approach is that ideally you want to focus on just a few things with each check. And thankfully, if you

narrow it down enough, you can use a really inexpensive model like say Gemini 3 Flash or or one of those to do this check. Uh because you've narrowed it

check. Uh because you've narrowed it down, like let's say we're only focusing on adverbs. You could have a check that

on adverbs. You could have a check that includes a giant list of a whole bunch of things that you wanted to watch out for, but that runs the risk of it getting uh too spread out in what it

does. If we focus what it what it looks

does. If we focus what it what it looks at, then we can do this. And then we can run multiple checks uh to fix this thing up. So you ask it for an improvement

up. So you ask it for an improvement plan and then in a second step to this, you ask it to incorporate the feedback from the improvement plan but to change

nothing else other than what was on the improvement plan. This is another key

improvement plan. This is another key aspect to it because if you don't do that, it's likely to rewrite the entire thing and do it probably worse than the

original uh draft was, especially if you're using a less powerful model in that reddraft process. But if you just asked it to change what was in the improvement plan and leave everything

else the same, you can use a lesser model to essentially improve your your draft. So, this is a technique that not

draft. So, this is a technique that not enough people are using partly because it takes quite a lot to go through all of these checks if you're just using a simple chatbot. Though, you can do it.

simple chatbot. Though, you can do it.

This is why I do it inside my automations where I will just have a series of these steps that it goes through and it just does them automatically. And you can have all

automatically. And you can have all kinds of checks. So you can have checks for adverbs, check for dialogue tags, checks for the logic and plausibility of the scene, checks for various types of

AISMs. Like you know that thing that AI does a lot where it says it's not just this, but it is also that. That's

something the AI does quite a bit. You

could create a check that specifically looks for that particular type of phrasing and gives you an alternative to say instead. And then you just run that

say instead. And then you just run that check and it filters out all of those things. It's the great way to to utilize

things. It's the great way to to utilize humanization in this whole thing. So,

that's the checks or critiques process and creating the improvement plan. It's

one of the most powerful ways to improve your writing as long as you have a solid series of checks and prompts for each one to go through and filter these things out. All right, the second key

things out. All right, the second key prompting technique that I think is much more important than people give it credit for is the value of context engineering. So context engineering is

engineering. So context engineering is this term that's come up recently. This

idea of just like it's not really about the prompt so much as the quality of the context that you give the AI. So from a fiction writer's perspective, this is

pretty obvious. This means like you give

pretty obvious. This means like you give it all of the information about your world, about your plot, about your characters that you want it to know. If

you don't give that information, it won't know. You know, it'll come up with

won't know. You know, it'll come up with something more generic that uh doesn't match your vision. Uh, but it actually goes a little bit beyond this. For

instance, if you're writing a chapter and you're providing it with a whole bunch of information, it might pick the wrong bits of information to write that chapter. Instead, we kind of want to

chapter. Instead, we kind of want to curate what gets fed into the AI's input when it's writing this chapter. So,

maybe only the characters that are in that scene or uh just the key details that it needs to know for that scene.

And if you're using a tool like Novelcfter, Novelcfter actually is excellent at managing your context and making sure that only the little bits of information that the AI needs to know

for that scene that you're writing is the stuff that the AI knows. Um,

Novelcfter can be a little bit of a complex platform, but it is excellent at context engineering. If you're running

context engineering. If you're running say an automation, which is how I do like 90% of my AI writing these days, I would put some steps in there that kind

of look at what needs to be written and then looks at the total character sheet and all of that and just selects the pieces that need to be used in that particular scene. And then those pieces

particular scene. And then those pieces are the ones that are passed on when writing the chapter. Another key aspect of context engineering that you need to keep in mind is not giving it too much

context. This is not just because you

context. This is not just because you don't want to give it information it doesn't need, but also because this can actually water down the prompt. I've

seen too many of examples of people putting their entire first book into the context while they're writing their second book. or even if they're writing

second book. or even if they're writing just the first book, they're they might have the entirety of everything that's been written up to that point available in the context as they're writing the

next chapter. And I strongly advise you

next chapter. And I strongly advise you don't do this because what you're doing is you're watering down the prompt.

You're making it so that if it needs to access certain details, it's like a needle in a hay stack. So part of context engineering is also providing the AI with succinct and important

summaries of the text that it needs to know. This is why I actually have an

know. This is why I actually have an automation that I use called creating a summary plus document. One that scans through your entire book and summarizes

each chapter one by one with just the key details from that scene like uh like it gives a a one paragraph summary of the scene. It gives the list of

the scene. It gives the list of characters that are in the scene and any descriptors of that character, what happens to them and a few other details

like that. And it condenses the amount

like that. And it condenses the amount of text that is used or it condenses the entire book into something that's much more manageable for the AI to

understand. And it also signposts

understand. And it also signposts everything so the AI can quickly find what it's looking for, [gasps] which is much better than just trying to dump the whole book in there and just hoping that it knows everything that's in the book,

which even though it's supposedly in its context window, that's not really how it works. The bigger the context, the more

works. The bigger the context, the more it has to sift through, the worse it gets at actually identifying relevant details that it needs for the scene. So,

this is why I tell people that you should try to minimize your context. Try

to keep it under 50,000 tokens if you can because that's just going to result in a higher quality output because of that. Quick pause. If you're an author

that. Quick pause. If you're an author who wants to start writing more books, I put together my complete AI prompt pack that helped me and many others in my community write a book in a month. It's

completely free. Hit the link in the description. Join the free weight list

description. Join the free weight list for StoryHacker Gold. Then you just answer a couple quick questions and I'll send you the full prompt list plus a few extra free goodies. I'll also email you

when I open the paid Story Hacker Gold group so you can join if it feels right.

There's no commitment to join, though, and you'll still be able to get all of the freebies you signed up for either way. All right, back to the video. All

way. All right, back to the video. All

right, the third major prompting technique is one I'm kind of excited about and kind of a new one, too. Uh,

this was first Future Fiction Academy came up with this idea that they call narrative physics. And I've expanded on

narrative physics. And I've expanded on it a little bit to where I think of it as sliders or you can think of it as game stats for different aspects of your

world. Now, this is still just a

world. Now, this is still just a prompting technique. There's really

prompting technique. There's really nothing crazy about it, but I'll give you an example of how this looks. And in

the future, I'll probably make a whole video getting going deep on one or more of these techniques, but uh here's the idea. If you have a character, let's say

idea. If you have a character, let's say you have a character bio for a character that's in your book, and you include that character bio in every scene that that character shows up in. Well, what

if that character changes across the course of the story? And what if their emotions are in the same in a different place so that they react differently?

Like you might have a character who is normally a very nice person but under a massive amount of stress might break and like kill somebody, you know, like under the right circumstances. I feel like

there's a a joke there from like the Dark Knight and the Joker that if you just give people a little push, they'll do anything, right? That's this idea that people behave differently in different situations. And so what I came

different situations. And so what I came up with and this the while the concept of these narrative physics is something that feature fiction academy came up with. I have not seen any of their

with. I have not seen any of their prompts. I have no idea how they do what

prompts. I have no idea how they do what they do. I came up with my own based on

they do. I came up with my own based on their concept. And the way I came up

their concept. And the way I came up with it was this idea of sliders.

[snorts] Um, so for every character, I will now give them sliders for things like stress

to uh harmony uh or or peace, right? And

if they're like uh a number 10 on the harmony side, there might actually be like two harmonious and a little bit too out of it, like maybe they're on drugs

or something. Uh, but if they go all the

or something. Uh, but if they go all the way to the other side of the slider, like a -10 on the stress side, they're like so stressed, they're having a panic attack, they're they're literally on the

verge of dying. Um, whereas we can pick somewhere in the middle is where their baseline is. And then for each scene, we

baseline is. And then for each scene, we can get the AI to identify, okay, where are they still at their baseline or have they moved up or down from that baseline. And what this does is is it

baseline. And what this does is is it allows the characters to shift and react more realistically to the scene. And so

this is an excellent technique to get a little bit more variation about your character so they don't always sound monotone and the same all the time. It's

also an excellent technique if you use something similar for say you have a magic system, right? How does what are the rules of that magic system? How does

it work? What are the costs? All of

that. making sure you you establish all of those things in almost a computer-like or gamelike way with actual numbered stats and things like

that that can then change and evolve over the course of the book. You can

even do this with certain emotions that you want to get across inside of the of the story, like the amount of tension that's in a scene. You know, what's that

look like on a slider, right?

uh or the amount of uh spiciness in a scene. What's that look like on a

scene. What's that look like on a slider? Right? Sometimes you're going to

slider? Right? Sometimes you're going to have zero spiciness because the characters hate each other or something like that. Some sometimes you're going

like that. Some sometimes you're going to have like in a romance you'll have it go up and down, up and down and up and down, but slowly getting bigger and bigger and then suddenly like bam, right? Uh you can take it all the way to

right? Uh you can take it all the way to a number 10, which would be like pornographic erotica, right?

Um, so that's the kind of thing we're talking about here is different sliders, different ways of telling the AI this is the sort of tension that we're looking for. This is where the character is at

for. This is where the character is at in terms of their own sliders and so on.

And so this is a really cool technique that I'm excited to be playing with more in the future. All right, the last technique that I really want to talk about is for lack of a better term, I'm

just calling calling it layering. All

right. And this is the idea that we can actually utilize multiple strengths of multiple different LLMs in one batch.

And rather than just choosing one LLM to give us everything that we want it to give us, we can take it in steps and use different LLMs for each step. This not

only allows us to play to the strengths of the LLM, but it also allows us to kind of avoid some of the sameness that we get from any one LLM. For instance, I

love the Claude models. I love Claude 4.6 Opus, which is the most recent one as I'm recording this. And but when I work with it too long, it starts to all

sound a very similar kind of tone all the way through. This layering technique allows us to mix it up a little bit and make it a little bit better. So what

would this look like in practice? So for

instance, the Gemini and the chat GBT models tend to be really good at uh logical thinking and structuring things.

And so maybe we could start out by having them look at the information we provided about the scene and say, "Okay, let's expand this and create a scene brief." And so it creates the scene

brief." And so it creates the scene brief along with all the little things that we need it to have. And then uh we know Grock is really good at dialogue.

So then maybe we could pass the scene brief over to Grock and be like, "Can you create a dialogue only draft of this and just put in little placeholders with a little bit of blocking for what

happens in between the dialogue?" And

then from there, we pull it over to let's say Gemini. And uh Gemini is pretty good at pros overall, but uh not as good at other things. So we can say,

"Write all the pros, you know, fill in all the pros for this. identify the

chill scenes and write all the pros for this stuff. And uh then we pass it over

this stuff. And uh then we pass it over to Claude Opus 4.6 and be like, "You're really good at writing really serious, dramatic, climactic scenes. go through

anything that's left in this scene and write in those little bits and uh and bringing all bring it all together so that now you have a chapter that's been gone over by like four or five different

LLMs all providing what makes them unique to them and you end up with a chapter that is absolutely mindblowing compared to what you would get if you

just went to Claude or Gemini and asked it to write the whole chapter in one go.

This is a really powerful technique that I think a lot of people aren't utilizing. It does admittedly increase

utilizing. It does admittedly increase your costs of being able to do this. Um,

especially if you're using an API, it's going to take more, especially if you're doing this in like an automation type of format. It's going to take a lot more

format. It's going to take a lot more money to do that. But if that isn't an issue for you, this could be an incredible way to get really, really good results out of your LLM, especially if you combine it with the context

engineering and the checks and critiques and the uh narrative physics and the sliders. You combine all of these

sliders. You combine all of these together, you're going to get some pretty fantastic results. Uh, so these are some four pretty advanced tools that I think are really helpful for you if you want to get access to a lot of my

stuff, uh, including all of my automations that get into this sort of thing that I'm currently building as we speak. Um, you can access the story

speak. Um, you can access the story hacker gold group down below. And if

it's on the waiting list when you join, you'll actually get a whole bunch of my prompts all for free that you'll that'll just be sent to your email when you join the wait list. And then you can, you know, join the story hacker gold group

when it opens more publicly.