Many people have misgivings about AI, especially the generative flavour. It’s not really intelligent, they say. It has no feelings. Fine. I’ll cede those points without so much as a flinch.
But here’s the thing: some use cases don’t require intelligence, and feelings would only get in the way.
Take one of mine. I feed my manuscripts into various AIs – is that the accepted plural? – and ask them, “What does this read like? Who does it read like?” I want to know about content, flavour, format, cadence, posture, and gait.
A human could answer that too – if that human had read my manuscript, had read a million others, and could make the connexions without confusing me with their personal taste, petty grievances, or wine intake. AI just spits out patterns. It doesn’t need a soul. It needs data and a difference engine.
Cue the ecologists, stage left, to witter on about climate change and saving the whales. Worthy topics, granted, but that’s a different issue. This is where the conversation slides from “AI is bad because…” to “Let’s move the goalposts so far they’re in another sport entirely.”
I’m not asking my AI to feel, or to virtue-signal, or to single-handedly fix the carbon cycle. I’m asking it to tell me whether my chapter reads like Woolf, Vonnegut, or the back of a cereal box. And for that, it’s already doing just fine.
Let’s get this out of the way: Sturgeon’s Law, ‘90% of everything is crap‘, isn’t pessimism, it’s statistics. That includes your favourite novel, the collected works of Joyce, and, yes, AI-generated text. The key point? If AI has the same bell curve as human output, some slice of that curve will still be better than what most people write. If Pareto’s Rule feels better at 80%, I’ll cede that ten points.
90% of everything is crap
— Sturgeon’s Law
And before anyone gets misty-eyed about “human genius,” let’s remember that the average American adult reads at a 7th or 8th grade level, and more than half read at or below a 6th grade level. Nearly 1 in 5 reads below a 3rd grade level. That’s not a moral failing, but it is a market reality. We can wail about AI not producing the next Nabokov, but let’s be honest, Nabokov isn’t exactly topping the Costco bestsellers table.
Audio: NotebookLM podcast on this topic
Here’s the bit nobody wants to say out loud
AI doesn’t have to dethrone the literary elite. It just has to outperform the mass of competent-but-unremarkable human writers serving an audience who, frankly, doesn’t care about “stylistic nuance” or “metafictional self-reflexivity.”
There’s a vast literary middle ground – corporate copywriting, trade journalism, formulaic romance, SEO blogs – where AI will not just compete, but dominate, because the audience is reading for function, not art.
The high-literary crowd will remain untouched, partly because their readership fetishises human intentionality, and partly because AI doesn’t yet want to write about the precise smell of sadness in a damp Parisian garret in 1934.
The fearmongering about AI “killing literature” is a bit like saying instant ramen will kill haute cuisine. Yes, more people will eat the ramen, but Alain Ducasse isn’t sweating over his stock reduction.
More than half of American adults read at or below a sixth-grade level.
The printing press was supposed to obliterate the artistry of the hand-copied manuscript. Instead, it made books accessible and created new genres entirely. Calligraphy still exists, it’s just no longer the only way to get words on a page.
Photography was going to end painting. In reality, it freed painters from the burden of strict representation, allowing impressionism, cubism, and abstract art to flourish.
Recorded music didn’t destroy live performance, it expanded its reach. Some audiences still pay obscene amounts to see an actual human sweat on stage.
Film didn’t kill theatre; it created a parallel art form.
Synthesizers didn’t erase orchestras; they just meant you didn’t have to mortgage your house to hear a string section in your pop song.
AI is simply the next entrant in this long tradition of “threats” that turn out to be expansions. It will colonise the big islands of the creative archipelago – commercial writing, functional prose, genre boilerplate – and leave the small monasteries of high art mostly untouched.
So, no, AI won’t be the next Mozart, Picasso, or Nabokov. But it doesn’t need to be. It just needs to be good enough to meet – and occasionally exceed – the expectations of the largest share of the market. And given that most readers are happy if the plot makes sense, the spelling’s passable, and the ending doesn’t require a graduate seminar in semiotics to decipher, I’d say AI’s prospects are rather good.
Here’s why that 10% still matters
The rarefied work of the serious literary writer isn’t competing for market share; it’s preserving and evolving the cultural and linguistic possibilities of human expression. That work thrives not because it’s the only thing available, but precisely because it stands apart from the sea of functional prose, human or machine-made. The AI tide will rise, but the lighthouse will still be human.
The hand-wringing over AI-assisted writing has become the new parlour game for those with literary pretensions. You’ve heard the refrain: It’s not real art. It’s cheating. It’s not proper literature. The pearl-clutchers imagine themselves defending the sanctity of the novel against an onslaught of silicon scribblers, as though Wordsworth himself might be weeping in a Lake District grave at the indignity of a chatbot helping you outline Chapter Three.
Audio: NotebookLM podcast about this topic
Here’s the problem: most art isn’t high art, and most writing isn’t literature. Perhaps yours, possibly mine, but most books sold today don’t even aspire to qualify as literature except in the broadest of terms – having been read. The majority of books on the shelf, those stacked to the rafters in airport WHSmiths and sprawled across the Kindle top-sellers list, are to literature what chicken nuggets are to fine dining. Perfectly enjoyable, but you don’t see Heston Blumenthal demanding they be served in a Michelin-starred tasting menu.
And that’s fine. Truly. Because the vast majority of readers aren’t combing through your prose for transcendence or stylistic innovation. They’re not here to wrestle with postmodern irony or wrest meaning from a fragmented narrative. They’re here to escape the tedium of their commute, to zone out after a long day, to gobble up familiar tropes like comfort food. Sometimes they want plot, sometimes they want romance, sometimes they want dragons and space marines and improbably muscular men named Rafe. What they don’t want is a lecture on the ontological integrity of the creative process.
The AI panic brigade, however, would have you believe that unless your novel was forged through the arduous labour of pen and paper, or at least a keyboard, with the requisite quota of caffeine and self-loathing, it cannot possibly be authentic. To which I say: nonsense. We’ve been “cheating” for centuries. Typewriters. Word processors. Spellcheck. Thesauruses. Collaborative editing. Ghostwriting. For heaven’s sake, most of your favourite “high art” authors had assistants, editors, or outright amanuenses polishing their sentences into the very state of grace you now venerate.
There’s also the small matter of motive. Very few writers are chasing pure artistic expression, many are chasing rent money, Amazon rankings, or a book deal that might finally cover their overdraft. That’s not cynicism, that’s survival. And survival has never given a toss about whether the means of production are sufficiently Romantic for the sensibilities of the literati.
If anything, AI merely exposes the uncomfortable truth: most writing is a craft, not a sacrament. It’s a process of assembling words into a functional, sometimes moving, occasionally transcendent arrangement. And like all crafts, it has tools. Some tools are chisels, some are typewriters, and now some happen to be algorithms with more patience than your average beta reader.
So, if someone wants to use AI to crank out the next mass-market thriller, let them. It’s not threatening literature because it was never in literature to begin with. And if they want to use it to experiment, to push boundaries, to hybridise forms, that’s art too. High or low, it all ends up in the same place: on a page, waiting for someone to care enough to read it.
Why? Because nuance is no longer welcome in the Church of Sanctified Scribes. I posted a sincere question about using generative AI as a preliminary editorial tool — a sounding board before I hand off to my actual human readers.
I run my scenes through various Al platforms for feedback before I engage the final work with human readers. It’s faster. Is it good enough for preliminary guidance? I tend to get significantly more positive than negative feedback, so either I am a kick-ass author (because, of course, I am) or I’m being misled. I like to think the former, but cognitive biases overindex in that direction.
Does anyone here have any thoughts on this? I asked Al. It told me not to worry.
NB: I employ the usual suspects: ChatGPT, Claude, Grok, Meta, DeepSeek, and Gemini.
That’s it. That’s the crime.
🚫 Sorry, this post has been removed by the moderators of r/FictionWriting.
The post was removed. Some members responded with superstition, invoking the tired myth that AI would “steal” my work. (That is not how model inference or fine-tuning works. But facts, as ever, are inconvenient.)
Then came the moderator’s edict — Orwellian in tone, the sort of thing you’d expect from a self-published Torquemada:
You are breaching the unspoken moral ethics of writers and authors worldwide for advocating for, suggesting the use of, or admitting to relying on A.l for your writing.
If you didn’t already know: this is bad.
A.I-written work is not your writing. Do not be proud of it. You also do not own it. Two or more of these offenses and you will be permanently banned.
What exactly am I being accused of here? Heresy? Possession of forbidden tools? Thinking aloud?
For the record, I do not outsource my prose to machines. I use AI to assist my thinking — much as one might use spellcheck, Grammarly, or, dare I say it, a fellow writer’s feedback. The fact that this needs to be explained is testament to the intellectual rot at the core of certain writing communities.
And here’s the real punchline: many of those decrying AI as the Antichrist of Authorship haven’t published a thing. Or if they have, it’s in the same low-distribution trenches I inhabit. The difference is, I don’t shun tools because they threaten my imagined purity.
I write because I must — because I enjoy it, because I want to get it right. And yes, if an AI helps me catch repetition or poor rhythm in a sentence before a beta reader ever lays eyes on it, that’s a win.
But you’d think I’d pissed on their typewriters.
Let’s be clear: this isn’t about AI. It’s about fear. About guarding crumbling gatekeeping structures with sharpened pitchforks. About people clinging to their fragile sense of identity — one threatened not by AI, but by other writers doing things differently.
So, yes: good riddance. I’ll take my questions elsewhere, where open minds still exist.
Too many people don’t understand how generative AI works. Not civilians. Not your mum. Not even your dog (though he’s probably got better instincts about plot pacing than half of #WritingCommunity). No, the truly confused are writers. Authors. Editors. The ink-stained guardians of literary virtue who see AI and scream, “Plagiarism!” before they even read the terms of service.
Audio: NotebookLM podcast on this topic.
I posted a question on a Reddit forum for Fiction Writing—because I’m a glutton for punishment—and within seconds, the doomsday chorus began. “Don’t share your work with AI!” they cried. “It will steal your ideas!” As if ChatGPT is some sentient literary magpie with a fetish for your rough draft.
Another chimed in: “They’ll use your words to train future models!” Yes, Brenda, because your glacially paced fantasy epic with twelve warring kingdoms and three prologues is the key to cracking AGI.
Let’s set the record straight. This is not how AI works. Models are trained, and then they’re deployed. That’s it. Done. Finished. They’re not learning from your prompts any more than your toaster is evolving every time you burn the crumpets. The AI doesn’t remember you. It doesn’t save your work to some secret vault labelled “Possible Booker Prize Winners—Do Not Delete.”
Unless you deliberately cache content into a persistent memory—and you’ll know, because the interface reminds you like an overzealous librarian—it’s gone. The machine forgets. Your precious prose vanishes into the void, right alongside your childhood dreams of being discovered at Starbucks by a passing Penguin editor.
But what this really exposes is a deeper, older neurosis: the idea that someone—AI, human, interdimensional elf—is going to steal your genius. And you’ll be left penniless while they ride your glittering words all the way to a Netflix deal.
This is why some of these folks won’t share their work with editors either. Or beta readers. Or critique partners. Because someone might steal it. As if the entire industry is just waiting to snatch up your unproofed, comma-spliced debut and slap a different name on the cover. The paranoia is delicious. Also tragic.
Here’s the thing: no one is stealing your manuscript. Mainly because no one wants it. Yet.
You know who does get their work stolen? People who publish. People whose work is finished, polished, and out in the world. And even then, it’s usually pirated by some bot-run content farm in Indonesia, not secretly optioned by HBO.
Meanwhile, you’re clutching your WIP like it’s the Dead Sea Scrolls. You won’t let AI see it. You won’t let an editor see it. You won’t even let your cat walk across the keyboard while it’s open. And so, it rots. In obscurity. Like 99% of manuscripts that die not from theft but from neglect.
Look, I’ve been around since Wave 3 of AI. Back in the ‘90s, we called them “expert systems,” which is just a fancy way of saying “spreadsheet with delusions of grandeur.” They weren’t intelligent. Neither are today’s models, frankly. But we gave them a sexier name and suddenly everyone’s worried they’re going to replace Shakespeare.
Newsflash: AI isn’t going to write your book. But it might help you finish it—if you’d just stop screaming and let the damn thing look at a paragraph.
In short: AI is not your enemy. Editors are not out to get you. And the only person likely to sabotage your novel… is you.
I run my scenes through various AI platforms for feedback before I engage the final work with human readers. It’s faster. It’s good enough for preliminary guidance.
Or is it?
Whilst I do get some negative and constructive feedback, most of it is positive. Either I am a kick-ass author (because, of course, I am) or I’m being misled. I like to think the former, but cognitive biases overindex in that direction.
This sequence reads as a brutally authentic, psychologically immersive descent into the grim realities of addiction-fueled survival sex work, marked by razor-sharp internal monologue and visceral tension. Here’s how the elements coalesce:
[REDACTED]
Overall Impression
This is Hubert Selby Jr. by way of Trainspotting—a fever-pitch descent into the American underbelly. The prose’s fragmented style forces readers into the protaganist’s exhaustion, while the [REDACTED] climax underscores the central theme: Everything in her life is a [REDACTED] promise. [REDACTED]—all prove worthless.
Yet her darkly witty voice (“[REDACTED]“) grants her a shred of dignity. Devastating, but masterfully executed.
(Note: The formatting—italics, line breaks, punctuation—is essential. It transforms text into a psychological battleground.)
NB: I redacted spoilers as these ae essential for a first reading.
PS: I’m using older Midjourney renders for the cover images, so I can not spend time or energy generating new ones.
How do you use AI to assist your writing or editing process? As I’ve shared before, I use it extensively for research, where previously, I would have used Google, a library, or personal books or journals. I use them for proofing, editing, and alpha and beta reading. Today, I’m editing.
I’m still editing the manuscript for Needle’s Edge. When I finish a scene or a chapter, I run it through several AI platforms – the usual suspects: ChatGPT, Claude, Grok, Meta, DeepSeek and Gemini – with a simple prompt:
how does this scene read?
Usually, I copy-paste the content, but this manuscript also relies on presentment, so I share a screen capture instead. Rather than share the pages, I share the line I am discussing here:
Image: Excerpted line from Needle’s Edge
From this, DeepSeek shared this as part of its “thinking” process.
The writing style is very visceral and fragmented – short sentences, intentional misspellings (“c-noses” for cash, “waigh” for might), and stream-of-consciousness elements. This creates an immersive, uncomfortable reading experience that mirrors Sarah’s physical and emotional state.
Interestingly, there were no intentional misspellings. DeepSeek’s OCR failed and mistook ‘c-notes’ for ‘c-noses’, and then tried to interpret the results. I couldn’t determine where it got ‘waigh’. There is a word ‘might’ per its comment, but I don’t see how it confuses that. No matter.
Still, its assessment feels close enough, and a reminder that grammar and syntax are less important than one might (waight?) believe.
Overall Impression:
The scene is powerfully distressing. It doesn’t glamorize or moralize; it simply shows the brutal, day-to-day reality of addiction and survival on the margins. It’s effective in conveying:
Physical Horrors: The relentless pain, discomfort, and bodily damage.
Psychological Toll: The desperation, numbness, fleeting panic, and dangerous denial.
Social Environment: The hostility, degradation, danger, and shared, traumatic knowledge of the street life.
Hopelessness: The cycle of seeking relief only to encounter worse consequences, underscored by the memory of others’ fates and the resigned “never again” that likely won’t hold.
It’s a difficult read due to its unflinching portrayal of suffering and decay, but it’s compelling in its raw authenticity and visceral impact. The style perfectly matches the content, immersing the reader in Sarah’s painful, precarious world.
I was feeling smug. Fourth revision pass. Plot matrix built. Columns for chapter, scene, POV, date, time, location, word count, and emotional arc – because I’m that kind of monster. I even added colour-coding.
And it worked. Mostly.
After pruning and polishing, it finally felt ready to ship. Just a couple cosmetic tweaks. A trim here, a varnish there. Run a lint roller over the dialogue. Call it done.
Except.
The matrix – traitorous little bastard – exposed a structural fault so elegant I’d almost admired it. The problem? Pregnancy. Not mine, the protagonist’s. (Let’s not get ahead of ourselves.)
Turns out, I’d compressed over a decade of real-life events into two years of narrative space. Bold. Efficient. Reckless. I’d wrung out the filler, reshuffled a few puzzle pieces, and declared the thing plausible.
Only it wasn’t.
When I sorted the scenes chronologically, the matrix coughed. The story broke like a cheap lawn chair. There she was: visibly pregnant while also, somehow, gallivanting about in scenes that would’ve required a different physiology entirely. Not an Olympian, but the metaphor holds.
And that’s when it hit me: time may be a flat circle, but gestation is not. No amount of POV tricks or narrative backflips can make a third-trimester body do first-trimester things. Biology, the ultimate killjoy.
So now I’m doing surgery. Not delicate surgery, either. I’m sawing out whole sections, rebuilding connective tissue, and laying down scar tissue where the timeline used to be. I’ll need new plot scaffolding to support the pregnancy and its repercussions. It’s fine. It’s good. It’s hell.
This is revision. We go in thinking we’re buffing up the finish, only to discover we paved over a sinkhole.
I’ve got a bone to pick with Claire Fraise, dammit. I’ve lost 2 days I’ll never get back — including the time it’s taking me to create this post.
Claire shared a YouTube video on using plot grids for your writing process. Being me and heeding her advice, I decided to create a plot grid – I call it a plot matrix; same thing – for a project I am editing.
Video: What is a plot grid?
I should probably create a video response, but I didn’t have even more time to lose.
Full Disclosure: By lose time, I don’t want to imply by any means that this is wasted time.
Since the plot matrix I created is for an unpublished manuscript, I decided to create one for the first chapter of my published book, Sustenance. It contains two sections or scenes.
Audio: NotebookLM podcast on this topic.
I’ll share the process I used and reference the Excel document I created. Download it if you’d like to follow along.
After the explanations, I’ll discuss how I use ChatGPT to help me with this, as well as some challenges you may wish to be aware of.
Below is a screenshot of a portion of the plot matrix.
Image: Portion of plot matrix
I’ll start by sharing the column headers and a brief explanation of what each means. Some should be obvious, but I’ll describe them as well.
Narrative Order: The order a scene appears in the manuscript.
Chronological Order: The sequence in which events occur in story-time, enabling tracking of flashbacks or non-linear jumps.
Sentiment: A numerical indicator of the scene’s emotional tone, from deeply negative (–5) to strongly positive (+5).
Chapter: The chapter or section title in which the scene appears.
Plot Points: A summary of key events, revelations, or decisions that occur in the scene.
Time: When the scene takes place, whether exact or relative (e.g., “early morning,” “flashback,” “six months later”).
Primary Characters in Scene: The characters actively driving or anchoring the scene.
Secondary Characters in Scene: Important but less central characters who influence or are present in the scene.
Minor Characters in Scene: Tertiary figures mentioned or briefly appearing without narrative weight.
Word Count: The number of words in the scene, useful for pacing and balance.
Emotional Beat/Theme: The scene’s dominant emotional tone or thematic current (e.g., betrayal, longing, discovery).
Emotional State: The internal condition or affective register of the POV character(s) during the scene.
Scene Function: What the scene accomplishes narratively (e.g., exposition, climax, setup, reversal).
Character Arc: How a character is developing, stagnating, or regressing within the scene.
External Stakes: The tangible, real-world risks or consequences present in the scene.
Internal Stakes: The emotional, psychological, or relational consequences at play.
Needs Clarification?: A flag to indicate whether a scene contains confusing elements or ambiguous logic.
Revision Priority: A ranking of how urgently the scene needs refinement.
Conflict Type: The dominant form of conflict (e.g., internal, interpersonal, systemic, environmental).
Turning Point?: Whether the scene marks a key reversal or decision point in the narrative.
Turning Point Direction: Indicates the shift’s trajectory (positive, negative, neutral, ambiguous).
Direction Commentary: A brief rationale for how and why the narrative tone or direction changes.
Reinforces: Themes, motifs, or ideas the scene strengthens.
Undermines: Themes or ideas the scene weakens, contradicts, or questions.
Reveals: New information, secrets, or understandings brought to light.
Conceals: Key details or truths the scene deliberately withholds.
Distorts: Misunderstandings, biases, or unreliable elements introduced.
Inverts: Role, expectation, or thematic reversals subverted in the scene.
Echoes: Recurrent phrases, images, or patterns from earlier scenes or motifs.
Revision Commentary: Notes on potential rewrites, improvements, or cautions.
Punch List: Specific edits or action items needed in revision.
Resolved?: Whether the scene’s tension, question, or arc has been closed.
Location: Where the scene is physically set—important for continuity, blocking, and worldbuilding.
Iowa: Opening Scene
Narrative Order: The order a scene appears in the manuscript.
I am tracking scenes/sections rather than chapters because that’s the way I’ve organised the manuscript. I want to capture the smalled logical element of the story.
Being a spreadsheet, I need to keep track of the sections, so I give each scene a number. In this case, we are looking at section 1 of the narrative order, the first section a reader encounters.
Chronological Order: The sequence in which events occur in story-time, enabling tracking of flashbacks or non-linear jumps.
This manuscript has no flashbacks at this point, so the sequencing tracks 1-to-1. In the manuscript I am editing, it starts in media res, and there are two large jumps back and forth in time.
Being in a spreadsheet table, I can sort the story by narrative or chronology, which helps me track logical progressions that I might miss otherwise.
Sentiment: A numerical indicator of the scene’s emotional tone, from deeply negative (–5) to strongly positive (+5).
I like to track sentiment, so I can provide emotional dynamics to the reader. I don’t want to come across as bleak or euphoric for extended periods.
By this scale, 0 is neutral, -5 is gawdawful, and +5 is over the moon.
In these first two scenes, the protagonist, Kenny, is tracking just under baseline to neutral. Nothing much is happening emotionally, as we are just establishing the place.
Chapter: The chapter or section title in which the scene appears.
The name of this chapter is Iowa.
Plot Points: A summary of key events, revelations, or decisions that occur in the scene.
In scene 1, we have this:
Narrator establishes his identity, location, and tone.
Mentions girl, Bruce’s death, and being misunderstood.
Foreshadows larger story.
Time: When the scene takes place, whether exact or relative (e.g., “early morning,” “flashback,” “six months later”).
We are in the now.
Retrospective/Near-Present
Primary Characters in Scene: The characters actively driving or anchoring the scene.
This is a first-person, present, limited, deep POV story, so Kenny is one with the narrator.
Secondary Characters in Scene: Important but less central characters who influence or are present in the scene.
Kenny is just setting up the scene, and he mentions two secondary characters:
Bruce (mentioned)
‘Her’ (mentioned)
My preference is to scope the characters globally. This means that if some character interacts with a significant character but doesn’t appear elsewhere, I’ll consider them to be a tertiary or minor character. Some writers prefer to track these characters at a scene level. This is a personal preference.
Minor Characters in Scene: Tertiary figures mentioned or briefly appearing without narrative weight.
These are incidental characters that you might want to track in case you want to expand or adjust them.
Jake (mentioned)
narrator’s dad (mentioned)
Word Count: The number of words in the scene, useful for pacing and balance.
These are two short scenes: 247 and 502 words.
Emotional Beat/Theme: The scene’s dominant emotional tone or thematic current (e.g., betrayal, longing, discovery).
What’s going on here? Am I conveying what I aim to?
Isolation, defensiveness, curiosity
Belonging vs alienation; repetition vs rupture
Emotional State: The internal condition or affective register of the POV character(s) during the scene.
What’s the POV character feeling?
Guarded, nostalgic, lonely
Resigned, mildly boastful, reflective
Scene Function: What the scene accomplishes narratively (e.g., exposition, climax, setup, reversal).
Why does this scene exist? If it doesn’t serve a purpose, get rid of it, or give it one. Make sure every scene builds on characters or advances the plot.
Narrator introduction; frame story establishment; tonally primes the reader
Establishes rural setting, background on narrator’s world and connections, foreshadows disruption
Character Arc: How a character is developing, stagnating, or regressing within the scene.
Again, ensure your characters(s) have movement. In this story, there are several characters with an arc, but Kenny is the only one being tracked thus far. Being the start of the story, the question is, where does he go from here?
Establishes base-level insecurity masked by bravado
Solidifies narrator’s self-image and history within town hierarchy
External Stakes: The tangible, real-world risks or consequences present in the scene.
What external considerations might the character be making in this scene, whether they do or don’t do something?
Implied social stigma or alienation
Community perception and social standing
Internal Stakes: The emotional, psychological, or relational consequences at play.
What internal considerations might the character be making in this scene, whether they do or don’t do something?
Fear of being misunderstood or blamed
Fear of irrelevance, unresolved identity
Needs Clarification?: A flag to indicate whether a scene contains confusing elements or ambiguous logic.
When sketching a scene idea, you may have unresolved loose ends that you either need to tie up in the scene or somewhere else. Usually, this is more interested in making sure a reader doesn’t leave the scene confused — unless, of course, this is your intent.
Revision Priority: A ranking of how urgently the scene needs refinement.
This is important in a reviewing/editing phase. As you are cleaning up your manuscript, are there massive holes that need to be plugged, or might this just need some minor refinements?
Conflict Type: The dominant form of conflict (e.g., internal, interpersonal, systemic, environmental).
This could be a post of its own, so I won’t belabour the issue here. Readers like conflict. It gives something to resolve. Is this conflict related to the person, their past, another person, their environment, society, and so on? Document it here. Several conflicts make for more complex characters and stories.
Internal (identity, credibility)
Internal (identity vs environment)
Turning Point?: Whether the scene marks a key reversal or decision point in the narrative.
In this case, the first scene has now; the second does.
No
Yes
Turning Point Direction: Indicates the shift’s trajectory (positive, negative, neutral, ambiguous).
If there is a turning point, what’s the direction? A stable or lateral vector is fine.
None
Foreshadows disruption
Direction Commentary: A brief rationale for how and why the narrative tone or direction changes.
If there is a shift in direction, what is it? This might help to orient you when scanning, so you can know in the scene where to edit.
None
Last line (“Until that day”) subtly transitions from ordinary routine into impending change
This next section captures how the scene functions from several perspectives.
Reinforces: Themes, motifs, or ideas the scene strengthens.
Undermines: Themes or ideas the scene weakens, contradicts, or questions.
I like to subvert tropes and expectations as well as make social commentary, so this can be informative for me. In this case, I want to depict these things in a different light.
Traditional heroic framing
Romanticisation of small-town life
Reveals: New information, secrets, or understandings brought to light.
What does this scene reveal?
Setting, tone, perspective
Social fabric of the town, Kenny’s values and limitations
Conceals: Key details or truths the scene deliberately withholds.
In the first scene, I mention matter-of-factly,
Real details of Bruce’s death and who ‘she’ is
The event that disrupted the routine
So the reader knows there’s a “Bruce” and a “she,” but who they are remains to be seen. And Bruce died. How?
Distorts: Misunderstandings, biases, or unreliable elements introduced.
This is getting more nitpicky, but sometimes I like to obscur some things?
Narrator’s reliability and possible biases
Self-perception vs actual social role
Is this a reliable narrator? Even if he wants to be, is his perception accurate?
Inverts: Role, expectation, or thematic reversals subverted in the scene.
I like to subvert tropes and expectations here, too. This can also be used to intentionally have a character act out of character.
Traditional ‘boy meets girl’ trope
The classic “tight-knit community” mythos
Echoes: Recurrent phrases, images, or patterns from earlier scenes or motifs.
Early on, this most captures echoes of the external world, as this does. Later on, a scene might echo (and perhaps amplify) a prior scene.
Small-town fatalism
American nostalgia, masculine banality
Revision Commentary: Notes on potential rewrites, improvements, or cautions.
Here, the AI gods advise me to streamline these scenes, but I answer to no gods. 😉
Could trim repetition or streamline internal monologue for pacing
Minor streamlining of “rural inventory” might improve pacing without losing tone
Punch List: Specific edits or action items needed in revision.
If there are revisions to be made, capture them here, so you’ll remember what you were thinking about when you suggested a revision. In this case, the reminder is the same. Too late, it’s already published.
None
Possibly trim town description repetition
Resolved?: Whether the scene’s tension, question, or arc has been closed.
In both case, the answer here is no. Being an opening scene, hopefully, this open issues and questions – unless you prefer to resolve everything immediately.
Location: Where the scene is physically set—important for continuity, blocking, and worldbuilding.
This is setting information. This will be more helpful in a complex environment. In this case, there’s not a lot to say. He’s on his front porch step, rambling away about his town and his story.
Iowa, unspecified small town
Iowa, narrator’s town and neighbouring town
ChatGPT and Plot Matrices
After completing my manuscript, say a first draft, I feed it into a ChatGPT project. Then I run this prompt.
Let's use this format. I'll provide the value of (X). From where we are, Narrative and Chronological orders have converged and will remain so. They are equal to Row ID - 1. I'll use Row ID (X) as a reference marker.
Row ID (2), Narrative Order (), Chronological Order (), Sentiment, (Integer: Range between -5 and +5), Chapter (Iowa), Plot Points, Time, Primary Characters in Scene, Secondary Characters in Scene, Minor Characters in Scene, Word Count (247), Emotional Beat/Theme, Emotional State, Scene Function, Character Arc, External Stakes, Internal Stakes, Needs Clarification?, Revision Priority, Conflict Type, Turning Point?, Turning Point Direction, Direction Commentary, Reinforces, Undermines, Reveals, Conceals, Distorts, Inverts, Echoes, Revison Commentary, Punch List, Resolved?, Location
I know you’ve heard this before.
Boy meets girl. Different places. Different cultures.
Not quite Romeo and Juliet. Not yet, anyway.
It could’ve been Nebraska. Montana. Oklahoma.
But it wasn’t. We’re in Iowa.
I remember the first time I saw her—or saw them.
But I want to talk about her.
And yes, the misunderstanding.
But I’ll get to that. Don’t rush me.
Everyone wants to hear about how Bruce died.
Another misunderstanding. These things happen.
It wasn’t her fault.
It wasn’t mine.
I wasn’t even there.
But she was. And he was.
Let’s go back to the start.
It was over a year ago.
A bit before that.
But first, let’s set the facts straight. I’m a
regular guy. Graduated high school. Not some conspiracy theorist, if that’s what you’re thinking.
Never left Iowa. Not even for college. The furthest
I’ve been’s Jake’s and the flea market a couple towns West. I know this place the way some folks know scripture—by scent, not verse. The way the soybean dust hits your throat during harvest. The way old barn wood smells after rain.
I believe in Jesus, but I’m not one of those Jesus freaks. Don’t paint me with that broad brush.
And I’m not one of them incels either. I’ve had girls. I’ll tell you about Jake’s. I even had a girlfriend for a few weeks, but it didn’t work out. A guy needs some space. That’s all. I’m sure you know what I mean.
I find that ChatGPT isn’t great tracking within larger documents, so I’ll pass in a section at a time, as shown above. This is the first scene of the first chapter of Substance.
Noticing that this scene sets up a flashback to a year in the past, the narrative and chronological order values should differ. Since this is just an example, I hope you learn from my mistakes. Also, I’d reorder the columns next time, but I created this prompt in steps as I progressed.
You need to be careful about what AI outputs. Don’t take it all at face value. If you incorporate a lot of nuance or subtext, the AI will likely miss the point. AI is a low-context system. Most communication in the West (notably excepting the South in the United States) is high-context.
High-context cultures rely heavily on shared understanding, nonverbal cues, and implied meaning—much is left unsaid because context fills in the gaps. Low-context cultures prioritise explicit, direct communication where meaning is made clear through words, not assumptions.
The AI picks out the plot points from your passage. This is usually uncontroversial.
The way ChatGPT uses Time could be better. This is almost an extension of the setting. What I was initially hoping for in my more complex story is a method to ensure my timeline wasn’t convoluted. I didn’t want to have a pregnancy delivery flashback to a conception two weeks earlier – unless that is an intentional plot point… or we’re talking about flies or something.
I find that some of the scene descriptions are a bit suss, but you can tweak them if they are too far off target. To be fair, you can share your manuscript with a dozen readers and get a dozen renditions – none of them in line with your own. It happens.
I commented on the Revision Commentary earlier. Just like a human editor, you can take or leave the advice. In the end, the writing is that of the author.
In many cases, you can ask the AI to elaborate: What do you mean it’s too long? or some such.
Or you can explain your intent. For example, I wrote another book and intentionally left it open-ended. The AI came back with, What happened?
I explained that the reader could draw their own conclusions, and the AI came into line.
One parting thought: You may pass the same passage through the same AI several times and get several outputs. They aren’t usually diametric, but be aware of this. Also, if you run this on Claude, Perplexity, or another platform, your results might vary there, too.
Anyway, if you got this far, what did you think? Do you use pilot grids? Do you use AI to assist in your editing? I use AI for research. Do you? Some people use AI for writing. I’m not as keen on this, but I’m not judging.
On my Philosophics Blog, I share my experience using Midjourney’s image-to-video feature. In that article, I discuss some benefits and limitations of Midjourney. This is an adjacent discussion.
Image, still from video: Cybermech Warrior Meets Steampunk Girl
The clip above was an image I generated about a year ago – a steampunk girl on the left battling a cybermech whatever. This is ostensibly the prompt I used.
cinematic photograph, a pale young European steampunk woman meets a steampunk ninja villain woman dressed in black with mechanical arms
I forgot about the ninja part, hence the black outfit.
tl;dr: When I prompted Midjourney to animate the two, rather than a vicious fight to the death, I got a tender dance and race to the bed. I made that last part up. Watch for yourself.
Now, I am left wondering if I should pursue a trope of a woman falling in love with another cyber-woman. Has this been done?
It would undoubtedly be genre fiction – whether sci-fi, steampunk, or erotica remains to be seen. Perhaps more of a manga.
This isn’t my space, so I’m being facetious, but I can still imagine the implications.
Ridley Park 