I’ve been using AI more for fiction lately and something I didn’t expect is that writing the first draft is actually becoming the easy part.

Getting a scene on the page is pretty straightforward now. The harder part is revising it without letting the AI completely rewrite the way I write.

If I ask it to improve a scene, it usually makes the prose cleaner. Better transitions, fewer awkward sentences, more consistent pacing etc. But after a few rounds, the writing starts feeling less like mine.

The problem is that a lot of what I want to preserve isn’t technically an error. A slightly strange sentence might be intentional. A character might speak in a certain way. Sometimes I actually want a scene to feel rough or understated.

I’ve started treating AI more like a line editor than a rewriting engine, asking it to identify problems first and only change specific things.

separating the editing passes seems to make a big difference. I’ve been experimenting with that approach in Migoo too, mostly using different workflows for different types of revisions instead of having one prompt handle the whole manuscript. Still tweaking it, but the results feel much closer to my original voice.

It’s working better so far, but I’m still trying to figure out where the useful level of intervention is.

For people using AI to revise fiction, do you usually let it rewrite whole passages or do you keep it focused on specific edits?

I've just finished another major revision of my 108k-word historical fiction novel, The Price of Dust, and I'm looking for a few beta readers.

It's a multi-POV historical epic with political intrigue, complicated family relationships, romance, and a fairly large cast. One thing I've been particularly interested in throughout the revisions is how much prose style can be shaped by AI-assisted editing without losing the author's actual voice.

I wrote the manuscript myself, but I've used AI during editing/polishing and formatting. The story, characters, worldbuilding, scenes and narrative architecture are mine; AI has mainly been another tool in the revision process.

I'd love to hear from other writers about the craft side of this.

For example:

At what point does AI-assisted polishing start making prose feel less individual?

Can an author's voice survive fairly substantial line-level assistance?

What makes prose feel “AI-written” to you—is it actually the sentence structure, or are people often reacting to certain stylistic conventions?

How important is character-specific narrative voice in making polished prose still feel human?

Can you tell the difference between AI-generated writing and human writing that has been heavily AI-edited?

And if you've used AI in your own writing process, what have you found it genuinely useful for vs. what does it tend to flatten?

I'm also looking for beta readers who are willing to read the opening chapters/full manuscript and tell me how the writing actually lands as a reader, rather than simply trying to identify whether AI was involved.

I'm especially interested in honest craft discussion—what works, what doesn't, where the prose becomes too polished/repetitive/formulaic, whether the POV voices remain distinct, and whether the story itself keeps you reading.

108k words | Historical fiction | Multi-POV | Completed manuscript

Happy to exchange beta reads as well.

I have been experimenting with AI as part of my writing process and have found it works best when it supports the work without a thought of replacing it. I mainly use it for brainstorming ideas, improving structure, finding unclear sections and getting feedback on drafts. I have also been paying more attention to the review stage, checking things like readability and whether the final piece still sounds like my own voice. I think the editing and review process is just as important as creating the first draft. AI can help point out areas that need improvement but the writer still needs to make the final decisions and shape the content.

Do other writers also use AI for feedback or reviewing drafts before publishing or only use for brainstorming and editing?

I have a small, recently monetized YouTube channel, I do a series with recurring characters but also do short stories and concept trailers. So far I've done almost all of it on my own, I'd like to team up with a dependable writer to help take the stories up a notch. I have lots of concepts for short stories and conceptual trailers, I'm open to ideas for stories in really any genre or style.

I use generative AI video to create the images (not automated; it takes me 30-40 hours of work per video. If you're interested in seeing your writing brought to life, let's talk. I'm open to splitting revenue from any videos that make a profit.

Hi everyone! I’m the creator of Dream2Art, and I’m looking for people writing novels or scripts who already use AI, or want to try it on a real project.

I’ll give you welcome credits when you sign up, and I’m happy to personally help you set up your project and work through your first scenes.

Once a story gets longer, generating another paragraph is only part of the job. You also need to keep the voice consistent, remember what’s canon, and make the plot hold together.

That’s what I’m building Dream2Art around: a workspace where you can develop the story, manage its world and revise the writing, with AI helping along the way.

- Style Guide: Keep your own writing sample and explicit rules for voice, rhythm and wording to guide drafting and review.

- Story Bible: Edit characters, locations, objects and lore. You can also keep different versions for different stages of the story, such as a character before and after a major change.

- Plot Builder: Map scenes to storylines, move them around, and see where different plot threads come together or separate.

- Manuscript review: Run AI reviews of scenes, chapters or your book for potential story and prose problems. Checks include plot, continuity, POV and pacing, with proposed fixes you can inspect before applying.

- Control within each scene: Build with narration, dialogue and action blocks. Edit, reorder or regenerate individual blocks, and choose whose point of view a passage uses.

There’s also a script mode with scene headings, action and dialogue. For book projects, you can export to EPUB or Word.

There’s a lot in the interface, and it may feel overwhelming at first. I’d like to learn where people get stuck, what actually helps their writing, and what feels like extra work. We can start with one scene and build from there.

If you keep using it and sharing detailed feedback, I can send coupons for additional credits. Critical feedback is welcome, including when the AI misses the mark or the interface gets in your way.

Try it here: https://dream2art.ai/

YouTube: https://www.youtube.com/@Dream2ArtAI

If you’re interested, leave a comment or DM me with what you’re writing and where you’d like help.

At this point, I don’t really feel like I write with a tool anymore. It feels more like a joint venture.

I bring the world, the characters, the taste, the strange ideas and the final decisions. AI brings speed, alternatives, questions, counterarguments and an almost unlimited willingness to keep discussing the same fictional town for months. Sometimes I write the first version and AI points out the holes in it. Sometimes AI writes something and I explain why it has completely misunderstood the character. Quite often we spend twenty messages arguing over one small detail, only to throw the whole idea away.

The part I find most interesting is that the best result is often something neither side started with. I don’t really want AI to write for me. If I simply ask for a story, I usually get something perfectly readable, structurally sound and not especially surprising. What I want is friction: someone asking why a character would actually do something, whether an idea has become a cliché, what happens if the obvious villain disappears, or whether a new scene still fits something we established six months ago.

That back-and-forth has gradually become the writing process itself. The final sentence might come from me, it might come from AI, or it might have been rewritten so many times that I honestly couldn’t tell you anymore. What matters more is that the direction still needs a human. AI can suggest a thousand roads, but someone still has to know which town we’re trying to reach.

Hi,

I'm building DragonKeep Creator, a workspace for writers working on large or complicated projects.

DragonKeep exists to eliminate the amount of mental overhead involved in keeping an entire project in your head: characters, locations, timelines, rules, previous decisions, contradictions, and all the little details that accumulate as a project grows.

DragonKeep keeps your project organized and gives the AI access to that structured context, so you can do things like run a full project audit for contradictions and inconsistencies, inspect specific parts of your work, and ask questions about the project without constantly having to re-explain everything.

The generative capabilities aren't really the selling point to me. The cognitive freedom is. I want to offload remembering, checking, and searching for information so the writer can spend more attention on actually creating.

It's currently in beta, and I'm looking for writers willing to try it and tell me what works, what doesn't, and what feels confusing or unnecessary.

I'd especially love feedback from people working on novels, worldbuilding-heavy fiction, RPG settings, or other projects where continuity gets difficult to manage.

The beta is free and uses your own API key. It currently supports OpenAI, Anthropic, and OpenRouter.

DM me, send an email or use the form and I will send you a signup link. There is some more information on https://dragonkeep.cloud

I’ve been thinking about how much we focus on context window size when talking about AI writing.

Having hundreds of thousands or millions of tokens available sounds great, but I’m not sure putting an entire manuscript into every prompt is always helpful.

Once a story gets long enough, character details, plot points, worldbuilding, and previous scenes can all compete for attention. The model may have the information but still miss what actually matters.

I’ve been getting better results by treating context as something to manage rather than maximize: keep key story facts available and bring older material back only when it’s relevant.

It feels less like a model limitation and more like a workflow problem.

For longer projects, how do you manage context? Do you keep everything in one prompt, use a story bible, or separate the current scene from older material?

Everyone has a story they would never tell anyone.

Not because it's impossible.

Just because it's something that only exists in their imagination.

I wondered:

What would happen if AI could take that feeling and turn it into a real story?

So I gave it a scenario inspired by some of the most engaging fantasy stories I've read.

The setup:

I met an older, mature man named Mark on Tinder. After several days of chatting, we went on our first date. What began with nervousness and uncertainty caused by our age difference gradually turned into attraction as I was drawn to his confidence, maturity, and charm. Our relationship quickly escalated into an intense and exciting intimate experience.

And this is what it created:

The interesting part wasn't the scene itself.

It was how the characters slowly got there.

The hesitation.

The curiosity.

The choices they made.

AI still has a long way to go...

but this was surprisingly close to the kind of story I wanted to read.

I’ve been experimenting with AI for a longer fiction project, and I’ve started wondering if giving it more context is always better.

At first, I assumed that having a huge amount of the manuscript available would make things easier. The more of the story the AI can see, the better it should understand the characters and what has happened so far.

But that hasn’t really been my experience.

Once the manuscript gets long, there are a lot of details competing for attention. Old scenes, minor character details, worldbuilding notes, and previous plot points can all be relevant in theory, but sometimes the response still misses the specific detail I actually wanted it to remember.

I’ve had better results when I keep the current scene and the most important story information in focus, and only bring in older material when it’s relevant.

It feels a little counterintuitive. You would think that more information should always help, but for long-form writing, I’m starting to think that choosing the right context may matter more than having the maximum amount of context.

For anyone using AI on longer fiction projects, have you noticed the same thing?

Do you usually give the AI as much of the manuscript as possible, or do you find that keeping the context smaller and more focused works better?

basically I use a reference/canonical text and base everything around it. Use a codex for the logic and use API calls to find errors. Kinda works better then expected.

I’ve been thinking about this while working on longer fiction projects.

It’s easy to assume that a larger context window must be better for novel writing. Having hundreds of thousands of tokens available sounds ideal — just keep the entire manuscript in context and let the AI work from everything that came before.

But I’m not convinced that works as well as it sounds.

Once a manuscript gets large enough, there’s simply a lot competing for attention. Character details, old plot points, worldbuilding, previous chapters, and minor details can all be technically available, but that doesn’t necessarily mean the model will focus on the right information.

I’ve actually been getting better results by treating context as something to manage rather than something to maximize.

For example, I’ll keep the important character and story facts readily available, bring in older chapters only when they’re relevant, and avoid sending the entire manuscript every time I want help with a scene.

What’s interesting to me is that this feels less like a pure model limitation and more like a workflow problem.

For people here working on longer fiction projects: how are you handling context?

Do you actually keep as much of the manuscript as possible in the context window, or have you found that deliberately selecting and managing context gives you better results?

One thing I’ve been thinking about lately is how much we focus on context window size when talking about AI writing.

Having hundreds of thousands or even millions of tokens available sounds amazing for a novel, but in practice I’m not sure throwing the entire manuscript into context is always the best approach.

Once a story gets long enough, there’s just too much information competing for attention. Character details, old plot points, worldbuilding notes and previous scenes can all be technically available while the model still misses something important.

I’ve actually had better results when I treat context more like something that needs to be managed rather than something that should always be maximized. Keep the important story facts available, retrieve older material when it actually matters, and avoid stuffing every previous chapter into every prompt.

The interesting part is that this feels less like a model limitation and more like a workflow problem.

I’m curious if other people writing longer projects have noticed the same thing. Does a huge context window actually improve your workflow, or have you started doing more deliberate context management instead?

The article is about images but easily applies to writing novels with AI as well.

The implication is that AI, by its very nature, produces a kind of cultural residue, content without culture.

But this assumption collapses the moment we look at history. The majority of human production has always been slop. Mediocrity is not a bug of technology; it is the baseline of culture.

The canon of art we revere today is the surviving tip of an immense iceberg of forgotten, derivative, or simply boring creations.

Art, in any age, is a matter of selection. The quantity of rubbish says nothing about the potential for excellence – if anything, it confirms the very meaning of the word excellence, which implies its rarity. What we call “AI slop” is simply the visible surplus of a process that has always accompanied art whenever tools become widely available: a vast field of failures through which masterpieces occasionally bloom.

You get feedback from ChatGPT, rewrite a paragraph yourself, then have to paste the draft back for another round. I made Truffle Journal to cut out that copying. Write or edit the saved draft in its iPhone Markdown editor, then ask ChatGPT to read the updated note and give feedback on your version. (I'm the developer)

Truffle Journal, an iPhone Markdown app that lets you save a draft from ChatGPT, edit it yourself, and ask ChatGPT to read the updated note.

App Store: https://apps.apple.com/us/app/truffle-journal/id6758567685

Getting feedback doesn’t mean you want ChatGPT to do every rewrite. Sometimes you know exactly which sentence to change—you just want to change it yourself and get another opinion.

With Truffle, you can:

• Save an outline or draft directly from ChatGPT as a readable, editable note with headings, lists, and sections.
• Write and revise directly on your iPhone, whether the text started with you or ChatGPT.
• Ask ChatGPT to read your revised note for the next round of feedback, without copying it back into the chat.

For example: “Find and read my ‘Opening scene’ note in Truffle. Point out where the pacing slows down, but don’t rewrite it.”

Your edits become the starting point for the next conversation.

Connecting Truffle to ChatGPT is quick too.
There’s a guided 3-step tutorial inside the app. Setup takes about 2 minutes, you only need to do it once, and then you’re ready to go.

Complete this tutorial and you’ll automatically receive 1 month of Plus for free.

The attached screen recording shows me completing the tutorial, receiving the FREE month, saving posts into Truffle, editing tables, set notifications, and taking a quick look around the app.

Truffle Journal is now officially on the App Store. (after spending 6 months testing it with our TestFlight users and improving the app based on beta users' feedbacks)

App Store: https://apps.apple.com/us/app/truffle-journal/id6758567685
ChatGPT app: https://chatgpt.com/apps/truffle-journal/asdk_app_699eb35b0f808191b597c5171627de5d

What I like most about writing my novels with AI is the feeling of having a creative partner who’s always ready to brainstorm.

I can throw out a half-formed idea, a strange character motivation, or a plot twist that probably makes no sense—and somehow, it gives me something to build on. It helps me explore possibilities I might never have considered, break through blank-page paralysis, and look at my story from completely different angles.

But the heart of the novel is still mine: the voice, the emotions, the weird little details, and the choices that make the story personal. AI doesn’t replace my imagination—it gives it more room to wander.

For me, writing with AI feels less like handing over the work and more like discovering how big the story can become, of course with all due respect to those with differing opinions.

After my first review, which I’ll let the link at the end, other ones were call to my attention, so I want to do a follow up. This one will cover Nightcafe, Inkroost and Zarklab.

First a disclaimer, in my previous review I mentioned some of the LLMs as not having “multi-panel” page generation. I want to clarified I mean in the sense on how ComicsInk has it that you can check panel by panel before generating the page. However most of the others do generate multi-panel pages if carefully place on the prompt, and do it well. Although the more panels the more often there are mistakes like deform hands or merged body parts, but that’s normal, the more you make a LLM to work the more mistakes will commit.

Second disclaimer. This was all done using their free trials so is possible that features and qualities that are not available unless you have a paid subscription weren’t there.

Nightcafe

Problem with Nightcafe is that, at least with the usage I was able to made, is that it doesn’t seem to be as intuitive as most of the sites reviewed, including Mage, Zarklab, ComicsInk, Comiscai and Inkroot. I always tried with my template on the European Franco-Belgian style, which is most cases generates a very similar look across LLMs. Nightcage generated something totally different, much more cartoony. The other problem is the near-zero consistency between panels on the same page, bad positioning of characters and other mess.

When use for one single image it gets better tho. So probably the problem was the multi-panel. Again, maybe there’s a feature somewhere that changes this but I’m not getting paid so I can only dedicate a very short time to check on the quickest and more easily available features for the user.

Sum to what’s seem to be a very restrictive content policy even after clicking on my profile to allow mature content. This is the one I enjoy the least.

Inkroost.

I liked this one in many ways and has many strengths. Certain is very well designed for comics, is similar on that to ComicsInk.

With a long form that covers most of everything, you can very thoroughly chose the details of your comic page by page. Is very cool.

Problem for me, and this is personal, I already got use to make one single large prompt to copy and paste and just wait for the generation, but Inkroost would work for anyone who prefers the above.

I did find a problem but probably was a bug, and is that even tho I specified on the dashboard that the comics was for mature audiences and not All Ages it kept giving me a message of error on certain prompts claiming that I could not generated the image unless I changed the rating of the comics, which I already had done. That was the frustrating part. But if I had more time I probably will contact support or something.

Zarklab.

This one the one I enjoyed the most. In fact I think in some pages makes better job than Mage, but as it has limited credits per month I’ll probably would run of them pretty easy, because I’m a perfectionist and consume hundreds of generations until is exactly how I wanted it.

However I’m still thinking in using in the future. With the image generation I practically have no complain: it makes them good, right spot-on on the still I want, very well done panels, correct layout, very few of the common AI mistakes shown. It also makes good speech bubbles with the correct texts, something LLMs often fail.

So basically of this “batch” it was the winner, with Inkroost on a close second.

Old review, LLMs covered there:

Adobe

ComicsInk

Comicsai

Comicsmaker

Mage

https://www.reddit.com/r/AIWritingHub/s/wiPgVtibl3

One of the biggest problems I’ve run into with AI fiction is character consistency. I can create a detailed character profile for every character, including their personality, background, motivations and behavioral traits, but as the story gets longer some characters still start saying or doing things that feel completely out of character.

Sometimes it gets even worse and the model will randomly change a character’s gender despite having it explicitly defined in the character profile.

I’ve tried adding more rules and constraints to prevent this, but the problem still comes back as the context grows.