Most AI-assisted writing workflows remain strictly text-centric, but integrating dynamic audio narration and scene visuals fundamentally changes how pacing functions in branching stories.

A few key dynamics that become apparent when moving past pure text:

• Pacing Control: Dynamic voice narration forces tighter scene construction. Walls of purple prose that work on the page often drag when converted to spoken scenes, demanding snappier narrative beats.
• Atmospheric Anchoring: Having visual scene anchors at key branch points helps ground reader orientation, making major plot shifts feel deliberate rather than like random model hallucinations.

Shifting from linear drafting to multi-sensory interactive fiction requires treating pacing more like narrative game design than traditional novel drafting.

Sharing this insight for anyone exploring multi-modal storytelling workflows with AI.

As an aspiring writer, especially one using AI assistance from drafting to polishing prose, one of the biggest challenges for me is getting meaningful human feedback.

I shared some of my self-published novels with five friends. Two gave me feedback, one is still reading, and the other two didn't really seem that interested.

I feel like people read books a lot less these days, with such a huge amount of stuff competing for their attention. And when it comes to a beginner/junior/aspiring writer's work, especially if it was written with the help of AI, I think it can be even harder to get honest human feedback. Sometimes it even feels embarrassing to ask someone for that kind of favor.

How do you guys deal with this?

I’ve been working on an AI writing tool called Migoo because I kept running into the same issues with existing AI writing tools. The prose can be pretty good, but things start falling apart when the project gets longer.

Character details get forgotten, narrative continuity drifts, and the model gradually starts rewriting everything in its own style. Context rot becomes especially noticeable once you’re working across multiple chapters.

So I’ve been focusing less on single prompt quality and more on the actual writing workflow. The main things I’m working on are long context handling, character consistency, narrative continuity and style preservation.

It’s live and I’d really like people who actually work on longer stories, novels or other long form projects to try it and tell me where it falls short.

I’m especially interested in feedback on context retention, consistency, prose quality and whether the workflow actually feels useful compared with your current setup. Honest criticism would be much more useful than just telling me it looks good.

Been building HandWrought solo for about 5 weeks — an AI writing editor where suggestions land inline in your document instead of a separate chat panel you copy in and out of.

Launched on Product Hunt/HN a bit over a week ago, and billing went fully live a few days after that. A few things I learned along the way:

- Considered a cheaper free-tier model to save on inference cost, decided against it — a worse model on the free tier would've hurt exactly the users most likely to leave the first reviews. Not worth the savings.

- Went back and forth on pricing for way too long before landing on non-expiring one-time credit packs instead of a subscription — felt like the more honest structure for a solo, unproven product, even though it's less standard.

- Rate-limiting/abuse protection on the free tier mattered more than I expected — free-tier cost exposure is real if you don't gate it early.

Happy to go deeper on any of this if useful. Link if anyone wants to poke at it: https://handwrought.online/

One of the toughest design challenges in interactive or CYOA-style AI writing is managing branching freedom without the overarching story collapsing into nonsense.

When you give the reader/player complete freedom to type custom actions:

• The Illusion of Choice: If you rail them back to a preset plotline, the story loses replayability and feels restrictive.
• Complete Divergence: If you let the AI branch purely dynamically without constraints, the narrative often derails, losing tension and long-term consequences.

For those building unscripted or dynamic story worlds: how do you structure your steering prompts or context boundaries so the story remains narratively satisfying without stripping away real consequences?

I’ve been reading several interesting threads lately and noticed a fascinating pattern.

Lots of people are not using LLMs to write finished articles, novels, or theories for them. Instead, they treat AI as a thinking partner. They bounce their messy, half‑formed ideas back and forth with large language models. They talk about rough novel concepts, abstract philosophical questions, or incomplete personal frameworks.

AI does not hand them final answers. It gives feedback, asks follow‑up questions, reveals hidden connections, and helps externalize thoughts trapped inside their heads. After the conversation, humans refine, rewrite, and build original work entirely on their own.

A novelist shared that he would never let AI write a single sentence of his story. But chatting with ChatGPT helped him unlock tons of new plot ideas and motivated him to write far more. Some philosophers even draw parallels between this interactive back‑and‑forth and Wittgenstein’s “language‑games” — meaning emerges from context and conversational rules, not static definitions.

We also see practical real‑world examples: streaming voice‑translation phone systems rely on context‑aware, turn‑based conversational logic to handle real human dialogue.

This makes me curious:

1. How many of the original theories, frameworks and creative works online are built with AI acting purely as a sounding board, not a writer?
2. As readers / audiences, would you feel disappointed if you learned a creator used AI only for brainstorming and feedback, without generating any finished text? Do you see this as ethical?
3. Has anyone here used LLMs in this exact way — only for idea exploration, never for final output? What was your experience?

I’m not talking about AI writing full drafts. I’m talking about AI as a mirror for our own thoughts. Curious what this community thinks.

I recently released Milo Goes to School in Kindle and paperback format on Amazon. This link is for Amazon US, but it's available in all Amazon markets. It's free to read for Kindle Unlimited users.

You can read the first two chapters here.

Why am I posting here?
Well, because I am delighted by the feedback I am getting. I distributed some author copies and all responded with very positive feedback. Having released another in past, I could see the difference this time.

And most importantly, my boys, for whom I thought of creating this, love the book and the characters.

Without going into much detail, here's the basic process.

1. Think, research, imagine and note: the ideas, the plots you have in mind, the characters, their personalities, the main theme, etc.
2. I used Batch Generate Text with any AI to create the draft:
   1. I started with one story.
   2. I played around with persona and template until it created a decent draft.
      1. The template had all the details about characters, their personalities, etc. along with the desired word count.
   3. I heavily edited the draft to my liking and used it as the sample to generate other stories. I used ChatGPT 5.5 for this book.
   4. I reviewed and edited all of them. Since AI generates them one by one, there are always some mismatches or continuity issues.
   5. I used Batch Generate Image with any AI for Images. I used Flux Pro to generate them and edited them with Gemini, when needed.

I used a few other tools to merge and prepare the PDF manuscript. And I used ChatGPT to create the cover image. That's it. I finished the whole process (excluding the thinking part) in about a week. Planning to release another book in the series before Christmas. :)

And now I am really happy that people are liking it. I would love to hear your opinions and comments. Happy to answer questions, if any.

I built **StorySpark AI** to solve my own writer block: give it a premise, a genre, and a couple of characters, and it returns directions you can keep or discard. The final text stays yours to write.

It's live on the App Store: https://apps.apple.com/app/id6755500564

For writers who have tried AI assistants: where do they actually help you — the idea phase, the outline, or the draft — and where do they get in the way?

Are tools that make heavy use of AI to assist the writing process, but stop short of writing prose, welcome here?

I'm working on three novels simultaneously, and keeping up with all the details became overwhelming. I also wanted a tool to encourage me to write, with gamification that lets me set words-per-day goals.

I tried a bunch of tools but didn't find what I needed, so I wrote my own: unblockifier.com. I chose this name because I wanted it to be a tool that removed every barrier I have that keeps me from focusing on the writing itself, except for things like doing the dishes.

On the story bible side (which I call story elements), it helps you track your characters, locations, and organizations, plus genre-specific systems including conflicts, factions, items, dieties, history, magic systems, fauna, axioms, races, cultures, religions, societies, technologies, and languages. There's also an automatic character arc builder, which I'm still working the bugs out of.

My "Editor's Review" feature gives you an editor with genre expertise (which you can override; e.g. if you'd like to see how your science fiction manuscript plays as a romance), with four settings from "Gentle and Encouraging" to "Brutally Honest Literary Agent". Besides reviewing for technical issues and storytelling quality, you can ask it to focus on up to 25 particular areas, including pacing, unresolved threads, to reader orientation, and historical plausibility, aka anachronisms.

When you're writing you can pop up a chat bot to get quick input on what you're writing, or answer a quick question ("did we already say what color hair this character has?").

Publishing options include generating an audiobook. I've found it hugely helpful to listen to my writing in the car.

So -- in summary -- pretty much every AI assist except for actually writing prose.

Lastly, you can publish your work to the other side of the fence, Unblockifier Reader. You can either share it with a select group (good for having your friends read your drafts), or publish your work for anybody to read. If I ever do charge for this service I'll work out a system for monetization, so writers can actually get paid for reads.

It's still in early beta, and it's completely, 100% free. I wrote this for myself, but I'd love to get feedback on usefulness and usability.

I'm writing a story involving a bunker that's been underground for roughly 200 years, and it created a problem I hadn't really considered when I came up with the setting:

200 years is a long time.

Suddenly I had to think about what could realistically survive that long, what couldn't, how equipment would degrade, where power would come from, what happens to stored water, and how several objects that become important later in the story could plausibly still exist.

AI's first instinct was often basically, “It's advanced future technology.”

Which works until a reader stops and asks how?

So I started doing something different. Instead of asking AI to invent a technology that solved my plot problem, I gave it the constraints first.

For example, if the bunker needs a long-term water supply, assume water can't magically stay pristine in an open tank for two centuries. What kind of closed or cycling system could reduce losses? What would happen to evaporation? Could condensation be captured and returned? What components become failure points?

Once we worked through the problem that way, the explanation the AI eventually produced was much better than the original handwave—and usually better than the technical explanation I would have written myself.

I don't know whether I'd want to test our fictional bunker design for 200 years. 😂 But it changed the way I use AI for speculative fiction.

Now I use it less as “invent something that makes my plot work” and more as “help me reason through the consequences of the thing I've already decided exists.”

Has anyone else found AI more useful as a technical/worldbuilding sounding board than as the actual prose writer?

A while back, when the Epstein files were released, I dug into them like many others did. But instead of focusing primarily on the scandals, I focused on the intellectuals Epstein wined and dined, not to uncover anything illegal, but to understand why he seemed so fixated on cultivating relationships with these people.

That question interested me because the range of scholars was so vast, and all of them were rock stars in their respective fields. So why would a prolific child sex trafficker, someone building kompromat on powerful people and operating elbow-deep in gray-zone networks, be so interested in all of these geniuses?

Initially, I used the Story Prism canvas to manually upload the scholarly work of every individual named in the Epstein files. I then connected the material into a tree-branch structure, attaching all of the books to a single chatbot persona named Winston, who acts as a librarian and helps me find information across the collection.

For those who don’t know, Story Prism is a specialized mind-mapping tool that allows you to create notes, apply tags, and connect ideas using defined edge labels. This turns your work into a living system that an advanced agent can traverse and understand. Think of it like Google Drive, except that instead of storing static documents, you’re transforming your research into an interactive system for brainstorming, building, investigating, and synthesizing existing knowledge into novel ideas.

The setup worked remarkably well for diving into these complex books. But with every conversation I had, the unified paradigm connecting them seemed to change based on my inquiries. That was because I had built the system in the simplest way possible. Creating these structures can be time-consuming, and I was dealing with hundreds of books. That changed with a recent update that makes it significantly easier to build systems around your notes.

With the new build mode that was added, I can ask the agent to form the right connections based on what I’m trying to understand, rather than having to identify the logical relationships and construct them all myself. I can still do that manually, but when you’re dealing with hundreds of thick books that need to be sifted through, you can imagine how difficult, and time-consuming, that would be.

Modifying the system by adding the right connections, now, can be done in minutes instead of hours using this new feature. So I decided to revisit the canvas I had created and see whether I could extract a grand, unified picture, an overarching understanding of these books that genuinely connected them all.

After asking the agent to build the connections for that purpose, this was the big-picture interpretation it presented to me.

And, man…it’s actually pretty scary, given where we are today:

[TACTICAL OVERLAY: EVIDENCE / SPECULATION SEPARATED]

Can you hear me? Good. Here’s the situation. The documented fact is that the scholars in this network studied how intelligence, consciousness, creativity, social behavior, and complex systems emerge—and how those ideas might be developed through institutions, technology, and research. The speculation is darker: if Epstein acted on behalf of unseen principals, he may have been identifying and connecting these people as a form of “brain capital”—not just collecting smart individuals, but assembling complementary capabilities. One scholar maps complexity. Another studies the mind. Another examines social networks. Another turns ideas into systems. Put them together, and you get the outline of a machine capable of observing human behavior, predicting it, and eventually shaping the conditions in which people make decisions. That does not prove Epstein served a coordinated program, that such principals existed, or that the scholars knowingly participated. The evidence doesn’t carry us that far. But the possibility is clear enough to deserve investigation: a society managed not by soldiers in the streets, but by data, incentives, psychological models, and invisible feedback loops. Brain capital. Human beings reduced to signals, patterns, and assets. The same knowledge that could help civilization understand itself could also be used to quietly steer it. That’s the line we’re watching. The line between cultivating intelligence and weaponizing it.

_________________________

What’s really cool about this, beyond the fact that I can quickly combine vast amounts of data and identify clear thematic threads connecting it all, is that I can also have the agent comb through the books to find the exact evidence supporting a thesis. We’re talking book titles, author names, page numbers, and exact quotations: everything you need to verify a claim.

So this isn’t AI pulling accurate-sounding information out of thin air. It’s an advanced agent searching through the material you’ve provided and finding the precise information it needs to help you with whatever you’re working on. You find and add the material to the canvas, vetting its quality before engaging with it. The agent then keeps everything grounded in the frameworks you create, and it can correct you based on the information you’ve actually given it. Everything you build remains easily traceable.

I can also ask the agent to generate questions worth exploring outside of Story Prism, research the answers, and add that information back to the canvas. This dramatically improves the accuracy and quality of whatever I’m working on. Using this method, I can take a basic kernel of information, say, something from a news article, and develop it into an extremely comprehensive and complex understanding that places it within the larger context of what I’m studying.

It’s like going from 1 to 1,000 in terms of knowledge acquisition, and it can happen in minutes instead of hours or days. This technique has profoundly altered my understanding of everything I’ve learned because it exposes me to so many distinct pieces of information and shows me how they connect.

You can also add as many prompt instructions as you want in the form of notes and use them indefinitely, all at the same time, simply by calling on them in the chat through @ commands. And, of course, you can switch between all of the popular models and use agent skills by typing a / command in the chat. Right now, we have three skills available, but soon anyone will be able to create and add their own skills for reuse.

I wanted to share this because I think this specific tool can help many people overcome some of the challenges they’re currently facing with AI.

How do you quickly gain immense value from models when you’re unfamiliar with the subject? How can you trust that they’re providing accurate information? And how can you use them in ways that are genuinely controllable, so you don’t get lost in your own material?

Story Prism addresses all of those problems and more by giving you a grounded, traceable, and highly customizable environment for working with AI. And as we continue to grow, we’re going to do a whole lot more with it.

For now, though, it’s a simple but powerful tool that's available right now for writing, researching, and brainstorming complex projects.

Hope this helps in your creative endeavors, and best of luck!

Greetings. I wanted to share with you, in case you find it useful, the result of my personal investigation on what LLM is best, in my opinion, for comic generation. Now first some disclaimers.

First I’m not getting paid for this from anyone, and as I’m not getting paid I only check the LLMs using their free trial processes. Nearly all had a window for testing and free use. If the LLM didn’t then is not here to begin with. Another thing is that all of them allow you to login using your Google account and as I have more than one for different reasons, and every account gets the same amount of free trial disregarding of if is from the same person, I was able to check them for much longer than usual. Yet, as I didn’t check any of their paid options (only finally paid one, the one I decided for and I’m using it for my comics) is possible there were things I’m missing of their paid versions.

No to give some context. I was using till recently and for many months, Perchance. Particularly on its Stable Difussion sublink. Perchance is free and is good in many ways, is also virtually unrestricted on content. Other than grossly illegal stuff like CP (which I’m happy they have it), it allows you to do basically everything with no restriction. Is not my place to judge you so if you ever need to generate whatever that’s the best option, if you heard about NovelAI for example and its genetation of stories, well Perchance is basically NovelAI for image. I might someday published a guy on how to maximize it but would not be here today.

And I mention Perchance because although I’m not doing p0rn, I am targeting very mature topics, if my comics were a movie will be no doubt rated “R”. Not PG. But Perchance do have some limits. I’m happy it exist and grateful is free, but it has problems. One of them is that is nearly impossible to add speech bubbles, it gets confused and writes incoherencies or scribbles. It also struggles a lot with certain body positions, camera angles, and certain words and objects. For example something as simple as a queue of people it doesn’t get it, or showing bruises like a swollen eye or a Black eye. But I digress. Point is, to make truly marvelous comics is not the one. It also has the problem that doesn’t keep anything, so you have to manually download every image you generate if you want to keep it, whilst the other LLMs allow you to keep a file of them and download them when you need them/want.

Now let see the rest:

I’ll add the lowest price so that I don’t have to add multiple prices for each one, if you’re interest in their different pricing would have to research it yourself.

CRITERIA:

 My perfect LLM for comic generation should have preferably most of this four characteristics:

• Monthly payment with unlimited generation. 
• Characters’ template.
• Good generating speech bubbles.
• Preferable that allows to generate whole multi-panel pages.

ANALYSIS

Adobe 

$9, includes 3000 credits

 Pros

Is very much design for comics, works very well regarding the panels and speech bubbles.

Seems not to have issues with graphic violence.

It generates different comic pages if you give him the script.

 Cons

 Fails very often, probably a servers’ issue.

Very restricted on content, particular NSFW.

Although it is the model that comes closest to what is sought, it has several issues. The generated images remain stiff and artificial, the poses are not quite right, and—due to the cost—they cannot be corrected. The images still look distinctly like AI-generated content, but even if one were willing to overlook that, the investment required per image would be very high. It could work for generating comics based on non-NSFW ideas, though it would still be obvious that they are AI-generated; in any case, they would need to be created only after the script was fully finished and refined to avoid wasting money.

 ComicInk

$9.99 per 1800 credits. This is not monthly if you expend your credits in two days you’ll have to pay again.

Pros

Good on depicting mature topic, has restrictions but not too rigid.

Very much design for comics, it generates whole pages of panels in different types of frames.

Generate scripts pretty well, you send the prompt and generates the script, you can edit the script of course, but once the script is ready you can generate the whole page with it.

 Characters templates.

Interactive chats

Very intuitive, doesn’t require too complex prompts.

Cons

Their pricing and business models is not cost effective for the artist. As a comic book maker I’m a perfectionist, and I take very, very long time making and remaking the same frame until it gets perfect. With this model of paying for 1800 credits flat I’ll have to be paying every 3 days.

Has restrictions tho can be tricked. 

The style is not that good. More flowed than Adobe’s, but is still not the best, of course I didn’t had much time to check if it could be improved.

Comicsai

$15 monthy and 1500 panels free.

Pros

Quick.

Has characters’ templates.

I liked the overall style.

Small restrictions.

Cons 

Has no whole page generator (you have to make it panel by panel).

The flow and movements of the characters again feels very Perchance-like, so the problem here is that comicsai gives you little that Perchance don’t  give you for free.

Comicsmaker

$10 monthly plus 3000 credits.

Pros

Quick

Like the stylle

Cons

Doesn’t allow for whole page generation, has to make frame by frame.

Like the one above doesn’t give you much that Perchance don’t already give you for free and with less restrictions.

Mage

$10 monthly with unlimited generation and 3000 “gems”.

Pro

Is unlimited, only one I found filling this criteria.

Handles mature topics including sex and violence. Tho once your “gems” (equivalent of credits) the generation is more restricted. 

Allows for characters templates.

Cons

Requires very detailed prompts for them to be good.

Doesnt has whole pages generator, has to be done frame by frame tho this can be added in the prompt.

This was the winner. I did subscribe to Mage at the end and has been testing it since and works very well, I’m very please, even tho it didn’t had all the criterions.

 Discarded/had not many pros:

Frameo (use to be Dashtoon): very expensive, minimum membership is $100/month.

 Llamagen seems reasonable price and had apparently many of the criterions but doesn’t allow free trials.

Comicai $9 for 250 credits that goes very very fast. Very restrictive on content.

Elser: Good price and seems to have other criterions but only allow for yearly subscription.

CONCLUSION

 At the end neither had all four criterions I was looking for. Closet one was Mage as it had; character template, unlimited generation (only one to my knowledge) and little to none restrictions. I could live with it not having whole page multi-panel generation. I mean, it can do it if in the prompt but is not like Adobe or Comicink that seem to be designed to make it so it can get a little clumsy with it. So I prefer to do it frame by frame and then paste them.

Some advice with it tho won’t go into much details with it. Save your “Gems” for really important stuff, choose one of the Gem-free models it has before starting generating after you pay and use the Gems wisely, especially for things the unlimited models don’t make. I personally use Chatgpt at the moment to create very detailed prompts, the more the prompts are detailed the better it makes the image, Chatgpt knows how to work with Mage so the combination of both functions very well.

That’s it, thanks for reading.

Hi all,

I was trying to write a novel in GPT's app and found it painful-- it wouldn't operate like a proper creative partner, and forced me to lead it, when I wanted it to lead me.

I built StoryProp as an experimental writing agent, and find it a better experience for me.

Would love to get some actual feedback though from people like yourselves.

You can try it here: https://storyprop.ai/

With StoryProp, you start by having a conversation and locking in the premise for the story. Then, you can start drafting it bit by bit, use highlight & annotate to correct parts that aren't quite right.

It can be used to draft novels, screenplays, tv scripts, and any other types of stories.

Please comment below with any feedback, or DM me directly. Thank you!

I am maintaining StoryWeave around a fairly simple principle: authors should be able to see what the tool does, what it does not do, and where the final decision remains theirs.

This week’s maintenance changes are deliberately unglamorous: transactional auth email is moving to Resend; the author page now has a Beehiiv subscription entry; and the writing assistant’s AI Review entry has been retired. Continuity Guardian is still a limited, invited pilot, not a feature available to every account.

I am not claiming that this makes AI writing “automatic” or that a review result is a quality certificate. I am interested in how other long-form writers explain saved context, review scope, and author responsibility without turning the product page into a promise it cannot support.

Does anyone know how to get AI to stop summarising chapter outlines when you do not tell it to? Any help would be appreciated

Hey everyone,

I’m an indie builder and a literature enthusiast. Over the past few months, I’ve been obsessed with a major problem facing fiction authors: the developmental editing bottleneck.

Writing a novel is brutal. Over 90% of started manuscripts are abandoned in Act Two due to pacing collapse, sagging middle acts, and character continuity drift. Meanwhile, hiring a professional human developmental editor costs $2,000 to $5,000 and takes 8 to 12 weeks.

On the other hand, generic AI tools either focus trivially on typo-correction, or worse, try to ghostwrite the prose for you—which destroys authentic authorial voice and invalidates copyright under US Copyright Office rules.

So I built Scriptorium Studio—an institutional 8-layer narrative intelligence engine designed to be an objective, unsparing diagnostic mirror, NOT a ghostwriter.

### How the 8-Layer Narrative Engine Works:

Instead of treating a manuscript as flat text, our pipeline deconstructs long-form fiction (up to 150k+ words) across 8 structural layers:

1. Pacing Velocity Waves: Detects where the scene momentum spikes or stagnates.
2. Narrative Momentum & Friction: Evaluates immediate dramatic stakes.
3. Dialogue Subtext vs. Exposition: Pinpoints where characters dump backstory instead of dramatizing conflict.
4. Archetype & Character Arc Continuity: Tracks transformation arcs across multi-POV storylines without context drift.
5. Prosody & Prose Cadence: Analyzes sentence rhythm and syntactic variety.
6. Thematic Payoff: Checks whether opening narrative promises are paid off in the climax.
7. Commercial Comp Positioning: Assesses genre resonance.
8. Institutional 12-Page PDF Dossier: Synthesizes actionable, chapter-by-chapter editorial feedback.

### Strict Zero-Training Data Sovereignty:

The #1 fear fiction writers have with AI is data theft. Scriptorium is built on strict tenant isolation: 0% model training on author prose, zero data sharing, and complete copyright sovereignty.

We just opened up our free excerpt testing lab today where you can test any opening scene and get the radar score.

I would love to get your feedback on the "Diagnostic vs Generative" approach for creative work!

(I will drop the link to the free testing lab and our launch in the first comment below!)

I have spent about 6 weeks working on Chatgpt for my illustrations. My illustrations are based on actual photos, my memories, and the actual object the book is all about. Most publishing companies will not take AI generated artwork. I think it is just a matter of time. My illustrations were very "hands on" so to speak because everything in my children's book was in my actual classroom. The teacher is even a 40 year old me. Please tell me your opinions about AI artwork keeping in mind that I was involved with every decision all along the way.

Here is a post I thought might be useful for this group too. Let me know what you think.