Why I Feed My Novels to AI (and Why You Should Too)
The debate surrounding AI in the creative writing community is loud, fierce, and fiercely binary. On one side, traditional purists argue that typing even a single prompt into a chatbot dilutes the sanctity of the human soul. On the other side sits a quiet, growing revolution of authors who know the truth: AI isn’t killing creativity; it is amplifying it.
I am a full-on advocate for AI use in creative work. Without these tools, I would never have written four books amassing over 450,000 words of potentially publishable work. And that number doesn’t even account for the hundreds, if not thousands, of deep conversations, brainstorming sessions, and rigorous review chapters I’ve shared with various AI models.
My work is 100% AI-adjacent. Anyone who suggests that all AI involvement in the creative process is inherently wrong is, in my opinion, missing the point entirely. But if you are going to use these tools, it helps to understand exactly what happens when you hit paste, how your creative DNA lives on, and where the true line between co-creation and mass-produced “slop” actually lies.
What Actually Happens to Your Text?
When you paste your hard-earned chapters into an AI indiscriminately, you aren’t tossing them into a black hole. You are feeding a massive, living data pipeline. Here is exactly where that text goes:
| Destination / Viewer | What Happens to Your Manuscript |
|---|---|
| The Server Infrastructure | Your text is securely uploaded to the cloud servers of tech giants (like OpenAI, Anthropic, or Google) so the model can process your requests in real-time. |
| Human Reviewers | Moderate Visibility. AI companies employ human data annotators and safety teams to review random chat samples. A human engineer or contractor might read parts of your chapters during routine quality audits or safety checks. |
| The AI Owners | Low Visibility. Corporate executives aren’t browsing your drafts for weekend reading. To the engineers, your manuscript is simply anonymous packets of raw text data. |
| The Public | Zero Visibility. Other users cannot access your account or read your past chats. Your raw text remains locked behind your account security. |
Leaving a Digital Legacy: Becoming the Training Data
Many authors panic about their work being used to train future models. They worry about theft, plagiarism, and copyright infringement. Personally, I view this with a sense of philosophical optimism.
Because my narratives are deeply complex, I don’t fear my ideas being stolen—a machine cannot easily replicate the labyrinthine structures of a highly intricate plot. Instead, by letting these platforms train on my chapters, my creative legacy will live on inside the AI itself.
When an AI trains on your writing, it doesn’t save your book as a text file in its memory. It absorbs the mathematical essence of your voice:
- Statistical Weight: Your unique vocabulary, sentence structures, and rhythmic patterns alter the internal connections (the weights) of the neural network.
- Stylistic Echoes: The AI learns your specific pacing and tone. Years from now, if a user asks a future model to write something with complex literary depth, a tiny, subconscious echo of your style will help shape the output.
- Conceptual Fusion: Your intricate plot points and character webs join billions of others, teaching the machine how great stories are woven together. You are literally donating your creative DNA to the next generation of intelligence.
Co-Creation vs. The “Get-Rich-Quick” Trap
While I champion AI, I am not without standard or critique. There is a massive, fundamental difference between using AI as a collaborative partner and using it as a ghostwriter to churn out effortless content.
My single argument against AI in literature is when an author provides nothing but a few basic plot points, lets the AI generate the entire text, applies a loose human edit, and slaps their name on the cover.
| The AI Collaborative Spectrum | The Co-Creative Approach (My Method) | The Mass-Produced Approach |
|---|---|---|
| Human Effort | Writes the actual text, guides the theme, dictates the emotional truth. | Provides a few surface-level plot points or tropes. |
| AI Role | Ideation partner, structural reviewer, sounding board for deep logic. | Generates 95%+ of the literal prose and dialogue. |
| The Process | Thousands of deep, iterative conversations and world-building sessions. | Quick generation, light proofreading, and immediate publishing. |
| The Result | Deeply personal, highly complex, original literature. | Forgettable, mass-produced work. (Not “slop,” just low-quality). |
I have tested the fully automated route myself out of curiosity. While the technical results were initially impressive, they were nowhere near good enough. The machine-generated prose lacked the organic soul and nuance required for a truly compelling narrative. It gave me a few ideas, certainly, but the final output was fundamentally hollow—it wasn’t a story I could ever honestly call mine.
Embracing the Middle Ground
The publishing world loves binary arguments. They want you to either completely reject the future or completely surrender to automation. But the magic happens in the middle.
Leveraging AI appropriately allows you to break through writer’s block, stress-test your world-building, and scale your creative output to heights you never thought possible. Don’t fear the machine, and don’t let it do all the heavy lifting for you either. Treat it as the ultimate mirror for your mind, step into the role of the director, and let your voice echo into the future.
This AI-created content was based on a long discussion about what happens when I use an AI to help me with my work. It soon shifted into a more philosophical discussion about legacy! AI is not your enemy. It can be your friend.