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Author Joel Borgen, who co-wrote a novel with AI, found that models are not autonomous writers. They require a detailed human-provided plan for the story's architecture, and the generated prose is often unreadable without significant human scaffolding and editing.

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When AI agents handle the bulk of text generation, the human's role shifts from primary author to a high-level director. Instead of writing from scratch, the human intervenes sparingly to make crucial changes, a feeling described as "God coming down" to add a single sentence.

Lieberman argues that when his "Content Machine" produces low-quality output, it's not the AI's fault. It's an indictment of the user for not providing sufficiently specific, insightful, or story-driven ideas during the AI interview step. The quality of AI-assisted output is fundamentally limited by the quality of the human input.

AI tools rarely produce perfect results initially. The user's critical role is to serve as a creative director, not just an operator. This means iteratively refining prompts, demanding better scripts, and correcting logical flaws in the output to avoid generic, low-quality content.

The problem with AI-generated content isn't just generic phrasing but the erosion of reader trust and believability. An effective workflow involves a human writing the initial draft to embed genuine ideas and voice, then using AI tools specifically to strip out repetitive patterns and clean up the text.

As AI floods the digital space with grammatically correct but often bland or nonsensical content, the most valuable skill is shifting from pure writing to high-level editing. The ability to refine text, check for meaning, and ensure creativity—tasks where AI is weak—is becoming more critical and valuable.

While AI tools excel at generating initial drafts of code or designs, their editing capabilities are poor. The difficulty of making specific changes often forces creators to discard the AI output and start over, as editing is where the "magic" breaks down.

The controversy over AI's role in editing is misguided because books have never been the sole product of a single author. The final text is already an amalgamation of inputs from editors and agents. AI is simply a new tool in this long-standing collaborative process, not a fundamental shift in authorial purity.

AI is a poor substitute for authentic writing and cannot replicate a unique voice. However, it's an invaluable tool for accelerating the editing process. By feeding it drafts and previous work, you can get instant, objective feedback on flow, repetition, and weak points, creating a faster feedback loop than human editors alone.

AI will automate the creation of first drafts, which are often based on existing ideas. This shifts the value from initial creation to refinement. The editor, who curates and improves the AI's output, will become more critical and valued than the writer who once created from scratch.

While many fear AI-generated books, author Joanna Stern reveals how professionals actually use the technology. AI was not used to write prose but was indispensable for backend tasks like organizing notes, managing timelines, and formatting endnotes, accelerating the entire process.