Voice Pass: Making It Sound Like You
Define your voice profile: formality, humor, emotional intensity, rhythm, vocabulary, signature phrases, banned phrases. The Voice Pass uses a two-stage pipeline: instant deterministic detection of dozens of pattern families, then LLM evaluation that checks each candidate against your own approved chapters before flagging it. Every proposed change shows original, revision, reason, and rule.
Why this is hard
Long manuscripts have problems that short documents do not.
AI writing has identifiable patterns: repetitive openings, formulaic contrasts, slogan overload, unearned profundity, uniform paragraph lengths, empty transitions. Left unchecked, your book starts sounding like every other AI-assisted book.
You cannot catch every instance of a pattern by eye in a 300-page manuscript. And when you do catch one, you need to know whether it is a mechanical failure or your deliberate style. Most tools cannot tell the difference.
You define a voice profile: formality, humor, emotional intensity, rhythm, vocabulary, signature phrases, banned phrases, and examples of what sounds right versus artificial. You write project rules in plain language: no em dashes, no forced triads, name your sources. The Voice Pass runs in three modes (Conservative by default, Balanced, Aggressive) using a two-stage pipeline. First, a deterministic detector scans for dozens of pattern families with frequency thresholds, flagging density and repetition rather than single occurrences. Second, when AI is available, an LLM evaluates each candidate against your voice profile, your active rules, and exemplars from your approved chapters. If a pattern appears consistently in your approved work, it is treated as your style, not a mechanical failure. Proposed revisions must pass a quality bar before they reach you.
You accept, reject, or hand-edit each proposed change. Severity is calibrated: severe means it violates an explicit rule you wrote, warn means a mechanical pattern repeated enough to notice, info means borderline and possibly deliberate. Without an AI key, the deterministic detector alone still produces findings as manual-review flags. A global no-em-dashes rule is enforced in every prompt Inkloom sends.
What other Inkloom features interact with it
Chapter Editor
A real rich-text manuscript editor with autosave, full version history, focus mode, find and replace, VS Code-style keyboard shortcuts, a context menu with AI actions, and section-level operations. AI proposals arrive as side-by-side diffs. Your text is never overwritten.
Version History
Chapter content is append-only versioned. Every edit creates a new version. Restoring creates a new version pointing at old content. Compare any two versions side by side. AI-made versions are labeled. Nothing is ever overwritten or deleted.
Context Trace
Every AI-made version in a chapter's History carries a Trace button. One click shows exactly what Inkloom knew when it created that version: the model, the prompt template and its version, the timestamp, and every context item with whether it was always included or retrieved by relevance.
Relevant educational articles
How to Write a Book With AI Without Losing Your Voice
Writing a book with AI does not mean letting AI write your book. It means using AI as a tool inside your workflow while you remain the author. Here is how to do it without surrendering your voice.
How to Remove AI-Sounding Writing
AI writing has identifiable patterns: repetitive openings, formulaic contrasts, slogan overload, unearned profundity, uniform paragraph lengths. Here is how to find and remove them.
How to Preserve Your Writing Voice With AI
Your writing voice is what makes your book yours. AI can dilute it if you let it. Here is how to define, protect, and enforce your voice when using AI as a drafting tool.
Review
Whole-book editorial pass across every chapter.
Use AI without giving up your voice.
Let Inkloom find formulaic AI patterns while you decide what actually changes.
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Give it a memory.
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