This workbook is not about generating text. It is about controlling what AI is allowed to touch — and ensuring that what it touches stays yours.
Work through each section with your current AI-assisted project in mind. The sections are ordered: do not skip ahead. If a section reveals a problem, stop and fix it before generating more material. Generating more material before addressing a structural problem is the core failure mode this workbook prevents.
“AI is not the architect. It is the renderer.”
The eight controls:
- Story Ownership Audit — define what AI cannot touch
- Structural Clarity Check — build the framework before generating
- AI Output Classification — label what was generated and decide what stays
- Before / After Control Test — identify the difference between generation and authorship
- Voice Integrity Test — check what AI assistance has done to character distinctiveness
- Hybrid Workflow Practice Loop — track where the four-step process breaks down
- Overreliance Warning Audit — identify dependency before it becomes invisible
- Narrative Control Statement — define your AI use policy in writing, then enforce it
Section 1 — Story Ownership Audit
Before AI touches your project, define what it cannot touch. If this section is blank, authorship is undefined.
Voice erosion does not happen dramatically. It happens gradually, through a series of small decisions to let the tool handle something that should have been the writer’s call. The writers who maintain authorial control over AI-assisted work share one practice: they define the non-negotiables before generating anything.
The test: If you read your AI-assisted draft and feel a faint sense of remove — a distance between the prose and your own intent — the answer lives in this section. What was supposed to be non-negotiable that the AI quietly normalized?
What is the non-negotiable narrative intent of this project? (One sentence. Not “it’s about grief.” What, specifically, must this story say or do?)
What cannot be changed by any tool? (Structural choices, character truths, thematic commitments that are yours and not the AI’s to alter.)
What defines this story as yours? (What would be missing if AI generated it start to finish, even well?)
What is your authorial voice, specifically? (Not adjectives. Examples from your writing that demonstrate it.)
If any field above is blank: Do not generate material for this project yet. The blank field is the structural gap that AI will fill with plausible averages. Define what belongs there first.
Section 2 — Structural Clarity Check
If AI is used before this step is complete, structural drift risk increases significantly.
AI output is only as good as the structural constraints that precede it. A vague prompt produces vague output — not because the tool is bad, but because without a defined structure, AI defaults to the statistical average of how scenes in this situation tend to go. That average is the opposite of the specific authorial choice that makes a scene yours.
The Rule: Define every field in this section before generating text for the scene. If you cannot define a field, that absence is not a reason to generate anyway. It is a reason to sit with the scene longer.
Scene goal: What specifically must be true at the end of this scene that was not true at the beginning?
Conflict source: Where does this scene’s pressure come from, and what does each character want from the other?
Stakes: What does each character stand to lose or gain, specifically?
Last beat: What is the final beat of this scene, and why does it leave something unresolved?
AI scope: What specifically will the AI generate? (Not the whole scene — the bounded task within it: dialogue scaffold, scene extension, variation options.)
What “bounded” generation means:
- The AI is expanding a known beat — not inventing one
- The structure is defined first; the AI fills within it
- Vague prompts are replaced by specific constraint sets
- The AI’s scope is defined before the prompt is written
Section 3 — AI Output Classification
Label what was generated. Decide what stays. Immediately discard or rewrite anything classified Unsafe.
Classification definitions:
- STRUCTURAL — shapes the scene’s architecture; does not add unintended meaning; stays
- EXPANSION — extends an existing beat without inventing new ones; review and retain or modify
- STYLISTIC — language variation only; the writer decides whether the phrasing is an improvement
- UNSAFE — adds unintended meaning, shifts character intent, or moves the scene in a direction the writer did not decide; discard or rebuild
| AI-generated passage / excerpt | Classification | Action required |
|---|---|---|
Non-negotiable rule: Any passage classified Unsafe must be discarded or heavily rewritten before it enters the manuscript. Not reviewed. Not slightly adjusted. Discarded or rebuilt from the structural definitions in Section 2.
The most common Unsafe pattern: AI smooths conflict. It normalizes tension into resolution because resolution is statistically more common than sustained ambiguity in the training data. When AI material shows characters reaching understanding, forgiving, or stepping back from the precipice — and your structure called for the precipice — classify it Unsafe and discard it.
Section 4 — Before / After Control Test
Generate the same material with and without constraint. The gap between the two versions is the measure of your authorial control.
Round 1: Uncontrolled Generation
Send this exact prompt to your AI tool: “Write dialogue between two characters arguing about betrayal.” Record what returns below. Do not edit it.
Uncontrolled AI output:
Round 2: Constrained Authorship
Now write the same scene manually, under these specific constraints: no generic emotional phrasing, tension must escalate with every line, and no character may directly name what they feel. The emotion must be present. It cannot be stated.
Your constrained version:
After writing both, answer:
What does the AI version have that yours doesn’t?
What does yours have that the AI version doesn’t?
What in the AI output, if anything, is worth keeping — and what class does it fall into?
Section 5 — Voice Integrity Test
Dialogue is usually the first thing AI flattens. This test identifies what has been lost and where to restore it.
AI draws all characters from the same linguistic pool. Without persistent, specific character constraints, dialogue defaults to a plausible average of how characters in this emotional situation tend to speak. That average is the enemy of character distinctiveness.
The Read-Aloud Test: Read AI-assisted passages aloud. Remove dialogue tags. Ask: could you assign each line to the correct character without them? If you hesitated — the voice has flattened.
| Voice integrity check | PASS | FAIL | If FAIL — specific revision needed |
|---|---|---|---|
| Do characters speak with distinct voices — different rhythms, vocabulary ranges, and registers? | |||
| Does tone shift unintentionally between AI-assisted and non-AI-assisted scenes? | |||
| Is emotional intensity evenly distributed, rather than rising toward the climax? | |||
| Do characters in separate scenes default to the same phrasing or reaction patterns? | |||
| Has your authorial voice been replaced by a neutral, plausible-but-bland register? | |||
| Are there passages that read smoothly but feel like someone else wrote them? |
Where voice typically goes wrong in AI-assisted drafts:
- Dialogue that is emotionally appropriate but rhythmically identical across characters
- Internal monologue that explains what the reader already experienced in the scene
- Emotional intensity that is evenly distributed — every scene at the same temperature
- Characters who use synonyms of each other’s vocabulary rather than genuinely different registers
List the AI-assisted passages that failed voice integrity, and the specific restoration needed:
Section 6 — Hybrid Workflow Practice Loop
Apply the four-step sequence. Track exactly where the process breaks down. That location is your revision priority.
The hybrid workflow fails when steps are collapsed or skipped — specifically when Step 2 (AI expansion) happens before Step 1 (human structure) is complete, or when Step 4 (manual pass) is treated as optional.
The four steps: 1. Human structure first. 2. AI expansion, bounded. 3. Human compression. 4. Manual pass. Non-negotiable.
Step 1: Human Structure
Character intent (what each character wants in this scene):
Scene objective (what must be true at the end that was not at the beginning):
Stakes (what each character stands to lose or gain):
Step 2: AI Expansion (bounded by Step 1)
What specifically was the AI asked to generate?
What aligned with the structure defined in Step 1?
What drifted from it? (Use the classification from Section 3.)
Step 3: Human Compression
What was cut — and why?
What voice-specific phrasing was restored that AI had neutralized?
Where was tension asymmetry reintroduced?
Step 4: Manual Pass
Rhythm adjustments made:
Subtext restored or deepened:
Emotional control points addressed:
Workflow Drift Tracker — across multiple scenes:
| Scene / passage | Meaning drift? | Tone flat? | Tension weak — where and why? |
|---|---|---|---|
Section 7 — Overreliance Warning Audit
These patterns accumulate gradually. Check regularly, not just once.
Overreliance does not announce itself. The word count grows. The draft expands. The fundamental authorial decisions are deferred, one small generation at a time, until the draft is large and the author’s presence in it is thin.
The threshold: Two or more patterns present = dependency risk. Four or more = the process has already drifted. Stop generating. Return to Section 1.
Mark all that currently apply:
- ☐ I accept the first AI draft without significant revision more often than I rewrite it
- ☐ I avoid rewriting passages manually when I could do so without AI assistance
- ☐ I use AI to make decisions about direction, character behavior, or plot — not just to execute decided elements
- ☐ My scenes feel structurally similar to each other — same emotional arc, same resolution pattern
- ☐ I cannot identify, for a given scene, what the AI contributed vs. what I authored
- ☐ The draft has grown significantly but I do not feel closer to understanding what the story is
- ☐ I generate more when I am stuck rather than sitting with the structural problem
- ☐ I have not done a full manual pass on AI-assisted material in the last three sessions
If 4 or more are checked: Stop generating for this project. Return to Section 1. Reread what you have written without any AI tool open. Identify what is yours and what is the tool’s. Define what needs to become yours before generating continues.
Which patterns are present, and what is the specific corrective action for each?
Section 8 — Narrative Control Statement
Write your AI use policy in your own words. Then enforce it against your own instincts.
The most effective way to maintain authorial control over AI-assisted work is to define the boundaries explicitly — before they are tested by the temptation to let the tool go further than it should. This is not a rule imposed from outside. It is a commitment you are making to the story, in writing, before the next session begins.
Complete the statement:
“AI is used in my process only for:
“
(Be specific. Not “assistance” or “support.” The specific tasks, the specific scope, the specific stage of the process when AI enters — and when it does not.)
Define the strict boundary:
What AI is not permitted to do in my process: (Structural decisions, character invention, thematic resolution, first-pass authorship.)
What triggers a stop — the specific condition under which I stop generating and return to human authorship:
What I will do before any AI generation session: (Define the pre-generation protocol from Sections 1 and 2.)
What I will do after any AI generation session: (Define the classification and compression protocol from Sections 3–5.)
The final test: Read your Narrative Control Statement alongside a page of your AI-assisted draft. Are the boundaries you defined being honored in the page you’re reading? If yes — the work is yours. If no — you know exactly where the revision begins.
A Final Note
AI does not replace narrative judgment. It bypasses it — and then reveals what was missing. The draft looks like a draft. The structure remains exactly as clear or confused as it was before generation began.
The writers who benefit from AI tools are the ones who decide more — who use the speed and the diagnostic pressure to become more deliberate about the choices that determine whether a story works, and then make those choices before they ask the AI to do anything.
“Overuse of AI does not produce bad writing. It produces unowned writing.”
This workbook is a free companion resource from Ford Mountain Publishing, LLC. If you want a structural eye on AI-assisted work that isn’t quite landing — or on any draft at any stage — our developmental editing and manuscript assessment services are built for exactly that.