| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 1 | | adverbTags | | 0 | "Rory said quickly [quickly]" |
| | dialogueSentences | 49 | | tagDensity | 0.204 | | leniency | 0.408 | | rawRatio | 0.1 | | effectiveRatio | 0.041 | |
| 91.30% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1150 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 21.74% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1150 | | totalAiIsms | 18 | | found | | 0 | | | 1 | | word | "practiced ease" | | count | 1 |
| | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | |
| | highlights | | 0 | "weight" | | 1 | "practiced ease" | | 2 | "stomach" | | 3 | "intensity" | | 4 | "warmth" | | 5 | "flicked" | | 6 | "tension" | | 7 | "unravel" | | 8 | "silence" | | 9 | "pulse" | | 10 | "flickered" | | 11 | "vibrated" | | 12 | "gleaming" | | 13 | "efficient" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "stomach dropped/sank" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "stomach dropped" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 90 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 90 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 129 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 18 | | markdownWords | 27 | | totalWords | 1145 | | ratio | 0.024 | | matches | | 0 | "knowing" | | 1 | "help" | | 2 | "\"Aurora. I know you’re in there.\"" | | 3 | "Lucien." | | 4 | "run, before it’s too late" | | 5 | "chérie" | | 6 | "Focus." | | 7 | "delicate" | | 8 | "seen" | | 9 | "dangerous" | | 10 | "me" | | 11 | "Frenchman" | | 12 | "wrong" | | 13 | "crack" | | 14 | "older" | | 15 | "outside" | | 16 | "shink" | | 17 | "chérie" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 18.74% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 54 | | wordCount | 838 | | uniqueNames | 5 | | maxNameDensity | 2.63 | | worstName | "Rory" | | maxWindowNameDensity | 4 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 22 | | Eva | 19 | | Moreau | 1 | | Lucien | 11 | | Marseille | 1 |
| | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "Moreau" | | 3 | "Lucien" |
| | places | | | globalScore | 0.187 | | windowScore | 0.333 | |
| 53.85% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 2 | | matches | | 0 | "smelled like chamomile tea and old paper," | | 1 | "something like fear in them" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.873 | | wordCount | 1145 | | matches | | 0 | "Not the usual dimming of an overloaded circuit, but a violent, erratic pulse, like something was *wrong* with th" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 129 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 60 | | mean | 19.08 | | std | 15.52 | | cv | 0.814 | | sampleLengths | | 0 | 54 | | 1 | 38 | | 2 | 24 | | 3 | 59 | | 4 | 16 | | 5 | 34 | | 6 | 18 | | 7 | 52 | | 8 | 4 | | 9 | 23 | | 10 | 6 | | 11 | 21 | | 12 | 22 | | 13 | 5 | | 14 | 4 | | 15 | 47 | | 16 | 18 | | 17 | 6 | | 18 | 8 | | 19 | 67 | | 20 | 11 | | 21 | 11 | | 22 | 8 | | 23 | 46 | | 24 | 9 | | 25 | 10 | | 26 | 12 | | 27 | 22 | | 28 | 8 | | 29 | 7 | | 30 | 22 | | 31 | 9 | | 32 | 28 | | 33 | 41 | | 34 | 10 | | 35 | 37 | | 36 | 3 | | 37 | 21 | | 38 | 18 | | 39 | 11 | | 40 | 1 | | 41 | 24 | | 42 | 19 | | 43 | 17 | | 44 | 3 | | 45 | 5 | | 46 | 36 | | 47 | 6 | | 48 | 9 | | 49 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 90 | | matches | | |
| 18.59% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 147 | | matches | | 0 | "was already moving" | | 1 | "was itching" | | 2 | "was holding" | | 3 | "was already grabbing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 129 | | ratio | 0.062 | | matches | | 0 | "Eva stood there, barefoot in an oversized sweater, her dark curls tangled from sleep, but her eyes were sharp—already assessing, already *knowing*." | | 1 | "The flat smelled like chamomile tea and old paper, the air thick with the scent of ink and something faintly metallic—probably Eva’s latest experiment gone wrong." | | 2 | "She’d come here because Eva was the only person who might understand, who might *help*—but standing in this flat, surrounded by the ghosts of their shared past, she wasn’t sure she could say it out loud." | | 3 | "His heterochromatic eyes—one amber, one black—locked onto Rory with an intensity that made her skin prickle." | | 4 | "That scar was a relic of a life she’d left behind—of a night in Marseille when she’d been young and reckless and stupid enough to think she could outrun the consequences." | | 5 | "Lucien’s lips parted—" | | 6 | "—and then the lights flickered." | | 7 | "Then—" |
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| 99.55% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 469 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.04051172707889126 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.008528784648187633 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 129 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 129 | | mean | 8.88 | | std | 7.71 | | cv | 0.868 | | sampleLengths | | 0 | 19 | | 1 | 22 | | 2 | 13 | | 3 | 14 | | 4 | 24 | | 5 | 7 | | 6 | 9 | | 7 | 8 | | 8 | 26 | | 9 | 12 | | 10 | 21 | | 11 | 13 | | 12 | 3 | | 13 | 25 | | 14 | 9 | | 15 | 4 | | 16 | 10 | | 17 | 4 | | 18 | 2 | | 19 | 14 | | 20 | 36 | | 21 | 4 | | 22 | 4 | | 23 | 16 | | 24 | 3 | | 25 | 3 | | 26 | 3 | | 27 | 19 | | 28 | 2 | | 29 | 7 | | 30 | 9 | | 31 | 6 | | 32 | 4 | | 33 | 1 | | 34 | 3 | | 35 | 1 | | 36 | 7 | | 37 | 40 | | 38 | 10 | | 39 | 8 | | 40 | 2 | | 41 | 4 | | 42 | 8 | | 43 | 25 | | 44 | 16 | | 45 | 26 | | 46 | 9 | | 47 | 2 | | 48 | 6 | | 49 | 5 |
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| 54.78% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.3333333333333333 | | totalSentences | 129 | | uniqueOpeners | 43 | |
| 43.29% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 77 | | matches | | | ratio | 0.013 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 77 | | matches | | 0 | "she said, stepping aside without" | | 1 | "She never did when it" | | 2 | "She just crossed her arms," | | 3 | "She’d come here because Eva" | | 4 | "She hadn’t seen him in" | | 5 | "His heterochromatic eyes—one amber, one" | | 6 | "He held an ivory-handled cane" | | 7 | "he murmured, his voice like" | | 8 | "He stepped inside without waiting" | | 9 | "His lips curved, but there" | | 10 | "He turned back to her," | | 11 | "His gaze dropped to her" | | 12 | "He’d *seen* her bleed." | | 13 | "She knew that look." | | 14 | "He tilted his head, the" | | 15 | "His heterochromatic eyes met hers," |
| | ratio | 0.208 | |
| 37.92% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 77 | | matches | | 0 | "The door swung open before" | | 1 | "Eva stood there, barefoot in" | | 2 | "she said, stepping aside without" | | 3 | "Rory exhaled, the weight of" | | 4 | "Eva’s lips twitched, but she" | | 5 | "She never did when it" | | 6 | "The flat smelled like chamomile" | | 7 | "Rory stepped inside, her boots" | | 8 | "Ptolemy, the tabby, eyed her" | | 9 | "Eva shut the door, sliding" | | 10 | "Rory shrugged off her soaked" | | 11 | "Eva didn’t deny it." | | 12 | "She just crossed her arms," | | 13 | "The truth was a tangle" | | 14 | "She’d come here because Eva" | | 15 | "Rory’s stomach dropped." | | 16 | "Eva’s eyes narrowed." | | 17 | "Rory’s fingers twitched toward the" | | 18 | "The knock came again, louder" | | 19 | "A voice, smooth and accented," |
| | ratio | 0.844 | |
| 64.94% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 77 | | matches | | 0 | "—and then the lights flickered." |
| | ratio | 0.013 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 6 | | matches | | 0 | "She’d come here because Eva was the only person who might understand, who might *help*—but standing in this flat, surrounded by the ghosts of their shared past,…" | | 1 | "Eva was already moving, her hand closing around the doorknob." | | 2 | "Lucien Moreau stood on the threshold like a man who owned the night, his platinum hair slicked back, his charcoal suit immaculate despite the rain." | | 3 | "His heterochromatic eyes—one amber, one black—locked onto Rory with an intensity that made her skin prickle." | | 4 | "He held an ivory-handled cane in one gloved hand, the other tucked casually into his pocket, as if he hadn’t just tracked her down like prey." | | 5 | "He stepped inside without waiting for an invitation, his gaze sweeping over the flat with the precision of a man who missed nothing." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 2 | | matches | | 0 | "Eva finished, her tone dry" | | 1 | "He tilted, the picture of innocence" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "he murmured (murmur)" | | 1 | "he corrected (correct)" |
| | dialogueSentences | 49 | | tagDensity | 0.082 | | leniency | 0.163 | | rawRatio | 0.5 | | effectiveRatio | 0.082 | |