| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.45% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1422 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slightly" | | 1 | "carefully" | | 2 | "slowly" |
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| 60.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 61.32% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1422 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "footsteps" | | 1 | "echoed" | | 2 | "furrowed" | | 3 | "weight" | | 4 | "glint" | | 5 | "etched" | | 6 | "standard" | | 7 | "intricate" | | 8 | "methodical" | | 9 | "charged" | | 10 | "flickered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 82 | | matches | | |
| 90.59% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 82 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 106 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 88 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1440 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 933 | | uniqueNames | 5 | | maxNameDensity | 2.04 | | worstName | "Quinn" | | maxWindowNameDensity | 5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 19 | | Patel | 10 | | Tube | 1 | | Eva | 10 | | Kowalski | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Patel" | | 2 | "Eva" | | 3 | "Kowalski" |
| | places | (empty) | | globalScore | 0.482 | | windowScore | 0 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 4 | | matches | | 0 | "smelled like rust and damp concrete, the k" | | 1 | "quite fear and wasn't quite surprise — his mouth slightly open, his eyes wide, his brow furrowed like he'd been trying to solve an equation in his last moments" | | 2 | "quite surprise — his mouth slightly open, his eyes wide, his brow furrowed like he'd been trying to solve an equation in his last moments" | | 3 | "Symbols that seemed to shift in the torchlight, though she knew that was impossible" | | 4 | "looked like books" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.694 | | wordCount | 1440 | | matches | | 0 | "not standard numerals or degree readings, but something older, more intricate" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 106 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 32.73 | | std | 25.42 | | cv | 0.777 | | sampleLengths | | 0 | 68 | | 1 | 16 | | 2 | 63 | | 3 | 42 | | 4 | 71 | | 5 | 55 | | 6 | 37 | | 7 | 4 | | 8 | 64 | | 9 | 41 | | 10 | 5 | | 11 | 5 | | 12 | 2 | | 13 | 51 | | 14 | 64 | | 15 | 44 | | 16 | 85 | | 17 | 10 | | 18 | 10 | | 19 | 29 | | 20 | 5 | | 21 | 33 | | 22 | 20 | | 23 | 41 | | 24 | 57 | | 25 | 7 | | 26 | 27 | | 27 | 8 | | 28 | 16 | | 29 | 1 | | 30 | 16 | | 31 | 48 | | 32 | 64 | | 33 | 6 | | 34 | 36 | | 35 | 1 | | 36 | 6 | | 37 | 44 | | 38 | 5 | | 39 | 20 | | 40 | 100 | | 41 | 18 | | 42 | 48 | | 43 | 47 |
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| 88.15% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 82 | | matches | | 0 | "was jammed" | | 1 | "was frozen" | | 2 | "were manicured" | | 3 | "was etched" |
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| 34.37% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 161 | | matches | | 0 | "were detecting" | | 1 | "was looking" | | 2 | "wasn't fabricating" | | 3 | "was choosing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 106 | | ratio | 0.094 | | matches | | 0 | "She checked her watch — the worn leather band had softened to the shape of her wrist over the years — and noted the time: 11:47 PM." | | 1 | "His expression was frozen in something that wasn't quite fear and wasn't quite surprise — his mouth slightly open, his eyes wide, his brow furrowed like he'd been trying to solve an equation in his last moments." | | 2 | "She noted the overcoat first — cashmere, well-cut, recently dry-cleaned." | | 3 | "The fingernails were clean, yes, but the pads of the fingers had a faint discoloration — a greenish tint, barely visible, concentrated on the thumb and forefinger of the right hand." | | 4 | "The beam caught on something near the edge of the track bed — a small glint of brass." | | 5 | "The face was etched with markings she didn't recognize — not standard numerals or degree readings, but something older, more intricate." | | 6 | "She was looking for what didn't belong — the principle that had served her through hundreds of crime scenes." | | 7 | "She tucked a curl of red hair behind her left ear — a nervous gesture, but her eyes stayed level." | | 8 | "The woman was scared — Quinn could see it in the set of her jaw, the whiteness of her knuckles around the satchel strap — but she wasn't scatterbrained and she wasn't fabricating." | | 9 | "Eva's eyes went to it immediately, and something flickered across her face — recognition, certainly, but also something else." |
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| 98.11% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 925 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 39 | | adverbRatio | 0.04216216216216216 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.015135135135135135 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 106 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 106 | | mean | 13.58 | | std | 13.17 | | cv | 0.969 | | sampleLengths | | 0 | 19 | | 1 | 28 | | 2 | 21 | | 3 | 12 | | 4 | 4 | | 5 | 3 | | 6 | 27 | | 7 | 7 | | 8 | 26 | | 9 | 4 | | 10 | 21 | | 11 | 9 | | 12 | 8 | | 13 | 11 | | 14 | 18 | | 15 | 3 | | 16 | 2 | | 17 | 37 | | 18 | 6 | | 19 | 49 | | 20 | 5 | | 21 | 10 | | 22 | 7 | | 23 | 4 | | 24 | 11 | | 25 | 4 | | 26 | 10 | | 27 | 54 | | 28 | 5 | | 29 | 9 | | 30 | 5 | | 31 | 22 | | 32 | 5 | | 33 | 5 | | 34 | 2 | | 35 | 4 | | 36 | 47 | | 37 | 6 | | 38 | 5 | | 39 | 31 | | 40 | 3 | | 41 | 19 | | 42 | 9 | | 43 | 18 | | 44 | 17 | | 45 | 2 | | 46 | 10 | | 47 | 7 | | 48 | 21 | | 49 | 14 |
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| 66.98% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.42452830188679247 | | totalSentences | 106 | | uniqueOpeners | 45 | |
| 88.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 75 | | matches | | 0 | "Bright, thorough, by the book." | | 1 | "Then Eva Kowalski loosened her" |
| | ratio | 0.027 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 75 | | matches | | 0 | "She checked her watch —" | | 1 | "They reached the platform." | | 2 | "His expression was frozen in" | | 3 | "She noted the overcoat first" | | 4 | "He believed in evidence and" | | 5 | "She studied the hands again." | | 6 | "She leaned closer." | | 7 | "She stood and swept her" | | 8 | "She stepped carefully around the" | | 9 | "She turned it over in" | | 10 | "It sat fixed at an" | | 11 | "she said, holding out her" | | 12 | "She sealed the compass inside" | | 13 | "She kept her voice flat" | | 14 | "She was looking for what" | | 15 | "She tucked a curl of" | | 16 | "She looked at the compass," | | 17 | "She held Eva's gaze" |
| | ratio | 0.24 | |
| 40.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 75 | | matches | | 0 | "The stairs down smelled like" | | 1 | "Harlow Quinn clicked her torch" | | 2 | "Quinn said nothing." | | 3 | "She checked her watch —" | | 4 | "They reached the platform." | | 5 | "The old advertising boards still" | | 6 | "The ticket barrier was jammed" | | 7 | "Quinn's torch swept across the" | | 8 | "The body lay in the" | | 9 | "A man, mid-fifties, heavyset, dressed" | | 10 | "His expression was frozen in" | | 11 | "Patel came to stand beside" | | 12 | "Quinn crouched beside the body." | | 13 | "She noted the overcoat first" | | 14 | "The shoes were polished leather," | | 15 | "The fingernails were manicured." | | 16 | "This was not a man" | | 17 | "Patel spread his hands" | | 18 | "Quinn looked up at him." | | 19 | "Patel had been on the" |
| | ratio | 0.84 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 7 | | matches | | 0 | "Harlow Quinn clicked her torch on and kept her left hand free, a habit from eighteen years on the force that had outlasted most of her other instincts." | | 1 | "Three hours since a maintenance worker on an unscheduled inspection had found the body and, according to dispatch, nearly broken his neck fleeing up the stairs." | | 2 | "The old advertising boards still clung to the walls, their faded posters promising products from companies that had folded decades ago." | | 3 | "A man, mid-fifties, heavyset, dressed in an expensive overcoat that looked grotesquely out of place against the grime." | | 4 | "His expression was frozen in something that wasn't quite fear and wasn't quite surprise — his mouth slightly open, his eyes wide, his brow furrowed like he'd be…" | | 5 | "It sat fixed at an angle, quivering with a faint but persistent vibration, as though it were detecting something beyond the range of ordinary instruments." | | 6 | "Freckled face, pale, green eyes that tracked Quinn's approach with an alertness that didn't match the shock-blanket posture." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0 | | effectiveRatio | 0 | |