| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 27 | | adverbTagCount | 3 | | adverbTags | | 0 | "He gestured vaguely [vaguely]" | | 1 | "Quinn said flatly [flatly]" | | 2 | "Eva said quietly [quietly]" |
| | dialogueSentences | 65 | | tagDensity | 0.415 | | leniency | 0.831 | | rawRatio | 0.111 | | effectiveRatio | 0.092 | |
| 92.01% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1878 | | totalAiIsmAdverbs | 3 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
| | 2 | |
| | highlights | | 0 | "carefully" | | 1 | "barely above a whisper" | | 2 | "slightly" |
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| 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) | |
| 62.73% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1878 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "footsteps" | | 1 | "echoing" | | 2 | "weight" | | 3 | "etched" | | 4 | "tracing" | | 5 | "familiar" | | 6 | "tension" | | 7 | "flicked" | | 8 | "whisper" | | 9 | "resolve" | | 10 | "unwavering" | | 11 | "anticipation" | | 12 | "loomed" | | 13 | "depths" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 101 | | matches | (empty) | |
| 86.28% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 101 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 138 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1886 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 26 | | unquotedAttributions | 0 | | matches | (empty) | |
| 45.48% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 64 | | wordCount | 1196 | | uniqueNames | 19 | | maxNameDensity | 2.09 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Detective | 1 | | Harlow | 1 | | Quinn | 25 | | Town | 1 | | Davies | 6 | | Good | 1 | | Victorian | 2 | | Italian | 1 | | Morris | 5 | | Eva | 11 | | Kowalski | 2 | | Research | 1 | | Assistant | 1 | | Department | 1 | | Ancient | 1 | | History | 1 | | Underground | 1 | | London | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Davies" | | 3 | "Morris" | | 4 | "Eva" | | 5 | "Kowalski" | | 6 | "Underground" |
| | places | | | globalScore | 0.455 | | windowScore | 0.5 | |
| 18.42% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 76 | | glossingSentenceCount | 4 | | matches | | 0 | "explorers and, apparently, murderers" | | 1 | "quite hear" | | 2 | "shapes that seemed to shift when she looked at them too directly" | | 3 | "gesture that seemed to steel her resolve" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.53 | | wordCount | 1886 | | matches | | 0 | "not north but toward the darkened tunnel mouth at the end of the platform" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 138 | | matches | | 0 | "finished that sentence" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 63 | | mean | 29.94 | | std | 19.8 | | cv | 0.661 | | sampleLengths | | 0 | 53 | | 1 | 30 | | 2 | 28 | | 3 | 3 | | 4 | 50 | | 5 | 1 | | 6 | 9 | | 7 | 54 | | 8 | 53 | | 9 | 50 | | 10 | 8 | | 11 | 30 | | 12 | 43 | | 13 | 51 | | 14 | 12 | | 15 | 54 | | 16 | 13 | | 17 | 52 | | 18 | 7 | | 19 | 3 | | 20 | 53 | | 21 | 31 | | 22 | 55 | | 23 | 6 | | 24 | 31 | | 25 | 29 | | 26 | 43 | | 27 | 2 | | 28 | 73 | | 29 | 15 | | 30 | 58 | | 31 | 25 | | 32 | 27 | | 33 | 38 | | 34 | 52 | | 35 | 3 | | 36 | 36 | | 37 | 4 | | 38 | 41 | | 39 | 4 | | 40 | 19 | | 41 | 40 | | 42 | 55 | | 43 | 4 | | 44 | 8 | | 45 | 19 | | 46 | 48 | | 47 | 8 | | 48 | 62 | | 49 | 17 |
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| 94.84% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 101 | | matches | | 0 | "been sealed" | | 1 | "been disturbed" | | 2 | "being dismissed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 203 | | matches | | 0 | "was looking" | | 1 | "was studying" | | 2 | "was thinking" |
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| 60.04% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 138 | | ratio | 0.029 | | matches | | 0 | "She was looking at the man's hands — specifically, at what he held clutched in his right fist." | | 1 | "Footprints led from the platform edge toward where the man lay, but they were strange — deep at the heel, shallow at the toe, as if he'd been backing away from something." | | 2 | "She carried a worn leather satchel that bulged with books, and something about her — the freckled face, the nervous way she tucked hair behind her left ear — suggested she was used to being dismissed." | | 3 | "At first she saw nothing — just the crumbling wall, the faded station signage, the eternal darkness of the tunnel mouth." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1195 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 37 | | adverbRatio | 0.03096234309623431 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.011715481171548118 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 138 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 138 | | mean | 13.67 | | std | 8.94 | | cv | 0.654 | | sampleLengths | | 0 | 23 | | 1 | 30 | | 2 | 10 | | 3 | 20 | | 4 | 20 | | 5 | 8 | | 6 | 3 | | 7 | 25 | | 8 | 2 | | 9 | 1 | | 10 | 22 | | 11 | 1 | | 12 | 3 | | 13 | 6 | | 14 | 23 | | 15 | 12 | | 16 | 19 | | 17 | 9 | | 18 | 18 | | 19 | 26 | | 20 | 22 | | 21 | 16 | | 22 | 3 | | 23 | 9 | | 24 | 8 | | 25 | 10 | | 26 | 20 | | 27 | 3 | | 28 | 18 | | 29 | 15 | | 30 | 7 | | 31 | 11 | | 32 | 16 | | 33 | 24 | | 34 | 3 | | 35 | 9 | | 36 | 13 | | 37 | 3 | | 38 | 8 | | 39 | 13 | | 40 | 17 | | 41 | 13 | | 42 | 3 | | 43 | 15 | | 44 | 32 | | 45 | 2 | | 46 | 7 | | 47 | 3 | | 48 | 9 | | 49 | 15 |
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| 69.08% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.4492753623188406 | | totalSentences | 138 | | uniqueOpeners | 62 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 94 | | matches | | 0 | "Just past midnight." | | 1 | "Then her eyes adjusted, and" | | 2 | "Then she exhaled, reaching into" |
| | ratio | 0.032 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 94 | | matches | | 0 | "She ducked under the police" | | 1 | "She approached, pulling on nitrile" | | 2 | "His face held an expression" | | 3 | "Her worn leather watch caught" | | 4 | "She said it flatly, without" | | 5 | "She was looking at the" | | 6 | "She'd never seen anything quite" | | 7 | "she said, and someone pressed" | | 8 | "She photographed the compass from" | | 9 | "She was studying the ground" | | 10 | "She followed the victim's trail" | | 11 | "He gestured vaguely at the" | | 12 | "She stopped herself." | | 13 | "She carried a worn leather" | | 14 | "She trailed off, catching herself" | | 15 | "She'd told herself for three" | | 16 | "He didn't have delusions." | | 17 | "He didn't make things up." | | 18 | "She looked at the tunnel" | | 19 | "She thought about Morris, about" |
| | ratio | 0.255 | |
| 34.47% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 80 | | totalSentences | 94 | | matches | | 0 | "The abandoned Tube station smelled" | | 1 | "She ducked under the police" | | 2 | "Camden Town's underground ran deep," | | 3 | "The station had been sealed" | | 4 | "Sergeant Davies met her at" | | 5 | "Davies consulted his notebook, though" | | 6 | "Davies's jaw tightened." | | 7 | "The platform opened up ahead" | | 8 | "Officers moved around the perimeter" | | 9 | "The body lay near the" | | 10 | "She approached, pulling on nitrile" | | 11 | "The victim wore a charcoal" | | 12 | "His face held an expression" | | 13 | "Quinn crouched beside him, studying" | | 14 | "Her worn leather watch caught" | | 15 | "The witching hour, her grandmother" | | 16 | "She said it flatly, without" | | 17 | "Davies shifted his weight" | | 18 | "Quinn said nothing." | | 19 | "She was looking at the" |
| | ratio | 0.851 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 94 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 11 | | matches | | 0 | "The abandoned Tube station smelled of rust and something older, something that clung to the back of Detective Harlow Quinn's throat like ash." | | 1 | "She ducked under the police tape stretched across the crumbling archway and stepped onto the platform, her footsteps echoing against tile walls that hadn't seen…" | | 2 | "The platform opened up ahead of them, lit now by the harsh glare of portable floodlights that made the Victorian tilework look surgical." | | 3 | "The victim wore a charcoal suit, well-tailored, Italian leather shoes that had never touched puddle water before tonight." | | 4 | "Quinn crouched beside him, studying the scene with the same military precision that had carried her through eighteen years on the force." | | 5 | "Footprints led from the platform edge toward where the man lay, but they were strange — deep at the heel, shallow at the toe, as if he'd been backing away from …" | | 6 | "But Morris had died in a room with one door and no windows, screaming about shadows that moved wrong, and the coroner had ruled it an aneurysm despite the expre…" | | 7 | "She carried a worn leather satchel that bulged with books, and something about her — the freckled face, the nervous way she tucked hair behind her left ear — su…" | | 8 | "Victorian era, glazed ceramic, the kind that lined every Underground station in London." | | 9 | "She'd told herself for three years that it was a delusion, a symptom of the aneurysm that killed him." | | 10 | "She was already walking toward the darkness, the compass clutched in her hand, its needle quivering with something that felt almost like anticipation." |
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| 50.93% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 27 | | uselessAdditionCount | 4 | | matches | | 0 | "Sergeant Davies met, his torch cutting a pale wedge through the darkness" | | 1 | "Quinn stood, her knees protesting the movement" | | 2 | "Eva said quietly, moving to stand beside Quinn" | | 3 | "she called, her voice carrying across the platform with crisp authority" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 1 | | fancyTags | | 0 | "Davies observed (observe)" |
| | dialogueSentences | 65 | | tagDensity | 0.123 | | leniency | 0.246 | | rawRatio | 0.125 | | effectiveRatio | 0.031 | |