| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.77% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1182 | | totalAiIsmAdverbs | 1 | | 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) | |
| 23.86% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1182 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "searing" | | 2 | "standard" | | 3 | "vibrated" | | 4 | "maw" | | 5 | "depths" | | 6 | "flickered" | | 7 | "oppressive" | | 8 | "silence" | | 9 | "clandestine" | | 10 | "velvet" | | 11 | "dancing" | | 12 | "cacophony" | | 13 | "weight" | | 14 | "familiar" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "The air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 72 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 72 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 75 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1177 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 91.81% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 1117 | | uniqueNames | 14 | | maxNameDensity | 1.16 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 13 | | Metropolitan | 1 | | Police | 1 | | Victorian | 1 | | Morris | 2 | | Met | 1 | | Tube | 1 | | Camden | 1 | | Veil | 2 | | Market | 2 | | Saint | 1 | | Christopher | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Police" | | 3 | "Morris" | | 4 | "Met" | | 5 | "Market" | | 6 | "Saint" | | 7 | "Christopher" |
| | places | | | globalScore | 0.918 | | windowScore | 1 | |
| 30.95% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 3 | | matches | | 0 | "sounded like a thousand voices speaking in" | | 1 | "daggers that seemed to drink the light from Quinn’s torch" | | 2 | "felt like solid oak" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1177 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 75 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 53.5 | | std | 29.6 | | cv | 0.553 | | sampleLengths | | 0 | 90 | | 1 | 84 | | 2 | 42 | | 3 | 8 | | 4 | 95 | | 5 | 80 | | 6 | 88 | | 7 | 11 | | 8 | 66 | | 9 | 40 | | 10 | 11 | | 11 | 92 | | 12 | 68 | | 13 | 79 | | 14 | 16 | | 15 | 61 | | 16 | 18 | | 17 | 16 | | 18 | 66 | | 19 | 51 | | 20 | 64 | | 21 | 31 |
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| 80.90% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 72 | | matches | | 0 | "was plastered" | | 1 | "was locked" | | 2 | "was shaped" | | 3 | "were cracked" | | 4 | "were filled" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 168 | | matches | | 0 | "was hunting" | | 1 | "was polishing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 4 | | flaggedSentences | 8 | | totalSentences | 75 | | ratio | 0.107 | | matches | | 0 | "The rain didn’t just fall in Soho; it hammered, turning the narrow alleys into slick, oil-streaked rivers." | | 1 | "Her focus was locked on the silhouette twenty yards ahead—a lean man in a charcoal overcoat who moved with a fluid, unnatural grace that defied the cluttered geometry of the city." | | 2 | "She glanced down at the worn leather watch on her left wrist; it was nearly midnight." | | 3 | "There was no click of a lock, no grinding of gears—only a low, harmonic hum that vibrated in Quinn’s teeth." | | 4 | "She had seen the way the shadows had moved against the wind; she had heard the whispers that sounded like a thousand voices speaking in a dead language." | | 5 | "The people here—if they were people—moved with a predatory stillness." | | 6 | "It wasn't the look of curiosity; it was the look of a wolf watching a stray dog wander into the woods." | | 7 | "The mystery of the clique, the answers about Morris, the culmination of three years of obsession—it was all right there, just beyond that curtain." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1126 | | adjectiveStacks | 1 | | stackExamples | | 0 | "slick, oil-streaked rivers." |
| | adverbCount | 33 | | adverbRatio | 0.02930728241563055 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.011545293072824156 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 75 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 75 | | mean | 15.69 | | std | 7.82 | | cv | 0.498 | | sampleLengths | | 0 | 17 | | 1 | 18 | | 2 | 24 | | 3 | 31 | | 4 | 9 | | 5 | 16 | | 6 | 26 | | 7 | 12 | | 8 | 21 | | 9 | 17 | | 10 | 3 | | 11 | 22 | | 12 | 8 | | 13 | 4 | | 14 | 5 | | 15 | 25 | | 16 | 22 | | 17 | 20 | | 18 | 19 | | 19 | 14 | | 20 | 20 | | 21 | 6 | | 22 | 21 | | 23 | 19 | | 24 | 6 | | 25 | 32 | | 26 | 28 | | 27 | 22 | | 28 | 11 | | 29 | 13 | | 30 | 25 | | 31 | 6 | | 32 | 22 | | 33 | 5 | | 34 | 21 | | 35 | 14 | | 36 | 3 | | 37 | 8 | | 38 | 5 | | 39 | 9 | | 40 | 23 | | 41 | 7 | | 42 | 23 | | 43 | 25 | | 44 | 25 | | 45 | 10 | | 46 | 12 | | 47 | 21 | | 48 | 19 | | 49 | 23 |
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| 38.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.32 | | totalSentences | 75 | | uniqueOpeners | 24 | |
| 46.30% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 72 | | matches | | 0 | "Instead, he skidded to a" |
| | ratio | 0.014 | |
| 70.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 72 | | matches | | 0 | "Her closely cropped salt-and-pepper hair" | | 1 | "Her focus was locked on" | | 2 | "She glanced down at the" | | 3 | "She lunged after him, her" | | 4 | "she yelled, her voice rasping" | | 5 | "He didn't even look back." | | 6 | "She hovered over the opening," | | 7 | "She looked back toward the" | | 8 | "She had seen the way" | | 9 | "She gripped the edge of" | | 10 | "She clicked on her tactical" | | 11 | "Her light swept across a" | | 12 | "It was a riot of" | | 13 | "She saw a woman with" | | 14 | "They paused as she entered," | | 15 | "It wasn't the look of" | | 16 | "She spotted her suspect near" | | 17 | "He didn't run this time." | | 18 | "He simply stepped backward into" | | 19 | "She spun, her elbow connecting" |
| | ratio | 0.375 | |
| 57.22% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 72 | | matches | | 0 | "The rain didn’t just fall" | | 1 | "Detective Harlow Quinn sprinted through" | | 2 | "Her closely cropped salt-and-pepper hair" | | 3 | "Her focus was locked on" | | 4 | "Quinn’s lungs burned, the cold" | | 5 | "She glanced down at the" | | 6 | "The clique didn't operate in" | | 7 | "The suspect banked hard left," | | 8 | "Quinn didn't hesitate." | | 9 | "She lunged after him, her" | | 10 | "she yelled, her voice rasping" | | 11 | "The man didn't stop." | | 12 | "He didn't even look back." | | 13 | "The grate slid aside with" | | 14 | "Quinn reached the edge of" | | 15 | "She hovered over the opening," | | 16 | "She looked back toward the" | | 17 | "The neon signs of the" | | 18 | "She had seen the way" | | 19 | "The Met had shut her" |
| | ratio | 0.806 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 72 | | matches | | 0 | "To any other officer, this" | | 1 | "To turn back was to" | | 2 | "To go forward was to" |
| | ratio | 0.042 | |
| 42.86% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 7 | | matches | | 0 | "Her focus was locked on the silhouette twenty yards ahead—a lean man in a charcoal overcoat who moved with a fluid, unnatural grace that defied the cluttered ge…" | | 1 | "She hovered over the opening, her chest heaving, the scent of ozone and ancient dust wafting up from the depths." | | 2 | "As she dropped deeper, the sounds of the city faded, replaced by a heavy, oppressive silence that felt physical, like water pressing against her eardrums." | | 3 | "She saw a woman with skin the color of moonlight selling vials of shimmering, viscous liquid that smelled of sulfur and crushed violets." | | 4 | "Beside her, a man with too many fingers was polishing a set of jagged obsidian daggers that seemed to drink the light from Quinn’s torch." | | 5 | "The air was thick with a cacophony of low murmurs and the occasional screech of something that sounded far too large to be a rodent." | | 6 | "The man who had grabbed her was tall, with olive skin and short, curly dark brown hair." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 2 | | matches | | 0 | "she yelled, her voice rasping" | | 1 | "the man whispered, his voice a low, rhythmic cadence" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "she yelled (yell)" | | 1 | "the man whispered (whisper)" |
| | dialogueSentences | 6 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 1 | | effectiveRatio | 0.667 | |