| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 16 | | tagDensity | 0.438 | | leniency | 0.875 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.29% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1491 | | 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) | |
| 69.82% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1491 | | totalAiIsms | 9 | | found | | 0 | | word | "practiced ease" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | |
| | highlights | | 0 | "practiced ease" | | 1 | "pulse" | | 2 | "flicker" | | 3 | "silence" | | 4 | "could feel" | | 5 | "roaring" | | 6 | "weight" | | 7 | "chill" | | 8 | "silk" |
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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 | 0 | | narrationSentences | 96 | | matches | (empty) | |
| 98.21% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 96 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 105 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 59 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 10 | | totalWords | 1501 | | ratio | 0.007 | | matches | | 0 | "If anything happens, Harlow, don't follow it down." | | 1 | "we" | | 2 | "home" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 92.98% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 1403 | | uniqueNames | 19 | | maxNameDensity | 1.14 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 16 | | Dean | 1 | | Street | 1 | | Soho | 3 | | Met | 1 | | Morris | 6 | | Bermondsey | 2 | | Tuesday | 1 | | Raven | 2 | | Nest | 3 | | Camden | 1 | | Shaftesbury | 1 | | Avenue | 1 | | Hackney | 1 | | Charing | 1 | | Cross | 1 | | Road | 1 | | London | 1 | | Harlow | 2 |
| | persons | | 0 | "Quinn" | | 1 | "Morris" | | 2 | "Raven" | | 3 | "Harlow" |
| | places | | 0 | "Dean" | | 1 | "Street" | | 2 | "Soho" | | 3 | "Bermondsey" | | 4 | "Shaftesbury" | | 5 | "Avenue" | | 6 | "Hackney" | | 7 | "Charing" | | 8 | "Cross" | | 9 | "Road" | | 10 | "London" |
| | globalScore | 0.93 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1501 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 105 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 37.53 | | std | 36.64 | | cv | 0.976 | | sampleLengths | | 0 | 5 | | 1 | 113 | | 2 | 5 | | 3 | 82 | | 4 | 6 | | 5 | 113 | | 6 | 5 | | 7 | 153 | | 8 | 8 | | 9 | 78 | | 10 | 80 | | 11 | 25 | | 12 | 6 | | 13 | 65 | | 14 | 7 | | 15 | 10 | | 16 | 57 | | 17 | 3 | | 18 | 36 | | 19 | 18 | | 20 | 2 | | 21 | 74 | | 22 | 59 | | 23 | 25 | | 24 | 5 | | 25 | 22 | | 26 | 2 | | 27 | 68 | | 28 | 62 | | 29 | 4 | | 30 | 62 | | 31 | 52 | | 32 | 22 | | 33 | 6 | | 34 | 32 | | 35 | 13 | | 36 | 41 | | 37 | 55 | | 38 | 14 | | 39 | 6 |
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| 86.99% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 96 | | matches | | 0 | "been caught" | | 1 | "were solved" | | 2 | "were gone" | | 3 | "been unlocked" | | 4 | "being reopened" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 7 | | totalVerbs | 230 | | matches | | 0 | "was still ticking" | | 1 | "was going" | | 2 | "was giving" | | 3 | "was wearing" | | 4 | "was beginning" | | 5 | "was already preparing" | | 6 | "was offering" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 105 | | ratio | 0.095 | | matches | | 0 | "The man ahead of her moved fast — too fast for someone who'd just been caught elbow-deep in a dead man's wallet three blocks back." | | 1 | "At five-nine, with her salt-and-pepper hair cropped close and her jaw set into a line that could cut glass, she cut a figure that most people dismissed on instinct — a middle-aged detective in a damp coat, the kind you forgot the moment she passed." | | 2 | "She'd clocked the body twenty minutes ago — a man in his fifties, face down behind the green neon flicker of a Soho dive she knew only by reputation." | | 3 | "Quinn had been watching the Nest for three weeks, ever since a tip had come across her desk about a clique operating out of the back room — a back room hidden behind a bookshelf, according to the informant, though she'd never been able to confirm it." | | 4 | "She lost him for a heartbeat, maybe two, then spotted the dark shape of him again — moving north, always north, with the unerring instinct of a man who knew exactly where he was going." | | 5 | "Quinn pulled up ten feet behind him, hand on the grip of her service weapon, and for a long moment they simply stood there — two figures in a curtain of rain, the city roaring somewhere above them and forgotten down here." | | 6 | "Below them, the stairwell exhaled a breath of stale air that smelled of copper and old stone and something else — something that didn't belong to any street in London Quinn had ever walked." | | 7 | "\"You heard me.\" He reached into his pocket and produced something small and pale — a sliver of bone, no longer than a finger, carved with symbols Quinn didn't recognize." | | 8 | "She thought about the dead courier in Soho, and the back room behind the bookshelf at the Raven's Nest, and the clique her informant had whispered about — a network of people operating in the cracks of the city, dealing in things that couldn't be weighed or inventoried or entered into evidence." | | 9 | "She knew that now the way you know the rain is cold — not because someone told you, but because you'd finally stopped pretending it wasn't." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 873 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.0286368843069874 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.004581901489117984 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 105 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 105 | | mean | 14.3 | | std | 12.8 | | cv | 0.895 | | sampleLengths | | 0 | 5 | | 1 | 30 | | 2 | 25 | | 3 | 58 | | 4 | 5 | | 5 | 14 | | 6 | 17 | | 7 | 45 | | 8 | 3 | | 9 | 3 | | 10 | 4 | | 11 | 2 | | 12 | 21 | | 13 | 21 | | 14 | 24 | | 15 | 6 | | 16 | 5 | | 17 | 5 | | 18 | 31 | | 19 | 5 | | 20 | 29 | | 21 | 3 | | 22 | 24 | | 23 | 47 | | 24 | 12 | | 25 | 38 | | 26 | 4 | | 27 | 4 | | 28 | 22 | | 29 | 35 | | 30 | 8 | | 31 | 7 | | 32 | 6 | | 33 | 29 | | 34 | 3 | | 35 | 44 | | 36 | 4 | | 37 | 5 | | 38 | 8 | | 39 | 12 | | 40 | 6 | | 41 | 23 | | 42 | 42 | | 43 | 7 | | 44 | 4 | | 45 | 3 | | 46 | 3 | | 47 | 3 | | 48 | 25 | | 49 | 29 |
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| 35.87% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 19 | | diversityRatio | 0.3238095238095238 | | totalSentences | 105 | | uniqueOpeners | 34 | |
| 74.91% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 89 | | matches | | 0 | "Of course it was the" | | 1 | "Then she stepped forward, past" |
| | ratio | 0.022 | |
| 71.69% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 89 | | matches | | 0 | "She'd watched him peel away" | | 1 | "He wasn't going to disappear." | | 2 | "She was not the kind" | | 3 | "Her leather watch caught the" | | 4 | "She'd clocked the body twenty" | | 5 | "He cut through an alley" | | 6 | "She lost him for a" | | 7 | "She matched his pace, weaving" | | 8 | "Her lungs burned." | | 9 | "She didn't slow down." | | 10 | "He knew her name." | | 11 | "She watched his silhouette, the" | | 12 | "He was giving her a" | | 13 | "He laughed, a short, humorless" | | 14 | "Her watch ticked against her" | | 15 | "She'd worn it through every" | | 16 | "She thought of the warehouse" | | 17 | "She thought of the way" | | 18 | "She'd spent three years assuming" | | 19 | "He reached into his pocket" |
| | ratio | 0.371 | |
| 21.80% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 78 | | totalSentences | 89 | | matches | | 0 | "The rain had teeth tonight." | | 1 | "Harlow Quinn felt them bite" | | 2 | "The man ahead of her" | | 3 | "She'd watched him peel away" | | 4 | "He wasn't going to disappear." | | 5 | "Quinn had not survived eighteen" | | 6 | "She was not the kind" | | 7 | "That was useful." | | 8 | "That was alive." | | 9 | "The suspect ducked left." | | 10 | "Her leather watch caught the" | | 11 | "The strap was old, given" | | 12 | "DS Morris had worn it" | | 13 | "The coroner had called it" | | 14 | "The file was still open." | | 15 | "The watch was still ticking." | | 16 | "Quinn had made a habit" | | 17 | "Tonight's case had that smell." | | 18 | "She'd clocked the body twenty" | | 19 | "The Raven's Nest." |
| | ratio | 0.876 | |
| 56.18% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 89 | | matches | | 0 | "Now, standing at the lip" |
| | ratio | 0.011 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 9 | | matches | | 0 | "The man ahead of her moved fast — too fast for someone who'd just been caught elbow-deep in a dead man's wallet three blocks back." | | 1 | "She'd watched him peel away from the crime scene in Soho with the practiced ease of a man who'd done it before, and something in the set of his shoulders had to…" | | 2 | "At five-nine, with her salt-and-pepper hair cropped close and her jaw set into a line that could cut glass, she cut a figure that most people dismissed on insti…" | | 3 | "She lost him for a heartbeat, maybe two, then spotted the dark shape of him again — moving north, always north, with the unerring instinct of a man who knew exa…" | | 4 | "She matched his pace, weaving through a knot of tourists huddled under a bus shelter, ignoring the curse from a man whose umbrella she'd clipped on the way past…" | | 5 | "The suspect stopped at the top of a stairwell that descended into nothing but black air and the faint hum of electricity below." | | 6 | "Below them, the stairwell exhaled a breath of stale air that smelled of copper and old stone and something else — something that didn't belong to any street in …" | | 7 | "Now, standing at the lip of a stairwell that smelled of nothing she could name, she was beginning to suspect he'd meant something else entirely." | | 8 | "She thought about the dead courier in Soho, and the back room behind the bookshelf at the Raven's Nest, and the clique her informant had whispered about — a net…" |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 1 | | matches | | 0 | "He said, the way a man says *home*" |
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| 87.50% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | 0 | "Quinn repeated (repeat)" |
| | dialogueSentences | 16 | | tagDensity | 0.313 | | leniency | 0.625 | | rawRatio | 0.2 | | effectiveRatio | 0.125 | |