| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 41 | | tagDensity | 0.415 | | leniency | 0.829 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 72.81% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1471 | | totalAiIsmAdverbs | 8 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | adverb | "deliberately" | | count | 1 |
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| | highlights | | 0 | "slightly" | | 1 | "carefully" | | 2 | "slowly" | | 3 | "lazily" | | 4 | "deliberately" |
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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) | |
| 66.01% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1471 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "pristine" | | 1 | "restrained" | | 2 | "familiar" | | 3 | "echoed" | | 4 | "warmth" | | 5 | "etched" | | 6 | "measured" | | 7 | "stark" | | 8 | "whisper" | | 9 | "could feel" |
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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 | 104 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 104 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 127 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 49 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1463 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 65.89% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 1070 | | uniqueNames | 11 | | maxNameDensity | 1.68 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Harlow | 1 | | Quinn | 18 | | Camden | 1 | | Saunders | 4 | | Kowalski | 1 | | Eva | 13 | | Hammersmith | 1 | | Three | 1 | | Abbott | 1 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Saunders" | | 3 | "Kowalski" | | 4 | "Eva" | | 5 | "Morris" |
| | places | (empty) | | globalScore | 0.659 | | windowScore | 0.667 | |
| 83.33% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 75 | | glossingSentenceCount | 2 | | matches | | 0 | "sigils that seemed to shift under the forensic lights, though she knew that had to be a trick of the illumination" | | 1 | "as if searching for something it couldn't find" |
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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 | 1463 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 127 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 30.48 | | std | 21.79 | | cv | 0.715 | | sampleLengths | | 0 | 78 | | 1 | 53 | | 2 | 9 | | 3 | 23 | | 4 | 56 | | 5 | 27 | | 6 | 66 | | 7 | 37 | | 8 | 15 | | 9 | 48 | | 10 | 16 | | 11 | 46 | | 12 | 31 | | 13 | 63 | | 14 | 5 | | 15 | 5 | | 16 | 16 | | 17 | 38 | | 18 | 55 | | 19 | 3 | | 20 | 34 | | 21 | 28 | | 22 | 57 | | 23 | 33 | | 24 | 8 | | 25 | 70 | | 26 | 4 | | 27 | 21 | | 28 | 70 | | 29 | 60 | | 30 | 21 | | 31 | 32 | | 32 | 5 | | 33 | 46 | | 34 | 34 | | 35 | 5 | | 36 | 7 | | 37 | 11 | | 38 | 25 | | 39 | 49 | | 40 | 3 | | 41 | 6 | | 42 | 12 | | 43 | 16 | | 44 | 43 | | 45 | 6 | | 46 | 55 | | 47 | 12 |
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| 85.02% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 104 | | matches | | 0 | "been closed" | | 1 | "was crumbled" | | 2 | "been restrained" | | 3 | "was etched" | | 4 | "been told" | | 5 | "were cracked" |
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| 40.32% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 167 | | matches | | 0 | "wasn't pointing" | | 1 | "was still processing" | | 2 | "was waiting" | | 3 | "was advancing" |
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| 30.37% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 127 | | ratio | 0.039 | | matches | | 0 | "The wound was clean—too clean." | | 1 | "\"Since someone at the Met decided this one warranted 'specialist consultation.'\" Eva tucked a strand of hair behind her left ear—a nervous habit Quinn had observed years ago, back when they'd crossed paths during the Hammersmith case." | | 2 | "A watch on his wrist—expensive, Quinn noted, but not flashy." | | 3 | "The casing was etched with symbols she didn't recognize—sigils that seemed to shift under the forensic lights, though she knew that had to be a trick of the illumination." | | 4 | "Not light exactly—more like the absence of darkness, a gray smear against the black." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1080 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.03148148148148148 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.011111111111111112 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 127 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 127 | | mean | 11.52 | | std | 7.85 | | cv | 0.682 | | sampleLengths | | 0 | 10 | | 1 | 22 | | 2 | 16 | | 3 | 24 | | 4 | 6 | | 5 | 10 | | 6 | 12 | | 7 | 10 | | 8 | 21 | | 9 | 9 | | 10 | 10 | | 11 | 13 | | 12 | 7 | | 13 | 7 | | 14 | 25 | | 15 | 8 | | 16 | 6 | | 17 | 3 | | 18 | 15 | | 19 | 12 | | 20 | 16 | | 21 | 5 | | 22 | 6 | | 23 | 15 | | 24 | 6 | | 25 | 18 | | 26 | 8 | | 27 | 3 | | 28 | 11 | | 29 | 4 | | 30 | 11 | | 31 | 8 | | 32 | 7 | | 33 | 4 | | 34 | 24 | | 35 | 20 | | 36 | 6 | | 37 | 10 | | 38 | 37 | | 39 | 9 | | 40 | 6 | | 41 | 2 | | 42 | 3 | | 43 | 10 | | 44 | 10 | | 45 | 16 | | 46 | 11 | | 47 | 10 | | 48 | 7 | | 49 | 19 |
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| 57.74% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3937007874015748 | | totalSentences | 127 | | uniqueOpeners | 50 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 95 | | matches | | 0 | "Instead, the concrete around him" | | 1 | "Instead, it felt held, as" | | 2 | "Then, slowly, a faint luminescence" | | 3 | "Just tracks and darkness and" |
| | ratio | 0.042 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 95 | | matches | | 0 | "Her sharp jaw tightened as" | | 1 | "She'd spotted it from ten" | | 2 | "She'd seen throat cuttings before," | | 3 | "Her brown eyes tracked across" | | 4 | "He hadn't fought back." | | 5 | "She straightened and turned." | | 6 | "Her worn leather satchel bounced" | | 7 | "He had the look of" | | 8 | "She hadn't noticed it before," | | 9 | "She pulled on gloves and" | | 10 | "It spun slowly, lazily, as" | | 11 | "She'd caught this case this" | | 12 | "She walked the perimeter of" | | 13 | "she called to Eva" | | 14 | "They fell toward the light" | | 15 | "She stepped to the platform" | | 16 | "It moved, slowly, breathing." | | 17 | "She could feel the compass" | | 18 | "She thought of her partner," |
| | ratio | 0.2 | |
| 96.84% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 95 | | matches | | 0 | "The abandoned Tube station smelled" | | 1 | "Detective Harlow Quinn ducked beneath" | | 2 | "The station had been closed" | | 3 | "Her sharp jaw tightened as" | | 4 | "The platform edge was crumbled" | | 5 | "PC Saunders approached with his" | | 6 | "She'd spotted it from ten" | | 7 | "The man lay sprawled on" | | 8 | "Saunders flipped a page" | | 9 | "Quinn crouched beside the body," | | 10 | "The wound was clean—too clean." | | 11 | "A single deep incision that" | | 12 | "She'd seen throat cuttings before," | | 13 | "Her brown eyes tracked across" | | 14 | "He hadn't fought back." | | 15 | "A familiar voice echoed through" | | 16 | "She straightened and turned." | | 17 | "Eva Kowalski picked her way" | | 18 | "Her worn leather satchel bounced" | | 19 | "Quinn's voice carried no warmth" |
| | ratio | 0.726 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 95 | | matches | | 0 | "Now it was a crime" | | 1 | "Either he'd been restrained, unconscious," |
| | ratio | 0.021 | |
| 65.22% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 5 | | matches | | 0 | "The man lay sprawled on the platform in a gray suit, his throat opened in a wound that should have painted the white tiles red." | | 1 | "A single deep incision that had opened the carotid artery and jugular in one pass." | | 2 | "He had the look of someone who'd been healthy, well-fed, well-dressed." | | 3 | "The casing was etched with symbols she didn't recognize—sigils that seemed to shift under the forensic lights, though she knew that had to be a trick of the ill…" | | 4 | "She thought of her partner, DS Morris, dead three years now under circumstances no one could explain, circumstances that had left no evidence and no answers." |
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| 95.59% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 1 | | matches | | 0 | "Eva said, her voice barely a whisper" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 41 | | tagDensity | 0.195 | | leniency | 0.39 | | rawRatio | 0.125 | | effectiveRatio | 0.049 | |