| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said suddenly [suddenly]" |
| | dialogueSentences | 40 | | tagDensity | 0.475 | | leniency | 0.95 | | rawRatio | 0.053 | | effectiveRatio | 0.05 | |
| 79.59% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1225 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "carefully" | | 1 | "slightly" | | 2 | "suddenly" | | 3 | "utterly" |
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| 80.00% | 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) | |
| 59.18% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1225 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "echoed" | | 1 | "perfect" | | 2 | "etched" | | 3 | "intricate" | | 4 | "depths" | | 5 | "trembled" | | 6 | "chill" | | 7 | "profound" | | 8 | "racing" | | 9 | "quivered" |
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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 | 86 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 86 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 108 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 56 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 5 | | totalWords | 1220 | | ratio | 0.004 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 95.05% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 819 | | uniqueNames | 12 | | maxNameDensity | 1.1 | | worstName | "Patel" | | maxWindowNameDensity | 2 | | worstWindowName | "Harlow" | | discoveredNames | | Camden | 1 | | Town | 1 | | Tube | 1 | | Harlow | 8 | | Quinn | 1 | | Inspector | 1 | | Raj | 1 | | Patel | 9 | | Rolex | 1 | | Vance | 4 | | Alexander | 1 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raj" | | 3 | "Patel" | | 4 | "Vance" | | 5 | "Alexander" | | 6 | "Morris" |
| | places | | | globalScore | 0.951 | | windowScore | 1 | |
| 68.03% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like a central information booth," | | 1 | "liquids that seemed to shift color independently of the light" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.459 | | wordCount | 1220 | | matches | | 0 | "not fear, but profound, utter confusion" | | 1 | "not initials, but a sequence: *XVII - IX - MCMXC*" | | 2 | "not directly at the body, but at the body’s right hand" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 108 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 38.13 | | std | 30 | | cv | 0.787 | | sampleLengths | | 0 | 102 | | 1 | 12 | | 2 | 5 | | 3 | 57 | | 4 | 1 | | 5 | 50 | | 6 | 19 | | 7 | 55 | | 8 | 16 | | 9 | 65 | | 10 | 70 | | 11 | 1 | | 12 | 58 | | 13 | 40 | | 14 | 56 | | 15 | 9 | | 16 | 96 | | 17 | 8 | | 18 | 8 | | 19 | 7 | | 20 | 103 | | 21 | 9 | | 22 | 24 | | 23 | 28 | | 24 | 45 | | 25 | 54 | | 26 | 47 | | 27 | 1 | | 28 | 47 | | 29 | 12 | | 30 | 73 | | 31 | 42 |
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| 84.86% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 86 | | matches | | 0 | "were draped" | | 1 | "was pushed" | | 2 | "been placed" | | 3 | "was gone" | | 4 | "been broken" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 135 | | matches | | 0 | "wasn’t pointing" | | 1 | "was pointing" |
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| 10.58% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 108 | | ratio | 0.046 | | matches | | 0 | "They were draped in dark cloth, some overturned, their contents—oddly shaped bottles, bundles of feathers, tarnished metal instruments—scattered across the ground." | | 1 | "She noted the positioning of the limbs, the lack of lividity on the back—he hadn’t been dead long." | | 2 | "The empty alley three years ago, the way the shadows had seemed to congeal, the look on his face—not fear, but profound, utter confusion—before he was gone." | | 3 | "On the back, engraved in tiny, precise letters, were not initials, but a sequence: *XVII - IX - MCMXC*." | | 4 | "The compass needle now quivered, pointing not directly at the body, but at the body’s right hand—at the watch." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 377 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 5 | | adverbRatio | 0.013262599469496022 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.002652519893899204 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 108 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 108 | | mean | 11.3 | | std | 8.51 | | cv | 0.754 | | sampleLengths | | 0 | 15 | | 1 | 28 | | 2 | 6 | | 3 | 17 | | 4 | 21 | | 5 | 15 | | 6 | 9 | | 7 | 3 | | 8 | 5 | | 9 | 17 | | 10 | 12 | | 11 | 13 | | 12 | 3 | | 13 | 7 | | 14 | 5 | | 15 | 1 | | 16 | 14 | | 17 | 8 | | 18 | 28 | | 19 | 9 | | 20 | 10 | | 21 | 21 | | 22 | 34 | | 23 | 13 | | 24 | 3 | | 25 | 16 | | 26 | 16 | | 27 | 12 | | 28 | 21 | | 29 | 14 | | 30 | 18 | | 31 | 4 | | 32 | 2 | | 33 | 3 | | 34 | 10 | | 35 | 5 | | 36 | 5 | | 37 | 2 | | 38 | 7 | | 39 | 1 | | 40 | 54 | | 41 | 4 | | 42 | 8 | | 43 | 32 | | 44 | 5 | | 45 | 8 | | 46 | 20 | | 47 | 8 | | 48 | 15 | | 49 | 9 |
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| 58.95% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.39814814814814814 | | totalSentences | 108 | | uniqueOpeners | 43 | |
| 40.65% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 82 | | matches | | 0 | "Just a perfect, unsettling stillness." |
| | ratio | 0.012 | |
| 83.41% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 82 | | matches | | 0 | "They were draped in dark" | | 1 | "He was on his back," | | 2 | "His suit was impeccable, his" | | 3 | "She noted the positioning of" | | 4 | "She checked his hands." | | 5 | "His left sleeve was pushed" | | 6 | "She pointed to the right" | | 7 | "She walked a slow circle" | | 8 | "She moved to the information" | | 9 | "It spun in a slow," | | 10 | "It was cold, colder than" | | 11 | "She turned, and the needle" | | 12 | "She thought of Morris, her" | | 13 | "She’d called it unfinished." | | 14 | "she said, her voice flat" | | 15 | "It had locked onto the" | | 16 | "She said nothing, taking the" | | 17 | "He gestured at the strange" | | 18 | "Her own history with the" | | 19 | "she said suddenly" |
| | ratio | 0.341 | |
| 45.37% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 82 | | matches | | 0 | "The air in the abandoned" | | 1 | "Detective Harlow Quinn’s boots echoed" | | 2 | "The scene was a jarring" | | 3 | "They were draped in dark" | | 4 | "The whole place hummed with" | | 5 | "A uniformed officer lifted the" | | 6 | "The body lay near what" | | 7 | "A man, late forties, dressed" | | 8 | "He was on his back," | | 9 | "Detective Inspector Raj Patel emerged" | | 10 | "His suit was impeccable, his" | | 11 | "Harlow’s gaze swept the platform" | | 12 | "Patel handed her a pair" | | 13 | "Harlow pulled on the gloves," | | 14 | "Patel led her to the" | | 15 | "A stack of leather-bound books" | | 16 | "Harlow crouched by the body" | | 17 | "She noted the positioning of" | | 18 | "She checked his hands." | | 19 | "His left sleeve was pushed" |
| | ratio | 0.829 | |
| 60.98% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 82 | | matches | | 0 | "As if he’d been placed" |
| | ratio | 0.012 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 2 | | matches | | 0 | "The whole place hummed with a low, sub-audible frequency that made her back teeth ache." | | 1 | "The casing was green with age, etched with intricate, swirling patterns that made her eyes water if she looked too long." |
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| 72.37% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, her voice flat" | | 1 | "Harlow stood, her mind racing" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 40 | | tagDensity | 0.075 | | leniency | 0.15 | | rawRatio | 0 | | effectiveRatio | 0 | |