| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 5 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 984 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 64.43% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 984 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "pulse" | | 1 | "calculating" | | 2 | "flickered" | | 3 | "etched" | | 4 | "trembled" | | 5 | "stomach" | | 6 | "lurched" |
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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 | 110 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 110 | | filterMatches | (empty) | | hedgeMatches | | 0 | "happened to" | | 1 | "started to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 114 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 9 | | markdownWords | 9 | | totalWords | 973 | | ratio | 0.009 | | matches | | 0 | "token" | | 1 | "jumped" | | 2 | "click" | | 3 | "shifted" | | 4 | "feel" | | 5 | "recognized" | | 6 | "supernatural" | | 7 | "logic" | | 8 | "possible" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 76.16% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 948 | | uniqueNames | 8 | | maxNameDensity | 1.48 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 14 | | London | 2 | | Morris | 2 | | Veil | 1 | | Market | 1 | | Things | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" |
| | places | | | globalScore | 0.762 | | windowScore | 0.833 | |
| 69.35% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like a crack in the buildings" | | 1 | "looked like bone" |
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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 | 973 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 114 | | matches | | 0 | "seen that move" | | 1 | "thrown that token" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 23.73 | | std | 20.67 | | cv | 0.871 | | sampleLengths | | 0 | 58 | | 1 | 72 | | 2 | 4 | | 3 | 48 | | 4 | 3 | | 5 | 62 | | 6 | 2 | | 7 | 42 | | 8 | 17 | | 9 | 17 | | 10 | 43 | | 11 | 6 | | 12 | 42 | | 13 | 5 | | 14 | 52 | | 15 | 15 | | 16 | 44 | | 17 | 4 | | 18 | 5 | | 19 | 2 | | 20 | 18 | | 21 | 2 | | 22 | 5 | | 23 | 42 | | 24 | 21 | | 25 | 51 | | 26 | 3 | | 27 | 37 | | 28 | 2 | | 29 | 19 | | 30 | 4 | | 31 | 6 | | 32 | 39 | | 33 | 21 | | 34 | 52 | | 35 | 2 | | 36 | 50 | | 37 | 19 | | 38 | 12 | | 39 | 10 | | 40 | 15 |
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| 95.69% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 110 | | matches | | 0 | "was connected" | | 1 | "was connected" | | 2 | "being cocked" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 171 | | matches | | 0 | "was letting" | | 1 | "was breathing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 114 | | ratio | 0.061 | | matches | | 0 | "The suspect—lean, wiry, moving like a rat with a firecracker up its arse—ducked around a corner, his dark jacket blending into the shadows." | | 1 | "He stopped because he’d reached a dead end—a rusted fire escape bolted to the wall, its ladder dangling just out of reach." | | 2 | "The kid—couldn’t have been more than twenty—knew exactly who she was." | | 3 | "She’d seen that move before—the telltale shift of a hand going for a weapon." | | 4 | "Quinn didn’t take her eyes off him, but her gaze flickered down just long enough to see the strange symbol etched into its surface—a crescent moon cradling a serpent." | | 5 | "She could *feel* it—the pull of the darkness below, the way the air had gone thick and heavy, like the moment before a storm breaks." | | 6 | "This wasn’t the London she knew—the one with rules, with procedures, with *logic*." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 959 | | adjectiveStacks | 1 | | stackExamples | | 0 | "suspect—lean, wiry, moving like" |
| | adverbCount | 30 | | adverbRatio | 0.03128258602711158 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.004171011470281543 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 114 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 114 | | mean | 8.54 | | std | 6.51 | | cv | 0.762 | | sampleLengths | | 0 | 18 | | 1 | 17 | | 2 | 23 | | 3 | 14 | | 4 | 34 | | 5 | 24 | | 6 | 2 | | 7 | 2 | | 8 | 12 | | 9 | 14 | | 10 | 7 | | 11 | 15 | | 12 | 3 | | 13 | 5 | | 14 | 7 | | 15 | 22 | | 16 | 13 | | 17 | 1 | | 18 | 2 | | 19 | 12 | | 20 | 2 | | 21 | 3 | | 22 | 4 | | 23 | 11 | | 24 | 5 | | 25 | 8 | | 26 | 4 | | 27 | 7 | | 28 | 14 | | 29 | 3 | | 30 | 7 | | 31 | 10 | | 32 | 3 | | 33 | 14 | | 34 | 14 | | 35 | 4 | | 36 | 1 | | 37 | 1 | | 38 | 6 | | 39 | 6 | | 40 | 13 | | 41 | 29 | | 42 | 5 | | 43 | 4 | | 44 | 16 | | 45 | 13 | | 46 | 19 | | 47 | 5 | | 48 | 10 | | 49 | 6 |
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| 42.40% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.3333333333333333 | | totalSentences | 114 | | uniqueOpeners | 38 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 94 | | matches | | 0 | "Then he stopped." | | 1 | "Instead, he turned and *jumped*," | | 2 | "Then she heard it." |
| | ratio | 0.032 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 94 | | matches | | 0 | "She rounded the corner just" | | 1 | "He moved fast, but Quinn" | | 2 | "She’d spent too many nights" | | 3 | "He stopped because he’d reached" | | 4 | "His eyes darted, calculating, before" | | 5 | "She didn’t need to." | | 6 | "She took a step forward," | | 7 | "He reached into his jacket" | | 8 | "She’d seen that move before—the" | | 9 | "He pulled a *token*." | | 10 | "He tossed it at her" | | 11 | "It clattered against the wet" | | 12 | "He hauled himself up with" | | 13 | "She cursed under her breath." | | 14 | "It groaned but held." | | 15 | "She hauled herself up, her" | | 16 | "She climbed faster, her boots" | | 17 | "She tightened her grip on" | | 18 | "She didn’t need to." | | 19 | "She could *feel* it—the pull" |
| | ratio | 0.287 | |
| 82.34% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 94 | | matches | | 0 | "The rain hammered down like" | | 1 | "Detective Harlow Quinn’s boots splashed" | | 2 | "The suspect—lean, wiry, moving like" | | 3 | "Quinn’s breath came sharp and" | | 4 | "She rounded the corner just" | | 5 | "The alley stank of damp" | | 6 | "A flickering streetlamp cast jagged" | | 7 | "He moved fast, but Quinn" | | 8 | "She’d spent too many nights" | | 9 | "He stopped because he’d reached" | | 10 | "The suspect turned, his face" | | 11 | "His eyes darted, calculating, before" | | 12 | "Quinn didn’t answer." | | 13 | "She didn’t need to." | | 14 | "The kid—couldn’t have been more" | | 15 | "That meant he was connected." | | 16 | "Things about the clique." | | 17 | "Things about what had happened" | | 18 | "She took a step forward," | | 19 | "The kid laughed, a sharp," |
| | ratio | 0.755 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 94 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 2 | | matches | | 0 | "The beam cut through the darkness, illuminating a narrow shaft that dropped straight down." | | 1 | "Something that had left her standing in an empty morgue three years ago, staring at a body that shouldn’t have been *possible*." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |