| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.1 | | leniency | 0.2 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.17% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 845 | | 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) | |
| 34.91% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 845 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "glistening" | | 1 | "flickered" | | 2 | "pulse" | | 3 | "footsteps" | | 4 | "echoed" | | 5 | "flicker" | | 6 | "silence" | | 7 | "flicked" | | 8 | "gloom" | | 9 | "whisper" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 88 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 88 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 97 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 7 | | totalWords | 837 | | ratio | 0.008 | | matches | | 0 | "The Raven’s Nest" | | 1 | "Camden Tube Station (Disused)" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 48.48% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 788 | | uniqueNames | 10 | | maxNameDensity | 2.03 | | worstName | "Herrera" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Herrera" | | discoveredNames | | London | 1 | | Raven | 1 | | Herrera | 16 | | Tube | 1 | | Station | 1 | | Veil | 1 | | Market | 1 | | Saint | 1 | | Christopher | 1 | | Quinn | 14 |
| | persons | | 0 | "Raven" | | 1 | "Herrera" | | 2 | "Market" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Quinn" |
| | places | | | globalScore | 0.485 | | windowScore | 0.5 | |
| 60.71% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like bones" | | 1 | "as if sensing her presence" |
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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 | 837 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 97 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 23.91 | | std | 16.49 | | cv | 0.689 | | sampleLengths | | 0 | 52 | | 1 | 4 | | 2 | 35 | | 3 | 38 | | 4 | 11 | | 5 | 38 | | 6 | 44 | | 7 | 4 | | 8 | 41 | | 9 | 35 | | 10 | 1 | | 11 | 32 | | 12 | 37 | | 13 | 28 | | 14 | 39 | | 15 | 7 | | 16 | 51 | | 17 | 10 | | 18 | 63 | | 19 | 5 | | 20 | 40 | | 21 | 8 | | 22 | 25 | | 23 | 5 | | 24 | 26 | | 25 | 25 | | 26 | 10 | | 27 | 6 | | 28 | 15 | | 29 | 21 | | 30 | 28 | | 31 | 20 | | 32 | 7 | | 33 | 25 | | 34 | 1 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 88 | | matches | | |
| 44.96% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 129 | | matches | | 0 | "wasn’t losing" | | 1 | "was gaining" | | 2 | "was walking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 97 | | ratio | 0.062 | | matches | | 0 | "The neon glow of a pub sign—*The Raven’s Nest*—flickered in the distance, its green light bleeding into the wet pavement." | | 1 | "The taxi’s brake lights flared red, illuminating Herrera’s face for a split second—wide eyes, clenched jaw—before he vanished into another side street." | | 2 | "A rusted sign creaked overhead—*Camden Tube Station (Disused)*." | | 3 | "The air smelled of damp concrete and something sharper—copper, maybe, or ozone." | | 4 | "The cloak’s hands moved in quick, precise gestures, pressing something into Herrera’s palm—a small, white object." | | 5 | "The cloak’s fabric shifted, revealing nothing beneath—just darkness, swallowing the light." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 796 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.03391959798994975 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.005025125628140704 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 97 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 97 | | mean | 8.63 | | std | 5.57 | | cv | 0.646 | | sampleLengths | | 0 | 15 | | 1 | 17 | | 2 | 20 | | 3 | 4 | | 4 | 17 | | 5 | 2 | | 6 | 2 | | 7 | 14 | | 8 | 14 | | 9 | 24 | | 10 | 5 | | 11 | 4 | | 12 | 2 | | 13 | 15 | | 14 | 11 | | 15 | 10 | | 16 | 2 | | 17 | 14 | | 18 | 8 | | 19 | 22 | | 20 | 4 | | 21 | 14 | | 22 | 16 | | 23 | 6 | | 24 | 5 | | 25 | 4 | | 26 | 11 | | 27 | 20 | | 28 | 1 | | 29 | 8 | | 30 | 8 | | 31 | 16 | | 32 | 5 | | 33 | 4 | | 34 | 6 | | 35 | 15 | | 36 | 7 | | 37 | 9 | | 38 | 12 | | 39 | 5 | | 40 | 2 | | 41 | 6 | | 42 | 10 | | 43 | 6 | | 44 | 5 | | 45 | 12 | | 46 | 7 | | 47 | 5 | | 48 | 11 | | 49 | 19 |
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| 43.81% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.29896907216494845 | | totalSentences | 97 | | uniqueOpeners | 29 | |
| 82.30% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 81 | | matches | | 0 | "Then Herrera exhaled, his breath" | | 1 | "Even the air felt heavier." |
| | ratio | 0.025 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 81 | | matches | | 0 | "She didn’t slow down." | | 1 | "He vaulted over a stack" | | 2 | "She wasn’t losing him." | | 3 | "She wasn’t close enough." | | 4 | "He knew she was gaining." | | 5 | "She skidded to a stop," | | 6 | "She knew this place." | | 7 | "She stepped forward, her boot" | | 8 | "Her fingers tightened around the" | | 9 | "She was walking into something" | | 10 | "She took a step forward." | | 11 | "He didn’t look back, but" | | 12 | "She took another step, her" | | 13 | "His Saint Christopher medallion glinted" | | 14 | "His scar stood out pale" | | 15 | "She didn’t have to." |
| | ratio | 0.198 | |
| 15.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 72 | | totalSentences | 81 | | matches | | 0 | "The rain came down in" | | 1 | "Quinn’s boots splashed through puddles" | | 2 | "The neon glow of a" | | 3 | "She didn’t slow down." | | 4 | "The one who’d been at" | | 5 | "Quinn’s voice cut through the" | | 6 | "He vaulted over a stack" | | 7 | "Quinn cursed under her breath." | | 8 | "She wasn’t losing him." | | 9 | "The alley opened into a" | | 10 | "Herrera was already halfway across," | | 11 | "Quinn’s fingers twitched near her" | | 12 | "A car horn blared as" | | 13 | "Quinn followed, her pulse hammering" | | 14 | "The taxi’s brake lights flared" | | 15 | "She wasn’t close enough." | | 16 | "The side street twisted into" | | 17 | "The rain drummed against the" | | 18 | "Herrera’s footsteps echoed ahead, faster" | | 19 | "He knew she was gaining." |
| | ratio | 0.889 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 81 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 1 | | matches | | 0 | "She skidded to a stop, pressing herself against the damp brick, her hand resting on the grip of her baton." |
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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 | |