| 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 | 686 | | 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) | |
| 19.83% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 686 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "fleeting" | | 1 | "dance" | | 2 | "stark" | | 3 | "footsteps" | | 4 | "echoed" | | 5 | "velvet" | | 6 | "pulsed" | | 7 | "unreadable" | | 8 | "depths" | | 9 | "tension" | | 10 | "palpable" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 43 | | matches | (empty) | |
| 76.41% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 43 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 45 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 684 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 48.91% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 643 | | uniqueNames | 11 | | maxNameDensity | 2.02 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | London | 1 | | Harlow | 1 | | Quinn | 13 | | Soho | 1 | | Underground | 1 | | Veil | 2 | | Market | 2 | | Tomás | 1 | | Herrera | 4 | | Saint | 1 | | Christopher | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Market" | | 3 | "Tomás" | | 4 | "Herrera" | | 5 | "Saint" | | 6 | "Christopher" |
| | places | | | globalScore | 0.489 | | windowScore | 0.667 | |
| 84.21% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 38 | | glossingSentenceCount | 1 | | matches | | 0 | "skin that seemed to shift in the lamplight" |
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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 | 684 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 45 | | matches | (empty) | |
| 69.45% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 10 | | mean | 68.4 | | std | 26.89 | | cv | 0.393 | | sampleLengths | | 0 | 88 | | 1 | 105 | | 2 | 83 | | 3 | 96 | | 4 | 66 | | 5 | 21 | | 6 | 74 | | 7 | 27 | | 8 | 77 | | 9 | 47 |
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| 97.10% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 43 | | matches | | |
| 65.32% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 99 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 45 | | ratio | 0.111 | | matches | | 0 | "He wasn’t running; he was fleeing, his movements a frantic dance of evasion." | | 1 | "The air here was stale, smelling of old wood and something else – something sharp and faintly chemical." | | 2 | "The smell was overwhelming: ozone, damp stone, and something else – something sweet and cloying, like rotting fruit." | | 3 | "He held out a hand, palm up, revealing a small, polished bone – a token, Quinn realized, the entry requirement for this place." | | 4 | "She knew the risks – the supernatural origins of her partner’s death, the whispers of forces she didn’t understand." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 645 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 9 | | adverbRatio | 0.013953488372093023 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.006201550387596899 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 45 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 45 | | mean | 15.2 | | std | 7.37 | | cv | 0.485 | | sampleLengths | | 0 | 27 | | 1 | 30 | | 2 | 31 | | 3 | 17 | | 4 | 13 | | 5 | 13 | | 6 | 17 | | 7 | 25 | | 8 | 20 | | 9 | 12 | | 10 | 2 | | 11 | 12 | | 12 | 18 | | 13 | 12 | | 14 | 7 | | 15 | 11 | | 16 | 9 | | 17 | 5 | | 18 | 3 | | 19 | 3 | | 20 | 13 | | 21 | 18 | | 22 | 26 | | 23 | 13 | | 24 | 15 | | 25 | 6 | | 26 | 14 | | 27 | 23 | | 28 | 23 | | 29 | 11 | | 30 | 10 | | 31 | 5 | | 32 | 29 | | 33 | 21 | | 34 | 19 | | 35 | 8 | | 36 | 19 | | 37 | 11 | | 38 | 12 | | 39 | 19 | | 40 | 18 | | 41 | 17 | | 42 | 19 | | 43 | 21 | | 44 | 7 |
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| 62.96% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.4444444444444444 | | totalSentences | 45 | | uniqueOpeners | 20 | |
| 79.37% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 42 | | matches | | 0 | "Instead, a figure emerged from" |
| | ratio | 0.024 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 8 | | totalSentences | 42 | | matches | | 0 | "Her sharp jawline was set" | | 1 | "He wasn’t running; he was" | | 2 | "She could smell the damp" | | 3 | "She pushed the door open," | | 4 | "It was Tomás Herrera, his" | | 5 | "He held out a hand," | | 6 | "It was a den of" | | 7 | "She knew the risks –" |
| | ratio | 0.19 | |
| 31.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 36 | | totalSentences | 42 | | matches | | 0 | "The rain lashed thepavement like" | | 1 | "Detective Harlow Quinn’s worn leather" | | 2 | "Her sharp jawline was set" | | 3 | "The suspect, a man Quinn" | | 4 | "He wasn’t running; he was" | | 5 | "Quinn matched his pace, her" | | 6 | "She could smell the damp" | | 7 | "The alley opened into a" | | 8 | "The man darted towards a" | | 9 | "Quinn barked, her voice cutting" | | 10 | "She pushed the door open," | | 11 | "The air here was stale," | | 12 | "The suspect’s footsteps echoed ahead," | | 13 | "Quinn followed, her senses on" | | 14 | "The stairs were steep, the" | | 15 | "The Veil Market." | | 16 | "Quinn’s breath hitched." | | 17 | "The air hummed with a" | | 18 | "The smell was overwhelming: ozone," | | 19 | "The space was vast, a" |
| | ratio | 0.857 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 42 | | matches | (empty) | | ratio | 0 | |
| 95.24% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 2 | | matches | | 0 | "Her sharp jawline was set in a line of grim determination, eyes narrowed against the downpour, tracking the fleeting shadow that had just vanished around the co…" | | 1 | "Stalls overflowed with strange wares: vials of shimmering liquid that pulsed with inner light, amulets carved from obsidian, books bound in skin that seemed to …" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn barked, her voice cutting through the rain’s roar" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 5 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 1 | | effectiveRatio | 0.4 | |