| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 79.84% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 744 | | totalAiIsmAdverbs | 3 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 744 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "flicker" | | 1 | "familiar" | | 2 | "comforting" | | 3 | "treacherous" | | 4 | "echoing" | | 5 | "churned" | | 6 | "clandestine" | | 7 | "electric" | | 8 | "scanning" | | 9 | "cacophony" | | 10 | "beacon" | | 11 | "tapestry" | | 12 | "pulsed" |
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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 | 61 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 61 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 61 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 4 | | totalWords | 743 | | ratio | 0.005 | | matches | | 0 | "pursue" | | 1 | "after" | | 2 | "bone token" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 723 | | uniqueNames | 8 | | maxNameDensity | 0.69 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 2 | | Victorian | 1 | | Camden | 1 | | Tube | 1 | | Veil | 2 | | Market | 2 | | London | 1 | | Quinn | 5 |
| | persons | | | places | | 0 | "Victorian" | | 1 | "Camden" | | 2 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 50.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a deliberate portal" | | 1 | "looked like an abandoned Tube station str" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 2.692 | | wordCount | 743 | | matches | | 0 | "not into another alley, but down something far steeper" | | 1 | "not a myth spun by conspiracy theorists in forgotten pubs, but real, alive" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 61 | | matches | (empty) | |
| 85.24% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 12 | | mean | 61.92 | | std | 27.76 | | cv | 0.448 | | sampleLengths | | 0 | 70 | | 1 | 49 | | 2 | 88 | | 3 | 54 | | 4 | 26 | | 5 | 50 | | 6 | 65 | | 7 | 80 | | 8 | 57 | | 9 | 128 | | 10 | 60 | | 11 | 16 |
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| 99.51% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 61 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 117 | | matches | | 0 | "was already dissolving" |
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| 96.02% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 61 | | ratio | 0.016 | | matches | | 0 | "Water seeped from the stone walls, smelling of mildew and something else—something metallic, like old blood, or rust." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 189 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 5 | | adverbRatio | 0.026455026455026454 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 61 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 61 | | mean | 12.18 | | std | 6.15 | | cv | 0.505 | | sampleLengths | | 0 | 8 | | 1 | 13 | | 2 | 11 | | 3 | 11 | | 4 | 27 | | 5 | 22 | | 6 | 14 | | 7 | 13 | | 8 | 13 | | 9 | 14 | | 10 | 13 | | 11 | 10 | | 12 | 12 | | 13 | 7 | | 14 | 19 | | 15 | 24 | | 16 | 14 | | 17 | 2 | | 18 | 14 | | 19 | 16 | | 20 | 2 | | 21 | 5 | | 22 | 3 | | 23 | 7 | | 24 | 16 | | 25 | 21 | | 26 | 6 | | 27 | 14 | | 28 | 22 | | 29 | 9 | | 30 | 20 | | 31 | 14 | | 32 | 16 | | 33 | 20 | | 34 | 18 | | 35 | 6 | | 36 | 6 | | 37 | 9 | | 38 | 10 | | 39 | 12 | | 40 | 17 | | 41 | 9 | | 42 | 13 | | 43 | 23 | | 44 | 11 | | 45 | 5 | | 46 | 2 | | 47 | 8 | | 48 | 14 | | 49 | 18 |
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| 67.21% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4426229508196721 | | totalSentences | 61 | | uniqueOpeners | 27 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 57 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 57 | | matches | | 0 | "Her breath hitched in her" | | 1 | "She rounded a refuse bin," | | 2 | "She heard the faint scrape" | | 3 | "Her gut churned with a" | | 4 | "Her quarry would not stop." | | 5 | "They never did." | | 6 | "She followed, her gaze sweeping" | | 7 | "It was the sort of" | | 8 | "She plunged down, the air" | | 9 | "She was in a vast," | | 10 | "Their movements were too fluid," | | 11 | "She watched an exchange, a" | | 12 | "She swallowed, the taste of" | | 13 | "Her hand tightened on the" |
| | ratio | 0.246 | |
| 12.63% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 57 | | matches | | 0 | "Rain lashed against Harlow’s face," | | 1 | "Her breath hitched in her" | | 2 | "The silhouette ahead, a flicker" | | 3 | "Pavement slicked with grime offered" | | 4 | "Every pound of her stride" | | 5 | "She rounded a refuse bin," | | 6 | "The figure darted down a" | | 7 | "Quinn didn't hesitate, her instincts" | | 8 | "The alley floor was uneven," | | 9 | "She heard the faint scrape" | | 10 | "A stray cat, startled by" | | 11 | "Harlow ignored it, her gaze" | | 12 | "This wasn't some street thug," | | 13 | "Her gut churned with a" | | 14 | "The alley opened onto a" | | 15 | "The suspect, a hunched figure" | | 16 | "Quinn's voice was hoarse, swallowed" | | 17 | "Her quarry would not stop." | | 18 | "They never did." | | 19 | "She followed, her gaze sweeping" |
| | ratio | 0.895 | |
| 87.72% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 57 | | matches | | 0 | "Before her, what looked like" |
| | ratio | 0.018 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 2 | | matches | | 0 | "Quinn closed the distance, her hand hovering near her holstered weapon, though she knew reaching for it would cost precious seconds." | | 1 | "Quinn paused, panting, her eyes adjusting, scanning the immediate area." |
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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 | |