| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "Eva said quietly [quietly]" |
| | dialogueSentences | 45 | | tagDensity | 0.267 | | leniency | 0.533 | | rawRatio | 0.083 | | effectiveRatio | 0.044 | |
| 90.06% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1509 | | 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) | |
| 53.61% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1509 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "pumping" | | 1 | "etched" | | 2 | "pawn" | | 3 | "magnetic" | | 4 | "footsteps" | | 5 | "echoed" | | 6 | "traced" | | 7 | "constructed" | | 8 | "perfect" | | 9 | "weight" | | 10 | "unwavering" | | 11 | "warmth" |
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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 | 97 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 97 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 129 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1506 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 867 | | uniqueNames | 8 | | maxNameDensity | 1.61 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Eva" | | discoveredNames | | Quinn | 14 | | Victorian | 1 | | Sergeant | 1 | | Barnes | 9 | | Soho | 1 | | Eva | 11 | | Derek | 1 | | Ashford | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Sergeant" | | 2 | "Barnes" | | 3 | "Eva" | | 4 | "Derek" | | 5 | "Ashford" |
| | places | | | globalScore | 0.693 | | windowScore | 0.5 | |
| 70.63% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like he’d simply lain down and cea" | | 1 | "looked like old script" |
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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 | 1506 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 129 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 31.38 | | std | 19.5 | | cv | 0.622 | | sampleLengths | | 0 | 68 | | 1 | 43 | | 2 | 57 | | 3 | 13 | | 4 | 30 | | 5 | 32 | | 6 | 3 | | 7 | 33 | | 8 | 68 | | 9 | 8 | | 10 | 21 | | 11 | 31 | | 12 | 8 | | 13 | 58 | | 14 | 5 | | 15 | 30 | | 16 | 37 | | 17 | 27 | | 18 | 7 | | 19 | 40 | | 20 | 3 | | 21 | 62 | | 22 | 13 | | 23 | 61 | | 24 | 35 | | 25 | 8 | | 26 | 14 | | 27 | 7 | | 28 | 72 | | 29 | 43 | | 30 | 34 | | 31 | 57 | | 32 | 61 | | 33 | 22 | | 34 | 36 | | 35 | 39 | | 36 | 32 | | 37 | 35 | | 38 | 24 | | 39 | 42 | | 40 | 15 | | 41 | 14 | | 42 | 27 | | 43 | 47 | | 44 | 6 | | 45 | 11 | | 46 | 46 | | 47 | 21 |
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| 98.03% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 97 | | matches | | 0 | "was clipped" | | 1 | "been moved" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 158 | | matches | | |
| 98.56% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 129 | | ratio | 0.016 | | matches | | 0 | "No signs of violence, but there—a tiny puncture mark just behind his right ear, invisible unless you parted his hair." | | 1 | "Not a ghost, not a spirit—but a very human hand guided by very human knowledge." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 871 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.03788748564867968 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.013777267508610792 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 129 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 129 | | mean | 11.67 | | std | 8.34 | | cv | 0.715 | | sampleLengths | | 0 | 12 | | 1 | 19 | | 2 | 19 | | 3 | 18 | | 4 | 14 | | 5 | 15 | | 6 | 3 | | 7 | 2 | | 8 | 9 | | 9 | 14 | | 10 | 23 | | 11 | 20 | | 12 | 13 | | 13 | 30 | | 14 | 5 | | 15 | 14 | | 16 | 4 | | 17 | 9 | | 18 | 3 | | 19 | 15 | | 20 | 18 | | 21 | 10 | | 22 | 12 | | 23 | 11 | | 24 | 15 | | 25 | 10 | | 26 | 5 | | 27 | 5 | | 28 | 8 | | 29 | 4 | | 30 | 17 | | 31 | 4 | | 32 | 27 | | 33 | 2 | | 34 | 6 | | 35 | 11 | | 36 | 15 | | 37 | 21 | | 38 | 11 | | 39 | 2 | | 40 | 3 | | 41 | 13 | | 42 | 8 | | 43 | 9 | | 44 | 6 | | 45 | 19 | | 46 | 12 | | 47 | 7 | | 48 | 20 | | 49 | 5 |
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| 53.75% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.34108527131782945 | | totalSentences | 129 | | uniqueOpeners | 44 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 92 | | matches | | 0 | "Just the stillness of death" | | 1 | "Then she rocked back on" | | 2 | "Just a perfect, tiny hole," |
| | ratio | 0.033 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 92 | | matches | | 0 | "He was a young man," | | 1 | "She studied the man’s face." | | 2 | "He looked like he’d simply" | | 3 | "She knelt again and ran" | | 4 | "They were smooth, not chipped." | | 5 | "He joined her, squinting." | | 6 | "She pulled a small brass" | | 7 | "She’d picked it up six" | | 8 | "It pointed with the authority" | | 9 | "She carried a worn leather" | | 10 | "Her voice was clipped, professional" | | 11 | "Her green eyes narrowed." | | 12 | "She traced the arcane pattern" | | 13 | "She stood, brushed off her" | | 14 | "She pulled a small UV" | | 15 | "She’d never seen anything like" | | 16 | "She nodded slowly." | | 17 | "She held it near the" | | 18 | "She tapped her own sternum" | | 19 | "She walked the circle again," |
| | ratio | 0.293 | |
| 63.26% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 92 | | matches | | 0 | "The air in the old" | | 1 | "Harlow Quinn ducked under the" | | 2 | "The main chamber opened up" | | 3 | "A body lay in the" | | 4 | "The man wore an expensive" | | 5 | "Detective Sergeant Barnes straightened from" | | 6 | "He was a young man," | | 7 | "Quinn crouched, keeping her hands" | | 8 | "She studied the man’s face." | | 9 | "He looked like he’d simply" | | 10 | "Barnes consulted his notebook" | | 11 | "Quinn stood and walked a" | | 12 | "The floor was marked with" | | 13 | "She knelt again and ran" | | 14 | "They were smooth, not chipped." | | 15 | "He joined her, squinting." | | 16 | "Quinn shook her head." | | 17 | "She pulled a small brass" | | 18 | "The casing was tarnished green," | | 19 | "She’d picked it up six" |
| | ratio | 0.793 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 92 | | matches | (empty) | | ratio | 0 | |
| 61.22% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 4 | | matches | | 0 | "Harlow Quinn ducked under the police tape, her boots crunching on broken glass that glittered under the portable floodlights." | | 1 | "Mid-forties, clean-shaven, skin waxy with the particular pallor of death that came without violence." | | 2 | "The casing was tarnished green, the face etched with symbols that looked like old script." | | 3 | "Eva crouched, her fingers hovering over the grooves without touching." |
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| 83.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 1 | | matches | | 0 | "She held, and the needle spun again, then locked" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 45 | | tagDensity | 0.022 | | leniency | 0.044 | | rawRatio | 0 | | effectiveRatio | 0 | |