| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.067 | | leniency | 0.133 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.43% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 898 | | totalAiIsmAdverbs | 1 | | 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) | |
| 61.02% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 898 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "fractured" | | 1 | "flickered" | | 2 | "warmth" | | 3 | "scanning" | | 4 | "weight" | | 5 | "pulse" | | 6 | "flicked" |
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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 | 89 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 89 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 103 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 22 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 3 | | totalWords | 886 | | ratio | 0.003 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 810 | | uniqueNames | 7 | | maxNameDensity | 1.6 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | London | 1 | | Harlow | 1 | | Quinn | 13 | | Raven | 1 | | Tube | 1 | | Veil | 1 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Market" |
| | places | | | globalScore | 0.698 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 1 | | matches | | 0 | "coat that seemed to drink in the dim glow" |
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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 | 886 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 103 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 25.31 | | std | 18.07 | | cv | 0.714 | | sampleLengths | | 0 | 55 | | 1 | 57 | | 2 | 49 | | 3 | 19 | | 4 | 51 | | 5 | 8 | | 6 | 23 | | 7 | 53 | | 8 | 55 | | 9 | 5 | | 10 | 54 | | 11 | 46 | | 12 | 3 | | 13 | 48 | | 14 | 28 | | 15 | 38 | | 16 | 9 | | 17 | 10 | | 18 | 12 | | 19 | 28 | | 20 | 13 | | 21 | 2 | | 22 | 35 | | 23 | 11 | | 24 | 17 | | 25 | 4 | | 26 | 9 | | 27 | 18 | | 28 | 21 | | 29 | 6 | | 30 | 10 | | 31 | 36 | | 32 | 17 | | 33 | 13 | | 34 | 23 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 89 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 144 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 103 | | ratio | 0.078 | | matches | | 0 | "Her fingers twitched near her sidearm, but she kept it holstered—for now." | | 1 | "One of them—a leather-bound volume with no title—gave under her touch." | | 2 | "She checked her watch—worn leather, the face scratched but still ticking." | | 3 | "The tunnel opened into a cavernous space—an abandoned Tube station, its tiles cracked and peeling." | | 4 | "She’d heard whispers of this place—black-market deals, things that didn’t belong in the world of men." | | 5 | "Then, ahead—a door, half-rotted wood hanging off its hinges." | | 6 | "The air smelled wrong—too still, too thick." | | 7 | "She raised her gun—but the figure was already moving, faster than should’ve been possible." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 822 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.024330900243309004 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0024330900243309003 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 103 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 103 | | mean | 8.6 | | std | 4.79 | | cv | 0.557 | | sampleLengths | | 0 | 14 | | 1 | 11 | | 2 | 15 | | 3 | 15 | | 4 | 3 | | 5 | 12 | | 6 | 22 | | 7 | 7 | | 8 | 13 | | 9 | 9 | | 10 | 12 | | 11 | 8 | | 12 | 9 | | 13 | 6 | | 14 | 5 | | 15 | 16 | | 16 | 3 | | 17 | 3 | | 18 | 10 | | 19 | 6 | | 20 | 14 | | 21 | 11 | | 22 | 7 | | 23 | 8 | | 24 | 5 | | 25 | 11 | | 26 | 2 | | 27 | 2 | | 28 | 3 | | 29 | 13 | | 30 | 15 | | 31 | 17 | | 32 | 8 | | 33 | 10 | | 34 | 15 | | 35 | 15 | | 36 | 15 | | 37 | 5 | | 38 | 4 | | 39 | 16 | | 40 | 19 | | 41 | 15 | | 42 | 3 | | 43 | 16 | | 44 | 14 | | 45 | 13 | | 46 | 3 | | 47 | 8 | | 48 | 19 | | 49 | 13 |
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| 42.23% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.23300970873786409 | | totalSentences | 103 | | uniqueOpeners | 24 | |
| 79.37% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 84 | | matches | | 0 | "Then, ahead—a door, half-rotted wood" | | 1 | "Instead, his gaze darted past" |
| | ratio | 0.024 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 84 | | matches | | 0 | "She didn’t slow." | | 1 | "Her fingers twitched near her" | | 2 | "She yanked it open, the" | | 3 | "She didn’t answer." | | 4 | "Her gaze locked onto a" | | 5 | "It looked too deliberate, too" | | 6 | "She crossed the room in" | | 7 | "She checked her watch—worn leather," | | 8 | "She stepped through." | | 9 | "She moved forward, her boots" | | 10 | "She’d heard whispers of this" | | 11 | "Her suspect stood near a" | | 12 | "She didn’t hesitate." | | 13 | "She followed, the beads clattering" | | 14 | "She kicked it open." | | 15 | "His eyes flicked to the" | | 16 | "She stepped closer, her hand" | | 17 | "He didn’t answer." | | 18 | "His face was all sharp" | | 19 | "Her breath caught." |
| | ratio | 0.298 | |
| 7.62% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 76 | | totalSentences | 84 | | matches | | 0 | "The rain came down in" | | 1 | "Neon signs bled into puddles," | | 2 | "Detective Harlow Quinn’s boots splashed" | | 3 | "The suspect had cut down" | | 4 | "She didn’t slow." | | 5 | "Her fingers twitched near her" | | 6 | "The alley spat her out" | | 7 | "*The Raven’s Nest.* She knew" | | 8 | "A dive bar with a" | | 9 | "The door swung shut just" | | 10 | "She yanked it open, the" | | 11 | "The air smelled of whiskey" | | 12 | "Quinn ignored them, scanning the" | | 13 | "A man behind the bar" | | 14 | "She didn’t answer." | | 15 | "Her gaze locked onto a" | | 16 | "It looked too deliberate, too" | | 17 | "She crossed the room in" | | 18 | "The bookshelf swung inward with" | | 19 | "Quinn exhaled through her nose." |
| | ratio | 0.905 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 84 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 1 | | matches | | 0 | "She’d heard whispers of this place—black-market deals, things that didn’t belong in the world of men." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn said, her voice steady" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.067 | | leniency | 0.133 | | rawRatio | 0 | | effectiveRatio | 0 | |