| 13.95% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 4 | | adverbTags | | 0 | "Her eyes darted around [around]" | | 1 | "she said finally [finally]" | | 2 | "He stopped abruptly [abruptly]" | | 3 | "His eyes softened just [just]" |
| | dialogueSentences | 43 | | tagDensity | 0.442 | | leniency | 0.884 | | rawRatio | 0.211 | | effectiveRatio | 0.186 | |
| 95.38% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1082 | | 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) | |
| 30.68% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1082 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "echoing" | | 1 | "scanning" | | 2 | "flickered" | | 3 | "familiar" | | 4 | "scanned" | | 5 | "stomach" | | 6 | "unreadable" | | 7 | "charged" | | 8 | "footsteps" | | 9 | "echoed" | | 10 | "racing" |
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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 | 100 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 100 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 124 | | 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 | 0 | | markdownWords | 0 | | totalWords | 1079 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 804 | | uniqueNames | 10 | | maxNameDensity | 1.24 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 10 | | Soho | 1 | | Morris | 2 | | Veil | 1 | | Market | 3 | | Camden | 1 | | Spanish | 1 | | Christopher | 1 | | Tube | 1 | | Herrera | 5 |
| | persons | | 0 | "Quinn" | | 1 | "Morris" | | 2 | "Market" | | 3 | "Christopher" | | 4 | "Tube" | | 5 | "Herrera" |
| | places | | | globalScore | 0.878 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like stepping off a cliff" |
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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 | 1079 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 124 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 25.09 | | std | 14 | | cv | 0.558 | | sampleLengths | | 0 | 50 | | 1 | 10 | | 2 | 47 | | 3 | 52 | | 4 | 16 | | 5 | 33 | | 6 | 44 | | 7 | 42 | | 8 | 64 | | 9 | 43 | | 10 | 47 | | 11 | 23 | | 12 | 14 | | 13 | 17 | | 14 | 7 | | 15 | 31 | | 16 | 27 | | 17 | 20 | | 18 | 11 | | 19 | 18 | | 20 | 22 | | 21 | 21 | | 22 | 22 | | 23 | 13 | | 24 | 15 | | 25 | 30 | | 26 | 12 | | 27 | 23 | | 28 | 4 | | 29 | 13 | | 30 | 19 | | 31 | 27 | | 32 | 16 | | 33 | 30 | | 34 | 22 | | 35 | 9 | | 36 | 32 | | 37 | 26 | | 38 | 10 | | 39 | 40 | | 40 | 33 | | 41 | 7 | | 42 | 17 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 100 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 158 | | matches | (empty) | |
| 96.77% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 124 | | ratio | 0.016 | | matches | | 0 | "The air smelled of mildew and something sharper—metallic, almost medicinal." | | 1 | "She’d heard whispers of it—a black market for the supernatural, buried beneath Camden." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 754 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.03580901856763926 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.013262599469496022 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 124 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 124 | | mean | 8.7 | | std | 4.63 | | cv | 0.532 | | sampleLengths | | 0 | 13 | | 1 | 17 | | 2 | 20 | | 3 | 10 | | 4 | 19 | | 5 | 15 | | 6 | 5 | | 7 | 8 | | 8 | 7 | | 9 | 14 | | 10 | 9 | | 11 | 5 | | 12 | 6 | | 13 | 11 | | 14 | 7 | | 15 | 9 | | 16 | 2 | | 17 | 8 | | 18 | 9 | | 19 | 1 | | 20 | 8 | | 21 | 5 | | 22 | 11 | | 23 | 14 | | 24 | 9 | | 25 | 10 | | 26 | 2 | | 27 | 6 | | 28 | 5 | | 29 | 17 | | 30 | 4 | | 31 | 5 | | 32 | 3 | | 33 | 8 | | 34 | 15 | | 35 | 3 | | 36 | 13 | | 37 | 11 | | 38 | 14 | | 39 | 22 | | 40 | 3 | | 41 | 3 | | 42 | 15 | | 43 | 10 | | 44 | 14 | | 45 | 12 | | 46 | 4 | | 47 | 7 | | 48 | 13 | | 49 | 10 |
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| 85.48% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.532258064516129 | | totalSentences | 124 | | uniqueOpeners | 66 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 93 | | matches | | 0 | "Almost like he’d expected her" | | 1 | "Too many exits." | | 2 | "Too many unknowns." |
| | ratio | 0.032 | |
| 47.96% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 93 | | matches | | 0 | "Her voice carried authority, sharp" | | 1 | "She’d chased worse than this." | | 2 | "She slowed, scanning for movement." | | 3 | "She moved closer, her hand" | | 4 | "she called, her voice low" | | 5 | "She stepped forward, her torchlight" | | 6 | "I can work with that." | | 7 | "She crouched, pulling a set" | | 8 | "It also meant no rules." | | 9 | "Her mind flickered back to" | | 10 | "She shook it off." | | 11 | "She descended the stairs, her" | | 12 | "She’d heard whispers of it—a" | | 13 | "Her stomach twisted." | | 14 | "She spotted her suspect near" | | 15 | "His hood was down now," | | 16 | "He glanced over his shoulder," | | 17 | "he called, his voice smooth" | | 18 | "she replied, matching his tone" | | 19 | "He smirked, leaning casually against" |
| | ratio | 0.43 | |
| 19.14% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 82 | | totalSentences | 93 | | matches | | 0 | "The suspect’s shoe splashed in" | | 1 | "Harlow Quinn adjusted her grip" | | 2 | "The neon lights of Soho" | | 3 | "Her voice carried authority, sharp" | | 4 | "The figure ahead didn’t break" | | 5 | "Quinn’s breath came steady despite" | | 6 | "She’d chased worse than this." | | 7 | "The suspect ducked into a" | | 8 | "Quinn followed, her worn leather" | | 9 | "The alley smelled of damp" | | 10 | "She slowed, scanning for movement." | | 11 | "A shadow flickered near a" | | 12 | "She moved closer, her hand" | | 13 | "she called, her voice low" | | 14 | "She stepped forward, her torchlight" | | 15 | "A wet footprint trailed towards" | | 16 | "I can work with that." | | 17 | "She crouched, pulling a set" | | 18 | "The familiar click of a" | | 19 | "The door creaked open, revealing" |
| | ratio | 0.882 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 93 | | matches | | 0 | "Though, admittedly, not many who" | | 1 | "Before she could respond, a" |
| | ratio | 0.022 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 2 | | matches | | 0 | "The figure ahead didn’t break stride, weaving through alleyways with the ease of someone who knew the streets intimately." | | 1 | "Quinn scanned the crowd, her torchlight catching snippets of merchandise: vials of glowing liquid, carved bone tokens, tattered maps marked with runes." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 6 | | matches | | 0 | "she called, her voice low" | | 1 | "he said, his voice low and urgent" | | 2 | "He stopped abruptly, turning to face her" | | 3 | "Quinn turned, her baton snapping to full extension" | | 4 | "Quinn asked, her voice tight" | | 5 | "He glanced, his expression grim" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 43 | | tagDensity | 0.233 | | leniency | 0.465 | | rawRatio | 0.1 | | effectiveRatio | 0.047 | |