| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 1 | | adverbTags | | 0 | "Tomás said bitterly [bitterly]" |
| | dialogueSentences | 15 | | tagDensity | 0.733 | | leniency | 1 | | rawRatio | 0.091 | | effectiveRatio | 0.091 | |
| 91.19% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1135 | | totalAiIsmAdverbs | 2 | | 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) | |
| 3.08% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1135 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "amidst" | | 1 | "pulse" | | 2 | "quickened" | | 3 | "familiar" | | 4 | "weight" | | 5 | "comforting" | | 6 | "echoed" | | 7 | "echoes" | | 8 | "determined" | | 9 | "cacophony" | | 10 | "scanning" | | 11 | "variables" | | 12 | "resolve" | | 13 | "whisper" | | 14 | "churned" | | 15 | "silence" | | 16 | "glinting" | | 17 | "charged" |
| |
| 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 | 93 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 93 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "happened to" |
| |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 97 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1126 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 49.23% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 60 | | wordCount | 1042 | | uniqueNames | 12 | | maxNameDensity | 2.02 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | London | 2 | | Harlow | 4 | | Quinn | 21 | | Soho | 1 | | Tomás | 18 | | Herrera | 1 | | Saint | 1 | | Christopher | 1 | | Morris | 5 | | Veil | 2 | | Market | 2 | | Detective | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Tomás" | | 3 | "Herrera" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Morris" | | 7 | "Market" |
| | places | | | globalScore | 0.492 | | windowScore | 0.667 | |
| 88.27% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 81 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a war against the storm" | | 1 | "as if sensing the storm that was Harlow Quinn" |
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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 | 1126 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 97 | | matches | (empty) | |
| 60.50% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 35.19 | | std | 12.73 | | cv | 0.362 | | sampleLengths | | 0 | 50 | | 1 | 42 | | 2 | 45 | | 3 | 32 | | 4 | 53 | | 5 | 41 | | 6 | 52 | | 7 | 32 | | 8 | 48 | | 9 | 45 | | 10 | 42 | | 11 | 24 | | 12 | 6 | | 13 | 44 | | 14 | 53 | | 15 | 38 | | 16 | 51 | | 17 | 27 | | 18 | 20 | | 19 | 12 | | 20 | 32 | | 21 | 39 | | 22 | 47 | | 23 | 20 | | 24 | 42 | | 25 | 37 | | 26 | 31 | | 27 | 18 | | 28 | 17 | | 29 | 19 | | 30 | 29 | | 31 | 38 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 93 | | matches | | |
| 63.95% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 196 | | matches | | 0 | "was threading" | | 1 | "was nearing" | | 2 | "wasn’t looking" | | 3 | "wasn’t messing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 1 | | flaggedSentences | 6 | | totalSentences | 97 | | ratio | 0.062 | | matches | | 0 | "Quinn felt the weight of her revolver under her coat—comforting, albeit slightly damp." | | 1 | "Her jaw tightened; she couldn’t afford to let fear stop her." | | 2 | "The descent ended in a cavernous, dimly lit space—the Veil Market." | | 3 | "Her chase was against more than just Tomás—it was against time itself." | | 4 | "The corridor behind the concealed door beckoned—an unknown, dangerous territory." | | 5 | "It smelled of old paper and something else—something ancient and alive." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1051 | | adjectiveStacks | 1 | | stackExamples | | 0 | "under weak fluorescent lights," |
| | adverbCount | 29 | | adverbRatio | 0.02759276879162702 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.015223596574690771 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 97 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 97 | | mean | 11.61 | | std | 4.91 | | cv | 0.423 | | sampleLengths | | 0 | 11 | | 1 | 17 | | 2 | 13 | | 3 | 9 | | 4 | 16 | | 5 | 10 | | 6 | 16 | | 7 | 16 | | 8 | 15 | | 9 | 14 | | 10 | 15 | | 11 | 17 | | 12 | 13 | | 13 | 11 | | 14 | 29 | | 15 | 8 | | 16 | 7 | | 17 | 14 | | 18 | 12 | | 19 | 12 | | 20 | 11 | | 21 | 6 | | 22 | 3 | | 23 | 7 | | 24 | 2 | | 25 | 11 | | 26 | 9 | | 27 | 12 | | 28 | 11 | | 29 | 11 | | 30 | 13 | | 31 | 17 | | 32 | 7 | | 33 | 9 | | 34 | 15 | | 35 | 21 | | 36 | 10 | | 37 | 11 | | 38 | 7 | | 39 | 14 | | 40 | 19 | | 41 | 5 | | 42 | 6 | | 43 | 8 | | 44 | 10 | | 45 | 14 | | 46 | 12 | | 47 | 11 | | 48 | 12 | | 49 | 13 |
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| 55.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3711340206185567 | | totalSentences | 97 | | uniqueOpeners | 36 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 89 | | matches | (empty) | | ratio | 0 | |
| 98.65% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 89 | | matches | | 0 | "Her eyes, sharp and unyielding," | | 1 | "she muttered to herself, pushing" | | 2 | "she called out, voice nearly" | | 3 | "Her steps echoed off the" | | 4 | "She spotted Tomás's figure ahead" | | 5 | "She hadn’t set foot in" | | 6 | "Her jaw tightened; she couldn’t" | | 7 | "She avoided eye contact with" | | 8 | "She ignored the greeting, pushing" | | 9 | "He picked up his pace." | | 10 | "She knew the full moon" | | 11 | "Her chase was against more" | | 12 | "She drew her revolver, keeping" | | 13 | "She wasn’t looking for a" | | 14 | "It revealed a hidden door," | | 15 | "She lunged, catching Tomás by" | | 16 | "He struggled, his scarred forearm" | | 17 | "she challenged, voice steady as" | | 18 | "he pleaded, eyes darting" | | 19 | "she spat, voice just above" |
| | ratio | 0.303 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 82 | | totalSentences | 89 | | matches | | 0 | "Thunder cracked above London, sending" | | 1 | "Detective Harlow Quinn advanced through" | | 2 | "Her eyes, sharp and unyielding," | | 3 | "Each step felt like a" | | 4 | "she muttered to herself, pushing" | | 5 | "The figure, barely visible amidst" | | 6 | "Quinn's pulse hammered in her" | | 7 | "The suspect was quick, a" | | 8 | "Quinn cursed, her attention split" | | 9 | "The neon signs of Soho's" | | 10 | "she called out, voice nearly" | | 11 | "Quinn felt the weight of" | | 12 | "The memory of her partner," | | 13 | "The supernatural interference in that" | | 14 | "Tomás ducked into an alley," | | 15 | "The darkness seemed to swallow" | | 16 | "Her steps echoed off the" | | 17 | "She spotted Tomás's figure ahead" | | 18 | "The alley ended in an" | | 19 | "Quinn hesitated for just a" |
| | ratio | 0.921 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 89 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 1 | | matches | | 0 | "And deep underground, amid secrets and darkness, Detective Harlow Quinn prepared to confront the truths that had eluded her for so long." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 4 | | matches | | 0 | "she called out, voice nearly lost in the storm" | | 1 | "he pleaded, eyes darting" | | 2 | "she spat, voice just above a whisper" | | 3 | "she ordered, her voice a mere whisper in the thick, charged air" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 9 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she called out (call out)" | | 2 | "Quinn growled (growl)" | | 3 | "she challenged (challenge)" | | 4 | "he pleaded (plead)" | | 5 | "she spat (spit)" | | 6 | "she demanded (demand)" | | 7 | "Tomás murmured (murmur)" | | 8 | "she ordered (order)" |
| | dialogueSentences | 15 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0.9 | | effectiveRatio | 0.9 | |