| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 1 | | adverbTags | | 0 | "Herrera said quietly [quietly]" |
| | dialogueSentences | 23 | | tagDensity | 0.304 | | leniency | 0.609 | | rawRatio | 0.143 | | effectiveRatio | 0.087 | |
| 96.03% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1261 | | 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) | |
| 32.59% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1261 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "echoed" | | 1 | "glistening" | | 2 | "calculating" | | 3 | "familiar" | | 4 | "weight" | | 5 | "flicked" | | 6 | "chill" | | 7 | "vibrated" | | 8 | "cacophony" | | 9 | "constructed" | | 10 | "hulking" | | 11 | "silence" | | 12 | "intricate" | | 13 | "lilt" | | 14 | "pulse" | | 15 | "comforting" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "The air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 126 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 126 | | filterMatches | (empty) | | hedgeMatches | | 0 | "appeared to" | | 1 | "seemed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 140 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 3 | | totalWords | 1252 | | ratio | 0.002 | | matches | | 0 | "Underground. Of course." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 1068 | | uniqueNames | 15 | | maxNameDensity | 1.22 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Herrera" | | discoveredNames | | Harlow | 2 | | Quinn | 13 | | Raven | 1 | | Nest | 1 | | London | 1 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Herrera | 12 | | Saint | 2 | | Christopher | 2 | | Spanish | 1 | | Tommy | 5 | | Detective | 2 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Herrera" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Tommy" | | 7 | "Morris" |
| | places | | | globalScore | 0.891 | | windowScore | 0.167 | |
| 61.76% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 85 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like teeth in a mortar" | | 1 | "liquid that seemed to pulse" | | 2 | "looked like moth wings, iridescent and fr" |
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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 | 1252 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 140 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 27.22 | | std | 20.61 | | cv | 0.757 | | sampleLengths | | 0 | 44 | | 1 | 69 | | 2 | 6 | | 3 | 3 | | 4 | 57 | | 5 | 45 | | 6 | 49 | | 7 | 2 | | 8 | 35 | | 9 | 89 | | 10 | 20 | | 11 | 2 | | 12 | 34 | | 13 | 29 | | 14 | 44 | | 15 | 8 | | 16 | 31 | | 17 | 3 | | 18 | 67 | | 19 | 34 | | 20 | 29 | | 21 | 8 | | 22 | 37 | | 23 | 16 | | 24 | 45 | | 25 | 44 | | 26 | 18 | | 27 | 10 | | 28 | 2 | | 29 | 29 | | 30 | 28 | | 31 | 14 | | 32 | 10 | | 33 | 38 | | 34 | 16 | | 35 | 7 | | 36 | 24 | | 37 | 9 | | 38 | 25 | | 39 | 44 | | 40 | 20 | | 41 | 29 | | 42 | 2 | | 43 | 62 | | 44 | 11 | | 45 | 4 |
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| 96.91% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 126 | | matches | | 0 | "was replaced" | | 1 | "been, was" | | 2 | "was buried" |
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| 84.39% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 173 | | matches | | 0 | "was heading" | | 1 | "was trembling" | | 2 | "was staring" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 140 | | ratio | 0.014 | | matches | | 0 | "People—if they were people—moved through the throng." | | 1 | "The suspect—Tommy—was trembling, his hands on the stall’s edge." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1076 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.020446096654275093 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0037174721189591076 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 140 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 140 | | mean | 8.94 | | std | 5.68 | | cv | 0.635 | | sampleLengths | | 0 | 18 | | 1 | 9 | | 2 | 5 | | 3 | 12 | | 4 | 6 | | 5 | 24 | | 6 | 4 | | 7 | 5 | | 8 | 7 | | 9 | 23 | | 10 | 6 | | 11 | 1 | | 12 | 2 | | 13 | 13 | | 14 | 14 | | 15 | 10 | | 16 | 5 | | 17 | 15 | | 18 | 5 | | 19 | 12 | | 20 | 1 | | 21 | 4 | | 22 | 13 | | 23 | 10 | | 24 | 14 | | 25 | 6 | | 26 | 7 | | 27 | 22 | | 28 | 2 | | 29 | 12 | | 30 | 4 | | 31 | 3 | | 32 | 10 | | 33 | 6 | | 34 | 14 | | 35 | 12 | | 36 | 15 | | 37 | 14 | | 38 | 7 | | 39 | 12 | | 40 | 15 | | 41 | 20 | | 42 | 2 | | 43 | 10 | | 44 | 4 | | 45 | 9 | | 46 | 7 | | 47 | 4 | | 48 | 4 | | 49 | 12 |
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| 56.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.37857142857142856 | | totalSentences | 140 | | uniqueOpeners | 53 | |
| 28.99% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 115 | | matches | | 0 | "Then a cacophony of voices," |
| | ratio | 0.009 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 115 | | matches | | 0 | "Her own footfalls were a" | | 1 | "She’d had him for six" | | 2 | "He was younger, faster." | | 3 | "He vanished down a service" | | 4 | "She paused at the top," | | 5 | "Her hand went to her" | | 6 | "She flicked on her torch." | | 7 | "She rounded a corner and" | | 8 | "Her suspect was twenty yards" | | 9 | "His face, pale in the" | | 10 | "He ducked behind a stall" | | 11 | "She felt watched." | | 12 | "His voice was a dry" | | 13 | "She ignored him, her focus" | | 14 | "He was heading for a" | | 15 | "Her suspect had reached a" | | 16 | "His Saint Christopher medallion glinted" | | 17 | "He put a steadying hand" | | 18 | "It made no sound as" | | 19 | "He rang it once." |
| | ratio | 0.226 | |
| 33.91% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 98 | | totalSentences | 115 | | matches | | 0 | "The suspect’s heel clipped the" | | 1 | "The sound echoed off wet" | | 2 | "Detective Harlow Quinn didn’t flinch." | | 3 | "Her own footfalls were a" | | 4 | "She’d had him for six" | | 5 | "He was younger, faster." | | 6 | "Fear made them run in" | | 7 | "Quinn cut a diagonal across" | | 8 | "He vanished down a service" | | 9 | "She paused at the top," | | 10 | "The steps descended into a" | | 11 | "Her hand went to her" | | 12 | "She flicked on her torch." | | 13 | "The beam cut a shaky" | | 14 | "The air changed halfway down." | | 15 | "The damp chill of the" | | 16 | "Ozone and old incense." | | 17 | "The faint, coppery tang of" | | 18 | "A low hum vibrated through" | | 19 | "The stairwell bottomed out into" |
| | ratio | 0.852 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 115 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 1 | | matches | | 0 | "The crowd didn’t part so much as it absorbed her, bodies shifting to let her through then closing behind her." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 2 | | matches | | 0 | "Herrera said, his voice calm, carrying a faint Spanish lilt" | | 1 | "Quinn said, the words leaving her mouth before she could stop them" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | 0 | "Herrera whispered (whisper)" |
| | dialogueSentences | 23 | | tagDensity | 0.174 | | leniency | 0.348 | | rawRatio | 0.25 | | effectiveRatio | 0.087 | |