| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 0 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.27% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1145 | | totalAiIsmAdverbs | 2 | | found | | 0 | | adverb | "deliberately" | | count | 1 |
| | 1 | |
| | highlights | | 0 | "deliberately" | | 1 | "utterly" |
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| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1145 | | totalAiIsms | 27 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | |
| | highlights | | 0 | "determined" | | 1 | "whisper" | | 2 | "familiar" | | 3 | "hulking" | | 4 | "charged" | | 5 | "traced" | | 6 | "implication" | | 7 | "clandestine" | | 8 | "raced" | | 9 | "footsteps" | | 10 | "echoed" | | 11 | "pulsed" | | 12 | "beacon" | | 13 | "gloom" | | 14 | "imposing" | | 15 | "stark" | | 16 | "chill" | | 17 | "could feel" | | 18 | "magnetic" | | 19 | "calculating" | | 20 | "standard" | | 21 | "resolve" | | 22 | "pulse" | | 23 | "oppressive" | | 24 | "silence" |
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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 | 85 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 85 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 86 | | 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 | 1141 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 1106 | | uniqueNames | 12 | | maxNameDensity | 0.81 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Thorne" | | discoveredNames | | Detective | 2 | | Harlow | 2 | | Quinn | 9 | | Soho | 1 | | Morris | 5 | | Elias | 2 | | Thorne | 8 | | Veil | 3 | | Market | 3 | | Raven | 2 | | Nest | 2 | | Londoners | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Elias" | | 4 | "Thorne" | | 5 | "Raven" |
| | places | | 0 | "Detective" | | 1 | "Soho" | | 2 | "Veil" | | 3 | "Market" |
| | globalScore | 1 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1141 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 86 | | matches | (empty) | |
| 0.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 13 | | mean | 87.77 | | std | 13.02 | | cv | 0.148 | | sampleLengths | | 0 | 90 | | 1 | 83 | | 2 | 108 | | 3 | 105 | | 4 | 93 | | 5 | 74 | | 6 | 99 | | 7 | 107 | | 8 | 80 | | 9 | 73 | | 10 | 83 | | 11 | 76 | | 12 | 70 |
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| 88.75% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 85 | | matches | | 0 | "was wrapped" | | 1 | "were traded" | | 2 | "was gone" | | 3 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 153 | | matches | | 0 | "was chasing" | | 1 | "was playing" |
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| 76.41% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 86 | | ratio | 0.023 | | matches | | 0 | "Through the gap, a faint, pulsing green light spilled out, accompanied by a low murmur of voices – too many voices for a single illicit meeting." | | 1 | "He didn’t hesitate; he plunged into it." |
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| 98.54% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 336 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.041666666666666664 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.017857142857142856 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 86 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 86 | | mean | 13.27 | | std | 7.15 | | cv | 0.539 | | sampleLengths | | 0 | 22 | | 1 | 22 | | 2 | 29 | | 3 | 17 | | 4 | 13 | | 5 | 16 | | 6 | 14 | | 7 | 17 | | 8 | 1 | | 9 | 22 | | 10 | 21 | | 11 | 11 | | 12 | 26 | | 13 | 11 | | 14 | 10 | | 15 | 16 | | 16 | 13 | | 17 | 12 | | 18 | 20 | | 19 | 5 | | 20 | 12 | | 21 | 10 | | 22 | 10 | | 23 | 3 | | 24 | 23 | | 25 | 10 | | 26 | 3 | | 27 | 9 | | 28 | 16 | | 29 | 17 | | 30 | 17 | | 31 | 25 | | 32 | 6 | | 33 | 17 | | 34 | 3 | | 35 | 6 | | 36 | 3 | | 37 | 5 | | 38 | 6 | | 39 | 6 | | 40 | 28 | | 41 | 7 | | 42 | 22 | | 43 | 22 | | 44 | 13 | | 45 | 20 | | 46 | 15 | | 47 | 12 | | 48 | 6 | | 49 | 16 |
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| 41.09% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3023255813953488 | | totalSentences | 86 | | uniqueOpeners | 26 | |
| 40.16% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 83 | | matches | | 0 | "Perhaps it was time to" |
| | ratio | 0.012 | |
| 85.06% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 83 | | matches | | 0 | "Her quarry, a man whose" | | 1 | "He rounded a corner, disappearing" | | 2 | "She pushed forward, her military-honed" | | 3 | "It wasn’t a chase that" | | 4 | "It was a door leading" | | 5 | "It was the kind of" | | 6 | "She paused, her hand still" | | 7 | "He’d even produced a bone" | | 8 | "He’d offered it to her," | | 9 | "She could call for backup," | | 10 | "They’d be lambs to the" | | 11 | "She wouldn’t make the same" | | 12 | "She pushed the metal door" | | 13 | "It was a bar, its" | | 14 | "It was a trick, a" | | 15 | "He didn’t pause, didn’t look" | | 16 | "He made a beeline for" | | 17 | "Her shadow stretched long and" | | 18 | "He didn’t hesitate; he plunged" | | 19 | "She could feel the magnetic" |
| | ratio | 0.337 | |
| 68.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 83 | | matches | | 0 | "The alley reeked of stale" | | 1 | "Puddles of grimy water reflected" | | 2 | "Her quarry, a man whose" | | 3 | "The slick cobblestones offered little" | | 4 | "He rounded a corner, disappearing" | | 5 | "Quinn’s boots skidded, her hand" | | 6 | "She pushed forward, her military-honed" | | 7 | "This chase had taken a" | | 8 | "The air grew heavy, damp," | | 9 | "The passage opened into a" | | 10 | "It wasn’t a chase that" | | 11 | "It was a door leading" | | 12 | "It was the kind of" | | 13 | "A shiver, not entirely from" | | 14 | "She paused, her hand still" | | 15 | "The voice that had spoken" | | 16 | "Thorne spoke in riddles, his" | | 17 | "The Veil Market." | | 18 | "He’d even produced a bone" | | 19 | "He’d offered it to her," |
| | ratio | 0.783 | |
| 60.24% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 83 | | matches | | 0 | "Before her, a hulking metal" |
| | ratio | 0.012 | |
| 76.72% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 5 | | matches | | 0 | "The alley reeked of stale beer and something far more unpleasant, something that clung to Detective Harlow Quinn’s nostrils like a shroud." | | 1 | "The voice that had spoken earlier, Elias Thorne, the slippery dealer in whispers and illicit goods, had mentioned this place." | | 2 | "Thorne was a ghost, a rumour that led to dead ends and whispers of the supernatural." | | 3 | "The air that wafted out was heavy with the scent of ozone and something else, something faintly, unpleasantly sweet, like decaying flowers." | | 4 | "The sound of her own pulse, a frantic drum against the oppressive silence, was the only thing that reminded her she was still alive." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |