| 64.41% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 29 | | adverbTagCount | 4 | | adverbTags | | 0 | "DS Davies stepped back [back]" | | 1 | "She stepped further [further]" | | 2 | "Quinn replied tersely [tersely]" | | 3 | "Eva’s voice trembled slightly [slightly]" |
| | dialogueSentences | 59 | | tagDensity | 0.492 | | leniency | 0.983 | | rawRatio | 0.138 | | effectiveRatio | 0.136 | |
| 78.54% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1165 | | totalAiIsmAdverbs | 5 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
| | 2 | | | 3 | |
| | highlights | | 0 | "slightly" | | 1 | "barely above a whisper" | | 2 | "very" | | 3 | "nervously" |
| |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 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 | 1165 | | totalAiIsms | 27 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "echoed" | | 1 | "footsteps" | | 2 | "stomach" | | 3 | "churn" | | 4 | "furrowed" | | 5 | "scanning" | | 6 | "flicker" | | 7 | "sinister" | | 8 | "whisper" | | 9 | "raced" | | 10 | "glinting" | | 11 | "etched" | | 12 | "trembled" | | 13 | "racing" | | 14 | "scanned" | | 15 | "familiar" | | 16 | "tension" | | 17 | "echoing" | | 18 | "glint" | | 19 | "pulse" | | 20 | "quickened" |
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| 0.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 4 | | maxInWindow | 4 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 2 |
| | 1 | | label | "air was thick with" | | count | 1 |
| | 2 | | label | "flicker of emotion" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "eyes widened" | | 2 | "The air was thick with" | | 3 | "a flicker of hope" |
| |
| 97.68% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 61 | | matches | | 0 | "a flicker of hope" | | 1 | "d with excitement" |
| |
| 96.02% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 61 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 90 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1158 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 47 | | wordCount | 698 | | uniqueNames | 10 | | maxNameDensity | 3.3 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 23 | | Tube | 1 | | Camden | 1 | | Davies | 4 | | Eva | 11 | | Kowalski | 1 | | Veil | 2 | | Market | 2 | | Marcus | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Davies" | | 3 | "Eva" | | 4 | "Kowalski" | | 5 | "Marcus" |
| | places | | | globalScore | 0 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | 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 | 1158 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 90 | | matches | (empty) | |
| 87.91% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 28.24 | | std | 12.93 | | cv | 0.458 | | sampleLengths | | 0 | 8 | | 1 | 58 | | 2 | 13 | | 3 | 60 | | 4 | 23 | | 5 | 39 | | 6 | 19 | | 7 | 39 | | 8 | 6 | | 9 | 44 | | 10 | 44 | | 11 | 35 | | 12 | 19 | | 13 | 37 | | 14 | 14 | | 15 | 36 | | 16 | 29 | | 17 | 42 | | 18 | 24 | | 19 | 17 | | 20 | 25 | | 21 | 18 | | 22 | 31 | | 23 | 32 | | 24 | 28 | | 25 | 41 | | 26 | 19 | | 27 | 33 | | 28 | 27 | | 29 | 17 | | 30 | 52 | | 31 | 15 | | 32 | 40 | | 33 | 12 | | 34 | 26 | | 35 | 19 | | 36 | 24 | | 37 | 11 | | 38 | 24 | | 39 | 35 | | 40 | 23 |
| |
| 99.51% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 61 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 128 | | matches | | |
| 15.87% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 90 | | ratio | 0.044 | | matches | | 0 | "The air was thick with the scent of damp concrete and something else—something metallic that made her stomach churn." | | 1 | "The victim—a young woman—had a pallid complexion, her freckled skin marred by dark bruises." | | 2 | "They were all familiar—people connected to the Veil Market, each one marked with a date that corresponded to the full moon." | | 3 | "The victim, the compass, the names—everything was connected." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 704 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.028409090909090908 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.01278409090909091 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 90 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 90 | | mean | 12.87 | | std | 6.03 | | cv | 0.469 | | sampleLengths | | 0 | 8 | | 1 | 17 | | 2 | 22 | | 3 | 19 | | 4 | 9 | | 5 | 4 | | 6 | 21 | | 7 | 12 | | 8 | 14 | | 9 | 13 | | 10 | 16 | | 11 | 7 | | 12 | 3 | | 13 | 29 | | 14 | 7 | | 15 | 12 | | 16 | 7 | | 17 | 17 | | 18 | 22 | | 19 | 6 | | 20 | 12 | | 21 | 32 | | 22 | 13 | | 23 | 12 | | 24 | 19 | | 25 | 7 | | 26 | 20 | | 27 | 8 | | 28 | 11 | | 29 | 8 | | 30 | 17 | | 31 | 20 | | 32 | 10 | | 33 | 4 | | 34 | 27 | | 35 | 9 | | 36 | 10 | | 37 | 19 | | 38 | 9 | | 39 | 15 | | 40 | 18 | | 41 | 15 | | 42 | 9 | | 43 | 3 | | 44 | 14 | | 45 | 4 | | 46 | 21 | | 47 | 11 | | 48 | 7 | | 49 | 23 |
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| 88.52% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5444444444444444 | | totalSentences | 90 | | uniqueOpeners | 49 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 61 | | matches | | 0 | "She stepped further into the" | | 1 | "She gestured to the victim’s" | | 2 | "She turned her gaze to" | | 3 | "She noticed a small, brass" | | 4 | "She knelt down, brushing away" | | 5 | "She held it up, the" | | 6 | "She pulled out a crumpled" | | 7 | "she said, her voice barely" | | 8 | "They were all familiar—people connected" | | 9 | "She glanced at Eva, who" | | 10 | "They reached the entrance, the" | | 11 | "she warned, her hand instinctively" | | 12 | "He chuckled, a predatory glint" | | 13 | "He stepped closer, the shadows" |
| | ratio | 0.23 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 61 | | matches | | 0 | "Detective Harlow Quinn squinted against" | | 1 | "The abandoned Tube station beneath" | | 2 | "The air was thick with" | | 3 | "DS Davies stepped back, lowering" | | 4 | "She stepped further into the" | | 5 | "A body lay sprawled on" | | 6 | "The victim—a young woman—had a" | | 7 | "Quinn knelt beside her, the" | | 8 | "Davies said, his voice a" | | 9 | "Quinn’s brow furrowed." | | 10 | "She gestured to the victim’s" | | 11 | "Davies suggested, scratching the back" | | 12 | "Quinn’s eyes narrowed as she" | | 13 | "Quinn stood, brushing off her" | | 14 | "Davies moved away, but Quinn’s" | | 15 | "Something about the scene felt" | | 16 | "She turned her gaze to" | | 17 | "A voice called from the" | | 18 | "Eva Kowalski emerged, her curly" | | 19 | "Quinn replied tersely, her eyes" |
| | ratio | 0.934 | |
| 81.97% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 61 | | matches | | 0 | "Just as they stepped outside," |
| | ratio | 0.016 | |
| 60.44% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 3 | | matches | | 0 | "Eva rifled through the victim’s clothing, her fingers trembling slightly." | | 1 | "They were all familiar—people connected to the Veil Market, each one marked with a date that corresponded to the full moon." | | 2 | "She glanced at Eva, who was nervously tucking her hair behind her left ear, a telltale sign of her anxiety." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 29 | | uselessAdditionCount | 14 | | matches | | 0 | "Davies said, his voice a mix of uncertainty and eagerness" | | 1 | "Davies moved away, but Quinn’s attention remained fixed on the body" | | 2 | "Quinn replied tersely, her eyes still scanning the area" | | 3 | "Eva’s voice dropped, her freckled complexion paling" | | 4 | "She held, the patina of verdigris catching the light" | | 5 | "Quinn’s gaze shifted, her mind piecing together the fragments of the scene" | | 6 | "She pulled out, its edges frayed" | | 7 | "she said, her voice barely above a whisper" | | 8 | "Quinn took, her heart racing as she scanned the names" | | 9 | "Eva suggested, her eyes darting around the station" | | 10 | "Quinn said, her voice low" | | 11 | "she warned, her hand instinctively moving towards her sidearm" | | 12 | "He stepped, the shadows swallowing him whole" | | 13 | "Quinn shouted, adrenaline surging through her veins as she pushed Eva aside" |
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| 65.25% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 5 | | fancyTags | | 0 | "Davies suggested (suggest)" | | 1 | "Eva suggested (suggest)" | | 2 | "she warned (warn)" | | 3 | "He chuckled (chuckle)" | | 4 | "Quinn shouted (shout)" |
| | dialogueSentences | 59 | | tagDensity | 0.169 | | leniency | 0.339 | | rawRatio | 0.5 | | effectiveRatio | 0.169 | |