| 88.89% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 34 | | adverbTagCount | 5 | | adverbTags | | 0 | "The words came quickly [quickly]" | | 1 | "He gestured around [around]" | | 2 | "Aurora's voice wavered slightly [slightly]" | | 3 | "She swallowed hard [hard]" | | 4 | "Aurora nodded slightly [slightly]" |
| | dialogueSentences | 90 | | tagDensity | 0.378 | | leniency | 0.756 | | rawRatio | 0.147 | | effectiveRatio | 0.111 | |
| 50.25% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1608 | | totalAiIsmAdverbs | 16 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | adverb | "barely above a whisper" | | count | 1 |
|
| | highlights | | 0 | "slightly" | | 1 | "softly" | | 2 | "carefully" | | 3 | "lightly" | | 4 | "quickly" | | 5 | "sharply" | | 6 | "perfectly" | | 7 | "slowly" | | 8 | "really" | | 9 | "completely" | | 10 | "barely above a whisper" |
| |
| 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) | |
| 37.81% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1608 | | totalAiIsms | 20 | | found | | 0 | | | 1 | | word | "down her spine" | | count | 1 |
| | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | |
| | highlights | | 0 | "familiar" | | 1 | "down her spine" | | 2 | "silk" | | 3 | "navigating" | | 4 | "silence" | | 5 | "flickered" | | 6 | "traced" | | 7 | "potential" | | 8 | "tension" | | 9 | "wavered" | | 10 | "delving" | | 11 | "unspoken" | | 12 | "whisper" | | 13 | "charged" | | 14 | "could feel" | | 15 | "warmth" | | 16 | "racing" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 96 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 96 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 150 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 50 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1593 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 24 | | unquotedAttributions | 0 | | matches | (empty) | |
| 49.60% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 53 | | wordCount | 996 | | uniqueNames | 16 | | maxNameDensity | 2.01 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 20 | | Tuesday | 1 | | Ptolemy | 3 | | London | 2 | | Moreau | 2 | | Silas | 1 | | French | 2 | | Lucien | 13 | | Cardiff | 1 | | University | 1 | | Eva | 2 | | Bitterness | 1 | | Brick | 1 | | Lane | 1 | | Rain | 1 | | Tonight | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Ptolemy" | | 2 | "Moreau" | | 3 | "Silas" | | 4 | "Lucien" | | 5 | "Eva" | | 6 | "Bitterness" |
| | places | | 0 | "London" | | 1 | "Cardiff" | | 2 | "Brick" | | 3 | "Lane" | | 4 | "Rain" |
| | globalScore | 0.496 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 70 | | 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 | 1593 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 150 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 82 | | mean | 19.43 | | std | 9.88 | | cv | 0.509 | | sampleLengths | | 0 | 57 | | 1 | 20 | | 2 | 37 | | 3 | 34 | | 4 | 39 | | 5 | 49 | | 6 | 12 | | 7 | 10 | | 8 | 19 | | 9 | 13 | | 10 | 18 | | 11 | 29 | | 12 | 16 | | 13 | 25 | | 14 | 17 | | 15 | 2 | | 16 | 20 | | 17 | 17 | | 18 | 12 | | 19 | 29 | | 20 | 16 | | 21 | 20 | | 22 | 36 | | 23 | 15 | | 24 | 31 | | 25 | 21 | | 26 | 9 | | 27 | 5 | | 28 | 15 | | 29 | 18 | | 30 | 21 | | 31 | 20 | | 32 | 1 | | 33 | 28 | | 34 | 10 | | 35 | 11 | | 36 | 14 | | 37 | 18 | | 38 | 17 | | 39 | 22 | | 40 | 22 | | 41 | 5 | | 42 | 16 | | 43 | 9 | | 44 | 35 | | 45 | 8 | | 46 | 17 | | 47 | 14 | | 48 | 26 | | 49 | 27 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 96 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 180 | | matches | | |
| 47.62% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 150 | | ratio | 0.033 | | matches | | 0 | "A familiar prickle of unease ran down her spine—a sensation she'd developed after moving to London." | | 1 | "Her heart hammered painfully against her ribs as memories flooded back—the gleam in his mismatched eyes when he'd first approached her at Silas's bar, his voice a low purr across her skin as he spoke French into her ear, the bitter argument that had ended everything six weeks ago." | | 2 | "His mismatched eyes—one amber, one black—studied her face." | | 3 | "The familiar scent of his cologne—something expensive with hints of sandalwood and something darker she could never identify—drifted toward her." | | 4 | "The unspoken hung between them—his half-demon heritage, the secret she had discovered by accident and promised never to reveal." |
| |
| 92.51% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1009 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 49 | | adverbRatio | 0.048562933597621406 | | lyAdverbCount | 19 | | lyAdverbRatio | 0.018830525272547076 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 150 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 150 | | mean | 10.62 | | std | 6.47 | | cv | 0.61 | | sampleLengths | | 0 | 15 | | 1 | 11 | | 2 | 31 | | 3 | 20 | | 4 | 14 | | 5 | 16 | | 6 | 7 | | 7 | 6 | | 8 | 1 | | 9 | 27 | | 10 | 19 | | 11 | 20 | | 12 | 49 | | 13 | 12 | | 14 | 7 | | 15 | 2 | | 16 | 1 | | 17 | 19 | | 18 | 8 | | 19 | 5 | | 20 | 8 | | 21 | 10 | | 22 | 20 | | 23 | 9 | | 24 | 16 | | 25 | 21 | | 26 | 4 | | 27 | 9 | | 28 | 5 | | 29 | 3 | | 30 | 2 | | 31 | 4 | | 32 | 10 | | 33 | 6 | | 34 | 17 | | 35 | 4 | | 36 | 8 | | 37 | 13 | | 38 | 12 | | 39 | 4 | | 40 | 5 | | 41 | 11 | | 42 | 17 | | 43 | 3 | | 44 | 20 | | 45 | 16 | | 46 | 9 | | 47 | 6 | | 48 | 14 | | 49 | 17 |
| |
| 69.56% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.43333333333333335 | | totalSentences | 150 | | uniqueOpeners | 65 | |
| 36.63% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 91 | | matches | | | ratio | 0.011 | |
| 74.95% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 91 | | matches | | 0 | "She frowned, not expecting any" | | 1 | "she called out, stepping over" | | 2 | "She pulled back the first" | | 3 | "Her fingers faltered on the" | | 4 | "She blinked hard, convinced her" | | 5 | "Her heart hammered painfully against" | | 6 | "His voice carried that same" | | 7 | "Her voice emerged steadier than" | | 8 | "His mismatched eyes—one amber, one" | | 9 | "It was his business to" | | 10 | "he said, his gaze traveling" | | 11 | "He moved further into the" | | 12 | "His fingers trailed over the" | | 13 | "His voice remained calm, but" | | 14 | "He sat and placed his" | | 15 | "Her fingers absently traced the" | | 16 | "His eyes dropped to her" | | 17 | "She filled the kettle, keeping" | | 18 | "She set his mug down" | | 19 | "His voice had softened, the" |
| | ratio | 0.363 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 84 | | totalSentences | 91 | | matches | | 0 | "The doorbell rang just as" | | 1 | "She frowned, not expecting any" | | 2 | "Eva had been gone for" | | 3 | "she called out, stepping over" | | 4 | "She pulled back the first" | | 5 | "A familiar prickle of unease" | | 6 | "Aurora peered through the peephole" | | 7 | "Her fingers faltered on the" | | 8 | "She blinked hard, convinced her" | | 9 | "Lucien Moreau stood in the" | | 10 | "Her heart hammered painfully against" | | 11 | "Aurora drew in a deep" | | 12 | "The door opened, and there" | | 13 | "His voice carried that same" | | 14 | "Her voice emerged steadier than" | | 15 | "His mismatched eyes—one amber, one" | | 16 | "The familiar scent of his" | | 17 | "Aurora hesitated, then stepped back," | | 18 | "Ptolemy hissed from his perch" | | 19 | "A slight smile curved his" |
| | ratio | 0.923 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 91 | | matches | | 0 | "Even through the distorted fish-eye" | | 1 | "Before she could respond, his" |
| | ratio | 0.022 | |
| 79.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 3 | | matches | | 0 | "Her heart hammered painfully against her ribs as memories flooded back—the gleam in his mismatched eyes when he'd first approached her at Silas's bar, his voice…" | | 1 | "Lucien Moreau knew everything that happened in London's supernatural underworld." | | 2 | "Aurora answered by pressing closer, deepening the kiss, her fingers sliding up to tangle in his perfectly styled hair." |
| |
| 66.18% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 34 | | uselessAdditionCount | 4 | | matches | | 0 | "The words came quickly, sharply" | | 1 | "His voice had, the cultivated polish giving way to something more raw" | | 2 | "His voice remained, but his fingers tightened on the handle of his cane" | | 3 | "she admitted, the words a relief to finally speak aloud" |
| |
| 72.22% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 7 | | fancyTags | | 0 | "Eva had (have)" | | 1 | "she called out (call out)" | | 2 | "Lucien continued (continue)" | | 3 | "She laughed (laugh)" | | 4 | "he continued (continue)" | | 5 | "he murmured (murmur)" | | 6 | "she admitted (admit)" |
| | dialogueSentences | 90 | | tagDensity | 0.1 | | leniency | 0.2 | | rawRatio | 0.778 | | effectiveRatio | 0.156 | |