| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 27 | | adverbTagCount | 2 | | adverbTags | | 0 | "Lucien said quietly [quietly]" | | 1 | "a way she'd only [only]" |
| | dialogueSentences | 81 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.074 | | effectiveRatio | 0.049 | |
| 94.42% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1791 | | 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) | |
| 63.71% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1791 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "velvet" | | 1 | "flickered" | | 2 | "silence" | | 3 | "familiar" | | 4 | "dancing" | | 5 | "calculating" | | 6 | "perfect" | | 7 | "tension" |
| |
| 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 | 1 | | narrationSentences | 88 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 88 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 142 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 60 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1772 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 0 | | matches | (empty) | |
| 91.07% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 50 | | wordCount | 1103 | | uniqueNames | 18 | | maxNameDensity | 1.18 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 13 | | Moreau | 2 | | Eva | 7 | | Velvet | 1 | | Archive | 1 | | Ptolemy | 4 | | Whitmore | 1 | | King | 1 | | Cross | 1 | | Silence | 1 | | Lucien | 11 | | Distance | 1 | | Crow | 1 | | Nest | 1 | | Ashford | 1 | | Childhood | 1 | | Brick | 1 | | Lane | 1 |
| | persons | | 0 | "Rory" | | 1 | "Moreau" | | 2 | "Eva" | | 3 | "Ptolemy" | | 4 | "King" | | 5 | "Cross" | | 6 | "Silence" | | 7 | "Lucien" |
| | places | | 0 | "Crow" | | 1 | "Ashford" | | 2 | "Brick" | | 3 | "Lane" |
| | globalScore | 0.911 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like her mother whispered that she" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1772 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 142 | | matches | | 0 | "heard that voice" | | 1 | "whispered that she" |
| |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 76 | | mean | 23.32 | | std | 21.71 | | cv | 0.931 | | sampleLengths | | 0 | 11 | | 1 | 74 | | 2 | 2 | | 3 | 49 | | 4 | 9 | | 5 | 26 | | 6 | 6 | | 7 | 22 | | 8 | 69 | | 9 | 7 | | 10 | 58 | | 11 | 6 | | 12 | 20 | | 13 | 37 | | 14 | 5 | | 15 | 3 | | 16 | 2 | | 17 | 29 | | 18 | 6 | | 19 | 1 | | 20 | 2 | | 21 | 43 | | 22 | 77 | | 23 | 12 | | 24 | 4 | | 25 | 4 | | 26 | 25 | | 27 | 4 | | 28 | 3 | | 29 | 20 | | 30 | 18 | | 31 | 1 | | 32 | 22 | | 33 | 30 | | 34 | 72 | | 35 | 4 | | 36 | 6 | | 37 | 50 | | 38 | 16 | | 39 | 39 | | 40 | 9 | | 41 | 28 | | 42 | 21 | | 43 | 18 | | 44 | 56 | | 45 | 1 | | 46 | 42 | | 47 | 28 | | 48 | 17 | | 49 | 51 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 88 | | matches | (empty) | |
| 93.05% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 187 | | matches | | 0 | "was coming" | | 1 | "was asking" | | 2 | "was making" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 19 | | semicolonCount | 1 | | flaggedSentences | 15 | | totalSentences | 142 | | ratio | 0.106 | | matches | | 0 | "The amber eye caught the light from Eva's flat; the black one swallowed it whole." | | 1 | "He looked exactly as she remembered—platinum hair slicked back with mathematical precision, charcoal suit cut so sharp it could draw blood, ivory-handled cane tucked under his arm like an afterthought." | | 2 | "His hand came up—not touching, never touching without permission, that had always been his way—but close enough that she stopped." | | 3 | "She could pretend the last year hadn't happened—the Whitmore case, the thing in the tunnels beneath King's Cross, the night they'd almost—" | | 4 | "He took in the cramped space with a single sweep of his gaze—the three deadbolts on the door, the curry-scented air drifting up from the restaurant below, the organized chaos of Eva's research scattered across the coffee table." | | 5 | "Lucien set his cane against Eva's cluttered desk—careful not to disturb her papers, she noticed—and unbuttoned his jacket." | | 6 | "He moved toward her then—two steps, no more—and stopped when her shoulders went rigid." | | 7 | "She saw something underneath—exhaustion, regret, something that looked dangerously close to longing." | | 8 | "\"I know.\" He took a breath—deliberate, controlled, the way he did everything." | | 9 | "\"—and I haven't been able to feel much of anything else since?\"" | | 10 | "The words hung in the cramped flat, tangling with the smell of curry and old paper and something else underneath—sandalwood and smoke, his cologne, exactly as she remembered." | | 11 | "Beneath the perfect suit and the careful posture, she could see it now—the tension in his shoulders, the slight tremor in his hands." | | 12 | "Outside, Brick Lane was coming alive with the evening crowd—laughter, car horns, the distant thump of bass from some bar down the street." | | 13 | "Something shifted in Lucien's expression—hope, maybe, fragile as spun glass." | | 14 | "Rory looked at him—really looked, past the armor of his tailored suit and careful control—and saw the truth of it." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 990 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.03232323232323232 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.007070707070707071 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 142 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 142 | | mean | 12.48 | | std | 10.94 | | cv | 0.877 | | sampleLengths | | 0 | 11 | | 1 | 29 | | 2 | 15 | | 3 | 30 | | 4 | 2 | | 5 | 8 | | 6 | 41 | | 7 | 9 | | 8 | 20 | | 9 | 6 | | 10 | 6 | | 11 | 6 | | 12 | 11 | | 13 | 5 | | 14 | 18 | | 15 | 24 | | 16 | 5 | | 17 | 22 | | 18 | 3 | | 19 | 4 | | 20 | 16 | | 21 | 2 | | 22 | 2 | | 23 | 38 | | 24 | 6 | | 25 | 13 | | 26 | 7 | | 27 | 23 | | 28 | 14 | | 29 | 5 | | 30 | 3 | | 31 | 2 | | 32 | 7 | | 33 | 13 | | 34 | 3 | | 35 | 6 | | 36 | 6 | | 37 | 1 | | 38 | 2 | | 39 | 33 | | 40 | 1 | | 41 | 3 | | 42 | 6 | | 43 | 18 | | 44 | 12 | | 45 | 47 | | 46 | 5 | | 47 | 7 | | 48 | 4 | | 49 | 4 |
| |
| 58.22% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.4084507042253521 | | totalSentences | 142 | | uniqueOpeners | 58 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 79 | | matches | (empty) | | ratio | 0 | |
| 57.97% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 79 | | matches | | 0 | "He looked exactly as she" | | 1 | "She hadn't heard that voice" | | 2 | "she said, and moved to" | | 3 | "His hand came up—not touching," | | 4 | "She could slam the door." | | 5 | "She could pretend the last" | | 6 | "She stepped back." | | 7 | "He took in the cramped" | | 8 | "He turned to face her," | | 9 | "She moved toward the kitchen" | | 10 | "She needed distance." | | 11 | "He moved toward her then—two" | | 12 | "His jaw tightened." | | 13 | "She saw something underneath—exhaustion, regret," | | 14 | "His voice was soft in" | | 15 | "She gripped the edge of" | | 16 | "He took a breath—deliberate, controlled," | | 17 | "She ignored it." | | 18 | "He closed the distance between" | | 19 | "He pressed two fingers to" |
| | ratio | 0.405 | |
| 42.28% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 79 | | matches | | 0 | "The door swung open, and" | | 1 | "Lucien Moreau stood in the" | | 2 | "The amber eye caught the" | | 3 | "He looked exactly as she" | | 4 | "She hadn't heard that voice" | | 5 | "she said, and moved to" | | 6 | "His hand came up—not touching," | | 7 | "Something flickered across his mismatched" | | 8 | "Rory glanced back at the" | | 9 | "She could slam the door." | | 10 | "She could pretend the last" | | 11 | "She stepped back." | | 12 | "Lucien moved past her with" | | 13 | "He took in the cramped" | | 14 | "Rory crossed her arms over" | | 15 | "He turned to face her," | | 16 | "Silence stretched between them, thick" | | 17 | "Ptolemy jumped down from his" | | 18 | "Traitor, Rory thought." | | 19 | "The cat had always liked" |
| | ratio | 0.835 | |
| 63.29% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 79 | | matches | | 0 | "If she didn't know better," |
| | ratio | 0.013 | |
| 20.41% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 6 | | matches | | 0 | "Lucien Moreau stood in the narrow hallway, one shoulder propped against the peeling wallpaper as if he'd been waiting for hours rather than the thirty seconds s…" | | 1 | "His hand came up—not touching, never touching without permission, that had always been his way—but close enough that she stopped." | | 2 | "Lucien moved past her with that fluid grace that had always set her teeth on edge." | | 3 | "She saw something underneath—exhaustion, regret, something that looked dangerously close to longing." | | 4 | "Ptolemy had settled on the arm of Eva's threadbare sofa, watching them with the unblinking attention of a creature who'd seen far stranger things than two peopl…" | | 5 | "Lucien Moreau, the unflappable fixer who'd faced down demons and crime lords and things with too many teeth, was nervous." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 27 | | uselessAdditionCount | 1 | | matches | | 0 | "He pressed, the gesture almost violent in its precision" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 2 | | fancyTags | | 0 | "he observed (observe)" | | 1 | "He pressed (press)" |
| | dialogueSentences | 81 | | tagDensity | 0.123 | | leniency | 0.247 | | rawRatio | 0.2 | | effectiveRatio | 0.049 | |