| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 2 | | adverbTags | | 0 | "he said finally [finally]" | | 1 | "he said gently [gently]" |
| | dialogueSentences | 60 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.133 | | effectiveRatio | 0.067 | |
| 74.05% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1156 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "softly" | | 1 | "slightly" | | 2 | "really" | | 3 | "gently" | | 4 | "slowly" |
| |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 61.07% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1156 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "pulsed" | | 1 | "wavering" | | 2 | "velvet" | | 3 | "scanned" | | 4 | "familiar" | | 5 | "scanning" | | 6 | "silence" | | 7 | "flickered" |
| |
| 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 |
|
| | highlights | | 0 | "the air was thick with" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 92 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 92 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 135 | | 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 | 1146 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 23 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 746 | | uniqueNames | 8 | | maxNameDensity | 0.8 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Soho | 1 | | Cornwall | 1 | | Silas | 6 | | Rory | 4 | | Billie | 1 | | Holiday | 1 |
| | persons | | 0 | "Raven" | | 1 | "Silas" | | 2 | "Rory" | | 3 | "Billie" | | 4 | "Holiday" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 91.86% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | glossingSentenceCount | 1 | | matches | | 0 | "quite hide the pressure plate behind them" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1146 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 135 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 68 | | mean | 16.85 | | std | 19.27 | | cv | 1.143 | | sampleLengths | | 0 | 76 | | 1 | 116 | | 2 | 4 | | 3 | 44 | | 4 | 5 | | 5 | 10 | | 6 | 19 | | 7 | 37 | | 8 | 3 | | 9 | 11 | | 10 | 29 | | 11 | 12 | | 12 | 15 | | 13 | 15 | | 14 | 21 | | 15 | 2 | | 16 | 2 | | 17 | 2 | | 18 | 25 | | 19 | 6 | | 20 | 18 | | 21 | 8 | | 22 | 48 | | 23 | 16 | | 24 | 11 | | 25 | 14 | | 26 | 28 | | 27 | 11 | | 28 | 3 | | 29 | 3 | | 30 | 1 | | 31 | 70 | | 32 | 12 | | 33 | 21 | | 34 | 24 | | 35 | 8 | | 36 | 29 | | 37 | 2 | | 38 | 4 | | 39 | 50 | | 40 | 6 | | 41 | 7 | | 42 | 17 | | 43 | 2 | | 44 | 3 | | 45 | 4 | | 46 | 5 | | 47 | 34 | | 48 | 9 | | 49 | 10 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 92 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 139 | | matches | | 0 | "wasn’t still running" | | 1 | "was trying" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 135 | | ratio | 0.052 | | matches | | 0 | "It was refuge, yes, but also a kind of purgatory—close enough to the world she’d fled, but just far enough to pretend she wasn’t still running." | | 1 | "He paused, scanning the room—then his hazel eyes locked on hers." | | 2 | "He sat, motioning to the bartender—a young man Rory didn’t recognize—with two fingers." | | 3 | "The music shifted—Billie Holiday’s voice curling through the room like smoke." | | 4 | "She lifted her eyes to his, and for the first time, he saw it—beneath the composure, the cool detachment, there was something raw." | | 5 | "He studied her—really studied her—like he was trying to reconcile the woman in front of him with the bright-eyed girl who used to argue constitutional law at midnight and laugh at her own bad puns." | | 6 | "Outside, rain began again—soft at first, then steady." |
| |
| 80.96% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 761 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 47 | | adverbRatio | 0.06176084099868594 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.013140604467805518 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 135 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 135 | | mean | 8.49 | | std | 7.96 | | cv | 0.938 | | sampleLengths | | 0 | 29 | | 1 | 28 | | 2 | 19 | | 3 | 30 | | 4 | 4 | | 5 | 4 | | 6 | 46 | | 7 | 6 | | 8 | 26 | | 9 | 4 | | 10 | 13 | | 11 | 20 | | 12 | 11 | | 13 | 5 | | 14 | 10 | | 15 | 18 | | 16 | 1 | | 17 | 15 | | 18 | 11 | | 19 | 11 | | 20 | 3 | | 21 | 9 | | 22 | 2 | | 23 | 8 | | 24 | 13 | | 25 | 2 | | 26 | 6 | | 27 | 8 | | 28 | 4 | | 29 | 8 | | 30 | 7 | | 31 | 6 | | 32 | 9 | | 33 | 6 | | 34 | 12 | | 35 | 3 | | 36 | 2 | | 37 | 2 | | 38 | 2 | | 39 | 4 | | 40 | 3 | | 41 | 11 | | 42 | 7 | | 43 | 2 | | 44 | 4 | | 45 | 18 | | 46 | 3 | | 47 | 5 | | 48 | 24 | | 49 | 24 |
| |
| 58.02% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.37037037037037035 | | totalSentences | 135 | | uniqueOpeners | 50 | |
| 92.59% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 72 | | matches | | 0 | "Then the door opened." | | 1 | "Instead, he leaned forward, elbows" |
| | ratio | 0.028 | |
| 14.44% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 72 | | matches | | 0 | "She hadn’t ordered alcohol." | | 1 | "She never did anymore." | | 2 | "Her bright blue eyes scanned" | | 3 | "She knew this place too" | | 4 | "It was refuge, yes, but" | | 5 | "He paused, scanning the room—then" | | 6 | "She turned fully on the" | | 7 | "He limped forward, his left" | | 8 | "His signet ring caught the" | | 9 | "He nodded, then gestured to" | | 10 | "She gave the barest tilt" | | 11 | "He sat, motioning to the" | | 12 | "he said finally, studying her" | | 13 | "She smiled, but it didn’t" | | 14 | "He chuckled, but it was" | | 15 | "He didn’t press." | | 16 | "Her gaze sharpened." | | 17 | "He tilted his head" | | 18 | "She caught herself, folded her" | | 19 | "She turned the glass in" |
| | ratio | 0.514 | |
| 57.22% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 72 | | matches | | 0 | "The green neon glow of" | | 1 | "The room was half-lit-shadows pooled" | | 2 | "Rory stood at the bar," | | 3 | "She hadn’t ordered alcohol." | | 4 | "She never did anymore." | | 5 | "Her bright blue eyes scanned" | | 6 | "She knew this place too" | | 7 | "It was refuge, yes, but" | | 8 | "A gust of wind snuffed" | | 9 | "A man stepped in, shaking" | | 10 | "He paused, scanning the room—then" | | 11 | "Silas said, voice low, roughened" | | 12 | "She turned fully on the" | | 13 | "He limped forward, his left" | | 14 | "His signet ring caught the" | | 15 | "He nodded, then gestured to" | | 16 | "She gave the barest tilt" | | 17 | "He sat, motioning to the" | | 18 | "The order was automatic, a" | | 19 | "he said finally, studying her" |
| | ratio | 0.806 | |
| 69.44% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 72 | | matches | | 0 | "Now, she carried silence like" |
| | ratio | 0.014 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 3 | | matches | | 0 | "The green neon glow of The Raven’s Nest pulsed softly against the damp pavement, casting long, wavering reflections in the shallow puddles that had collected al…" | | 1 | "Her bright blue eyes scanned the room absently, taking in the familiar details: the black-and-white photo of a storm-lashed Cornwall coast, the worn leather boo…" | | 2 | "He studied her—really studied her—like he was trying to reconcile the woman in front of him with the bright-eyed girl who used to argue constitutional law at mi…" |
| |
| 91.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 1 | | matches | | 0 | "Silas said, voice low, roughened by age and habit" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 60 | | tagDensity | 0.217 | | leniency | 0.433 | | rawRatio | 0.077 | | effectiveRatio | 0.033 | |