| 57.14% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 5 | | adverbTags | | 0 | "He knocked back [back]" | | 1 | "Marcus said finally [finally]" | | 2 | "she said quietly [quietly]" | | 3 | "she said finally [finally]" | | 4 | "he agreed quietly [quietly]" |
| | dialogueSentences | 70 | | tagDensity | 0.329 | | leniency | 0.657 | | rawRatio | 0.217 | | effectiveRatio | 0.143 | |
| 82.13% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1399 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slowly" | | 1 | "very" | | 2 | "quickly" | | 3 | "really" |
| |
| 80.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 42.82% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1399 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "familiar" | | 1 | "intensity" | | 2 | "weight" | | 3 | "flicked" | | 4 | "traced" | | 5 | "calculated" | | 6 | "tracing" | | 7 | "flicker" | | 8 | "silence" | | 9 | "tension" | | 10 | "comfortable" | | 11 | "implication" | | 12 | "unsettled" |
| |
| 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 | 86 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 86 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 136 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1382 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 20 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 55 | | wordCount | 964 | | uniqueNames | 16 | | maxNameDensity | 2.28 | | worstName | "Marcus" | | maxWindowNameDensity | 4 | | worstWindowName | "Marcus" | | discoveredNames | | Rory | 9 | | Marcus | 22 | | Webb | 1 | | Raven | 2 | | Nest | 2 | | Silas | 5 | | Shakespeare | 1 | | English | 1 | | Cardiff | 2 | | Evan | 3 | | London | 2 | | Recognition | 1 | | River | 1 | | Taff | 1 | | Carter | 1 | | Victorian | 1 |
| | persons | | 0 | "Rory" | | 1 | "Marcus" | | 2 | "Webb" | | 3 | "Raven" | | 4 | "Nest" | | 5 | "Silas" | | 6 | "Shakespeare" | | 7 | "Evan" | | 8 | "Recognition" | | 9 | "Carter" |
| | places | | 0 | "Cardiff" | | 1 | "London" | | 2 | "River" | | 3 | "Taff" |
| | globalScore | 0.359 | | windowScore | 0.333 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 6 | | matches | | 0 | "as if carrying invisible weight" | | 1 | "as if filing the information" | | 2 | "looked like" | | 3 | "seemed carved from harder material, all sharp angles and careful words" | | 4 | "felt like surrender, and something in R" | | 5 | "as if trying to read some hidden message" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.724 | | wordCount | 1382 | | matches | | 0 | "neither entirely wrong nor" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 136 | | matches | | 0 | "wearing that suit" | | 1 | "possessed that quality" |
| |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 74 | | mean | 18.68 | | std | 15.92 | | cv | 0.852 | | sampleLengths | | 0 | 45 | | 1 | 68 | | 2 | 17 | | 3 | 41 | | 4 | 47 | | 5 | 14 | | 6 | 18 | | 7 | 3 | | 8 | 10 | | 9 | 30 | | 10 | 8 | | 11 | 33 | | 12 | 12 | | 13 | 15 | | 14 | 10 | | 15 | 9 | | 16 | 44 | | 17 | 23 | | 18 | 2 | | 19 | 13 | | 20 | 10 | | 21 | 33 | | 22 | 41 | | 23 | 15 | | 24 | 5 | | 25 | 16 | | 26 | 29 | | 27 | 6 | | 28 | 2 | | 29 | 5 | | 30 | 13 | | 31 | 6 | | 32 | 8 | | 33 | 62 | | 34 | 13 | | 35 | 14 | | 36 | 37 | | 37 | 5 | | 38 | 13 | | 39 | 6 | | 40 | 3 | | 41 | 41 | | 42 | 6 | | 43 | 20 | | 44 | 17 | | 45 | 4 | | 46 | 2 | | 47 | 30 | | 48 | 10 | | 49 | 1 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 86 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 182 | | matches | | |
| 16.81% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 136 | | ratio | 0.044 | | matches | | 0 | "Twenty-five years of living hadn't prepared her for this moment—seeing Marcus Webb in The Raven's Nest, of all places." | | 1 | "This man bore only traces of that teenager—his hair now cropped military-short, his shoulders broader but somehow diminished, as if carrying invisible weight." | | 2 | "He shifted two stools closer, leaving one empty between them—close enough to talk, far enough to flee." | | 3 | "Rory had changed—London had stripped away Cardiff's naive edges, replaced them with wariness and quick reflexes." | | 4 | "The Raven's Nest attracted a particular clientele—people who valued privacy and asked few questions." | | 5 | "Marcus had always possessed that quality—the ability to cut through complexity and find the simple truth underneath." |
| |
| 96.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 359 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.04456824512534819 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.008356545961002786 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 136 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 136 | | mean | 10.16 | | std | 6.85 | | cv | 0.675 | | sampleLengths | | 0 | 26 | | 1 | 19 | | 2 | 29 | | 3 | 16 | | 4 | 23 | | 5 | 17 | | 6 | 23 | | 7 | 18 | | 8 | 12 | | 9 | 2 | | 10 | 21 | | 11 | 12 | | 12 | 14 | | 13 | 10 | | 14 | 8 | | 15 | 3 | | 16 | 7 | | 17 | 3 | | 18 | 17 | | 19 | 13 | | 20 | 7 | | 21 | 1 | | 22 | 24 | | 23 | 9 | | 24 | 10 | | 25 | 2 | | 26 | 15 | | 27 | 9 | | 28 | 1 | | 29 | 9 | | 30 | 4 | | 31 | 21 | | 32 | 19 | | 33 | 9 | | 34 | 14 | | 35 | 2 | | 36 | 9 | | 37 | 4 | | 38 | 10 | | 39 | 11 | | 40 | 22 | | 41 | 16 | | 42 | 13 | | 43 | 12 | | 44 | 5 | | 45 | 10 | | 46 | 5 | | 47 | 11 | | 48 | 5 | | 49 | 17 |
| |
| 80.39% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5 | | totalSentences | 136 | | uniqueOpeners | 68 | |
| 42.19% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 79 | | matches | | 0 | "Slowly, he returned the money" |
| | ratio | 0.013 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 79 | | matches | | 0 | "He hadn't noticed her yet," | | 1 | "She raised her glass in" | | 2 | "He shifted two stools closer," | | 3 | "He paused, studying her face" | | 4 | "She kept her tone light," | | 5 | "He knocked back half his" | | 6 | "He nodded as if filing" | | 7 | "He didn't press, though she" | | 8 | "They'd sat by the River" | | 9 | "He'd kissed her then, soft" | | 10 | "she said quietly" | | 11 | "He drained his glass, signalled" | | 12 | "He took a smaller sip" | | 13 | "She finished her pint, debated" | | 14 | "She traced patterns on the" | | 15 | "She met his gaze directly" | | 16 | "She'd wanted him to argue," | | 17 | "he said, reaching for his" | | 18 | "she said finally" | | 19 | "he agreed quietly" |
| | ratio | 0.253 | |
| 54.94% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 79 | | matches | | 0 | "The amber liquid caught the" | | 1 | "He hadn't noticed her yet," | | 2 | "The boy she'd known had" | | 3 | "This man bore only traces" | | 4 | "Silas poured without comment, though" | | 5 | "The barman set the glass" | | 6 | "Rory traced the rim of" | | 7 | "Marcus had tried calling then," | | 8 | "The words escaped before she" | | 9 | "Recognition dawned slowly, like sunrise" | | 10 | "She raised her glass in" | | 11 | "He shifted two stools closer," | | 12 | "The gesture struck her as" | | 13 | "He paused, studying her face" | | 14 | "She kept her tone light," | | 15 | "Marcus glanced down at his" | | 16 | "He knocked back half his" | | 17 | "The lie came easily." | | 18 | "Marcus had always been too" | | 19 | "He nodded as if filing" |
| | ratio | 0.81 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 79 | | matches | | 0 | "Because seven years was too" | | 1 | "Because the boy who'd kissed" | | 2 | "Because she'd spent seven years" |
| | ratio | 0.038 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 9 | | matches | | 0 | "This man bore only traces of that teenager—his hair now cropped military-short, his shoulders broader but somehow diminished, as if carrying invisible weight." | | 1 | "Silas poured without comment, though his hazel eyes flicked toward Rory with the subtle awareness of a man who'd spent decades reading rooms." | | 2 | "The Marcus she'd known would have pushed, would have demanded explanations with the relentless logic that made him brilliant at debate club." | | 3 | "The something had been Evan's fist connecting with her ribs, but that wasn't a story for sharing." | | 4 | "The boy she'd known had possessed an easy confidence, quick wit that could defuse any tension." | | 5 | "But somewhere underneath remained the girl who'd loved Victorian poetry and dreamed of courtrooms." | | 6 | "Marcus hesitated, and in that pause she glimpsed the boy who'd agonised over choosing words for the school magazine." | | 7 | "Rory glanced toward Silas, who was studiously avoiding their conversation while somehow remaining aware of every word." | | 8 | "The Raven's Nest attracted a particular clientele—people who valued privacy and asked few questions." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 1 | | matches | | 0 | "She kept, but her fingers found the small scar on her wrist, thumb tracing the familiar crescent" |
| |
| 92.86% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 4 | | fancyTags | | 0 | "No need to mention the part-time nature of it (mention)" | | 1 | "He didn't (do)" | | 2 | "she admitted (admit)" | | 3 | "he agreed quietly (agree)" |
| | dialogueSentences | 70 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0.4 | | effectiveRatio | 0.114 | |