| 94.74% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 2 | | adverbTags | | 0 | "he said quietly [quietly]" | | 1 | "he said suddenly [suddenly]" |
| | dialogueSentences | 38 | | tagDensity | 0.474 | | leniency | 0.947 | | rawRatio | 0.111 | | effectiveRatio | 0.105 | |
| 87.86% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2060 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slowly" | | 1 | "suddenly" | | 2 | "completely" | | 3 | "truly" |
| |
| 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) | |
| 70.87% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2060 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "weight" | | 1 | "reminder" | | 2 | "flicked" | | 3 | "fractured" | | 4 | "familiar" | | 5 | "traced" | | 6 | "silence" |
| |
| 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 | 130 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 130 | | filterMatches | (empty) | | 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 | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2052 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 20 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 1522 | | uniqueNames | 14 | | maxNameDensity | 0.72 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Soho | 1 | | Aurora | 11 | | Carter | 1 | | London | 1 | | Golden | 1 | | Empress | 1 | | Blackwood | 1 | | Silas | 11 | | Cardiff | 2 | | Malphora | 1 | | Yu-Fei | 1 | | Cheung | 1 |
| | persons | | 0 | "Raven" | | 1 | "Aurora" | | 2 | "Carter" | | 3 | "Blackwood" | | 4 | "Silas" | | 5 | "Yu-Fei" | | 6 | "Cheung" |
| | places | | 0 | "Soho" | | 1 | "London" | | 2 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 70.21% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 94 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like a bruise" | | 1 | "as though trespassing on the last piece of the man she remembered" | | 2 | "felt like hiding in plain sight" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 2052 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 150 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 38 | | std | 25.19 | | cv | 0.663 | | sampleLengths | | 0 | 94 | | 1 | 89 | | 2 | 69 | | 3 | 91 | | 4 | 3 | | 5 | 35 | | 6 | 21 | | 7 | 22 | | 8 | 62 | | 9 | 16 | | 10 | 5 | | 11 | 45 | | 12 | 12 | | 13 | 11 | | 14 | 111 | | 15 | 7 | | 16 | 4 | | 17 | 36 | | 18 | 32 | | 19 | 22 | | 20 | 71 | | 21 | 11 | | 22 | 32 | | 23 | 75 | | 24 | 46 | | 25 | 65 | | 26 | 13 | | 27 | 25 | | 28 | 44 | | 29 | 47 | | 30 | 41 | | 31 | 16 | | 32 | 31 | | 33 | 51 | | 34 | 36 | | 35 | 57 | | 36 | 22 | | 37 | 28 | | 38 | 12 | | 39 | 27 | | 40 | 65 | | 41 | 44 | | 42 | 49 | | 43 | 23 | | 44 | 15 | | 45 | 40 | | 46 | 65 | | 47 | 34 | | 48 | 9 | | 49 | 26 |
| |
| 94.47% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 130 | | matches | | 0 | "been seventeen" | | 1 | "was practiced" | | 2 | "been tempered" | | 3 | "been named" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 260 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 1 | | flaggedSentences | 8 | | totalSentences | 150 | | ratio | 0.053 | | matches | | 0 | "Old maps papered the walls, their creases darkened by years of cigarette smoke and spilled ale, while black-and-white photographs watched from between them—men in fedoras and women in sharp suits, all caught mid-stride toward destinations long forgotten." | | 1 | "When he stepped sideways to reach for a bottle, the limp in his left leg announced itself plainly—a hitch, a pause, the old knee injury announcing every shift of weight." | | 2 | "He had told her stories that were never quite stories—riddles, patterns, ways of seeing the world that rewarded the quick and the curious." | | 3 | "Aurora remembered the rumors that had reached her even in Cardiff—the botched extraction, the bullet that should have killed him, the agency’s quiet decision that a crippled field agent was a liability." | | 4 | "The childhood accident—falling on a broken bottle during a family picnic—had seemed the worst thing that could happen to her then." | | 5 | "Aurora looked at him—truly looked." | | 6 | "Regret did not need language; it simply sat at the bar with them, drinking their whiskey and breathing their air." | | 7 | "They spoke of smaller things after that—her favorite route through the city, the way the maps on the wall reminded her of her father’s study, the name Yu-Fei Cheung had given her favorite order." |
| |
| 98.04% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1539 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 65 | | adverbRatio | 0.04223521767381416 | | lyAdverbCount | 21 | | lyAdverbRatio | 0.01364522417153996 | |
| 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 | 13.68 | | std | 9.52 | | cv | 0.696 | | sampleLengths | | 0 | 27 | | 1 | 36 | | 2 | 28 | | 3 | 3 | | 4 | 5 | | 5 | 9 | | 6 | 37 | | 7 | 17 | | 8 | 21 | | 9 | 8 | | 10 | 27 | | 11 | 14 | | 12 | 20 | | 13 | 8 | | 14 | 12 | | 15 | 24 | | 16 | 30 | | 17 | 17 | | 18 | 3 | | 19 | 4 | | 20 | 12 | | 21 | 6 | | 22 | 13 | | 23 | 3 | | 24 | 18 | | 25 | 6 | | 26 | 16 | | 27 | 5 | | 28 | 16 | | 29 | 17 | | 30 | 24 | | 31 | 6 | | 32 | 10 | | 33 | 5 | | 34 | 6 | | 35 | 5 | | 36 | 19 | | 37 | 7 | | 38 | 8 | | 39 | 12 | | 40 | 2 | | 41 | 9 | | 42 | 9 | | 43 | 18 | | 44 | 16 | | 45 | 15 | | 46 | 23 | | 47 | 6 | | 48 | 24 | | 49 | 7 |
| |
| 47.11% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.32666666666666666 | | totalSentences | 150 | | uniqueOpeners | 49 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 118 | | matches | | 0 | "Then recognition struck, swift and" | | 1 | "Instead he folded the towel" | | 2 | "Instead they landed soft, like" | | 3 | "Only the hum of the" |
| | ratio | 0.034 | |
| 91.19% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 118 | | matches | | 0 | "She had lived in the" | | 1 | "She pushed inside." | | 2 | "Her straight black hair, cut" | | 3 | "She kept her left wrist" | | 4 | "His hand stilled on the" | | 5 | "She managed a small, tight" | | 6 | "He did not smile back." | | 7 | "he said quietly" | | 8 | "He gestured to a stool." | | 9 | "He slid one glass across" | | 10 | "he said, raising his own" | | 11 | "She had been seventeen, still" | | 12 | "He had been forty-nine then," | | 13 | "He had told her stories" | | 14 | "She had been good at" | | 15 | "He had called her Malphora" | | 16 | "His gaze flicked to the" | | 17 | "She turned the glass in" | | 18 | "She shrugged, the motion too" | | 19 | "He lifted the leg with" |
| | ratio | 0.322 | |
| 74.41% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 91 | | totalSentences | 118 | | matches | | 0 | "The green neon sign above" | | 1 | "She had lived in the" | | 2 | "The weight of another silent" | | 3 | "She pushed inside." | | 4 | "The bar swallowed her immediately." | | 5 | "The air tasted of malt," | | 6 | "Aurora’s bright blue eyes moved" | | 7 | "Her straight black hair, cut" | | 8 | "She kept her left wrist" | | 9 | "The silver signet ring on" | | 10 | "Aurora’s breath caught." | | 11 | "Silas Blackwood looked up." | | 12 | "His hand stilled on the" | | 13 | "The name came out rough," | | 14 | "She managed a small, tight" | | 15 | "He did not smile back." | | 16 | "The limp made his approach" | | 17 | "he said quietly" | | 18 | "Silas nodded once, accepting the" | | 19 | "He gestured to a stool." |
| | ratio | 0.771 | |
| 42.37% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 118 | | matches | | 0 | "Now the joke felt like" |
| | ratio | 0.008 | |
| 50.26% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 7 | | matches | | 0 | "A few patrons hunched over their drinks, speaking in the low, careful tones of people who had nowhere else to be." | | 1 | "Aurora remembered the rumors that had reached her even in Cardiff—the botched extraction, the bullet that should have killed him, the agency’s quiet decision th…" | | 2 | "She had closed it again without stepping inside, as though trespassing on the last piece of the man she remembered." | | 3 | "The grey in his beard, the limp he tried to disguise even now, the way his shoulders carried the memory of a life spent watching for threats that had finally fo…" | | 4 | "She saw the man who had once made her believe the world could be understood, reduced to pouring drinks for strangers and keeping secrets in a hidden room." | | 5 | "Outside the neon sign continued its patient flickering, green light washing over the street like a question that had no easy answer." | | 6 | "Below, she could just make out Silas moving behind the bar, putting glasses away with the careful movements of a man who had learned the cost of haste." |
| |
| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 2 | | matches | | 0 | "She shrugged, the motion too sharp" | | 1 | "He turned, the silver catching the light" |
| |
| 97.37% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 2 | | fancyTags | | 0 | "he admitted (admit)" | | 1 | "she observed (observe)" |
| | dialogueSentences | 38 | | tagDensity | 0.342 | | leniency | 0.684 | | rawRatio | 0.154 | | effectiveRatio | 0.105 | |