| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 3 | | adverbTags | | 0 | "Her voice snapped like [like]" | | 1 | "His grip tightened around [around]" | | 2 | "He leaned heavily [heavily]" |
| | dialogueSentences | 72 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.125 | | effectiveRatio | 0.083 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1451 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 58.65% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1451 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "remarkable" | | 1 | "weight" | | 2 | "loomed" | | 3 | "silence" | | 4 | "navigated" | | 5 | "calculating" | | 6 | "silk" | | 7 | "calculated" | | 8 | "stark" | | 9 | "flawless" | | 10 | "pawn" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
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| | 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 | 0 | | hedgeCount | 0 | | narrationSentences | 96 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 144 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1438 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 832 | | uniqueNames | 15 | | maxNameDensity | 1.32 | | worstName | "Lucien" | | maxWindowNameDensity | 3 | | worstWindowName | "Lucien" | | discoveredNames | | Moreau | 1 | | East | 1 | | London | 1 | | Eva | 2 | | Stacks | 1 | | Lucien | 11 | | Latin | 1 | | Brick | 1 | | Lane | 1 | | Rory | 9 | | Formica | 1 | | French | 1 | | Frenchman | 1 | | One | 3 | | Lock | 3 |
| | persons | | 0 | "Moreau" | | 1 | "Eva" | | 2 | "Lucien" | | 3 | "Rory" |
| | places | | 0 | "East" | | 1 | "London" | | 2 | "Brick" | | 3 | "Lane" | | 4 | "Formica" | | 5 | "Frenchman" |
| | globalScore | 0.839 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 75 | | 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 | 1438 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 144 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 64 | | mean | 22.47 | | std | 16.95 | | cv | 0.754 | | sampleLengths | | 0 | 38 | | 1 | 7 | | 2 | 46 | | 3 | 1 | | 4 | 14 | | 5 | 29 | | 6 | 14 | | 7 | 28 | | 8 | 1 | | 9 | 9 | | 10 | 37 | | 11 | 5 | | 12 | 62 | | 13 | 3 | | 14 | 47 | | 15 | 9 | | 16 | 52 | | 17 | 37 | | 18 | 9 | | 19 | 3 | | 20 | 38 | | 21 | 3 | | 22 | 2 | | 23 | 2 | | 24 | 24 | | 25 | 43 | | 26 | 2 | | 27 | 11 | | 28 | 20 | | 29 | 30 | | 30 | 18 | | 31 | 4 | | 32 | 66 | | 33 | 35 | | 34 | 21 | | 35 | 39 | | 36 | 32 | | 37 | 34 | | 38 | 8 | | 39 | 8 | | 40 | 1 | | 41 | 41 | | 42 | 3 | | 43 | 35 | | 44 | 22 | | 45 | 6 | | 46 | 4 | | 47 | 11 | | 48 | 39 | | 49 | 3 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 128 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 144 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 844 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 19 | | adverbRatio | 0.022511848341232227 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0035545023696682463 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 144 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 144 | | mean | 9.99 | | std | 6.21 | | cv | 0.622 | | sampleLengths | | 0 | 9 | | 1 | 3 | | 2 | 10 | | 3 | 16 | | 4 | 7 | | 5 | 10 | | 6 | 12 | | 7 | 14 | | 8 | 10 | | 9 | 1 | | 10 | 8 | | 11 | 6 | | 12 | 6 | | 13 | 3 | | 14 | 3 | | 15 | 17 | | 16 | 14 | | 17 | 15 | | 18 | 9 | | 19 | 4 | | 20 | 1 | | 21 | 9 | | 22 | 26 | | 23 | 11 | | 24 | 5 | | 25 | 3 | | 26 | 10 | | 27 | 14 | | 28 | 14 | | 29 | 8 | | 30 | 10 | | 31 | 1 | | 32 | 1 | | 33 | 1 | | 34 | 3 | | 35 | 17 | | 36 | 11 | | 37 | 10 | | 38 | 9 | | 39 | 6 | | 40 | 3 | | 41 | 14 | | 42 | 5 | | 43 | 6 | | 44 | 14 | | 45 | 13 | | 46 | 26 | | 47 | 11 | | 48 | 9 | | 49 | 3 |
| |
| 41.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.3125 | | totalSentences | 144 | | uniqueOpeners | 45 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 90 | | matches | (empty) | | ratio | 0 | |
| 82.22% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 90 | | matches | | 0 | "He leaned both hands on" | | 1 | "He looked entirely out of" | | 2 | "She gripped the edge of" | | 3 | "His gaze drifted over her" | | 4 | "He shifted his weight" | | 5 | "Her straight black hair fell" | | 6 | "He stepped forward." | | 7 | "He navigated the labyrinth of" | | 8 | "Her voice snapped like a" | | 9 | "She let out a harsh," | | 10 | "He stopped inches from her" | | 11 | "His thumb grazed her left" | | 12 | "He found the small crescent-shaped" | | 13 | "he whispered, his pitch-black eye" | | 14 | "She stared at his hand" | | 15 | "His grip tightened around her" | | 16 | "He dropped his hand to" | | 17 | "Her spine pressed into the" | | 18 | "His voice dropped, raw edges" | | 19 | "She glared up at him" |
| | ratio | 0.344 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 85 | | totalSentences | 90 | | matches | | 0 | "The heavy brass tumblers engaged" | | 1 | "Rory twisted the knob and" | | 2 | "The thick aroma of garam" | | 3 | "Lucien Moreau stood on the" | | 4 | "A bespoke charcoal suit draped" | | 5 | "He leaned both hands on" | | 6 | "The dim, flickering bulb above" | | 7 | "He looked entirely out of" | | 8 | "She gripped the edge of" | | 9 | "The wood dug into her" | | 10 | "His gaze drifted over her" | | 11 | "The heterochromatic stare pinned her" | | 12 | "He shifted his weight" | | 13 | "The sharp tip of his" | | 14 | "Her straight black hair fell" | | 15 | "He stepped forward." | | 16 | "The sheer physical presence of" | | 17 | "Heat radiated from his chest," | | 18 | "Rory released the doorframe and" | | 19 | "Lucien followed, pushing the door" |
| | ratio | 0.944 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 90 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 1 | | matches | | 0 | "Heat radiated from his chest, carrying the scent of expensive sandalwood and burning ash." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 1 | | matches | | 0 | "Lucien picked, his composure returning in an instant" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 3 | | fancyTags | | 0 | "he murmured (murmur)" | | 1 | "Her voice snapped like (snap)" | | 2 | "he whispered (whisper)" |
| | dialogueSentences | 72 | | tagDensity | 0.042 | | leniency | 0.083 | | rawRatio | 1 | | effectiveRatio | 0.083 | |