| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "She laughed again [again]" |
| | dialogueSentences | 100 | | tagDensity | 0.12 | | leniency | 0.24 | | rawRatio | 0.083 | | effectiveRatio | 0.02 | |
| 93.07% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2165 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "very" | | 1 | "slowly" | | 2 | "sharply" |
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| 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) | |
| 67.67% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2165 | | totalAiIsms | 14 | | found | | 0 | | | 1 | | | 2 | | word | "the last thing" | | count | 1 |
| | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | |
| | highlights | | 0 | "flicked" | | 1 | "silence" | | 2 | "the last thing" | | 3 | "tenderness" | | 4 | "chill" | | 5 | "traced" | | 6 | "measured" | | 7 | "pulse" | | 8 | "flicker" | | 9 | "stomach" | | 10 | "familiar" | | 11 | "treacherous" |
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| 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 | 162 | | matches | (empty) | |
| 98.77% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 2 | | narrationSentences | 162 | | filterMatches | | | hedgeMatches | | 0 | "started to" | | 1 | "seemed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 250 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2165 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 82.93% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 48 | | wordCount | 1491 | | uniqueNames | 11 | | maxNameDensity | 1.34 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Aurora | 14 | | Lucien | 20 | | Moreau | 2 | | London | 1 | | Golden | 1 | | Empress | 1 | | Ptolemy | 5 | | Silence | 1 | | Islington | 1 | | Camden | 1 | | Eva | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Lucien" | | 2 | "Moreau" | | 3 | "Ptolemy" | | 4 | "Silence" | | 5 | "Eva" |
| | places | | 0 | "London" | | 1 | "Golden" | | 2 | "Islington" | | 3 | "Camden" |
| | globalScore | 0.829 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 101 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like it always did, cramped and cr" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 2165 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 250 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 146 | | mean | 14.83 | | std | 14.67 | | cv | 0.989 | | sampleLengths | | 0 | 27 | | 1 | 38 | | 2 | 5 | | 3 | 2 | | 4 | 6 | | 5 | 8 | | 6 | 45 | | 7 | 3 | | 8 | 5 | | 9 | 3 | | 10 | 21 | | 11 | 9 | | 12 | 64 | | 13 | 13 | | 14 | 12 | | 15 | 4 | | 16 | 8 | | 17 | 26 | | 18 | 13 | | 19 | 6 | | 20 | 12 | | 21 | 5 | | 22 | 37 | | 23 | 4 | | 24 | 5 | | 25 | 4 | | 26 | 15 | | 27 | 47 | | 28 | 38 | | 29 | 19 | | 30 | 8 | | 31 | 8 | | 32 | 19 | | 33 | 9 | | 34 | 7 | | 35 | 16 | | 36 | 5 | | 37 | 5 | | 38 | 2 | | 39 | 6 | | 40 | 11 | | 41 | 14 | | 42 | 13 | | 43 | 9 | | 44 | 9 | | 45 | 1 | | 46 | 7 | | 47 | 40 | | 48 | 16 | | 49 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 162 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 248 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 250 | | ratio | 0 | | matches | (empty) | |
| 97.52% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1494 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 64 | | adverbRatio | 0.0428380187416332 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.008701472556894244 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 250 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 250 | | mean | 8.66 | | std | 7.53 | | cv | 0.869 | | sampleLengths | | 0 | 27 | | 1 | 7 | | 2 | 8 | | 3 | 23 | | 4 | 5 | | 5 | 2 | | 6 | 6 | | 7 | 8 | | 8 | 8 | | 9 | 12 | | 10 | 7 | | 11 | 18 | | 12 | 3 | | 13 | 5 | | 14 | 3 | | 15 | 8 | | 16 | 13 | | 17 | 5 | | 18 | 4 | | 19 | 43 | | 20 | 21 | | 21 | 13 | | 22 | 12 | | 23 | 4 | | 24 | 8 | | 25 | 10 | | 26 | 5 | | 27 | 5 | | 28 | 6 | | 29 | 13 | | 30 | 6 | | 31 | 7 | | 32 | 5 | | 33 | 5 | | 34 | 11 | | 35 | 19 | | 36 | 2 | | 37 | 2 | | 38 | 3 | | 39 | 4 | | 40 | 5 | | 41 | 4 | | 42 | 15 | | 43 | 8 | | 44 | 39 | | 45 | 11 | | 46 | 27 | | 47 | 19 | | 48 | 8 | | 49 | 8 |
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| 40.80% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 23 | | diversityRatio | 0.276 | | totalSentences | 250 | | uniqueOpeners | 69 | |
| 95.24% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 140 | | matches | | 0 | "Instead she stepped back just" | | 1 | "Just thick white stock, edged" | | 2 | "Just enough for his gaze" | | 3 | "Then a fist, heavy and" |
| | ratio | 0.029 | |
| 17.14% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 71 | | totalSentences | 140 | | matches | | 0 | "His ivory cane rested against" | | 1 | "His platinum hair gleamed under" | | 2 | "She did not step aside." | | 3 | "His gaze lifted to hers" | | 4 | "He had only sharpened." | | 5 | "Her life, in its usual" | | 6 | "She stared at him until" | | 7 | "He never liked being ignored." | | 8 | "It had once made her" | | 9 | "He tipped his head" | | 10 | "She nearly told him to" | | 11 | "He entered without haste, cane" | | 12 | "He smelled faintly of bergamot," | | 13 | "He stopped near the kitchen" | | 14 | "His smile flashed, brief and" | | 15 | "It changed his face in" | | 16 | "He set the cane against" | | 17 | "His amber eye tracked hers," | | 18 | "Her fingers tightened against her" | | 19 | "She kept her voice level" |
| | ratio | 0.507 | |
| 6.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 127 | | totalSentences | 140 | | matches | | 0 | "The second deadbolt had barely" | | 1 | "His ivory cane rested against" | | 2 | "His platinum hair gleamed under" | | 3 | "She did not step aside." | | 4 | "Lucien's mouth curved, slow and" | | 5 | "Aurora kept one hand on" | | 6 | "The other still gripped the" | | 7 | "That felt too much like" | | 8 | "Ptolemy brushed his body against" | | 9 | "Lucien glanced down." | | 10 | "His gaze lifted to hers" | | 11 | "The bastard had not changed." | | 12 | "He had only sharpened." | | 13 | "Her life, in its usual" | | 14 | "Lucien's eyes flicked over the" | | 15 | "She stared at him until" | | 16 | "He never liked being ignored." | | 17 | "That had once amused her." | | 18 | "It had once made her" | | 19 | "He tipped his head" |
| | ratio | 0.907 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 140 | | matches | | 0 | "Now it made her want" | | 1 | "To the landing." | | 2 | "To something not yet visible." |
| | ratio | 0.021 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 3 | | matches | | 0 | "He had used it once in a kitchen full of smoke and wine, his mouth grazing the shell of her ear while he said he had no interest in women who could outthink him…" | | 1 | "His fingers closed around it with measured care, as if he understood how close she stood to tearing something vital out of him." | | 2 | "She remembered the heat in her eyes, the shaking in her hands, the shame that had made her furious." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "she repeated (repeat)" | | 1 | "She laughed again (laugh)" |
| | dialogueSentences | 100 | | tagDensity | 0.05 | | leniency | 0.1 | | rawRatio | 0.4 | | effectiveRatio | 0.04 | |