| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 2 | | adverbTags | | 0 | "He looked faintly [faintly]" | | 1 | "she said quietly [quietly]" |
| | dialogueSentences | 41 | | tagDensity | 0.463 | | leniency | 0.927 | | rawRatio | 0.105 | | effectiveRatio | 0.098 | |
| 90.77% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1084 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 81.55% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1084 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "coded" | | 1 | "charm" | | 2 | "whisper" | | 3 | "silence" |
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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 | 47 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 47 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 68 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 51 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1094 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 593 | | uniqueNames | 7 | | maxNameDensity | 0.84 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Silas | 1 | | Moreau | 1 | | London | 1 | | Lucien | 5 | | Golden | 1 | | Empress | 1 | | Rory | 3 |
| | persons | | 0 | "Silas" | | 1 | "Moreau" | | 2 | "Lucien" | | 3 | "Rory" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 32 | | 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 | 1094 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 68 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 30.39 | | std | 18.57 | | cv | 0.611 | | sampleLengths | | 0 | 25 | | 1 | 49 | | 2 | 3 | | 3 | 32 | | 4 | 11 | | 5 | 35 | | 6 | 55 | | 7 | 5 | | 8 | 24 | | 9 | 53 | | 10 | 41 | | 11 | 35 | | 12 | 15 | | 13 | 81 | | 14 | 33 | | 15 | 25 | | 16 | 66 | | 17 | 12 | | 18 | 38 | | 19 | 50 | | 20 | 8 | | 21 | 37 | | 22 | 4 | | 23 | 38 | | 24 | 18 | | 25 | 16 | | 26 | 37 | | 27 | 37 | | 28 | 29 | | 29 | 40 | | 30 | 16 | | 31 | 43 | | 32 | 18 | | 33 | 4 | | 34 | 8 | | 35 | 53 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 47 | | matches | (empty) | |
| 29.06% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 117 | | matches | | 0 | "was, filling" | | 1 | "was doing" | | 2 | "was working" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 68 | | ratio | 0.103 | | matches | | 0 | "He stepped past her into the flat — small, cluttered, smelling faintly of the curry drifting up from the Golden Empress below — and set his cane against the wall with the care of a man laying down a weapon he didn't fully trust himself to keep." | | 1 | "\"Fair.\" He turned, and for a moment the polish cracked — something tired underneath, something that hadn't slept." | | 2 | "Rory looked at him — really looked." | | 3 | "\"I know.\" He reached out — slow, telegraphed, giving her every chance to step back — and lifted her left wrist, his thumb brushing the small crescent scar she'd had since she was nine." | | 4 | "She pulled her wrist back — not away, just back, cradling it like the touch had left a mark." | | 5 | "Behind her, silence — Lucien never fidgeted, never filled space." | | 6 | "She looked up into the mismatched eyes — one that had seen the daylight world and one that had never left the dark — and felt the old ache and the old want sitting side by side in her chest, indistinguishable at last." |
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| 99.91% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 547 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.038391224862888484 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.02010968921389397 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 68 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 68 | | mean | 16.09 | | std | 12.12 | | cv | 0.754 | | sampleLengths | | 0 | 3 | | 1 | 13 | | 2 | 9 | | 3 | 49 | | 4 | 3 | | 5 | 19 | | 6 | 13 | | 7 | 11 | | 8 | 12 | | 9 | 6 | | 10 | 8 | | 11 | 9 | | 12 | 47 | | 13 | 8 | | 14 | 5 | | 15 | 5 | | 16 | 19 | | 17 | 18 | | 18 | 35 | | 19 | 6 | | 20 | 22 | | 21 | 1 | | 22 | 12 | | 23 | 25 | | 24 | 10 | | 25 | 15 | | 26 | 51 | | 27 | 30 | | 28 | 7 | | 29 | 12 | | 30 | 14 | | 31 | 8 | | 32 | 17 | | 33 | 21 | | 34 | 14 | | 35 | 31 | | 36 | 6 | | 37 | 6 | | 38 | 16 | | 39 | 22 | | 40 | 34 | | 41 | 16 | | 42 | 8 | | 43 | 18 | | 44 | 19 | | 45 | 4 | | 46 | 38 | | 47 | 18 | | 48 | 5 | | 49 | 11 |
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| 67.65% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.4852941176470588 | | totalSentences | 68 | | uniqueOpeners | 33 | |
| 85.47% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 39 | | matches | | 0 | "Then his hand was over" |
| | ratio | 0.026 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 39 | | matches | | 0 | "He looked faintly amused, as" | | 1 | "He never had to charm" | | 2 | "He simply waited, and her" | | 3 | "He stepped past her into" | | 4 | "She crossed her arms" | | 5 | "He turned, and for a" | | 6 | "Her heart was doing something" | | 7 | "It came out sharper than" | | 8 | "He took a breath" | | 9 | "His left hand, the one" | | 10 | "she said quietly" | | 11 | "He crossed the small room," | | 12 | "she said, but her voice" | | 13 | "He reached out — slow," | | 14 | "She pulled her wrist back" | | 15 | "He said it flatly, like" | | 16 | "He let it hold." | | 17 | "she said to the window" | | 18 | "She didn't move to lift" | | 19 | "She looked up into the" |
| | ratio | 0.564 | |
| 24.10% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 34 | | totalSentences | 39 | | matches | | 0 | "Lucien Moreau knocked like a" | | 1 | "Rory opened the door with" | | 2 | "He looked faintly amused, as" | | 3 | "The chain slid free before" | | 4 | "That was the trouble with" | | 5 | "He never had to charm" | | 6 | "He simply waited, and her" | | 7 | "He stepped past her into" | | 8 | "She crossed her arms" | | 9 | "He turned, and for a" | | 10 | "Her heart was doing something" | | 11 | "Lucien's voice was low, even," | | 12 | "It came out sharper than" | | 13 | "He took a breath" | | 14 | "Rory looked at him —" | | 15 | "The suit was immaculate but" | | 16 | "His left hand, the one" | | 17 | "she said quietly" | | 18 | "He crossed the small room," | | 19 | "The rain ticked against the" |
| | ratio | 0.872 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 39 | | matches | (empty) | | ratio | 0 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 12 | | technicalSentenceCount | 1 | | matches | | 0 | "Rory opened the door with the chain still on, and there he was, filling the landing in a charcoal suit that had no business surviving London rain, silver-blond …" |
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| 98.68% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, but her voice had gone unsteady" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 41 | | tagDensity | 0.268 | | leniency | 0.537 | | rawRatio | 0.091 | | effectiveRatio | 0.049 | |