| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 40 | | adverbTagCount | 4 | | adverbTags | | 0 | "Rory stepped back [back]" | | 1 | "His amber eye glowed faintly [faintly]" | | 2 | "He smiled then [then]" | | 3 | "black eye darkened further [further]" |
| | dialogueSentences | 93 | | tagDensity | 0.43 | | leniency | 0.86 | | rawRatio | 0.1 | | effectiveRatio | 0.086 | |
| 85.95% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2135 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slowly" | | 1 | "really" | | 2 | "suddenly" | | 3 | "gently" | | 4 | "completely" |
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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) | |
| 55.50% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2135 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "stomach" | | 1 | "lilt" | | 2 | "pulse" | | 3 | "traced" | | 4 | "wavered" | | 5 | "throbbed" | | 6 | "whisper" | | 7 | "eyebrow" | | 8 | "perfect" | | 9 | "shattered" | | 10 | "vibrated" | | 11 | "silk" | | 12 | "flickered" | | 13 | "footsteps" | | 14 | "racing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 165 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 165 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 218 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2135 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 1462 | | uniqueNames | 14 | | maxNameDensity | 0.82 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Ptolemy | 5 | | Moreau | 1 | | Marseille | 1 | | Lucien | 12 | | Books | 1 | | Escape | 1 | | Long | 1 | | Heat | 1 | | Evan | 3 | | French | 2 | | Safer | 1 | | Deeper | 1 | | Cardiff | 1 | | Rory | 9 |
| | persons | | 0 | "Ptolemy" | | 1 | "Moreau" | | 2 | "Lucien" | | 3 | "Heat" | | 4 | "Evan" | | 5 | "Rory" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 106 | | glossingSentenceCount | 2 | | matches | | 0 | "emy's approval apparently counted for somethi" | | 1 | "something like ozone clung to him, demon blo" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 0.937 | | wordCount | 2135 | | matches | | 0 | "not breaking skin but promising everything" | | 1 | "not pushing him away but resting against his chest" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 218 | | matches | | 0 | "chose that moment" | | 1 | "seen that scar" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 90 | | mean | 23.72 | | std | 14.53 | | cv | 0.613 | | sampleLengths | | 0 | 6 | | 1 | 40 | | 2 | 19 | | 3 | 4 | | 4 | 50 | | 5 | 7 | | 6 | 6 | | 7 | 32 | | 8 | 20 | | 9 | 29 | | 10 | 1 | | 11 | 25 | | 12 | 5 | | 13 | 25 | | 14 | 39 | | 15 | 22 | | 16 | 27 | | 17 | 5 | | 18 | 29 | | 19 | 36 | | 20 | 3 | | 21 | 28 | | 22 | 38 | | 23 | 40 | | 24 | 5 | | 25 | 26 | | 26 | 40 | | 27 | 24 | | 28 | 34 | | 29 | 4 | | 30 | 40 | | 31 | 50 | | 32 | 35 | | 33 | 8 | | 34 | 44 | | 35 | 15 | | 36 | 5 | | 37 | 25 | | 38 | 47 | | 39 | 26 | | 40 | 16 | | 41 | 2 | | 42 | 33 | | 43 | 31 | | 44 | 4 | | 45 | 39 | | 46 | 41 | | 47 | 18 | | 48 | 41 | | 49 | 1 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 165 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 253 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 218 | | ratio | 0 | | matches | (empty) | |
| 93.28% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1468 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 70 | | adverbRatio | 0.047683923705722074 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.010899182561307902 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 218 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 218 | | mean | 9.79 | | std | 6.62 | | cv | 0.676 | | sampleLengths | | 0 | 6 | | 1 | 16 | | 2 | 24 | | 3 | 7 | | 4 | 12 | | 5 | 4 | | 6 | 16 | | 7 | 20 | | 8 | 11 | | 9 | 3 | | 10 | 7 | | 11 | 6 | | 12 | 16 | | 13 | 13 | | 14 | 3 | | 15 | 5 | | 16 | 10 | | 17 | 5 | | 18 | 16 | | 19 | 13 | | 20 | 1 | | 21 | 16 | | 22 | 9 | | 23 | 5 | | 24 | 20 | | 25 | 5 | | 26 | 14 | | 27 | 15 | | 28 | 9 | | 29 | 1 | | 30 | 10 | | 31 | 2 | | 32 | 5 | | 33 | 5 | | 34 | 5 | | 35 | 2 | | 36 | 2 | | 37 | 18 | | 38 | 5 | | 39 | 6 | | 40 | 17 | | 41 | 6 | | 42 | 12 | | 43 | 3 | | 44 | 11 | | 45 | 10 | | 46 | 3 | | 47 | 12 | | 48 | 3 | | 49 | 13 |
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| 67.58% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.43577981651376146 | | totalSentences | 218 | | uniqueOpeners | 95 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 148 | | matches | | 0 | "Always good to have options." | | 1 | "Always pulling away first." | | 2 | "Instead something hotter, more dangerous," | | 3 | "Just enough to remind her" | | 4 | "Instead she pulled him closer," |
| | ratio | 0.034 | |
| 47.03% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 64 | | totalSentences | 148 | | matches | | 0 | "She glanced at Ptolemy, who" | | 1 | "She slid the last bolt" | | 2 | "Her stomach dropped straight through" | | 3 | "His voice carried the smooth" | | 4 | "He tilted his head, studying" | | 5 | "She gripped the door harder." | | 6 | "He lifted one shoulder in" | | 7 | "He took it all in" | | 8 | "She shut the door but" | | 9 | "He turned to face her." | | 10 | "He leaned his cane against" | | 11 | "She'd once traced those fingers" | | 12 | "She moved to the tiny" | | 13 | "She filled it anyway." | | 14 | "He followed at a slower" | | 15 | "His voice dropped lower" | | 16 | "She slammed the kettle onto" | | 17 | "He said the word like" | | 18 | "Her breath caught." | | 19 | "His mouth on hers, hungry," |
| | ratio | 0.432 | |
| 37.70% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 125 | | totalSentences | 148 | | matches | | 0 | "Rory's hand froze on the" | | 1 | "The knock had come sharp," | | 2 | "She glanced at Ptolemy, who" | | 3 | "She slid the last bolt" | | 4 | "The door swung inward." | | 5 | "Lucien Moreau filled the frame" | | 6 | "Platinum hair slicked back from" | | 7 | "The ivory-handled cane rested against" | | 8 | "Her stomach dropped straight through" | | 9 | "The word left her flat" | | 10 | "His voice carried the smooth" | | 11 | "He tilted his head, studying" | | 12 | "She gripped the door harder." | | 13 | "The small crescent scar on" | | 14 | "He lifted one shoulder in" | | 15 | "Ptolemy chose that moment to" | | 16 | "Lucien glanced down, the corner" | | 17 | "Rory stepped back anyway, because" | | 18 | "Lucien crossed the threshold, his" | | 19 | "Books and scrolls covered every" |
| | ratio | 0.845 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 148 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 2 | | matches | | 0 | "Rory's hands worked at his tie, loosening the silk, pulling it free." | | 1 | "The sensible part of her, the part that had fled Cardiff and then fled him, screamed warnings about half-demons and complicated pasts and men who looked at you …" |
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| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 40 | | uselessAdditionCount | 5 | | matches | | 0 | "Lucien crossed, his presence shrinking the cramped flat even further" | | 1 | "He leaned down, lips hovering near hers" | | 2 | "She strained, not really trying to break free" | | 3 | "he growled, the fixer sliding over the lover in an instant" | | 4 | "she said, moving to stand beside him" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "he murmured (murmur)" | | 1 | "he growled (growl)" |
| | dialogueSentences | 93 | | tagDensity | 0.043 | | leniency | 0.086 | | rawRatio | 0.5 | | effectiveRatio | 0.043 | |