| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 86 | | tagDensity | 0.105 | | leniency | 0.209 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 82.44% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1708 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slowly" | | 1 | "slightly" | | 2 | "very" | | 3 | "really" | | 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) | |
| 67.80% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1708 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "chaotic" | | 1 | "loomed" | | 2 | "warmth" | | 3 | "throbbed" | | 4 | "unsettled" | | 5 | "pristine" | | 6 | "perfect" | | 7 | "traced" | | 8 | "intensity" | | 9 | "beacon" | | 10 | "electric" |
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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 | 1 | | narrationSentences | 113 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 113 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 190 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1701 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 1062 | | uniqueNames | 6 | | maxNameDensity | 0.85 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 1 | | London | 1 | | Lucien | 9 | | Evan | 1 | | Rory | 8 | | Ptolemy | 2 |
| | persons | | 0 | "Eva" | | 1 | "Lucien" | | 2 | "Evan" | | 3 | "Rory" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 82.43% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 74 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like surrender" | | 1 | "shadow that seemed to suck the warmth right out of the cluttered room" |
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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 | 1701 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 190 | | matches | | 0 | "hated that he" | | 1 | "Hated that he" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 111 | | mean | 15.32 | | std | 16.27 | | cv | 1.062 | | sampleLengths | | 0 | 62 | | 1 | 11 | | 2 | 57 | | 3 | 18 | | 4 | 5 | | 5 | 5 | | 6 | 21 | | 7 | 50 | | 8 | 13 | | 9 | 8 | | 10 | 49 | | 11 | 51 | | 12 | 5 | | 13 | 5 | | 14 | 2 | | 15 | 18 | | 16 | 43 | | 17 | 8 | | 18 | 5 | | 19 | 4 | | 20 | 57 | | 21 | 3 | | 22 | 4 | | 23 | 1 | | 24 | 4 | | 25 | 15 | | 26 | 33 | | 27 | 45 | | 28 | 5 | | 29 | 6 | | 30 | 35 | | 31 | 14 | | 32 | 9 | | 33 | 4 | | 34 | 25 | | 35 | 5 | | 36 | 41 | | 37 | 5 | | 38 | 2 | | 39 | 10 | | 40 | 6 | | 41 | 11 | | 42 | 37 | | 43 | 2 | | 44 | 2 | | 45 | 3 | | 46 | 3 | | 47 | 4 | | 48 | 35 | | 49 | 22 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 113 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 191 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 190 | | ratio | 0.011 | | matches | | 0 | "The scent hit her then—sandalwood, expensive tobacco, and the metallic tang that always clung to his skin." | | 1 | "The mismatched gaze—one amber, one void black—always unsettled her, stripping away her defenses faster than she could rebuild them." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1068 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 41 | | adverbRatio | 0.03838951310861423 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.006554307116104869 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 190 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 190 | | mean | 8.95 | | std | 6.52 | | cv | 0.728 | | sampleLengths | | 0 | 12 | | 1 | 27 | | 2 | 13 | | 3 | 10 | | 4 | 11 | | 5 | 5 | | 6 | 17 | | 7 | 21 | | 8 | 14 | | 9 | 2 | | 10 | 16 | | 11 | 5 | | 12 | 5 | | 13 | 3 | | 14 | 18 | | 15 | 4 | | 16 | 17 | | 17 | 6 | | 18 | 23 | | 19 | 13 | | 20 | 8 | | 21 | 9 | | 22 | 15 | | 23 | 7 | | 24 | 18 | | 25 | 10 | | 26 | 18 | | 27 | 23 | | 28 | 5 | | 29 | 5 | | 30 | 2 | | 31 | 5 | | 32 | 13 | | 33 | 6 | | 34 | 5 | | 35 | 19 | | 36 | 13 | | 37 | 8 | | 38 | 5 | | 39 | 4 | | 40 | 9 | | 41 | 16 | | 42 | 5 | | 43 | 5 | | 44 | 2 | | 45 | 20 | | 46 | 3 | | 47 | 4 | | 48 | 1 | | 49 | 4 |
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| 43.68% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.28421052631578947 | | totalSentences | 190 | | uniqueOpeners | 54 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 102 | | matches | (empty) | | ratio | 0 | |
| 0.39% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 56 | | totalSentences | 102 | | matches | | 0 | "She threw the locks open" | | 1 | "His platinum hair was plastered" | | 2 | "Her heart hammered against her" | | 3 | "She stepped aside." | | 4 | "He moved past her." | | 5 | "He brought the London night" | | 6 | "She leaned back against the" | | 7 | "He stopped in the centre" | | 8 | "His eyes locked onto hers." | | 9 | "He unbuttoned his coat, revealing" | | 10 | "He placed the cane against" | | 11 | "He looked too perfect here." | | 12 | "He arched a brow." | | 13 | "He ran a finger along" | | 14 | "She followed him, keeping a" | | 15 | "His hand dropped from the" | | 16 | "She hated that he knew" | | 17 | "He turned to face her." | | 18 | "He took a step closer." | | 19 | "He didn't touch her, just" |
| | ratio | 0.549 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 97 | | totalSentences | 102 | | matches | | 0 | "The three deadbolts slid back" | | 1 | "Rain drummed a relentless, chaotic" | | 2 | "Rory checked the peephole, the" | | 3 | "She threw the locks open" | | 4 | "Air rushed out, carrying the" | | 5 | "Lucien stood on the landing." | | 6 | "Water dripped from the hem" | | 7 | "His platinum hair was plastered" | | 8 | "The ivory handle of his" | | 9 | "Her heart hammered against her" | | 10 | "She stepped aside." | | 11 | "He moved past her." | | 12 | "The scent hit her then—sandalwood," | | 13 | "A hint of sulfur, buried" | | 14 | "He brought the London night" | | 15 | "She leaned back against the" | | 16 | "The small crescent scar on" | | 17 | "Lucien ignored the invitation to" | | 18 | "He stopped in the centre" | | 19 | "Stacks of books towered over" |
| | ratio | 0.951 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 102 | | matches | (empty) | | ratio | 0 | |
| 79.37% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 4 | | matches | | 0 | "Her heart hammered against her ribs, a traitorous rhythm that had nothing to do with surprise." | | 1 | "It brushed her shoulder, a feather-light contact that seared through her t-shirt." | | 2 | "The contact was electric, a jolt that sparked memories she had spent three months trying to drown in cheap lager and late shifts." | | 3 | "A genuine, crooked thing that transformed his face from a mask of cold elegance into something boyish and dangerous." |
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| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 1 | | matches | | 0 | "He stood up, the chair scraping loudly against the floor" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | 0 | "he whispered (whisper)" |
| | dialogueSentences | 86 | | tagDensity | 0.047 | | leniency | 0.093 | | rawRatio | 0.25 | | effectiveRatio | 0.023 | |