| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 25 | | adverbTagCount | 2 | | adverbTags | | 0 | "he said quietly [quietly]" | | 1 | "she said finally [finally]" |
| | dialogueSentences | 55 | | tagDensity | 0.455 | | leniency | 0.909 | | rawRatio | 0.08 | | effectiveRatio | 0.073 | |
| 86.10% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1439 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "softly" | | 1 | "very" | | 2 | "carefully" | | 3 | "gently" |
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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) | |
| 72.20% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1439 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "measured" | | 1 | "gleaming" | | 2 | "treacherous" | | 3 | "flicker" | | 4 | "silence" | | 5 | "dancing" | | 6 | "constructed" |
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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 | 85 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 85 | | filterMatches | | | hedgeMatches | (empty) | |
| 97.35% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 113 | | gibberishSentences | 1 | | adjustedGibberishSentences | 1 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 1 | | maxSentenceWordsSeen | 63 | | ratio | 0.009 | | matches | | 0 | "\"I lied because you were looking at me like I mattered, and no one looks at me like that, Rory. People look at me like I'm useful. Like I'm dangerous. You looked at me like I was a…" |
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| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1453 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 26 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 12 | | wordCount | 903 | | uniqueNames | 7 | | maxNameDensity | 0.55 | | worstName | "Lucien" | | maxWindowNameDensity | 1 | | worstWindowName | "Yu-Fei" | | discoveredNames | | Aurora | 1 | | Moreau | 1 | | Yu-Fei | 2 | | London | 1 | | Lucien | 5 | | Marseille | 1 | | Immediate | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Moreau" | | 2 | "Yu-Fei" | | 3 | "Lucien" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 93.18% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like it cost him blood" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.688 | | wordCount | 1453 | | matches | | 0 | "not by size but by presence, the careful, folded-leash presence of a man who" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 113 | | matches | | 0 | "hated that her" | | 1 | "registered that — he" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 26.42 | | std | 25.06 | | cv | 0.949 | | sampleLengths | | 0 | 33 | | 1 | 9 | | 2 | 49 | | 3 | 16 | | 4 | 7 | | 5 | 10 | | 6 | 5 | | 7 | 14 | | 8 | 33 | | 9 | 55 | | 10 | 8 | | 11 | 5 | | 12 | 88 | | 13 | 20 | | 14 | 12 | | 15 | 6 | | 16 | 44 | | 17 | 5 | | 18 | 89 | | 19 | 7 | | 20 | 24 | | 21 | 10 | | 22 | 60 | | 23 | 3 | | 24 | 13 | | 25 | 25 | | 26 | 16 | | 27 | 27 | | 28 | 12 | | 29 | 23 | | 30 | 68 | | 31 | 16 | | 32 | 49 | | 33 | 2 | | 34 | 8 | | 35 | 32 | | 36 | 70 | | 37 | 15 | | 38 | 45 | | 39 | 50 | | 40 | 10 | | 41 | 19 | | 42 | 1 | | 43 | 50 | | 44 | 62 | | 45 | 16 | | 46 | 2 | | 47 | 96 | | 48 | 21 | | 49 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 85 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 166 | | matches | | 0 | "was always deciding" | | 1 | "was crumbling" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 113 | | ratio | 0.071 | | matches | | 0 | "The hall light caught his eyes — the amber one gleaming, the black one drinking the light in." | | 1 | "He came in and immediately made the flat look smaller, the way he made every room look smaller — not by size but by presence, the careful, folded-leash presence of a man who was always deciding how much of himself to show." | | 2 | "He went still, one hand on the head of his cane, and for a moment the mask slipped — just a crack, just enough for her to see the thing underneath that looked, infuriatingly, like hurt." | | 3 | "Four months ago she'd been sitting beside that sound, close enough that his sleeve brushed hers, close enough that she'd thought — what?" | | 4 | "She registered that — he didn't reach, didn't presume, kept his hands folded on the head of his cane like a man awaiting a verdict." | | 5 | "Despite everything, a laugh escaped her — short, cracked, unwilling." | | 6 | "\"It doesn't stop you. But the deadbolt is mine.\" She stepped past him, into the little living room, and sat down on the sofa — on her side, leaving his side empty, a question and an offering both." | | 7 | "He put too much sugar in hers without asking, and she didn't complain, and when he sat down beside her — careful, a careful distance, close enough that she could have closed it and far enough that it was her choice to close it — she took the cup from his hands and let her fingers rest against his for one second longer than necessary." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 705 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.03687943262411347 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.00851063829787234 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 113 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 113 | | mean | 12.86 | | std | 13.16 | | cv | 1.023 | | sampleLengths | | 0 | 18 | | 1 | 5 | | 2 | 1 | | 3 | 1 | | 4 | 8 | | 5 | 9 | | 6 | 31 | | 7 | 18 | | 8 | 16 | | 9 | 7 | | 10 | 6 | | 11 | 2 | | 12 | 2 | | 13 | 5 | | 14 | 2 | | 15 | 8 | | 16 | 4 | | 17 | 17 | | 18 | 4 | | 19 | 4 | | 20 | 8 | | 21 | 15 | | 22 | 40 | | 23 | 4 | | 24 | 4 | | 25 | 5 | | 26 | 42 | | 27 | 20 | | 28 | 6 | | 29 | 5 | | 30 | 15 | | 31 | 20 | | 32 | 4 | | 33 | 8 | | 34 | 6 | | 35 | 8 | | 36 | 36 | | 37 | 5 | | 38 | 10 | | 39 | 29 | | 40 | 23 | | 41 | 13 | | 42 | 5 | | 43 | 9 | | 44 | 6 | | 45 | 1 | | 46 | 13 | | 47 | 11 | | 48 | 7 | | 49 | 3 |
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| 59.88% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.4336283185840708 | | totalSentences | 113 | | uniqueOpeners | 49 | |
| 96.62% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 69 | | matches | | 0 | "Instead she stepped back, because" | | 1 | "Somewhere below, the muffled bass" |
| | ratio | 0.029 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 41 | | totalSentences | 69 | | matches | | 0 | "She unhooked the chain and" | | 1 | "he said, and her name" | | 2 | "She moved to shut the" | | 3 | "She remembered that almost-smile." | | 4 | "She'd spent four months trying" | | 5 | "She should have slammed the" | | 6 | "He came in and immediately" | | 7 | "His gaze moved over the" | | 8 | "She watched him catalogue it" | | 9 | "He couldn't turn it off" | | 10 | "she asked, because her mother" | | 11 | "He went still, one hand" | | 12 | "he said quietly" | | 13 | "She put the kettle on" | | 14 | "She'd watched too many films." | | 15 | "Her father the barrister would" | | 16 | "she said to the kettle" | | 17 | "Her hands went cold on" | | 18 | "She turned around." | | 19 | "She heard the edge in" |
| | ratio | 0.594 | |
| 39.71% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 69 | | matches | | 0 | "The knock came again, three" | | 1 | "Nobody else knocked like that." | | 2 | "She unhooked the chain and" | | 3 | "Lucien Moreau stood on her" | | 4 | "The hall light caught his" | | 5 | "he said, and her name" | | 6 | "She moved to shut the" | | 7 | "The cane slid into the" | | 8 | "A flicker of something at" | | 9 | "She remembered that almost-smile." | | 10 | "She'd spent four months trying" | | 11 | "She should have slammed the" | | 12 | "He came in and immediately" | | 13 | "His gaze moved over the" | | 14 | "She watched him catalogue it" | | 15 | "Information broker to the bone." | | 16 | "He couldn't turn it off" | | 17 | "she asked, because her mother" | | 18 | "The words came out harder" | | 19 | "He went still, one hand" |
| | ratio | 0.841 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 74.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 2 | | matches | | 0 | "Instead she stepped back, because Yu-Fei had given her a job when she'd arrived in London with two suitcases and a fear of men who said her name too softly, and…" | | 1 | "He came in and immediately made the flat look smaller, the way he made every room look smaller — not by size but by presence, the careful, folded-leash presence…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 25 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 55 | | tagDensity | 0.255 | | leniency | 0.509 | | rawRatio | 0 | | effectiveRatio | 0 | |