| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 59 | | tagDensity | 0.186 | | leniency | 0.373 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.01% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1670 | | totalAiIsmAdverbs | 1 | | 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) | |
| 82.04% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1670 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "silk" | | 1 | "weight" | | 2 | "traced" | | 3 | "pulse" |
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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 | 94 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 94 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 141 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 49 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1686 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 1179 | | uniqueNames | 12 | | maxNameDensity | 0.68 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 8 | | Moreau | 1 | | Rory | 8 | | Eva | 4 | | Silas | 1 | | Golden | 1 | | Empress | 1 | | Brick | 2 | | Lane | 2 | | Edinburgh | 1 | | Ptolemy | 2 | | Brussels | 1 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Rory" | | 3 | "Eva" | | 4 | "Silas" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Edinburgh" | | 3 | "Brussels" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 4 | | matches | | 0 | "quite human, something warm and dark and old" | | 1 | "not quite a laugh, not quite anything else" | | 2 | "not quite anything else" | | 3 | "looked like he hadn't slept and she wante" | | 4 | "tasted like rain and regret and eleven mo" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.593 | | wordCount | 1686 | | matches | | 0 | "not with noise but with the sheer weight of his attention" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 141 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 70 | | mean | 24.09 | | std | 23.43 | | cv | 0.973 | | sampleLengths | | 0 | 59 | | 1 | 4 | | 2 | 81 | | 3 | 4 | | 4 | 63 | | 5 | 6 | | 6 | 24 | | 7 | 56 | | 8 | 6 | | 9 | 55 | | 10 | 81 | | 11 | 32 | | 12 | 1 | | 13 | 15 | | 14 | 4 | | 15 | 2 | | 16 | 80 | | 17 | 29 | | 18 | 5 | | 19 | 41 | | 20 | 44 | | 21 | 26 | | 22 | 5 | | 23 | 15 | | 24 | 26 | | 25 | 4 | | 26 | 31 | | 27 | 33 | | 28 | 4 | | 29 | 1 | | 30 | 29 | | 31 | 67 | | 32 | 4 | | 33 | 50 | | 34 | 2 | | 35 | 36 | | 36 | 5 | | 37 | 2 | | 38 | 20 | | 39 | 1 | | 40 | 13 | | 41 | 84 | | 42 | 8 | | 43 | 16 | | 44 | 18 | | 45 | 5 | | 46 | 12 | | 47 | 12 | | 48 | 46 | | 49 | 11 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 94 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 192 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 141 | | ratio | 0.064 | | matches | | 0 | "Three deadbolts and a chain — wrong flat, that was Eva's security, not hers — but her fingers still dug into the wood the way they did when adrenaline hit her jaw first and her thoughts second." | | 1 | "His gaze moved past her shoulder into the flat — the narrow kitchen, the single lamp throwing orange across the counter, the stack of takeout bags from the restaurant where she worked." | | 2 | "The cane shifted in his grip — that ivory handle she knew hid a blade, though she'd never seen him draw it." | | 3 | "He'd always done that — filled every place he entered, not with noise but with the sheer weight of his attention." | | 4 | "She closed the door and threw all three deadbolts — Eva's habit rubbing off on her — and turned to find him standing by the window, looking down at Brick Lane below." | | 5 | "His shoulders moved — not quite a laugh, not quite anything else." | | 6 | "Ptolemy — Eva's cat, on loan for the week while Eva researched in Edinburgh — wound between Lucien's ankles and he looked down at it with an expression Rory hadn't seen on him before." | | 7 | "His fingers touched her jaw — barely, just the tips — and her skin lit up like a struck match." | | 8 | "He made a sound against her lips — low, wrecked, nothing like the composed fixer who walked into rooms and owned them — and she pulled back just enough to see his face." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1083 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.020313942751615882 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0009233610341643582 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 141 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 141 | | mean | 11.96 | | std | 10.91 | | cv | 0.912 | | sampleLengths | | 0 | 33 | | 1 | 7 | | 2 | 19 | | 3 | 4 | | 4 | 7 | | 5 | 37 | | 6 | 4 | | 7 | 7 | | 8 | 2 | | 9 | 24 | | 10 | 4 | | 11 | 11 | | 12 | 32 | | 13 | 8 | | 14 | 5 | | 15 | 7 | | 16 | 6 | | 17 | 24 | | 18 | 3 | | 19 | 5 | | 20 | 26 | | 21 | 5 | | 22 | 17 | | 23 | 6 | | 24 | 10 | | 25 | 3 | | 26 | 22 | | 27 | 20 | | 28 | 6 | | 29 | 7 | | 30 | 8 | | 31 | 21 | | 32 | 39 | | 33 | 32 | | 34 | 1 | | 35 | 7 | | 36 | 8 | | 37 | 4 | | 38 | 2 | | 39 | 12 | | 40 | 2 | | 41 | 16 | | 42 | 4 | | 43 | 4 | | 44 | 42 | | 45 | 29 | | 46 | 5 | | 47 | 13 | | 48 | 6 | | 49 | 6 |
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| 57.21% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3900709219858156 | | totalSentences | 141 | | uniqueOpeners | 55 | |
| 75.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 88 | | matches | | 0 | "Maybe Silas from downstairs wanting" | | 1 | "Somewhere below, a car horn" |
| | ratio | 0.023 | |
| 10.91% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 46 | | totalSentences | 88 | | matches | | 0 | "His cane tapped once against" | | 1 | "She'd expected a delivery." | | 2 | "His gaze moved past her" | | 3 | "He catalogued it all in" | | 4 | "She remembered that about him." | | 5 | "Her chest tightened." | | 6 | "She hadn't remembered telling him." | | 7 | "She remembered the wine and" | | 8 | "She remembered the argument after." | | 9 | "She remembered walking out at" | | 10 | "He said it like a" | | 11 | "His jaw worked." | | 12 | "She stepped back without deciding" | | 13 | "He'd always done that —" | | 14 | "He shrugged off his coat" | | 15 | "She closed the door and" | | 16 | "His shoulders moved — not" | | 17 | "She'd traced the line between" | | 18 | "His hand tightened on the" | | 19 | "She watched him struggle to" |
| | ratio | 0.523 | |
| 16.82% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 78 | | totalSentences | 88 | | matches | | 0 | "The lock clicked and the" | | 1 | "His cane tapped once against" | | 2 | "Amber and black eyes fixed" | | 3 | "Rory gripped the edge of" | | 4 | "She'd expected a delivery." | | 5 | "Lucien wiped water from his" | | 6 | "His gaze moved past her" | | 7 | "He catalogued it all in" | | 8 | "She remembered that about him." | | 9 | "The way he read rooms" | | 10 | "Her chest tightened." | | 11 | "She hadn't remembered telling him." | | 12 | "She remembered the wine and" | | 13 | "She remembered the argument after." | | 14 | "She remembered walking out at" | | 15 | "He said it like a" | | 16 | "His jaw worked." | | 17 | "The cane shifted in his" | | 18 | "She stepped back without deciding" | | 19 | "The flat swallowed the space" |
| | ratio | 0.886 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 88 | | matches | (empty) | | ratio | 0 | |
| 99.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 2 | | matches | | 0 | "She closed the door and threw all three deadbolts — Eva's habit rubbing off on her — and turned to find him standing by the window, looking down at Brick Lane b…" | | 1 | "The cat butted his shin and he crouched and scratched behind one ear with those long fingers that knew four languages and how to hold a blade and how to cup her…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 59 | | tagDensity | 0.034 | | leniency | 0.068 | | rawRatio | 0 | | effectiveRatio | 0 | |