| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 1 | | adverbTags | | 0 | "Lucien’s cane tapped once [once]" |
| | dialogueSentences | 60 | | tagDensity | 0.217 | | leniency | 0.433 | | rawRatio | 0.077 | | effectiveRatio | 0.033 | |
| 85.92% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1420 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slightly" | | 1 | "softly" | | 2 | "truly" | | 3 | "really" |
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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) | |
| 33.10% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1420 | | totalAiIsms | 19 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "perfect" | | 1 | "flickered" | | 2 | "pulse" | | 3 | "sense of" | | 4 | "scanning" | | 5 | "silence" | | 6 | "pulsed" | | 7 | "standard" | | 8 | "throbbed" | | 9 | "echo" | | 10 | "measured" | | 11 | "stomach" | | 12 | "whisper" | | 13 | "reminder" | | 14 | "velvet" | | 15 | "weight" | | 16 | "charm" | | 17 | "etched" | | 18 | "charged" |
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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 | 105 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 105 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 149 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 8 | | markdownWords | 21 | | totalWords | 1414 | | ratio | 0.015 | | matches | | 0 | "Perfect." | | 1 | "Some debts aren’t paid in coin, Rory." | | 2 | "Evan." | | 3 | "are" | | 4 | "You’ll always be mine, Rory" | | 5 | "my" | | 6 | "were" | | 7 | "If we survive this…" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 1043 | | uniqueNames | 10 | | maxNameDensity | 1.05 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Moreau | 1 | | London | 1 | | Aurora | 11 | | Soho | 1 | | Eva | 2 | | Golden | 1 | | Empress | 1 | | Evan | 3 | | Lucien | 9 | | Wanted | 3 |
| | persons | | 0 | "Moreau" | | 1 | "Aurora" | | 2 | "Eva" | | 3 | "Evan" | | 4 | "Lucien" | | 5 | "Wanted" |
| | places | | 0 | "London" | | 1 | "Soho" | | 2 | "Golden" |
| | globalScore | 0.973 | | windowScore | 0.833 | |
| 38.06% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 3 | | matches | | 0 | "as if expecting an ambush" | | 1 | "as if recognising her" | | 2 | "something like desperation" |
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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 | 1414 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 149 | | matches | | 0 | "chose that moment" | | 1 | "heard that name" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 68 | | mean | 20.79 | | std | 15.09 | | cv | 0.726 | | sampleLengths | | 0 | 56 | | 1 | 55 | | 2 | 12 | | 3 | 35 | | 4 | 9 | | 5 | 57 | | 6 | 11 | | 7 | 28 | | 8 | 7 | | 9 | 4 | | 10 | 18 | | 11 | 54 | | 12 | 18 | | 13 | 13 | | 14 | 38 | | 15 | 36 | | 16 | 17 | | 17 | 23 | | 18 | 26 | | 19 | 36 | | 20 | 7 | | 21 | 19 | | 22 | 16 | | 23 | 7 | | 24 | 22 | | 25 | 25 | | 26 | 10 | | 27 | 43 | | 28 | 8 | | 29 | 13 | | 30 | 4 | | 31 | 5 | | 32 | 34 | | 33 | 18 | | 34 | 3 | | 35 | 4 | | 36 | 4 | | 37 | 29 | | 38 | 7 | | 39 | 36 | | 40 | 40 | | 41 | 8 | | 42 | 29 | | 43 | 5 | | 44 | 36 | | 45 | 19 | | 46 | 23 | | 47 | 2 | | 48 | 45 | | 49 | 12 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 105 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 188 | | matches | (empty) | |
| 46.98% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 149 | | ratio | 0.034 | | matches | | 0 | "No one knocked like that—insistent, impatient—unless they were either a bailiff or someone who knew her well enough to know she’d ignore the first two." | | 1 | "The flat was a mess—scrolls unrolled across the coffee table, a half-empty takeaway container leaking sweet and sour onto a stack of case notes." | | 2 | "His heterochromatic gaze—amber and black—flickered over her face, then past her into the flat, as if expecting an ambush." | | 3 | "“No,” he said, scanning the room—the books, the notes, the half-packed delivery bag from the Golden Empress on the kitchen counter." | | 4 | "But the memory of his hands around her throat, his voice a venomous whisper—*You’ll always be mine, Rory*—coiled in her chest like a serpent." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1052 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.03612167300380228 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.009505703422053232 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 149 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 149 | | mean | 9.49 | | std | 7.37 | | cv | 0.777 | | sampleLengths | | 0 | 14 | | 1 | 17 | | 2 | 25 | | 3 | 10 | | 4 | 24 | | 5 | 21 | | 6 | 12 | | 7 | 8 | | 8 | 7 | | 9 | 11 | | 10 | 9 | | 11 | 9 | | 12 | 26 | | 13 | 19 | | 14 | 12 | | 15 | 11 | | 16 | 3 | | 17 | 13 | | 18 | 7 | | 19 | 5 | | 20 | 5 | | 21 | 2 | | 22 | 4 | | 23 | 9 | | 24 | 9 | | 25 | 9 | | 26 | 2 | | 27 | 43 | | 28 | 18 | | 29 | 10 | | 30 | 3 | | 31 | 6 | | 32 | 21 | | 33 | 6 | | 34 | 5 | | 35 | 21 | | 36 | 10 | | 37 | 5 | | 38 | 10 | | 39 | 7 | | 40 | 21 | | 41 | 2 | | 42 | 11 | | 43 | 5 | | 44 | 10 | | 45 | 16 | | 46 | 15 | | 47 | 5 | | 48 | 7 | | 49 | 14 |
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| 47.87% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.31543624161073824 | | totalSentences | 149 | | uniqueOpeners | 47 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 93 | | matches | (empty) | | ratio | 0 | |
| 73.76% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 93 | | matches | | 0 | "She exhaled through her nose" | | 1 | "she muttered, flipping the first" | | 2 | "She jiggled it, cursed under" | | 3 | "His heterochromatic gaze—amber and black—flickered" | | 4 | "he observed, voice smooth as" | | 5 | "She blocked the entrance with" | | 6 | "His lips quirked, just slightly." | | 7 | "He adjusted his cufflinks, the" | | 8 | "She wanted to slam the" | | 9 | "He didn’t wait for an" | | 10 | "She didn’t remember closing it." | | 11 | "She folded her arms" | | 12 | "he said, scanning the room—the" | | 13 | "He paused by the coffee" | | 14 | "She gestured to the flat" | | 15 | "His expression sobered." | | 16 | "He turned to face her" | | 17 | "Her name on his lips" | | 18 | "Her jaw tightened." | | 19 | "He sighed, the sound almost" |
| | ratio | 0.366 | |
| 46.02% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 77 | | totalSentences | 93 | | matches | | 0 | "The door rattled under the" | | 1 | "Aurora froze mid-reach for the" | | 2 | "She exhaled through her nose" | | 3 | "The flat was a mess—scrolls" | | 4 | "The fourth knock came just" | | 5 | "she muttered, flipping the first" | | 6 | "The second stuck, as it" | | 7 | "She jiggled it, cursed under" | | 8 | "The third deadbolt slid back" | | 9 | "The door swung open before" | | 10 | "Lucien Moreau filled the doorway," | | 11 | "His heterochromatic gaze—amber and black—flickered" | | 12 | "The ivory handle of his" | | 13 | "he observed, voice smooth as" | | 14 | "Aurora’s pulse jumped." | | 15 | "She blocked the entrance with" | | 16 | "His lips quirked, just slightly." | | 17 | "He adjusted his cufflinks, the" | | 18 | "She wanted to slam the" | | 19 | "Aurora stepped back, if only" |
| | ratio | 0.828 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 93 | | matches | | 0 | "If he wanted in, he’d" | | 1 | "If he wanted to talk," | | 2 | "*If we survive this…*" |
| | ratio | 0.032 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 4 | | matches | | 0 | "No one knocked like that—insistent, impatient—unless they were either a bailiff or someone who knew her well enough to know she’d ignore the first two." | | 1 | "His heterochromatic gaze—amber and black—flickered over her face, then past her into the flat, as if expecting an ambush." | | 2 | "She looked over her shoulder at him, the man who’d once been her closest ally and her most infuriating enemy." | | 3 | "But the pendant was already warm in her hand, humming faintly, as if recognising her." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 4 | | matches | | 0 | "he observed, voice smooth as aged brandy" | | 1 | "He turned, the light catching the angular planes of his face" | | 2 | "Lucien’s cane tapped once, twice" | | 3 | "she said, her voice steadier than she felt" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 3 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "he observed (observe)" | | 2 | "he murmured (murmur)" |
| | dialogueSentences | 60 | | tagDensity | 0.133 | | leniency | 0.267 | | rawRatio | 0.375 | | effectiveRatio | 0.1 | |