| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "Rory stepped around [around]" |
| | dialogueSentences | 36 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.083 | | effectiveRatio | 0.056 | |
| 96.38% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1383 | | 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) | |
| 60.23% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1383 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "weight" | | 1 | "throbbed" | | 2 | "vibrated" | | 3 | "silence" | | 4 | "stark" | | 5 | "chill" | | 6 | "tracing" | | 7 | "silk" | | 8 | "calculating" | | 9 | "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 | 76 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 76 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 1379 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 95.16% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 1003 | | uniqueNames | 12 | | maxNameDensity | 1.1 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Moreau | 1 | | East | 1 | | End | 1 | | Lucien | 9 | | Brick | 1 | | Lane | 1 | | Eva | 1 | | Rory | 11 | | Oxfords | 1 | | French | 1 | | Mayfair | 1 | | November | 1 |
| | persons | | 0 | "Moreau" | | 1 | "Lucien" | | 2 | "Eva" | | 3 | "Rory" |
| | places | | 0 | "East" | | 1 | "End" | | 2 | "Brick" | | 3 | "Lane" |
| | globalScore | 0.952 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1379 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 100 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 31.34 | | std | 22.03 | | cv | 0.703 | | sampleLengths | | 0 | 28 | | 1 | 6 | | 2 | 65 | | 3 | 21 | | 4 | 21 | | 5 | 10 | | 6 | 24 | | 7 | 52 | | 8 | 10 | | 9 | 46 | | 10 | 55 | | 11 | 15 | | 12 | 45 | | 13 | 43 | | 14 | 12 | | 15 | 12 | | 16 | 48 | | 17 | 11 | | 18 | 47 | | 19 | 62 | | 20 | 12 | | 21 | 26 | | 22 | 9 | | 23 | 68 | | 24 | 23 | | 25 | 59 | | 26 | 21 | | 27 | 12 | | 28 | 68 | | 29 | 10 | | 30 | 34 | | 31 | 5 | | 32 | 64 | | 33 | 3 | | 34 | 24 | | 35 | 7 | | 36 | 3 | | 37 | 48 | | 38 | 74 | | 39 | 67 | | 40 | 48 | | 41 | 37 | | 42 | 21 | | 43 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 76 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 164 | | matches | | |
| 28.57% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 100 | | ratio | 0.04 | | matches | | 0 | "His platinum blond hair remained slicked back, defying the miserable East End weather, while his heterochromatic eyes—one burning amber, one a void of pure black—locked onto hers." | | 1 | "The scent of him immediately conquered the rising aromas of the Brick Lane curry house downstairs—rain, crushed cloves, and cold ozone." | | 2 | "Underneath the tailored wool and linen, his heart hammered a frantic, uneven rhythm—nothing like the cold, calculating monster the underworld feared." | | 3 | "There was nothing gentle in the kiss; it tasted of six months of fury and the metallic tang of fear." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1010 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.015841584158415842 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0019801980198019802 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 13.79 | | std | 8.56 | | cv | 0.621 | | sampleLengths | | 0 | 5 | | 1 | 23 | | 2 | 6 | | 3 | 7 | | 4 | 20 | | 5 | 27 | | 6 | 11 | | 7 | 7 | | 8 | 3 | | 9 | 11 | | 10 | 7 | | 11 | 14 | | 12 | 10 | | 13 | 19 | | 14 | 5 | | 15 | 23 | | 16 | 15 | | 17 | 14 | | 18 | 10 | | 19 | 21 | | 20 | 4 | | 21 | 21 | | 22 | 7 | | 23 | 12 | | 24 | 8 | | 25 | 15 | | 26 | 13 | | 27 | 3 | | 28 | 12 | | 29 | 18 | | 30 | 18 | | 31 | 9 | | 32 | 8 | | 33 | 17 | | 34 | 18 | | 35 | 12 | | 36 | 12 | | 37 | 6 | | 38 | 13 | | 39 | 29 | | 40 | 11 | | 41 | 30 | | 42 | 5 | | 43 | 12 | | 44 | 17 | | 45 | 10 | | 46 | 35 | | 47 | 12 | | 48 | 26 | | 49 | 5 |
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| 60.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4 | | totalSentences | 100 | | uniqueOpeners | 40 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 25.41% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 74 | | matches | | 0 | "His platinum blond hair remained" | | 1 | "He leaned a fraction of" | | 2 | "Her knuckles whitened." | | 3 | "She swung the wood forward" | | 4 | "It wedged against the floorboards," | | 5 | "He didn't shove, yet the" | | 6 | "He stepped over the threshold" | | 7 | "She chose the retreat." | | 8 | "He turned, his mismatched gaze" | | 9 | "His movements were deliberate, unhurried," | | 10 | "He draped the damp wool" | | 11 | "He planted the rubber ferrule" | | 12 | "Her bright blue eyes burned." | | 13 | "His voice dropped an octave," | | 14 | "He left his hand suspended" | | 15 | "He took a step forward," | | 16 | "She dropped her arms to" | | 17 | "He was close enough now" | | 18 | "He hooked the ivory handle" | | 19 | "He paused a fraction of" |
| | ratio | 0.486 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 74 | | matches | | 0 | "The third deadbolt clicked back." | | 1 | "Rory yanked the heavy wood" | | 2 | "The words died in her" | | 3 | "Lucien Moreau stood in the" | | 4 | "London rain darkened the shoulders" | | 5 | "His platinum blond hair remained" | | 6 | "He leaned a fraction of" | | 7 | "Rory gripped the edge of" | | 8 | "Her knuckles whitened." | | 9 | "She swung the wood forward" | | 10 | "The tip of his cane" | | 11 | "It wedged against the floorboards," | | 12 | "Rory kept her weight braced" | | 13 | "Lucien pressed a palm flat" | | 14 | "He didn't shove, yet the" | | 15 | "He stepped over the threshold" | | 16 | "She chose the retreat." | | 17 | "The scent of him immediately" | | 18 | "Lucien kicked the door shut" | | 19 | "He turned, his mismatched gaze" |
| | ratio | 0.932 | |
| 67.57% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 74 | | matches | | 0 | "If she moved, she would" |
| | ratio | 0.014 | |
| 69.60% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 4 | | matches | | 0 | "His movements were deliberate, unhurried, claiming space in the tiny room as though he owned the freehold." | | 1 | "Lucien groaned against her lips, one arm banding around her waist to haul her flush against his body, lifting her onto her toes." | | 2 | "He tilted his head, deepening the kiss, his tongue tangling with hers as his free hand swept a pile of parchment off the desk." | | 3 | "Rory locked her ankles behind his back and tugged his waistcoat open, popping a charcoal button that skittered across the floorboards." |
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| 83.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 1 | | matches | | 0 | "Rory kept, refusing to give him an inch of clearance" |
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| 66.67% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 3 | | fancyTags | | 0 | "Lucien pressed (press)" | | 1 | "Lucien murmured (murmur)" | | 2 | "she whispered (whisper)" |
| | dialogueSentences | 36 | | tagDensity | 0.083 | | leniency | 0.167 | | rawRatio | 1 | | effectiveRatio | 0.167 | |