| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 1 | | adverbTags | | 0 | "His voice rasped like [like]" |
| | dialogueSentences | 38 | | tagDensity | 0.421 | | leniency | 0.842 | | rawRatio | 0.063 | | effectiveRatio | 0.053 | |
| 84.83% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1318 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slightly" | | 1 | "gently" | | 2 | "completely" | | 3 | "lightly" |
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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) | |
| 58.27% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1318 | | totalAiIsms | 11 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | word | "down her spine" | | count | 1 |
| | 5 | | | 6 | | | 7 | | | 8 | | | 9 | |
| | highlights | | 0 | "echo" | | 1 | "sanctuary" | | 2 | "silk" | | 3 | "weight" | | 4 | "down her spine" | | 5 | "warmth" | | 6 | "chill" | | 7 | "rhythmic" | | 8 | "silence" | | 9 | "swept away" |
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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 | 58 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 58 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 79 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1314 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 98.77% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 976 | | uniqueNames | 9 | | maxNameDensity | 1.02 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Moreau | 1 | | Aurora | 8 | | Lucien | 10 | | Brick | 1 | | Lane | 1 | | Soho | 1 | | Tuesday | 1 | | East | 1 | | London | 1 |
| | persons | | 0 | "Moreau" | | 1 | "Aurora" | | 2 | "Lucien" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Soho" | | 3 | "East" | | 4 | "London" |
| | globalScore | 0.988 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 1 | | matches | | 0 | "tasted like smoke and rain, and the dark" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.761 | | wordCount | 1314 | | matches | | 0 | "not with the cautious restraint of three months ago, but with a harsh, desperate demand" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 79 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 37.54 | | std | 21.02 | | cv | 0.56 | | sampleLengths | | 0 | 41 | | 1 | 6 | | 2 | 66 | | 3 | 34 | | 4 | 37 | | 5 | 56 | | 6 | 61 | | 7 | 16 | | 8 | 38 | | 9 | 5 | | 10 | 80 | | 11 | 30 | | 12 | 26 | | 13 | 40 | | 14 | 65 | | 15 | 50 | | 16 | 54 | | 17 | 61 | | 18 | 25 | | 19 | 27 | | 20 | 4 | | 21 | 10 | | 22 | 66 | | 23 | 27 | | 24 | 40 | | 25 | 42 | | 26 | 20 | | 27 | 24 | | 28 | 42 | | 29 | 31 | | 30 | 4 | | 31 | 52 | | 32 | 84 | | 33 | 29 | | 34 | 21 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 58 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 147 | | matches | (empty) | |
| 70.52% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 79 | | ratio | 0.025 | | matches | | 0 | "His mis-matched eyes—one golden as summer honey, the other an abyss of absolute dark—fastened onto hers." | | 1 | "Lucien reached out, his bare knuckle—he had stripped his right glove off without her noticing—grazing the high curve of her cheekbone." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 988 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 26 | | adverbRatio | 0.02631578947368421 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.010121457489878543 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 79 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 79 | | mean | 16.63 | | std | 9.66 | | cv | 0.581 | | sampleLengths | | 0 | 11 | | 1 | 30 | | 2 | 6 | | 3 | 22 | | 4 | 11 | | 5 | 17 | | 6 | 16 | | 7 | 25 | | 8 | 9 | | 9 | 11 | | 10 | 26 | | 11 | 27 | | 12 | 29 | | 13 | 18 | | 14 | 6 | | 15 | 37 | | 16 | 14 | | 17 | 2 | | 18 | 15 | | 19 | 17 | | 20 | 6 | | 21 | 5 | | 22 | 5 | | 23 | 37 | | 24 | 38 | | 25 | 11 | | 26 | 19 | | 27 | 7 | | 28 | 19 | | 29 | 23 | | 30 | 17 | | 31 | 43 | | 32 | 22 | | 33 | 4 | | 34 | 21 | | 35 | 25 | | 36 | 26 | | 37 | 5 | | 38 | 23 | | 39 | 2 | | 40 | 15 | | 41 | 16 | | 42 | 25 | | 43 | 3 | | 44 | 12 | | 45 | 13 | | 46 | 23 | | 47 | 4 | | 48 | 4 | | 49 | 10 |
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| 48.95% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.35443037974683544 | | totalSentences | 79 | | uniqueOpeners | 28 | |
| 59.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 56 | | matches | | 0 | "Instead, his gaze swept over" |
| | ratio | 0.018 | |
| 41.43% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 56 | | matches | | 0 | "His charcoal coat smelled faintly" | | 1 | "His mis-matched eyes—one golden as" | | 2 | "She threw her toast onto" | | 3 | "He did not look at" | | 4 | "His voice rasped like silk" | | 5 | "She jabbed a finger at" | | 6 | "She tucked her hair behind" | | 7 | "she repeated, her tone flat" | | 8 | "She squared her shoulders, towering" | | 9 | "His amber eye caught the" | | 10 | "His hand moved faster than" | | 11 | "He tilted her face up." | | 12 | "Her hand flew to the" | | 13 | "She snatched his wrist, her" | | 14 | "He didn't budge." | | 15 | "she hissed, her blue eyes" | | 16 | "He released her chin, but" | | 17 | "Her voice lost its sharp" | | 18 | "he murmured, his gaze dropping" | | 19 | "she whispered, though she didn't" |
| | ratio | 0.446 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 56 | | matches | | 0 | "The brass handle clicked down" | | 1 | "Aurora swung the door wide," | | 2 | "The words died in her" | | 3 | "Lucien Moreau stood beneath the" | | 4 | "His charcoal coat smelled faintly" | | 5 | "A thin ivory handle rested" | | 6 | "His mis-matched eyes—one golden as" | | 7 | "Lucien stepped over the threshold" | | 8 | "Aurora slammed the door shut," | | 9 | "Ptolemy darted out from beneath" | | 10 | "She threw her toast onto" | | 11 | "Lucien unbuttoned his coat with" | | 12 | "He did not look at" | | 13 | "His voice rasped like silk" | | 14 | "Aurora rounded the narrow kitchen" | | 15 | "She jabbed a finger at" | | 16 | "The air went dead cold." | | 17 | "The smell of turmeric and" | | 18 | "The night she had bandaged" | | 19 | "Aurora pulled her hand back," |
| | ratio | 0.982 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 31.25% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 5 | | matches | | 0 | "Aurora swung the door wide, a half-eaten slice of buttered toast poised in her left hand, ready to bark at the delivery driver who kept dumping packages on the …" | | 1 | "His amber eye caught the amber glow of her desk lamp, flickering with an ancient, infernal light that made her breath catch in her throat." | | 2 | "His arms wrapped around her waist, lifting her effortlessly against the edge of the kitchen island, scattering a pile of old tax returns and half-drawn pentagra…" | | 3 | "His lips met hers not with the cautious restraint of three months ago, but with a harsh, desperate demand that stole the air straight from her lungs." | | 4 | "Aurora threw her arms around his neck, her fingers tangling in the slicked-back platinum strands of his hair, pulling him down, crushing the three months of sil…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 4 | | matches | | 0 | "Aurora rounded, her bare feet sticking slightly to the linoleum" | | 1 | "she repeated, her tone flat" | | 2 | "she hissed, her blue eyes flashing with a lethal sharpness" | | 3 | "she panted, her lips swollen, her bright blue eyes locked onto his" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 6 | | fancyTags | | 0 | "she repeated (repeat)" | | 1 | "she hissed (hiss)" | | 2 | "he murmured (murmur)" | | 3 | "she whispered (whisper)" | | 4 | "she breathed (breathe)" | | 5 | "she panted (pant)" |
| | dialogueSentences | 38 | | tagDensity | 0.158 | | leniency | 0.316 | | rawRatio | 1 | | effectiveRatio | 0.316 | |