| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 4 | | adverbTags | | 0 | "Lucien said softly [softly]" | | 1 | "he said gently [gently]" | | 2 | "he said quietely [quietely]" | | 3 | "he said softly [softly]" |
| | dialogueSentences | 27 | | tagDensity | 0.556 | | leniency | 1 | | rawRatio | 0.267 | | effectiveRatio | 0.267 | |
| 65.78% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1315 | | totalAiIsmAdverbs | 9 | | found | | | highlights | | 0 | "softly" | | 1 | "slightly" | | 2 | "completely" | | 3 | "slowly" | | 4 | "gently" | | 5 | "intensely" | | 6 | "lightly" |
| |
| 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) | |
| 39.16% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1315 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "weight" | | 1 | "flicker" | | 2 | "velvet" | | 3 | "treacherous" | | 4 | "flickered" | | 5 | "depths" | | 6 | "charm" | | 7 | "pristine" | | 8 | "measured" | | 9 | "chaotic" | | 10 | "churning" | | 11 | "electric" | | 12 | "reminder" | | 13 | "pulse" | | 14 | "fractured" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 65 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 65 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 77 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 3 | | totalWords | 1307 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 1022 | | uniqueNames | 12 | | maxNameDensity | 1.27 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 13 | | Eva | 4 | | Moreau | 1 | | London | 2 | | Marseille | 1 | | Lucien | 13 | | Ptolemy | 1 | | East | 1 | | Southwark | 1 | | Golden | 1 | | Empress | 1 | | Latin | 1 |
| | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "Moreau" | | 3 | "Lucien" | | 4 | "Latin" |
| | places | | 0 | "London" | | 1 | "Marseille" | | 2 | "East" | | 3 | "Southwark" |
| | globalScore | 0.864 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | 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 | 1307 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 77 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 38.44 | | std | 19.29 | | cv | 0.502 | | sampleLengths | | 0 | 36 | | 1 | 34 | | 2 | 60 | | 3 | 39 | | 4 | 46 | | 5 | 36 | | 6 | 57 | | 7 | 27 | | 8 | 45 | | 9 | 21 | | 10 | 20 | | 11 | 52 | | 12 | 53 | | 13 | 11 | | 14 | 98 | | 15 | 34 | | 16 | 54 | | 17 | 60 | | 18 | 13 | | 19 | 5 | | 20 | 40 | | 21 | 38 | | 22 | 47 | | 23 | 12 | | 24 | 62 | | 25 | 12 | | 26 | 62 | | 27 | 10 | | 28 | 42 | | 29 | 41 | | 30 | 46 | | 31 | 25 | | 32 | 40 | | 33 | 29 |
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| 99.87% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 65 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 166 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 1 | | flaggedSentences | 7 | | totalSentences | 77 | | ratio | 0.091 | | matches | | 0 | "Under the weak flicker of the bare corridor bulb, his eyes pinned her in place—the right one a sharp, brilliant amber, the left a fathomless, pitch-black void." | | 1 | "His voice carried that fluid, velvet Marseille cadence that she had spent the last three weeks trying—and failing—to purge from her mind." | | 2 | "Something flickered in the dark depths of his left eye—a shadow of something raw and unscripted before his practiced, impenetrable charm clicked back into place." | | 3 | "Every available surface—the sagging velvet sofa, the coffee table, the window sills—was buried under mountains of books, rolled parchment, and half-empty mugs of tea." | | 4 | "He had called her reckless, foolishly human, and blind to the realities of the underworld; she had called him a cold, mercenary half-demon who hid behind his tailored clothes and information brokering because he was too terrified to feel a damned thing." | | 5 | "His skin was warm—hotter than a normal human's, a constant reminder of the infernal blood riding through his veins." | | 6 | "Rory looked at him—at the lethal, brilliant, tormented half-demon standing in her messy hallway, holding her hand like it was the only anchor keeping him pinned to the earth." |
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| 70.41% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1037 | | adjectiveStacks | 4 | | stackExamples | | 0 | "fathomless, pitch-black void." | | 1 | "small crescent-shaped scar" | | 2 | "cold, mercenary half-demon" | | 3 | "small, sleek black mobile phone." |
| | adverbCount | 45 | | adverbRatio | 0.04339440694310511 | | lyAdverbCount | 24 | | lyAdverbRatio | 0.023143683702989394 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 77 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 77 | | mean | 16.97 | | std | 10.09 | | cv | 0.594 | | sampleLengths | | 0 | 36 | | 1 | 34 | | 2 | 16 | | 3 | 17 | | 4 | 27 | | 5 | 9 | | 6 | 22 | | 7 | 8 | | 8 | 14 | | 9 | 13 | | 10 | 5 | | 11 | 14 | | 12 | 26 | | 13 | 10 | | 14 | 4 | | 15 | 28 | | 16 | 25 | | 17 | 27 | | 18 | 13 | | 19 | 32 | | 20 | 21 | | 21 | 20 | | 22 | 28 | | 23 | 24 | | 24 | 12 | | 25 | 23 | | 26 | 18 | | 27 | 11 | | 28 | 14 | | 29 | 20 | | 30 | 22 | | 31 | 42 | | 32 | 5 | | 33 | 29 | | 34 | 12 | | 35 | 42 | | 36 | 17 | | 37 | 6 | | 38 | 17 | | 39 | 20 | | 40 | 13 | | 41 | 4 | | 42 | 1 | | 43 | 15 | | 44 | 9 | | 45 | 16 | | 46 | 24 | | 47 | 14 | | 48 | 6 | | 49 | 32 |
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| 56.28% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.37662337662337664 | | totalSentences | 77 | | uniqueOpeners | 29 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 62 | | matches | | 0 | "Instead, the damp, narrow hallway" | | 1 | "Instead, he closed the distance" |
| | ratio | 0.032 | |
| 52.26% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 62 | | matches | | 0 | "He rested his weight casually" | | 1 | "His voice carried that fluid," | | 2 | "Her sleeve slipped down, exposing" | | 3 | "She didn't retreat an inch." | | 4 | "She adjusted her stance, letting" | | 5 | "His amber eye swept over" | | 6 | "He shifted his cane to" | | 7 | "He slowly peeled off his" | | 8 | "he said gently, turning to" | | 9 | "It threatened to crack the" | | 10 | "He had called her reckless," | | 11 | "He didn't rise to the" | | 12 | "he said quietely" | | 13 | "He held it out to" | | 14 | "His amber eye held her" | | 15 | "Her fingers brushed his palm." | | 16 | "His skin was warm—hotter than" | | 17 | "she whispered, though her voice" | | 18 | "he said softly" | | 19 | "He didn't pull her closer," |
| | ratio | 0.419 | |
| 24.52% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 62 | | matches | | 0 | "The third deadbolt slid back" | | 1 | "Lucien Moreau stood on the" | | 2 | "He rested his weight casually" | | 3 | "Lucien said softly" | | 4 | "His voice carried that fluid," | | 5 | "Rory’s hand tightened on the" | | 6 | "Her sleeve slipped down, exposing" | | 7 | "She didn't retreat an inch." | | 8 | "She adjusted her stance, letting" | | 9 | "Rory said, keeping her tone" | | 10 | "Lucien didn't answer immediately." | | 11 | "His amber eye swept over" | | 12 | "Something flickered in the dark" | | 13 | "Lucien looked down, his lips" | | 14 | "He shifted his cane to" | | 15 | "Rory called after him, shutting" | | 16 | "Lucien replied, standing in the" | | 17 | "The flat smelled of roasted" | | 18 | "Every available surface—the sagging velvet" | | 19 | "Lucien fit into the chaos" |
| | ratio | 0.871 | |
| 80.65% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 62 | | matches | | 0 | "Before he could speak, Ptolemy," |
| | ratio | 0.016 | |
| 48.87% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 5 | | matches | | 0 | "Instead, the damp, narrow hallway framed five feet eleven inches of impeccably tailored charcoal wool, platinum blond hair slicked back from a high brow, and a …" | | 1 | "That night, standing in the torrential rain outside a flooded warehouse, they had screamed words at each other that couldn't be unsaid." | | 2 | "He had called her reckless, foolishly human, and blind to the realities of the underworld; she had called him a cold, mercenary half-demon who hid behind his ta…" | | 3 | "Up close, he smelled of rain, cold ozone, and the faint, intoxicating scent of sandalwood that belonged entirely to him." | | 4 | "His left hand rose, his long fingers hovering just over her jawline, trembling slightly before his knuckles lightly grazed her cheekbone." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 4 | | matches | | 0 | "he said gently, turning to face her" | | 1 | "she whispered, though her voice lacked any real bite" | | 2 | "she breathed, her heart knocking against her ribs" | | 3 | "he murmured, his voice a low, rough rasp" |
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| 1.85% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 4 | | fancyTags | | 0 | "Lucien murmured (murmur)" | | 1 | "she whispered (whisper)" | | 2 | "she breathed (breathe)" | | 3 | "he murmured (murmur)" |
| | dialogueSentences | 27 | | tagDensity | 0.481 | | leniency | 0.963 | | rawRatio | 0.308 | | effectiveRatio | 0.296 | |