| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 39 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 883 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 3.74% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 883 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "glinting" | | 1 | "predator" | | 2 | "shattered" | | 3 | "silence" | | 4 | "flicked" | | 5 | "footsteps" | | 6 | "echoing" | | 7 | "pulse" | | 8 | "race" | | 9 | "electric" | | 10 | "charged" | | 11 | "traced" | | 12 | "tension" | | 13 | "unreadable" | | 14 | "weight" |
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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 | 62 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 62 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 88 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 874 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 723 | | uniqueNames | 15 | | maxNameDensity | 1.24 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Brick | 1 | | Lane | 1 | | Moreau | 1 | | Marseille | 1 | | Evan | 1 | | Lucien | 9 | | Ptolemy | 2 | | Eva | 8 | | Golden | 1 | | Empress | 1 | | London | 1 | | Camden | 1 | | Market | 1 | | Cardiff | 1 | | Three | 3 |
| | persons | | 0 | "Moreau" | | 1 | "Evan" | | 2 | "Lucien" | | 3 | "Eva" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Marseille" | | 3 | "London" | | 4 | "Camden" | | 5 | "Cardiff" |
| | globalScore | 0.878 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 41 | | 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 | 874 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 88 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 19.86 | | std | 16.65 | | cv | 0.838 | | sampleLengths | | 0 | 11 | | 1 | 79 | | 2 | 2 | | 3 | 42 | | 4 | 16 | | 5 | 44 | | 6 | 11 | | 7 | 11 | | 8 | 41 | | 9 | 6 | | 10 | 27 | | 11 | 5 | | 12 | 36 | | 13 | 9 | | 14 | 28 | | 15 | 34 | | 16 | 20 | | 17 | 54 | | 18 | 5 | | 19 | 3 | | 20 | 21 | | 21 | 7 | | 22 | 24 | | 23 | 3 | | 24 | 19 | | 25 | 10 | | 26 | 35 | | 27 | 5 | | 28 | 5 | | 29 | 31 | | 30 | 1 | | 31 | 18 | | 32 | 33 | | 33 | 4 | | 34 | 11 | | 35 | 44 | | 36 | 5 | | 37 | 35 | | 38 | 12 | | 39 | 8 | | 40 | 6 | | 41 | 10 | | 42 | 15 | | 43 | 28 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 62 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 127 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 88 | | ratio | 0.091 | | matches | | 0 | "Behind her, the scent of Brick Lane’s curry houses curled into the hallway—cumin, turmeric, the faint metallic tang of the rain that had just stopped." | | 1 | "The way he’d looked at me then—like I was something precious, something broken—had haunted me more than the bruises Evan left." | | 2 | "“Busy delivering takeaway?” He arched a brow, his gaze sweeping over my Golden Empress uniform—the black polo, the apron still tied around my waist." | | 3 | "But the way his black eye gleamed, the way his fingers flexed around his cane—he wasn’t here for small talk." | | 4 | "The flat was exactly as Eva had left it—books stacked on every surface, scrolls unrolled across the coffee table, Ptolemy now perched on the back of the sofa like a tiny, judgmental king." | | 5 | "He picked up a photo—Eva and me at Camden Market, arms slung around each other, grinning like idiots." | | 6 | "But the way his body pressed against mine, the way his breath warmed my skin—it was like no time had passed at all." | | 7 | "“Uh. I forgot my—” She stopped, taking in the scene—Lucien’s hands on my waist, my lips swollen from his kiss." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 732 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.03278688524590164 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.004098360655737705 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 88 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 88 | | mean | 9.93 | | std | 7.82 | | cv | 0.787 | | sampleLengths | | 0 | 11 | | 1 | 24 | | 2 | 25 | | 3 | 30 | | 4 | 2 | | 5 | 3 | | 6 | 2 | | 7 | 16 | | 8 | 21 | | 9 | 6 | | 10 | 10 | | 11 | 5 | | 12 | 18 | | 13 | 21 | | 14 | 11 | | 15 | 6 | | 16 | 5 | | 17 | 14 | | 18 | 27 | | 19 | 6 | | 20 | 13 | | 21 | 10 | | 22 | 4 | | 23 | 3 | | 24 | 2 | | 25 | 24 | | 26 | 12 | | 27 | 4 | | 28 | 5 | | 29 | 23 | | 30 | 5 | | 31 | 5 | | 32 | 4 | | 33 | 5 | | 34 | 20 | | 35 | 15 | | 36 | 5 | | 37 | 33 | | 38 | 21 | | 39 | 5 | | 40 | 3 | | 41 | 18 | | 42 | 3 | | 43 | 6 | | 44 | 1 | | 45 | 17 | | 46 | 7 | | 47 | 3 | | 48 | 14 | | 49 | 5 |
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| 62.88% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.3977272727272727 | | totalSentences | 88 | | uniqueOpeners | 35 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 56 | | matches | | 0 | "Just stood there in that" | | 1 | "Then the door burst open." | | 2 | "Just turned his head, his" |
| | ratio | 0.054 | |
| 48.57% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 56 | | matches | | 0 | "My breath hitched." | | 1 | "I said, my voice steadier" | | 2 | "She didn’t wait for a" | | 3 | "His cane tapped against the" | | 4 | "He arched a brow, his" | | 5 | "I crossed my arms." | | 6 | "He stepped closer, close enough" | | 7 | "I could’ve lied again." | | 8 | "I said, turning away before" | | 9 | "He picked up a photo—Eva" | | 10 | "I snatched it from his" | | 11 | "He set his cane against" | | 12 | "He stepped into my space," | | 13 | "My back hit the wall." | | 14 | "His fingers brushed the crescent-shaped" | | 15 | "His smirk deepened." | | 16 | "His thumb traced the scar," | | 17 | "he murmured, his lips brushing" | | 18 | "I should’ve pushed him away." | | 19 | "His laugh was low, dark." |
| | ratio | 0.429 | |
| 76.07% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 43 | | totalSentences | 56 | | matches | | 0 | "The door swung open before" | | 1 | "Eva stood there, her dark" | | 2 | "My breath hitched." | | 3 | "The way he’d looked at" | | 4 | "Eva said, her voice tight" | | 5 | "Lucien didn’t move, didn’t speak." | | 6 | "The silence stretched, thick and" | | 7 | "I said, my voice steadier" | | 8 | "A smirk tugged at Lucien’s" | | 9 | "Eva’s gaze flicked between us," | | 10 | "She didn’t wait for a" | | 11 | "The door clicked shut behind" | | 12 | "Lucien finally pushed off the" | | 13 | "His cane tapped against the" | | 14 | "He arched a brow, his" | | 15 | "I crossed my arms." | | 16 | "He stepped closer, close enough" | | 17 | "The air between us crackled." | | 18 | "I could’ve lied again." | | 19 | "I said, turning away before" |
| | ratio | 0.768 | |
| 89.29% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 56 | | matches | | 0 | "Before I could respond, his" |
| | ratio | 0.018 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 2 | | matches | | 0 | "Behind her, the scent of Brick Lane’s curry houses curled into the hallway—cumin, turmeric, the faint metallic tang of the rain that had just stopped." | | 1 | "He stepped closer, close enough that I could smell the faint scent of bergamot and something darker, something that made my pulse jump." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 4 | | matches | | 0 | "Eva said, her voice tight" | | 1 | "I said, my voice steadier than I felt" | | 2 | "He stepped, his voice dropping to a low rumble" | | 3 | "he murmured, his lips brushing the shell of my ear" |
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| 47.44% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 4 | | fancyTags | | 0 | "I lied (lie)" | | 1 | "he murmured (murmur)" | | 2 | "he murmured (murmur)" | | 3 | "I whispered (whisper)" |
| | dialogueSentences | 39 | | tagDensity | 0.179 | | leniency | 0.359 | | rawRatio | 0.571 | | effectiveRatio | 0.205 | |