| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 26 | | tagDensity | 0.115 | | leniency | 0.231 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 79.52% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1221 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "suddenly" | | 1 | "sharply" | | 2 | "slightly" | | 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) | |
| 18.10% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1221 | | totalAiIsms | 20 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "complex" | | 1 | "weight" | | 2 | "silence" | | 3 | "navigated" | | 4 | "scanning" | | 5 | "stark" | | 6 | "pulse" | | 7 | "gleaming" | | 8 | "could feel" | | 9 | "footsteps" | | 10 | "flicker" | | 11 | "shattered" | | 12 | "perfect" | | 13 | "porcelain" | | 14 | "resolve" | | 15 | "trembled" | | 16 | "tracing" | | 17 | "rhythmic" |
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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 | 72 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 72 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 95 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 52 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1219 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 96.41% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 933 | | uniqueNames | 5 | | maxNameDensity | 1.07 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Brick | 2 | | Lane | 2 | | London | 1 | | Rory | 10 | | Lucien | 5 |
| | persons | | | places | | | globalScore | 0.964 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like he had stepped straight out o" |
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| 35.93% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.641 | | wordCount | 1219 | | matches | | 0 | "not to invite him in, but to clear a path for the door to slam" | | 1 | "not touching, but close enough" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 95 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 27.09 | | std | 20.31 | | cv | 0.75 | | sampleLengths | | 0 | 59 | | 1 | 5 | | 2 | 41 | | 3 | 9 | | 4 | 43 | | 5 | 20 | | 6 | 7 | | 7 | 57 | | 8 | 9 | | 9 | 51 | | 10 | 20 | | 11 | 36 | | 12 | 8 | | 13 | 16 | | 14 | 43 | | 15 | 10 | | 16 | 9 | | 17 | 59 | | 18 | 9 | | 19 | 4 | | 20 | 14 | | 21 | 14 | | 22 | 27 | | 23 | 23 | | 24 | 17 | | 25 | 6 | | 26 | 12 | | 27 | 47 | | 28 | 10 | | 29 | 2 | | 30 | 61 | | 31 | 26 | | 32 | 34 | | 33 | 55 | | 34 | 42 | | 35 | 8 | | 36 | 16 | | 37 | 37 | | 38 | 29 | | 39 | 31 | | 40 | 52 | | 41 | 35 | | 42 | 4 | | 43 | 12 | | 44 | 90 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 72 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 152 | | matches | (empty) | |
| 22.56% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 2 | | flaggedSentences | 4 | | totalSentences | 95 | | ratio | 0.042 | | matches | | 0 | "She looked at his mouth, the thin, firm line of it, and remembered the taste of him—bitter coffee and something dark." | | 1 | "He didn't kiss her; he buried his face in the crook of her neck, inhaling sharply." | | 2 | "It wasn't soft or tentative; it was a reclamation." | | 3 | "The fixer, the broker, the impeccably dressed demon—he had vanished, leaving behind a man who looked starved." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 936 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.02564102564102564 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.009615384615384616 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 95 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 95 | | mean | 12.83 | | std | 7.39 | | cv | 0.576 | | sampleLengths | | 0 | 5 | | 1 | 14 | | 2 | 14 | | 3 | 13 | | 4 | 13 | | 5 | 5 | | 6 | 3 | | 7 | 13 | | 8 | 25 | | 9 | 9 | | 10 | 18 | | 11 | 13 | | 12 | 5 | | 13 | 7 | | 14 | 20 | | 15 | 7 | | 16 | 13 | | 17 | 8 | | 18 | 13 | | 19 | 20 | | 20 | 3 | | 21 | 9 | | 22 | 8 | | 23 | 14 | | 24 | 12 | | 25 | 17 | | 26 | 20 | | 27 | 2 | | 28 | 22 | | 29 | 12 | | 30 | 8 | | 31 | 16 | | 32 | 10 | | 33 | 3 | | 34 | 20 | | 35 | 10 | | 36 | 10 | | 37 | 9 | | 38 | 8 | | 39 | 7 | | 40 | 11 | | 41 | 13 | | 42 | 20 | | 43 | 9 | | 44 | 4 | | 45 | 14 | | 46 | 10 | | 47 | 4 | | 48 | 27 | | 49 | 10 |
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| 34.21% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.24210526315789474 | | totalSentences | 95 | | uniqueOpeners | 23 | |
| 46.95% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 71 | | matches | | 0 | "Instead, she reached up and" |
| | ratio | 0.014 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 71 | | matches | | 0 | "He leaned on his ivory-handled" | | 1 | "He didn't move." | | 2 | "His amber eye caught the" | | 3 | "He looked like he had" | | 4 | "He shifted his weight, sliding" | | 5 | "He didn't push, but the" | | 6 | "He stepped inside, the scent" | | 7 | "He didn't wait for a" | | 8 | "He navigated the narrow entryway," | | 9 | "She crossed her arms, her" | | 10 | "He filled the room, his" | | 11 | "He turned to her, his" | | 12 | "He shifted the cane to" | | 13 | "He took a step closer," | | 14 | "He smelled of the cold" | | 15 | "She grabbed a glass, her" | | 16 | "She didn't look at him," | | 17 | "He didn't walk so much" | | 18 | "He stopped just behind her," | | 19 | "Her blue eyes flashed." |
| | ratio | 0.592 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 70 | | totalSentences | 71 | | matches | | 0 | "Rory yanked the door open." | | 1 | "The hallway of the Brick" | | 2 | "Lucien stood there, a charcoal" | | 3 | "He leaned on his ivory-handled" | | 4 | "Rain clung to his platinum" | | 5 | "He didn't move." | | 6 | "His amber eye caught the" | | 7 | "He looked like he had" | | 8 | "Rory stepped back, not to" | | 9 | "He shifted his weight, sliding" | | 10 | "The movement was fluid, precise." | | 11 | "He didn't push, but the" | | 12 | "He stepped inside, the scent" | | 13 | "He didn't wait for a" | | 14 | "He navigated the narrow entryway," | | 15 | "Ptolemy, the tabby, leaped from" | | 16 | "The cat hissed." | | 17 | "Rory closed the door with" | | 18 | "She crossed her arms, her" | | 19 | "The air in the flat" |
| | ratio | 0.986 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 71 | | matches | (empty) | | ratio | 0 | |
| 79.37% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 4 | | matches | | 0 | "Lucien groaned into her mouth, his grip tightening on her waist, lifting her slightly off her feet." | | 1 | "Rory arched her back, her fingers digging into the platinum blond of his hair, pulling him back up to face her." | | 2 | "Rory opened for him, her world narrowing down to the scent of sandalwood and the weight of him pressing her into the stone." | | 3 | "The rain continued to lash against the windowpanes, blurring the lights of Brick Lane into a smear of neon gold and red, but inside the flat, the only thing tha…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 2 | | matches | | 0 | "he murmured, his voice a low vibration that rattled in her chest" | | 1 | "he challenged, his breath ghosting over her skin" |
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| 34.62% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 3 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "he murmured (murmur)" | | 2 | "he challenged (challenge)" |
| | dialogueSentences | 26 | | tagDensity | 0.115 | | leniency | 0.231 | | rawRatio | 1 | | effectiveRatio | 0.231 | |