| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 3 | | adverbTags | | 0 | "His accent wrapped around [around]" | | 1 | "She stepped fully [fully]" | | 2 | "he said quietly [quietly]" |
| | dialogueSentences | 64 | | tagDensity | 0.328 | | leniency | 0.656 | | rawRatio | 0.143 | | effectiveRatio | 0.094 | |
| 50.53% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1314 | | totalAiIsmAdverbs | 13 | | found | | | highlights | | 0 | "slightly" | | 1 | "quickly" | | 2 | "suddenly" | | 3 | "really" | | 4 | "precisely" | | 5 | "very" | | 6 | "slowly" | | 7 | "carefully" |
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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) | |
| 39.12% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1314 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "silk" | | 1 | "weight" | | 2 | "navigated" | | 3 | "flickered" | | 4 | "ensure" | | 5 | "eyebrow" | | 6 | "disrupt" | | 7 | "familiar" | | 8 | "pulse" | | 9 | "quickened" | | 10 | "tension" | | 11 | "facade" | | 12 | "wavered" | | 13 | "whisper" | | 14 | "constructed" |
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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 | 71 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 71 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 111 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1304 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 20 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 790 | | uniqueNames | 12 | | maxNameDensity | 0.51 | | worstName | "Eva" | | maxWindowNameDensity | 1 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 3 | | Moreau | 1 | | Eva | 4 | | Ptolemy | 1 | | Four | 1 | | Mayfair | 1 | | Golden | 1 | | Empress | 1 | | Shoreditch | 1 | | Heat | 1 | | Evan | 1 | | Rory | 4 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Eva" | | 3 | "Ptolemy" | | 4 | "Heat" | | 5 | "Evan" | | 6 | "Rory" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 51.96% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 2 | | matches | | 0 | "quite read" | | 1 | "as if expecting her to pull away" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1304 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 111 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 26.61 | | std | 18.43 | | cv | 0.693 | | sampleLengths | | 0 | 46 | | 1 | 9 | | 2 | 29 | | 3 | 1 | | 4 | 1 | | 5 | 42 | | 6 | 32 | | 7 | 65 | | 8 | 28 | | 9 | 25 | | 10 | 4 | | 11 | 4 | | 12 | 15 | | 13 | 20 | | 14 | 66 | | 15 | 42 | | 16 | 6 | | 17 | 42 | | 18 | 13 | | 19 | 43 | | 20 | 49 | | 21 | 15 | | 22 | 42 | | 23 | 6 | | 24 | 62 | | 25 | 24 | | 26 | 33 | | 27 | 8 | | 28 | 58 | | 29 | 5 | | 30 | 46 | | 31 | 26 | | 32 | 32 | | 33 | 5 | | 34 | 3 | | 35 | 55 | | 36 | 49 | | 37 | 30 | | 38 | 12 | | 39 | 35 | | 40 | 1 | | 41 | 15 | | 42 | 15 | | 43 | 20 | | 44 | 12 | | 45 | 18 | | 46 | 27 | | 47 | 35 | | 48 | 33 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 71 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 147 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 111 | | ratio | 0.072 | | matches | | 0 | "His mismatched eyes—one amber, one black—met hers with an expression she couldn't quite read." | | 1 | "That his world—the supernatural underworld he navigated with such ease—was too dangerous for someone like her." | | 2 | "Something flickered across his face—there and gone so quickly she almost missed it." | | 3 | "\"The sentiment was clear enough.\" Rory crossed her arms, suddenly aware she was still in her delivery uniform—the Golden Empress polo shirt stained with sweet and sour sauce from a particularly eventful drop-off in Shoreditch." | | 4 | "\"Getting involved. Precisely.\" He took a step closer, and she caught the familiar scent of his cologne—bergamot and something darker, something that reminded her of smoke and old books." | | 5 | "He was close enough now that she could see the faint shadow along his jaw, the way his collar sat slightly loose—unusual for someone who dressed with such precision." | | 6 | "His fingers brushed the small crescent scar on her left wrist—an old habit from nights spent tangled together in his sheets, when he'd trace it absently and she'd pretend not to notice." | | 7 | "His skin was warmer than she remembered—the demon blood that ran through his veins keeping him just above human temperature." |
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| 88.09% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 802 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 43 | | adverbRatio | 0.05361596009975062 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.018703241895261846 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 111 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 111 | | mean | 11.75 | | std | 8.98 | | cv | 0.765 | | sampleLengths | | 0 | 20 | | 1 | 14 | | 2 | 12 | | 3 | 6 | | 4 | 3 | | 5 | 16 | | 6 | 9 | | 7 | 4 | | 8 | 1 | | 9 | 1 | | 10 | 22 | | 11 | 13 | | 12 | 7 | | 13 | 22 | | 14 | 10 | | 15 | 10 | | 16 | 2 | | 17 | 34 | | 18 | 16 | | 19 | 1 | | 20 | 1 | | 21 | 1 | | 22 | 3 | | 23 | 25 | | 24 | 14 | | 25 | 11 | | 26 | 4 | | 27 | 4 | | 28 | 15 | | 29 | 13 | | 30 | 7 | | 31 | 35 | | 32 | 23 | | 33 | 2 | | 34 | 6 | | 35 | 13 | | 36 | 8 | | 37 | 21 | | 38 | 6 | | 39 | 5 | | 40 | 37 | | 41 | 5 | | 42 | 8 | | 43 | 29 | | 44 | 14 | | 45 | 14 | | 46 | 29 | | 47 | 6 | | 48 | 8 | | 49 | 7 |
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| 79.58% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.5045045045045045 | | totalSentences | 111 | | uniqueOpeners | 56 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 65 | | matches | | 0 | "Then something cracked." | | 1 | "Somewhere below, bass thumped from" | | 2 | "Instead, she turned her wrist," | | 3 | "Then he was gone, disappearing" |
| | ratio | 0.062 | |
| 35.38% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 65 | | matches | | 0 | "His mismatched eyes—one amber, one" | | 1 | "His accent wrapped around the" | | 2 | "He tilted his head, platinum" | | 3 | "She didn't move from the" | | 4 | "He shifted his weight slightly," | | 5 | "It had been four months" | | 6 | "She'd believed him." | | 7 | "She'd come straight to Eva's" | | 8 | "He was quiet for a" | | 9 | "He took a step closer," | | 10 | "He was close enough now" | | 11 | "It was a lie" | | 12 | "He looked devastating, as always," | | 13 | "She stepped fully into the" | | 14 | "She moved closer, watching his" | | 15 | "His jaw tightened." | | 16 | "he said quietly" | | 17 | "His hand shifted on the" | | 18 | "He stopped, something warring behind" | | 19 | "He reached out slowly, carefully," |
| | ratio | 0.462 | |
| 67.69% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 65 | | matches | | 0 | "The door swung open to" | | 1 | "His mismatched eyes—one amber, one" | | 2 | "The ivory handle of his" | | 3 | "Rory's hand tightened on the" | | 4 | "His accent wrapped around the" | | 5 | "He tilted his head, platinum" | | 6 | "She didn't move from the" | | 7 | "He shifted his weight slightly," | | 8 | "The words came out sharper" | | 9 | "It had been four months" | | 10 | "That his world—the supernatural underworld" | | 11 | "She'd believed him." | | 12 | "Lucien said, his tone shifting" | | 13 | "Something flickered across his face—there" | | 14 | "Rory crossed her arms, suddenly" | | 15 | "She'd come straight to Eva's" | | 16 | "He was quiet for a" | | 17 | "Heat crept up her neck." | | 18 | "He took a step closer," | | 19 | "He was close enough now" |
| | ratio | 0.785 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 57.14% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 3 | | matches | | 0 | "She'd come straight to Eva's after her shift, desperate for research help on the strange symbol that had appeared on her apartment door." | | 1 | "He was close enough now that she could see the faint shadow along his jaw, the way his collar sat slightly loose—unusual for someone who dressed with such preci…" | | 2 | "Then he was gone, disappearing down the stairwell like smoke, leaving her standing in the hallway with her heart hammering against her ribs and four months of c…" |
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| 29.76% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 4 | | matches | | 0 | "Lucien said, his tone shifting to something more businesslike" | | 1 | "she said, her pulse quickened" | | 2 | "He stopped, something warring behind his expression" | | 3 | "He stopped, seeming to reconsider" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 64 | | tagDensity | 0.094 | | leniency | 0.188 | | rawRatio | 0 | | effectiveRatio | 0 | |