| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 2 | | adverbTags | | 0 | "He stepped further [further]" | | 1 | "He turned fully [fully]" |
| | dialogueSentences | 49 | | tagDensity | 0.306 | | leniency | 0.612 | | rawRatio | 0.133 | | effectiveRatio | 0.082 | |
| 91.27% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1145 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 69.43% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1145 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "tracing" | | 1 | "pulse" | | 2 | "unreadable" | | 3 | "lilt" | | 4 | "flickered" | | 5 | "intensity" |
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| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "let out a breath" | | count | 1 |
| | 1 | | label | "knuckles turned white" | | count | 1 |
| | 2 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "let out a breath" | | 1 | "knuckles went white" | | 2 | "hung in the air" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 67 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 67 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 101 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 3 | | totalWords | 1139 | | ratio | 0.003 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 878 | | uniqueNames | 13 | | maxNameDensity | 0.34 | | worstName | "Eva" | | maxWindowNameDensity | 1 | | worstWindowName | "Eva" | | discoveredNames | | Aurora | 1 | | London | 2 | | French | 1 | | Eva | 3 | | Yu | 1 | | Fei | 1 | | Leicester | 1 | | Square | 1 | | Lucien | 2 | | Moreau | 1 | | Frenchman | 1 | | Close | 1 | | Persian | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Eva" | | 2 | "Fei" | | 3 | "Lucien" | | 4 | "Moreau" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 3 | | matches | | 0 | "smelled like old paper and cardamom tea" | | 1 | "tasted like danger" | | 2 | "as if bracing against something" |
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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 | 1139 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 101 | | matches | | 0 | "carried that French" | | 1 | "trust that this" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 21.9 | | std | 23.07 | | cv | 1.053 | | sampleLengths | | 0 | 12 | | 1 | 92 | | 2 | 1 | | 3 | 53 | | 4 | 4 | | 5 | 33 | | 6 | 53 | | 7 | 5 | | 8 | 28 | | 9 | 3 | | 10 | 14 | | 11 | 73 | | 12 | 4 | | 13 | 26 | | 14 | 13 | | 15 | 14 | | 16 | 80 | | 17 | 4 | | 18 | 22 | | 19 | 42 | | 20 | 3 | | 21 | 11 | | 22 | 6 | | 23 | 62 | | 24 | 7 | | 25 | 2 | | 26 | 2 | | 27 | 2 | | 28 | 19 | | 29 | 4 | | 30 | 24 | | 31 | 4 | | 32 | 14 | | 33 | 34 | | 34 | 6 | | 35 | 67 | | 36 | 31 | | 37 | 6 | | 38 | 37 | | 39 | 7 | | 40 | 3 | | 41 | 16 | | 42 | 41 | | 43 | 45 | | 44 | 5 | | 45 | 3 | | 46 | 2 | | 47 | 1 | | 48 | 56 | | 49 | 8 |
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| 94.79% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 67 | | matches | | 0 | "was rumpled" | | 1 | "were fixed" |
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| 66.67% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 150 | | matches | | 0 | "were already tracing" | | 1 | "was, standing" | | 2 | "was tearing" |
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| 29.70% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 101 | | ratio | 0.04 | | matches | | 0 | "The ivory handle of his cane peeked from beneath his coat, and when he stepped into the room, she caught the faint scent of bergamot and something darker—like smoke from a distant fire." | | 1 | "But her fingers were already tracing the scar on her wrist, a nervous habit when her pulse spiked, and her bright blue eyes were fixed on his heterochromatic ones—the amber one burning with something desperate, the black one unreadable as ever." | | 2 | "Her delivery uniform still hung crumpled in the hallway basket—Yu-Fei would have it back tomorrow." | | 3 | "Should have known that when Lucien Moreau—the Frenchman with the cane and the secrets and the way he looked at her like she was the only honest thing in his crooked world—walked away, it would leave a hollow space shaped exactly like his absence." |
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| 92.39% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 883 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 43 | | adverbRatio | 0.04869762174405436 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.0056625141562853904 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 101 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 101 | | mean | 11.28 | | std | 9.55 | | cv | 0.847 | | sampleLengths | | 0 | 12 | | 1 | 20 | | 2 | 39 | | 3 | 33 | | 4 | 1 | | 5 | 7 | | 6 | 5 | | 7 | 41 | | 8 | 4 | | 9 | 23 | | 10 | 10 | | 11 | 9 | | 12 | 14 | | 13 | 21 | | 14 | 2 | | 15 | 2 | | 16 | 5 | | 17 | 5 | | 18 | 13 | | 19 | 7 | | 20 | 8 | | 21 | 3 | | 22 | 11 | | 23 | 3 | | 24 | 5 | | 25 | 22 | | 26 | 15 | | 27 | 31 | | 28 | 4 | | 29 | 10 | | 30 | 7 | | 31 | 9 | | 32 | 12 | | 33 | 1 | | 34 | 14 | | 35 | 7 | | 36 | 6 | | 37 | 44 | | 38 | 3 | | 39 | 20 | | 40 | 4 | | 41 | 14 | | 42 | 8 | | 43 | 14 | | 44 | 20 | | 45 | 8 | | 46 | 3 | | 47 | 5 | | 48 | 6 | | 49 | 6 |
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| 54.79% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.37623762376237624 | | totalSentences | 101 | | uniqueOpeners | 38 | |
| 58.48% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 57 | | matches | | 0 | "Instead, she was here, in" |
| | ratio | 0.018 | |
| 51.58% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 57 | | matches | | 0 | "His charcoal suit was rumpled," | | 1 | "She should have pulled the" | | 2 | "His voice carried that French" | | 3 | "She’d never been this careless." | | 4 | "He stepped further inside, cane" | | 5 | "He let out a breath" | | 6 | "She crossed to the window," | | 7 | "Her delivery uniform still hung" | | 8 | "His knee bent, just slightly," | | 9 | "She turned then, and the" | | 10 | "She should have seen this" | | 11 | "He removed his coat, revealing" | | 12 | "She crossed the room anyway," | | 13 | "She laughed, bitter and sharp." | | 14 | "She wanted to believe it" | | 15 | "It was them." | | 16 | "She stepped back, her heel" | | 17 | "She wiped her palms on" | | 18 | "He was closer now, close" | | 19 | "His fingers found his cane," |
| | ratio | 0.421 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 41 | | totalSentences | 57 | | matches | | 0 | "The door swung open before" | | 1 | "Lucien stood in the hallway," | | 2 | "His charcoal suit was rumpled," | | 3 | "The ivory handle of his" | | 4 | "She should have pulled the" | | 5 | "His voice carried that French" | | 6 | "The flat smelled like old" | | 7 | "Books sprawled across every surface," | | 8 | "Ptolemy the tabby had vanished" | | 9 | "She’d never been this careless." | | 10 | "He stepped further inside, cane" | | 11 | "A sound like a metronome" | | 12 | "He let out a breath" | | 13 | "The air between them thickened." | | 14 | "She crossed to the window," | | 15 | "Her delivery uniform still hung" | | 16 | "His knee bent, just slightly," | | 17 | "She turned then, and the" | | 18 | "The words hit like a" | | 19 | "She should have seen this" |
| | ratio | 0.719 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 57 | | matches | (empty) | | ratio | 0 | |
| 95.24% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 2 | | matches | | 0 | "His charcoal suit was rumpled, the platinum streak in his hair disheveled, and there was a fresh scratch across his left cheekbone that hadn’t been there yester…" | | 1 | "His knee bent, just slightly, as if bracing against something." |
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| 91.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 1 | | matches | | 0 | "He stepped further, cane tapping once against the floorboard" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 49 | | tagDensity | 0.122 | | leniency | 0.245 | | rawRatio | 0 | | effectiveRatio | 0 | |