| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said quietly [quietly]" |
| | dialogueSentences | 50 | | tagDensity | 0.26 | | leniency | 0.52 | | rawRatio | 0.077 | | effectiveRatio | 0.04 | |
| 85.65% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1045 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "very" | | 1 | "carefully" | | 2 | "suddenly" |
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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) | |
| 71.29% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1045 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "stomach" | | 1 | "silence" | | 2 | "weight" | | 3 | "traced" | | 4 | "constructed" | | 5 | "unspoken" |
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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 | 60 | | matches | (empty) | |
| 95.24% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 60 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 97 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1051 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 668 | | uniqueNames | 11 | | maxNameDensity | 1.2 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 5 | | Ptolemy | 5 | | Smooth | 1 | | Marseille | 1 | | Mayfair | 1 | | Lucien | 8 | | Moreau | 1 | | Through | 1 | | Bollywood | 1 | | Rory | 3 | | Three | 3 |
| | persons | | 0 | "Eva" | | 1 | "Ptolemy" | | 2 | "Lucien" | | 3 | "Moreau" | | 4 | "Through" | | 5 | "Rory" |
| | places | | | globalScore | 0.901 | | windowScore | 0.833 | |
| 95.65% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1051 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 97 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 19.11 | | std | 15.26 | | cv | 0.799 | | sampleLengths | | 0 | 41 | | 1 | 5 | | 2 | 28 | | 3 | 32 | | 4 | 41 | | 5 | 5 | | 6 | 10 | | 7 | 3 | | 8 | 36 | | 9 | 5 | | 10 | 66 | | 11 | 25 | | 12 | 4 | | 13 | 30 | | 14 | 4 | | 15 | 12 | | 16 | 4 | | 17 | 24 | | 18 | 6 | | 19 | 35 | | 20 | 3 | | 21 | 15 | | 22 | 31 | | 23 | 3 | | 24 | 17 | | 25 | 5 | | 26 | 26 | | 27 | 14 | | 28 | 19 | | 29 | 8 | | 30 | 24 | | 31 | 10 | | 32 | 31 | | 33 | 2 | | 34 | 38 | | 35 | 1 | | 36 | 19 | | 37 | 30 | | 38 | 2 | | 39 | 27 | | 40 | 17 | | 41 | 12 | | 42 | 42 | | 43 | 48 | | 44 | 5 | | 45 | 8 | | 46 | 38 | | 47 | 16 | | 48 | 5 | | 49 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 60 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 111 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 97 | | ratio | 0.052 | | matches | | 0 | "Then came the soft tap of his cane against the door — ivory on wood, a sound she'd know anywhere." | | 1 | "The door swung open to reveal Lucien Moreau in all his immaculate glory — charcoal suit without a wrinkle, platinum hair catching the dim hallway light." | | 2 | "Lucien surveyed the chaos of Eva's flat — books piled on every surface, crystals humming with latent energy, herbs drying from the ceiling beams." | | 3 | "Lucien's eyes — both of them — darkened." | | 4 | "He smelled the same — cardamom and expensive cologne, with that underlying hint of brimstone that marked his heritage." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 662 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.03927492447129909 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.01661631419939577 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 97 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 97 | | mean | 10.84 | | std | 6.84 | | cv | 0.632 | | sampleLengths | | 0 | 8 | | 1 | 17 | | 2 | 4 | | 3 | 12 | | 4 | 5 | | 5 | 8 | | 6 | 20 | | 7 | 12 | | 8 | 16 | | 9 | 4 | | 10 | 9 | | 11 | 8 | | 12 | 24 | | 13 | 5 | | 14 | 10 | | 15 | 3 | | 16 | 16 | | 17 | 20 | | 18 | 5 | | 19 | 7 | | 20 | 17 | | 21 | 26 | | 22 | 16 | | 23 | 19 | | 24 | 6 | | 25 | 4 | | 26 | 11 | | 27 | 14 | | 28 | 5 | | 29 | 4 | | 30 | 12 | | 31 | 4 | | 32 | 13 | | 33 | 11 | | 34 | 6 | | 35 | 24 | | 36 | 11 | | 37 | 3 | | 38 | 11 | | 39 | 4 | | 40 | 17 | | 41 | 1 | | 42 | 1 | | 43 | 12 | | 44 | 3 | | 45 | 7 | | 46 | 10 | | 47 | 5 | | 48 | 15 | | 49 | 11 |
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| 86.60% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.5257731958762887 | | totalSentences | 97 | | uniqueOpeners | 51 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 58 | | matches | | 0 | "Then came the soft tap" | | 1 | "Somewhere below, the curry house's" |
| | ratio | 0.034 | |
| 47.59% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 58 | | matches | | 0 | "She set the curry aside" | | 1 | "She pressed her forehead against" | | 2 | "Her fingers moved to the" | | 3 | "His heterochromatic eyes met hers," | | 4 | "His gaze traveled over her" | | 5 | "He shifted his weight on" | | 6 | "She stepped aside without answering," | | 7 | "His nose wrinkled at the" | | 8 | "She crossed her arms" | | 9 | "He turned to face her," | | 10 | "She gripped the back of" | | 11 | "His jaw tightened." | | 12 | "She bit off the words," | | 13 | "She heard him move closer," | | 14 | "He smelled the same —" | | 15 | "It made her chest ache." | | 16 | "She kept her eyes fixed" | | 17 | "His reflection appeared in the" | | 18 | "She laughed, bitter and sharp." | | 19 | "She spun to face him," |
| | ratio | 0.431 | |
| 46.21% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 48 | | totalSentences | 58 | | matches | | 0 | "The knock rattled through Eva's" | | 1 | "Rory froze, chopsticks halfway to" | | 2 | "Nobody visited Eva's place." | | 3 | "Another knock, sharper this time." | | 4 | "Rory called through the door" | | 5 | "She set the curry aside" | | 6 | "The voice on the other" | | 7 | "She pressed her forehead against" | | 8 | "Silence stretched between them, broken" | | 9 | "The name hit her like" | | 10 | "Her fingers moved to the" | | 11 | "The door swung open to" | | 12 | "His heterochromatic eyes met hers," | | 13 | "His gaze traveled over her" | | 14 | "He shifted his weight on" | | 15 | "Lucien only leaned on it" | | 16 | "She stepped aside without answering," | | 17 | "Ptolemy immediately began investigating his" | | 18 | "Rory muttered at the cat" | | 19 | "Lucien surveyed the chaos of" |
| | ratio | 0.828 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 58 | | matches | (empty) | | ratio | 0 | |
| 66.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 3 | | matches | | 0 | "He smelled the same — cardamom and expensive cologne, with that underlying hint of brimstone that marked his heritage." | | 1 | "His cane hit the floor with a crack that made Ptolemy bolt for the bedroom." | | 2 | "Somewhere below, the curry house's music drifted up through the floorboards, a Bollywood love song that felt like mockery." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | 0 | "Rory muttered (mutter)" |
| | dialogueSentences | 50 | | tagDensity | 0.06 | | leniency | 0.12 | | rawRatio | 0.333 | | effectiveRatio | 0.04 | |