| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 1 | | adverbTags | | 0 | "Rory's eyes darted around [around]" |
| | dialogueSentences | 41 | | tagDensity | 0.439 | | leniency | 0.878 | | rawRatio | 0.056 | | effectiveRatio | 0.049 | |
| 77.60% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1116 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "truly" | | 1 | "completely" | | 2 | "slightly" | | 3 | "really" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 37.28% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1116 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "silence" | | 1 | "warmth" | | 2 | "familiar" | | 3 | "navigated" | | 4 | "scanned" | | 5 | "gloom" | | 6 | "traced" | | 7 | "weight" | | 8 | "reminder" | | 9 | "could feel" | | 10 | "unspoken" | | 11 | "flickered" |
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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 | 1 | | narrationSentences | 75 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 75 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1108 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 839 | | uniqueNames | 7 | | maxNameDensity | 1.43 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Cardiff | 2 | | Rory | 12 | | Silas | 4 | | Evan | 9 | | London | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Silas" | | 4 | "Evan" |
| | places | | | globalScore | 0.785 | | windowScore | 0.667 | |
| 27.05% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 3 | | matches | | 0 | "something like old paper and secrets—wrapped" | | 1 | "as if bracing for impact" | | 2 | "Some promises apparently didn't mean as much" |
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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 | 1108 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 25.18 | | std | 14.79 | | cv | 0.587 | | sampleLengths | | 0 | 73 | | 1 | 51 | | 2 | 56 | | 3 | 2 | | 4 | 22 | | 5 | 31 | | 6 | 3 | | 7 | 40 | | 8 | 22 | | 9 | 4 | | 10 | 39 | | 11 | 1 | | 12 | 25 | | 13 | 30 | | 14 | 18 | | 15 | 24 | | 16 | 13 | | 17 | 26 | | 18 | 17 | | 19 | 26 | | 20 | 17 | | 21 | 23 | | 22 | 15 | | 23 | 24 | | 24 | 21 | | 25 | 14 | | 26 | 36 | | 27 | 40 | | 28 | 11 | | 29 | 21 | | 30 | 37 | | 31 | 12 | | 32 | 48 | | 33 | 15 | | 34 | 16 | | 35 | 20 | | 36 | 38 | | 37 | 11 | | 38 | 33 | | 39 | 35 | | 40 | 24 | | 41 | 15 | | 42 | 17 | | 43 | 42 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 75 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 130 | | matches | (empty) | |
| 53.57% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 96 | | ratio | 0.031 | | matches | | 0 | "The familiar scent of aged wood, polished brass, and something else—something like old paper and secrets—wrapped around her." | | 1 | "The messy dark hair, the sharp line of his jaw, the way he held himself—slightly hunched, as if bracing for impact." | | 2 | "Rory's fingers brushed against the small crescent-shaped scar on her left wrist—a reminder of a different time, a different accident from long before Evan." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 847 | | adjectiveStacks | 2 | | stackExamples | | 0 | "same deep brown she" | | 1 | "small crescent-shaped scar" |
| | adverbCount | 24 | | adverbRatio | 0.02833530106257379 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.015348288075560802 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 11.54 | | std | 7.32 | | cv | 0.635 | | sampleLengths | | 0 | 16 | | 1 | 14 | | 2 | 16 | | 3 | 4 | | 4 | 23 | | 5 | 18 | | 6 | 18 | | 7 | 15 | | 8 | 19 | | 9 | 21 | | 10 | 16 | | 11 | 2 | | 12 | 20 | | 13 | 2 | | 14 | 19 | | 15 | 7 | | 16 | 5 | | 17 | 2 | | 18 | 1 | | 19 | 40 | | 20 | 3 | | 21 | 8 | | 22 | 11 | | 23 | 1 | | 24 | 3 | | 25 | 11 | | 26 | 7 | | 27 | 21 | | 28 | 1 | | 29 | 2 | | 30 | 7 | | 31 | 16 | | 32 | 11 | | 33 | 17 | | 34 | 1 | | 35 | 1 | | 36 | 13 | | 37 | 5 | | 38 | 16 | | 39 | 8 | | 40 | 12 | | 41 | 1 | | 42 | 14 | | 43 | 12 | | 44 | 11 | | 45 | 6 | | 46 | 21 | | 47 | 5 | | 48 | 5 | | 49 | 12 |
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| 68.75% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4375 | | totalSentences | 96 | | uniqueOpeners | 42 | |
| 49.75% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 67 | | matches | | 0 | "Instead, she felt nothing but" |
| | ratio | 0.015 | |
| 58.81% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 67 | | matches | | 0 | "She yanked the helmet from" | | 1 | "She slid onto her usual" | | 2 | "He placed a glass of" | | 3 | "She ran a hand through" | | 4 | "His hazel eyes scanned the" | | 5 | "It couldn't be." | | 6 | "She slid off the stool," | | 7 | "He looked up as she" | | 8 | "They were still the same" | | 9 | "His voice was rough, as" | | 10 | "Her voice was steady, belying" | | 11 | "She clenched them into fists" | | 12 | "He gestured to the seat" | | 13 | "She kept her distance, pressing" | | 14 | "She'd chopped it off the" | | 15 | "His fingers traced patterns on" | | 16 | "He trailed off, shaking his" | | 17 | "He'd lost weight, and not" | | 18 | "she said, her voice flat" | | 19 | "He met her eyes then," |
| | ratio | 0.403 | |
| 4.78% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 67 | | matches | | 0 | "The green neon sign of" | | 1 | "Rory pulled her delivery scooter" | | 2 | "She yanked the helmet from" | | 3 | "Another late shift done." | | 4 | "Another stack of tips in" | | 5 | "The door to the bar" | | 6 | "The familiar scent of aged" | | 7 | "This was her second home" | | 8 | "She slid onto her usual" | | 9 | "Silas moved toward her without" | | 10 | "He placed a glass of" | | 11 | "She ran a hand through" | | 12 | "His hazel eyes scanned the" | | 13 | "The man never truly relaxed," | | 14 | "Silas gestured with his chin" | | 15 | "Rory turned, squinting." | | 16 | "A figure sat alone, half-hidden" | | 17 | "It couldn't be." | | 18 | "She slid off the stool," | | 19 | "The messy dark hair, the" |
| | ratio | 0.91 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 1 | | matches | | 0 | "The messy dark hair, the sharp line of his jaw, the way he held himself—slightly hunched, as if bracing for impact." |
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| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 2 | | matches | | 0 | "Evan said, his gaze traveling over her face, her body" | | 1 | "she said, her voice flat" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 41 | | tagDensity | 0.098 | | leniency | 0.195 | | rawRatio | 0 | | effectiveRatio | 0 | |