| 88.89% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 3 | | adverbTags | | 0 | "Eva said flatly [flatly]" | | 1 | "she said quietly [quietly]" | | 2 | "She gestured vaguely [vaguely]" |
| | dialogueSentences | 54 | | tagDensity | 0.259 | | leniency | 0.519 | | rawRatio | 0.214 | | effectiveRatio | 0.111 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1067 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 71.88% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1067 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "trembled" | | 1 | "warmth" | | 2 | "pulsed" | | 3 | "silence" | | 4 | "traced" | | 5 | "charged" |
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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 | 111 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 9 | | markdownWords | 16 | | totalWords | 1054 | | ratio | 0.015 | | matches | | 0 | "Golden Empress" | | 1 | "needed" | | 2 | "I’m leaving, don’t look for me" | | 3 | "him" | | 4 | "me" | | 5 | "Frenchman" | | 6 | "swore" | | 7 | "did" | | 8 | "extra insight" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 577 | | uniqueNames | 5 | | maxNameDensity | 3.99 | | worstName | "Eva" | | maxWindowNameDensity | 7 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 23 | | East | 1 | | London | 1 | | Rory | 18 | | Silence | 1 |
| | persons | | | places | | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 37 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1054 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 111 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 64 | | mean | 16.47 | | std | 14.23 | | cv | 0.864 | | sampleLengths | | 0 | 21 | | 1 | 13 | | 2 | 57 | | 3 | 35 | | 4 | 28 | | 5 | 24 | | 6 | 40 | | 7 | 7 | | 8 | 47 | | 9 | 6 | | 10 | 61 | | 11 | 14 | | 12 | 15 | | 13 | 2 | | 14 | 14 | | 15 | 18 | | 16 | 6 | | 17 | 17 | | 18 | 2 | | 19 | 12 | | 20 | 16 | | 21 | 11 | | 22 | 6 | | 23 | 53 | | 24 | 5 | | 25 | 37 | | 26 | 16 | | 27 | 10 | | 28 | 20 | | 29 | 17 | | 30 | 13 | | 31 | 12 | | 32 | 1 | | 33 | 25 | | 34 | 8 | | 35 | 9 | | 36 | 6 | | 37 | 34 | | 38 | 12 | | 39 | 6 | | 40 | 2 | | 41 | 15 | | 42 | 31 | | 43 | 29 | | 44 | 10 | | 45 | 18 | | 46 | 34 | | 47 | 4 | | 48 | 35 | | 49 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 72 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 118 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 111 | | ratio | 0.054 | | matches | | 0 | "Eva hadn’t changed—same auburn curls pinned messily atop her head, same smudged reading glasses perched on her nose, same oversized jumper swallowing her frame." | | 1 | "Behind her, the flat breathed—paper-thin walls humming with the curry house’s extractor fan, the creak of old floorboards, the rustle of scrolls as wind slipped through a cracked window." | | 2 | "The warmth hit her first—thick, spiced air layered with old paper, jasmine tea, and the faint metallic tang of dried herbs." | | 3 | "Eva softened—just a fraction." | | 4 | "The scar on her wrist—pale, crescent-shaped—caught the lamplight as she rubbed it absentmindedly." | | 5 | "The air between them shifted—charged, fragile." |
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| 88.79% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 587 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.05281090289608177 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.013628620102214651 | |
| 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 | 9.5 | | std | 7.88 | | cv | 0.83 | | sampleLengths | | 0 | 21 | | 1 | 13 | | 2 | 20 | | 3 | 20 | | 4 | 17 | | 5 | 24 | | 6 | 11 | | 7 | 7 | | 8 | 21 | | 9 | 8 | | 10 | 16 | | 11 | 6 | | 12 | 34 | | 13 | 7 | | 14 | 3 | | 15 | 15 | | 16 | 29 | | 17 | 6 | | 18 | 3 | | 19 | 21 | | 20 | 5 | | 21 | 20 | | 22 | 12 | | 23 | 14 | | 24 | 6 | | 25 | 9 | | 26 | 2 | | 27 | 10 | | 28 | 4 | | 29 | 18 | | 30 | 6 | | 31 | 5 | | 32 | 12 | | 33 | 2 | | 34 | 12 | | 35 | 9 | | 36 | 7 | | 37 | 4 | | 38 | 7 | | 39 | 6 | | 40 | 9 | | 41 | 8 | | 42 | 36 | | 43 | 5 | | 44 | 10 | | 45 | 27 | | 46 | 3 | | 47 | 13 | | 48 | 10 | | 49 | 2 |
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| 57.66% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3783783783783784 | | totalSentences | 111 | | uniqueOpeners | 42 | |
| 57.47% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 58 | | matches | | 0 | "Then, grudgingly, Eva undid the" |
| | ratio | 0.017 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 58 | | matches | | 0 | "Her delivery pouch, still strapped" | | 1 | "Her voice was low, calm," | | 2 | "It whistled a moment later," | | 3 | "she said quietly" | | 4 | "She poured hot water into" | | 5 | "she said, softer now" | | 6 | "She didn’t drink." | | 7 | "Her bright blue eyes met" | | 8 | "She gestured vaguely at the" | | 9 | "She walked to the window," | | 10 | "It glowed faintly blue, then" | | 11 | "She reached out, slow, hesitant," |
| | ratio | 0.207 | |
| 11.72% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 58 | | matches | | 0 | "The chain rattled once, then" | | 1 | "Rory stood on the worn" | | 2 | "Her delivery pouch, still strapped" | | 3 | "Rainwater glistened in her black" | | 4 | "Eva hadn’t changed—same auburn curls" | | 5 | "Her voice was low, calm," | | 6 | "Eva stepped back, didn’t open" | | 7 | "Ptolemy, the tabby, wound around" | | 8 | "Eva’s laugh was brittle" | | 9 | "That stopped her." | | 10 | "Eva exhaled through her nose," | | 11 | "Rory stepped inside." | | 12 | "The warmth hit her first—thick," | | 13 | "Books spilled from sagging shelves." | | 14 | "Scrolls lay unrolled on the" | | 15 | "Symbols Rory didn’t recognize pulsed" | | 16 | "Rory murmured, toeing off her" | | 17 | "Eva said flatly" | | 18 | "Ptolemy circled her legs once," | | 19 | "Eva folded her arms." |
| | ratio | 0.897 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 58 | | matches | (empty) | | ratio | 0 | |
| 74.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 2 | | matches | | 0 | "Rory stood on the worn welcome mat, shoulders hunched against the drizzle that had clung to East London all afternoon." | | 1 | "Rainwater glistened in her black hair, framing a face that had learned to wear stillness like armor." |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 2 | | matches | | 0 | "She gestured vaguely, the life still vibrating in its corners despite her absence" | | 1 | "Eva turned, a real smile breaking through" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 2 | | fancyTags | | 0 | "Rory murmured (murmur)" | | 1 | "she admitted (admit)" |
| | dialogueSentences | 54 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0.222 | | effectiveRatio | 0.074 | |