| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "Rory stepped around [around]" |
| | dialogueSentences | 45 | | tagDensity | 0.267 | | leniency | 0.533 | | rawRatio | 0.083 | | effectiveRatio | 0.044 | |
| 82.49% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1142 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "completely" | | 1 | "very" | | 2 | "suddenly" |
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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) | |
| 51.84% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1142 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "echoing" | | 1 | "oppressive" | | 2 | "rhythmic" | | 3 | "weight" | | 4 | "predictable" | | 5 | "velvet" | | 6 | "silence" | | 7 | "electric" | | 8 | "eyebrow" | | 9 | "sanctuary" | | 10 | "warmth" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 69 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 69 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 102 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1142 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 13.70% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 697 | | uniqueNames | 9 | | maxNameDensity | 2.73 | | worstName | "Rory" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Rory" | | discoveredNames | | Soho | 1 | | Italian | 1 | | Rory | 19 | | Golden | 1 | | Empress | 1 | | Eva | 13 | | Silas | 4 | | Raven | 1 | | Nest | 1 |
| | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "Silas" | | 3 | "Raven" | | 4 | "Nest" |
| | places | | | globalScore | 0.137 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like an electric shock" |
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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 | 1142 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 102 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 21.55 | | std | 19.14 | | cv | 0.888 | | sampleLengths | | 0 | 60 | | 1 | 13 | | 2 | 60 | | 3 | 9 | | 4 | 45 | | 5 | 1 | | 6 | 32 | | 7 | 7 | | 8 | 10 | | 9 | 6 | | 10 | 23 | | 11 | 2 | | 12 | 49 | | 13 | 16 | | 14 | 6 | | 15 | 1 | | 16 | 12 | | 17 | 1 | | 18 | 54 | | 19 | 3 | | 20 | 26 | | 21 | 40 | | 22 | 2 | | 23 | 33 | | 24 | 25 | | 25 | 16 | | 26 | 49 | | 27 | 5 | | 28 | 47 | | 29 | 2 | | 30 | 53 | | 31 | 4 | | 32 | 26 | | 33 | 42 | | 34 | 7 | | 35 | 49 | | 36 | 2 | | 37 | 14 | | 38 | 26 | | 39 | 3 | | 40 | 4 | | 41 | 46 | | 42 | 6 | | 43 | 10 | | 44 | 6 | | 45 | 3 | | 46 | 45 | | 47 | 12 | | 48 | 16 | | 49 | 28 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 69 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 112 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 102 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 701 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 11 | | adverbRatio | 0.015691868758915834 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.008559201141226819 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 102 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 102 | | mean | 11.2 | | std | 7.85 | | cv | 0.701 | | sampleLengths | | 0 | 15 | | 1 | 17 | | 2 | 3 | | 3 | 25 | | 4 | 2 | | 5 | 11 | | 6 | 3 | | 7 | 18 | | 8 | 13 | | 9 | 9 | | 10 | 17 | | 11 | 9 | | 12 | 8 | | 13 | 20 | | 14 | 10 | | 15 | 7 | | 16 | 1 | | 17 | 3 | | 18 | 21 | | 19 | 8 | | 20 | 7 | | 21 | 4 | | 22 | 6 | | 23 | 6 | | 24 | 20 | | 25 | 3 | | 26 | 2 | | 27 | 30 | | 28 | 19 | | 29 | 8 | | 30 | 8 | | 31 | 6 | | 32 | 1 | | 33 | 9 | | 34 | 3 | | 35 | 1 | | 36 | 20 | | 37 | 34 | | 38 | 3 | | 39 | 26 | | 40 | 7 | | 41 | 12 | | 42 | 14 | | 43 | 7 | | 44 | 2 | | 45 | 14 | | 46 | 19 | | 47 | 5 | | 48 | 4 | | 49 | 16 |
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| 39.22% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.28431372549019607 | | totalSentences | 102 | | uniqueOpeners | 29 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 66 | | matches | (empty) | | ratio | 0 | |
| 86.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 66 | | matches | | 0 | "She didn't flinch." | | 1 | "She focused on the rhythm," | | 2 | "She wore a tailored, long" | | 3 | "It was deeper than it" | | 4 | "She tilted her head, her" | | 5 | "It landed with a wet" | | 6 | "She subconsciously rubbed the small" | | 7 | "He didn't look at Eva," | | 8 | "He smelled of cedarwood and" | | 9 | "He recognized the tone." | | 10 | "He had spent decades dealing" | | 11 | "Her hands shook, a slight" | | 12 | "She poured the gin, the" | | 13 | "She added the tonic, the" | | 14 | "She didn't finish the drink." | | 15 | "She slid it across the" | | 16 | "She looked at Silas." | | 17 | "He had shifted his stance," | | 18 | "He could smell the danger" | | 19 | "She looked back over her" |
| | ratio | 0.333 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 66 | | matches | | 0 | "Rory scrubbed a stubborn ring" | | 1 | "The cloth snagged on a" | | 2 | "She didn't flinch." | | 3 | "She focused on the rhythm," | | 4 | "Rory looked up." | | 5 | "A woman stood by the" | | 6 | "She wore a tailored, long" | | 7 | "A small, square leather handbag" | | 8 | "The woman stepped forward, the" | | 9 | "the woman said" | | 10 | "The voice hit Rory like" | | 11 | "It was deeper than it" | | 12 | "The same sharp tilt at" | | 13 | "The same way she swallowed" | | 14 | "The woman stopped." | | 15 | "She tilted her head, her" | | 16 | "A slow, thin smile stretched" | | 17 | "Rory dropped the rag." | | 18 | "It landed with a wet" | | 19 | "Eva stepped closer, the jasmine" |
| | ratio | 0.97 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 66 | | matches | (empty) | | ratio | 0 | |
| 93.60% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 2 | | matches | | 0 | "She wore a tailored, long black Italian wool coat that swept her ankles." | | 1 | "Her hands shook, a slight tremor that made the glass bottle clink against the rim of the tumbler." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 5 | | matches | | 0 | "Eva stepped, the jasmine scent becoming an oppressive wall" | | 1 | "Silas muttered, though his eyes remained on Eva" | | 2 | "Eva took, her fingers brushing Rory's" | | 3 | "Eva straightened, the fabric rustling" | | 4 | "Rory stepped around, her voice cracking" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | 0 | "Silas muttered (mutter)" |
| | dialogueSentences | 45 | | tagDensity | 0.067 | | leniency | 0.133 | | rawRatio | 0.333 | | effectiveRatio | 0.044 | |