| 18.18% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 4 | | adverbTags | | 0 | "Eva stepped aside [aside]" | | 1 | "Lucien's cane tapped once [once]" | | 2 | "she said finally [finally]" | | 3 | "Rory said quietly [quietly]" |
| | dialogueSentences | 44 | | tagDensity | 0.386 | | leniency | 0.773 | | rawRatio | 0.235 | | effectiveRatio | 0.182 | |
| 87.87% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1237 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "very" | | 1 | "carefully" | | 2 | "truly" |
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| 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) | |
| 27.24% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1237 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "familiar" | | 1 | "intensity" | | 2 | "silk" | | 3 | "charged" | | 4 | "resolve" | | 5 | "tension" | | 6 | "chilled" | | 7 | "unreadable" | | 8 | "magnetic" | | 9 | "potential" | | 10 | "weight" | | 11 | "rhythmic" | | 12 | "silence" | | 13 | "flickered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 62 | | matches | (empty) | |
| 73.73% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 62 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 87 | | 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 | 0 | | markdownWords | 0 | | totalWords | 1239 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 21.30% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 55 | | wordCount | 777 | | uniqueNames | 8 | | maxNameDensity | 2.57 | | worstName | "Rory" | | maxWindowNameDensity | 4 | | worstWindowName | "Rory" | | discoveredNames | | Eva | 17 | | Rory | 20 | | Moreau | 1 | | French | 1 | | Ptolemy | 2 | | Heat | 1 | | Lucien | 12 | | London | 1 |
| | persons | | 0 | "Eva" | | 1 | "Rory" | | 2 | "Moreau" | | 3 | "Ptolemy" | | 4 | "Heat" | | 5 | "Lucien" |
| | places | | | globalScore | 0.213 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | 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 | 1239 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 87 | | matches | (empty) | |
| 93.92% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 25.29 | | std | 12.1 | | cv | 0.479 | | sampleLengths | | 0 | 50 | | 1 | 8 | | 2 | 41 | | 3 | 40 | | 4 | 7 | | 5 | 43 | | 6 | 41 | | 7 | 28 | | 8 | 49 | | 9 | 28 | | 10 | 16 | | 11 | 16 | | 12 | 17 | | 13 | 10 | | 14 | 16 | | 15 | 18 | | 16 | 11 | | 17 | 33 | | 18 | 28 | | 19 | 32 | | 20 | 33 | | 21 | 24 | | 22 | 15 | | 23 | 35 | | 24 | 16 | | 25 | 25 | | 26 | 23 | | 27 | 4 | | 28 | 18 | | 29 | 33 | | 30 | 7 | | 31 | 14 | | 32 | 39 | | 33 | 19 | | 34 | 19 | | 35 | 23 | | 36 | 26 | | 37 | 39 | | 38 | 19 | | 39 | 36 | | 40 | 12 | | 41 | 25 | | 42 | 32 | | 43 | 25 | | 44 | 47 | | 45 | 10 | | 46 | 18 | | 47 | 46 | | 48 | 25 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 62 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 129 | | matches | | |
| 44.33% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 87 | | ratio | 0.034 | | matches | | 0 | "Platinum blond hair caught the light first, then those unmistakable mismatched eyes — one amber, one black — locked onto hers with an intensity that made her breath catch." | | 1 | "The familiar chaos of Eva's flat enveloped her — books stacked on every surface, scrolls unfurled across the coffee table, research notes pinned to the walls like a conspiracy theorist's fever dream." | | 2 | "In the distance, London's night sounds filtered through the thin walls — sirens, late-night revellers, the eternal hum of a city that never truly slept." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 775 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.03741935483870968 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.007741935483870968 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 87 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 87 | | mean | 14.24 | | std | 7.39 | | cv | 0.519 | | sampleLengths | | 0 | 11 | | 1 | 21 | | 2 | 18 | | 3 | 8 | | 4 | 12 | | 5 | 29 | | 6 | 23 | | 7 | 17 | | 8 | 7 | | 9 | 16 | | 10 | 2 | | 11 | 25 | | 12 | 12 | | 13 | 29 | | 14 | 15 | | 15 | 13 | | 16 | 11 | | 17 | 32 | | 18 | 5 | | 19 | 1 | | 20 | 18 | | 21 | 10 | | 22 | 16 | | 23 | 10 | | 24 | 6 | | 25 | 5 | | 26 | 12 | | 27 | 10 | | 28 | 16 | | 29 | 5 | | 30 | 13 | | 31 | 11 | | 32 | 21 | | 33 | 12 | | 34 | 10 | | 35 | 18 | | 36 | 32 | | 37 | 8 | | 38 | 17 | | 39 | 8 | | 40 | 20 | | 41 | 4 | | 42 | 3 | | 43 | 12 | | 44 | 17 | | 45 | 18 | | 46 | 16 | | 47 | 8 | | 48 | 17 | | 49 | 7 |
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| 84.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.5287356321839081 | | totalSentences | 87 | | uniqueOpeners | 46 | |
| 56.50% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 59 | | matches | | 0 | "Somewhere out there, someone was" |
| | ratio | 0.017 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 59 | | matches | | 0 | "Her friend's dark eyes widened," | | 1 | "His French accent wrapped around" | | 2 | "It had been three months" | | 3 | "She wouldn't let him see" | | 4 | "She kept her back to" | | 5 | "She spun to face him," | | 6 | "He moved closer, his mismatched" | | 7 | "She grabbed a tea towel" | | 8 | "His voice had gone cold," | | 9 | "They were inches apart now," | | 10 | "He left the sentence hanging" | | 11 | "she said finally" | | 12 | "Their eyes met across the" |
| | ratio | 0.22 | |
| 2.37% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 59 | | matches | | 0 | "The three deadbolts clicked in" | | 1 | "Rory's heart hammered against her" | | 2 | "Her friend's dark eyes widened," | | 3 | "Platinum blond hair caught the" | | 4 | "Lucien Moreau stood in Eva's" | | 5 | "The ivory handle of his" | | 6 | "His French accent wrapped around" | | 7 | "It had been three months" | | 8 | "Rory kept her voice steady," | | 9 | "She wouldn't let him see" | | 10 | "Eva stepped aside, but her" | | 11 | "Ptolemy wound around Rory's legs" | | 12 | "The familiar chaos of Eva's" | | 13 | "Lucien hadn't moved from his" | | 14 | "She kept her back to" | | 15 | "Lucien's cane tapped once against" | | 16 | "Heat flared in Rory's chest." | | 17 | "She spun to face him," | | 18 | "The air between them crackled." | | 19 | "Eva cleared her throat, but" |
| | ratio | 0.915 | |
| 84.75% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 59 | | matches | | 0 | "Before Rory could answer, a" |
| | ratio | 0.017 | |
| 47.62% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 4 | | matches | | 0 | "Platinum blond hair caught the light first, then those unmistakable mismatched eyes — one amber, one black — locked onto hers with an intensity that made her br…" | | 1 | "He moved closer, his mismatched eyes fixed on the pendant with an intensity that made Rory's skin prickle." | | 2 | "The same connection that had brought them together in the first place, the same pull that had made walking away the hardest thing she'd ever done." | | 3 | "And the only thing standing in their way was two people who couldn't seem to be in the same room without setting everything on fire." |
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| 36.76% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 3 | | matches | | 0 | "Rory kept, professional" | | 1 | "Eva stepped aside, but her expression remained guarded" | | 2 | "His voice had, professional" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | 0 | "Eva continued (continue)" |
| | dialogueSentences | 44 | | tagDensity | 0.068 | | leniency | 0.136 | | rawRatio | 0.333 | | effectiveRatio | 0.045 | |