| 82.35% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said finally [finally]" |
| | dialogueSentences | 17 | | tagDensity | 0.412 | | leniency | 0.824 | | rawRatio | 0.143 | | effectiveRatio | 0.118 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 899 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 899 | | totalAiIsms | 21 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | word | "skipped a beat" | | count | 1 |
| | 15 | | | 16 | | word | "down her spine" | | count | 1 |
| | 17 | |
| | highlights | | 0 | "weight" | | 1 | "unspoken" | | 2 | "racing" | | 3 | "encounter" | | 4 | "eyebrow" | | 5 | "navigated" | | 6 | "pang" | | 7 | "familiar" | | 8 | "sanctuary" | | 9 | "sense of" | | 10 | "warmth" | | 11 | "silence" | | 12 | "tension" | | 13 | "flicker" | | 14 | "skipped a beat" | | 15 | "intensity" | | 16 | "down her spine" | | 17 | "dancing" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "weight of words/silence" | | count | 1 |
| | 1 | | label | "flicker of emotion" | | count | 1 |
|
| | highlights | | 0 | "the weight of unspoken words" | | 1 | "a spark of fear" |
| |
| 16.30% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 6 | | narrationSentences | 46 | | matches | | 0 | "a pang of unease" | | 1 | "a surge of resentment" | | 2 | "a flicker of surprise" | | 3 | "a pang of guilt" | | 4 | "felt a shiver" | | 5 | "a spark of fear" |
| |
| 49.69% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 46 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 56 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 899 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 1 | | matches | | 0 | "Finally, Lucien spoke up, his voice breaking the tension." |
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| 32.96% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 769 | | uniqueNames | 5 | | maxNameDensity | 2.34 | | worstName | "Lucien" | | maxWindowNameDensity | 4 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 7 | | Ptolemy | 1 | | Lucien | 18 | | Moreau | 1 | | Rory | 13 |
| | persons | | 0 | "Eva" | | 1 | "Lucien" | | 2 | "Moreau" | | 3 | "Rory" |
| | places | (empty) | | globalScore | 0.33 | | windowScore | 0.333 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 3 | | matches | | 0 | "quite reach his eyes" | | 1 | "felt like a hug, enveloping her in a se" | | 2 | "felt like a physical presence in the ro" |
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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 | 899 | | matches | (empty) | |
| 47.62% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 56 | | matches | | 0 | "realized that Lucien" | | 1 | "knew that she" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 37.46 | | std | 19.12 | | cv | 0.51 | | sampleLengths | | 0 | 61 | | 1 | 84 | | 2 | 19 | | 3 | 22 | | 4 | 37 | | 5 | 37 | | 6 | 48 | | 7 | 14 | | 8 | 30 | | 9 | 30 | | 10 | 60 | | 11 | 54 | | 12 | 35 | | 13 | 38 | | 14 | 18 | | 15 | 16 | | 16 | 26 | | 17 | 39 | | 18 | 13 | | 19 | 37 | | 20 | 15 | | 21 | 48 | | 22 | 79 | | 23 | 39 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 46 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 139 | | matches | | 0 | "was being" | | 1 | "was still reeling" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 56 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 771 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.03631647211413749 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.010376134889753566 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 56 | | echoCount | 0 | | echoWords | (empty) | |
| 98.53% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 56 | | mean | 16.05 | | std | 6.36 | | cv | 0.396 | | sampleLengths | | 0 | 26 | | 1 | 35 | | 2 | 18 | | 3 | 17 | | 4 | 24 | | 5 | 25 | | 6 | 15 | | 7 | 4 | | 8 | 15 | | 9 | 7 | | 10 | 16 | | 11 | 21 | | 12 | 20 | | 13 | 17 | | 14 | 15 | | 15 | 33 | | 16 | 10 | | 17 | 4 | | 18 | 13 | | 19 | 17 | | 20 | 14 | | 21 | 16 | | 22 | 13 | | 23 | 17 | | 24 | 30 | | 25 | 18 | | 26 | 19 | | 27 | 17 | | 28 | 16 | | 29 | 19 | | 30 | 17 | | 31 | 21 | | 32 | 9 | | 33 | 9 | | 34 | 16 | | 35 | 19 | | 36 | 7 | | 37 | 10 | | 38 | 13 | | 39 | 16 | | 40 | 9 | | 41 | 4 | | 42 | 19 | | 43 | 18 | | 44 | 15 | | 45 | 21 | | 46 | 11 | | 47 | 16 | | 48 | 17 | | 49 | 7 |
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| 57.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.375 | | totalSentences | 56 | | uniqueOpeners | 21 | |
| 72.46% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 46 | | matches | | 0 | "Finally, Lucien spoke up, his" |
| | ratio | 0.022 | |
| 89.57% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 46 | | matches | | 0 | "She'd been expecting Eva to" | | 1 | "She'd thought she was over" | | 2 | "he said finally, his voice" | | 3 | "he asked, his tone polite," | | 4 | "he said, his voice softening" | | 5 | "She didn't like the idea" | | 6 | "It was a space that" | | 7 | "It wasn't Lucien's fault that" | | 8 | "he said, his voice low" | | 9 | "She tried to pull her" | | 10 | "she said, trying to keep" | | 11 | "he countered, his voice dripping" | | 12 | "She knew he was right," | | 13 | "They couldn't keep dancing around" | | 14 | "She could let her fear" |
| | ratio | 0.326 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 32 | | totalSentences | 46 | | matches | | 0 | "Aurora's hand hovered over the" | | 1 | "She'd been expecting Eva to" | | 2 | "Rory's grip on the door" | | 3 | "She'd thought she was over" | | 4 | "he said finally, his voice" | | 5 | "Rory raised an eyebrow, her" | | 6 | "Lucien's eyes crinkled at the" | | 7 | "Rory's skepticism must have shown" | | 8 | "he asked, his tone polite," | | 9 | "Rory stepped back, her eyes" | | 10 | "The flat was a mess," | | 11 | "Eva's voice called out from" | | 12 | "Rory hesitated, unsure if she" | | 13 | "he said, his voice softening" | | 14 | "Rory watched as Lucien disappeared" | | 15 | "She didn't like the idea" | | 16 | "It was a space that" | | 17 | "Rory felt a surge of" | | 18 | "Rory interrupted, her tone curt" | | 19 | "Lucien's eyes met hers, a" |
| | ratio | 0.696 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 46 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 2 | | matches | | 0 | "She'd been expecting Eva to answer, maybe Ptolemy the tabby cat to weave between her legs, but it was Lucien Moreau who stood in the doorway, his eyes narrowing…" | | 1 | "Lucien's eyes searched hers, his gaze burning with an intensity that made her feel like he could see right through her." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 4 | | matches | | 0 | "he said, his voice softening as he pushed open the door" | | 1 | "he said, his voice low and urgent" | | 2 | "she said, trying to keep her voice steady" | | 3 | "he countered, his voice dripping with persuasion" |
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| 91.18% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | 0 | "Rory interrupted (interrupt)" |
| | dialogueSentences | 17 | | tagDensity | 0.353 | | leniency | 0.706 | | rawRatio | 0.167 | | effectiveRatio | 0.118 | |