| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 1 | | adverbTags | | 0 | "she asks quietly [quietly]" |
| | dialogueSentences | 44 | | tagDensity | 0.182 | | leniency | 0.364 | | rawRatio | 0.125 | | effectiveRatio | 0.045 | |
| 77.48% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 444 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 32.43% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 444 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "scanning" | | 1 | "silence" | | 2 | "charged" | | 3 | "tension" | | 4 | "footsteps" | | 5 | "echoing" |
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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 | 51 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 51 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 83 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 14 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 443 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 37.64% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 267 | | uniqueNames | 3 | | maxNameDensity | 2.25 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | | persons | | 0 | "Lucien" | | 1 | "Aurora" | | 2 | "Ptolemy" |
| | places | (empty) | | globalScore | 0.376 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 20 | | 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 | 443 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 83 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 10.07 | | std | 5.63 | | cv | 0.559 | | sampleLengths | | 0 | 27 | | 1 | 8 | | 2 | 12 | | 3 | 18 | | 4 | 12 | | 5 | 9 | | 6 | 9 | | 7 | 16 | | 8 | 8 | | 9 | 28 | | 10 | 13 | | 11 | 7 | | 12 | 12 | | 13 | 9 | | 14 | 8 | | 15 | 5 | | 16 | 3 | | 17 | 5 | | 18 | 17 | | 19 | 9 | | 20 | 10 | | 21 | 11 | | 22 | 12 | | 23 | 8 | | 24 | 10 | | 25 | 13 | | 26 | 4 | | 27 | 18 | | 28 | 6 | | 29 | 7 | | 30 | 3 | | 31 | 3 | | 32 | 9 | | 33 | 2 | | 34 | 14 | | 35 | 7 | | 36 | 5 | | 37 | 10 | | 38 | 6 | | 39 | 7 | | 40 | 10 | | 41 | 9 | | 42 | 5 | | 43 | 19 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 51 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 59 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 83 | | ratio | 0.012 | | matches | | 0 | "Their lips meet—soft, uncertain." |
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| 92.56% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 268 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 13 | | adverbRatio | 0.048507462686567165 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.014925373134328358 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 83 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 83 | | mean | 5.34 | | std | 2.83 | | cv | 0.53 | | sampleLengths | | 0 | 4 | | 1 | 12 | | 2 | 11 | | 3 | 8 | | 4 | 2 | | 5 | 10 | | 6 | 7 | | 7 | 11 | | 8 | 9 | | 9 | 3 | | 10 | 5 | | 11 | 4 | | 12 | 5 | | 13 | 4 | | 14 | 8 | | 15 | 8 | | 16 | 5 | | 17 | 3 | | 18 | 14 | | 19 | 14 | | 20 | 6 | | 21 | 7 | | 22 | 3 | | 23 | 4 | | 24 | 7 | | 25 | 5 | | 26 | 7 | | 27 | 2 | | 28 | 2 | | 29 | 6 | | 30 | 5 | | 31 | 3 | | 32 | 3 | | 33 | 2 | | 34 | 13 | | 35 | 4 | | 36 | 4 | | 37 | 5 | | 38 | 3 | | 39 | 7 | | 40 | 7 | | 41 | 4 | | 42 | 7 | | 43 | 5 | | 44 | 2 | | 45 | 6 | | 46 | 6 | | 47 | 4 | | 48 | 6 | | 49 | 3 |
| |
| 71.49% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4578313253012048 | | totalSentences | 83 | | uniqueOpeners | 38 | |
| 75.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 44 | | matches | | 0 | "Then firmer, desperate." |
| | ratio | 0.023 | |
| 29.09% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 44 | | matches | | 0 | "she says, voice steady but" | | 1 | "she continues, crossing arms" | | 2 | "She looks away, jaw tight." | | 3 | "His gaze drops to her" | | 4 | "He steps closer, close enough" | | 5 | "She shrugs, but her shoulders" | | 6 | "Her voice cracks" | | 7 | "He reaches out, stops inches" | | 8 | "Her breath hitches." | | 9 | "His hand lifts, hovers near" | | 10 | "She opens her eyes, meets" | | 11 | "His thumb brushes her jawline" | | 12 | "His voice low" | | 13 | "She steps forward, closes the" | | 14 | "Their foreheads touch." | | 15 | "she asks quietly" | | 16 | "She touches his chest, feeling" | | 17 | "Their lips meet—soft, uncertain." | | 18 | "They stand there, breathing hard." | | 19 | "He smiles faintly." |
| | ratio | 0.477 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 41 | | totalSentences | 44 | | matches | | 0 | "The door creaks open." | | 1 | "Aurora stands there, rain dripping" | | 2 | "Lucien leans against the frame," | | 3 | "she says, voice steady but" | | 4 | "Ptolemy watches from the corner," | | 5 | "Aurora steps inside, boots leaving" | | 6 | "she continues, crossing arms" | | 7 | "Lucien pushes off the door." | | 8 | "She looks away, jaw tight." | | 9 | "His gaze drops to her" | | 10 | "Aurora turns back, eyes bright." | | 11 | "He steps closer, close enough" | | 12 | "She shrugs, but her shoulders" | | 13 | "Lucien laughs softly." | | 14 | "Her voice cracks" | | 15 | "He reaches out, stops inches" | | 16 | "The cat meows from the" | | 17 | "Her breath hitches." | | 18 | "His hand lifts, hovers near" | | 19 | "Aurora closes her eyes." |
| | ratio | 0.932 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 44 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 4 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 1 | | matches | | 0 | "she says, voice steady but edged" |
| |
| 81.82% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 3 | | fancyTags | | 0 | "she continues (continue)" | | 1 | "she whispers (whisper)" | | 2 | "he agrees (agree)" |
| | dialogueSentences | 44 | | tagDensity | 0.136 | | leniency | 0.273 | | rawRatio | 0.5 | | effectiveRatio | 0.136 | |