| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.543 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.83% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 811 | | totalAiIsmAdverbs | 1 | | found | | 0 | | adverb | "barely above a whisper" | | count | 1 |
|
| | highlights | | 0 | "barely above a whisper" |
| |
| 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) | |
| 1.36% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 811 | | totalAiIsms | 16 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | word | "down her spine" | | count | 1 |
| | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | |
| | highlights | | 0 | "pounding" | | 1 | "scanning" | | 2 | "stomach" | | 3 | "velvet" | | 4 | "eyebrow" | | 5 | "down her spine" | | 6 | "gleaming" | | 7 | "intensity" | | 8 | "echoed" | | 9 | "whisper" | | 10 | "racing" | | 11 | "familiar" | | 12 | "sense of" | | 13 | "anticipation" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "couldn't help but" | | count | 1 |
| | 1 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "couldn't help but feel" | | 1 | "sent a shiver down" |
| |
| 98.96% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 64 | | matches | | 0 | "felt a flush" | | 1 | "a sense of excitement" |
| |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 64 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 80 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 808 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 603 | | uniqueNames | 4 | | maxNameDensity | 1.33 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Rory | 3 | | Moreau | 1 | | Ptolemy | 1 | | Lucien | 8 |
| | persons | | 0 | "Rory" | | 1 | "Moreau" | | 2 | "Lucien" |
| | places | (empty) | | globalScore | 0.837 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | 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 | 808 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 80 | | matches | (empty) | |
| 87.14% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 31.08 | | std | 14.14 | | cv | 0.455 | | sampleLengths | | 0 | 66 | | 1 | 49 | | 2 | 17 | | 3 | 31 | | 4 | 11 | | 5 | 25 | | 6 | 50 | | 7 | 21 | | 8 | 36 | | 9 | 48 | | 10 | 27 | | 11 | 32 | | 12 | 19 | | 13 | 16 | | 14 | 20 | | 15 | 51 | | 16 | 23 | | 17 | 26 | | 18 | 18 | | 19 | 23 | | 20 | 38 | | 21 | 38 | | 22 | 16 | | 23 | 24 | | 24 | 27 | | 25 | 56 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 64 | | matches | (empty) | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 118 | | matches | | 0 | "wasn't expecting" | | 1 | "was stepping" | | 2 | "was doing" | | 3 | "wasn't making" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 80 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 606 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 15 | | adverbRatio | 0.024752475247524754 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.006600660066006601 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 80 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 80 | | mean | 10.1 | | std | 4.65 | | cv | 0.46 | | sampleLengths | | 0 | 15 | | 1 | 12 | | 2 | 4 | | 3 | 11 | | 4 | 8 | | 5 | 16 | | 6 | 6 | | 7 | 12 | | 8 | 15 | | 9 | 16 | | 10 | 12 | | 11 | 5 | | 12 | 12 | | 13 | 8 | | 14 | 11 | | 15 | 8 | | 16 | 3 | | 17 | 11 | | 18 | 14 | | 19 | 6 | | 20 | 9 | | 21 | 10 | | 22 | 9 | | 23 | 16 | | 24 | 8 | | 25 | 9 | | 26 | 4 | | 27 | 14 | | 28 | 15 | | 29 | 7 | | 30 | 14 | | 31 | 13 | | 32 | 8 | | 33 | 13 | | 34 | 11 | | 35 | 7 | | 36 | 9 | | 37 | 12 | | 38 | 16 | | 39 | 4 | | 40 | 4 | | 41 | 4 | | 42 | 11 | | 43 | 9 | | 44 | 7 | | 45 | 10 | | 46 | 10 | | 47 | 4 | | 48 | 29 | | 49 | 7 |
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| 48.75% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.375 | | totalSentences | 80 | | uniqueOpeners | 30 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 51 | | totalSentences | 62 | | matches | | 0 | "She paused, mid-sentence in her" | | 1 | "She wasn't expecting anyone." | | 2 | "She set her book down," | | 3 | "It was late, too late" | | 4 | "She stood, her chair scraping" | | 5 | "She hadn't seen him in" | | 6 | "She took a deep breath," | | 7 | "she said, her voice steady" | | 8 | "He turned to face her," | | 9 | "he greeted, his voice smooth" | | 10 | "She raised an eyebrow, leaning" | | 11 | "He chuckled, a sound that" | | 12 | "he countered, his amber eye" | | 13 | "She stepped aside, allowing him" | | 14 | "she said, closing the door" | | 15 | "he said, his voice low" | | 16 | "She felt a flush creep" | | 17 | "she replied, turning away to" | | 18 | "he said, taking a seat" | | 19 | "She poured him a glass," |
| | ratio | 0.823 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 62 | | matches | | 0 | "The doorbell chimed, a shrill" | | 1 | "She paused, mid-sentence in her" | | 2 | "She wasn't expecting anyone." | | 3 | "She set her book down," | | 4 | "It was late, too late" | | 5 | "She stood, her chair scraping" | | 6 | "Lucien Moreau, standing tall and" | | 7 | "She hadn't seen him in" | | 8 | "She took a deep breath," | | 9 | "she said, her voice steady" | | 10 | "He turned to face her," | | 11 | "he greeted, his voice smooth" | | 12 | "She raised an eyebrow, leaning" | | 13 | "He chuckled, a sound that" | | 14 | "he countered, his amber eye" | | 15 | "She stepped aside, allowing him" | | 16 | "she said, closing the door" | | 17 | "Ptolemy, her tabby cat, wound" | | 18 | "Lucien bent down, scratching the" | | 19 | "Rory commented, a hint of" |
| | ratio | 0.935 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 1 | | matches | | 0 | "He chuckled, a sound that sent a shiver down her spine." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 12 | | matches | | 0 | "she said, her voice steady despite the flutter in her stomach" | | 1 | "he greeted, his voice smooth as velvet" | | 2 | "he countered, his amber eye gleaming in the dim light" | | 3 | "Rory commented, a hint of a smile on her lips" | | 4 | "he said, his voice low" | | 5 | "she began, her voice serious" | | 6 | "she asked, her voice barely above a whisper" | | 7 | "he said, his voice grim" | | 8 | "she asked, her voice steady" | | 9 | "she said, her voice firm" | | 10 | "he said, his voice sincere" | | 11 | "she said, turning to face him" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 1 | | fancyTags | | 0 | "Rory commented (comment)" |
| | dialogueSentences | 35 | | tagDensity | 0.371 | | leniency | 0.743 | | rawRatio | 0.077 | | effectiveRatio | 0.057 | |