| 66.67% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 1 | | adverbTags | | 0 | "she asked finally [finally]" |
| | dialogueSentences | 15 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.167 | | effectiveRatio | 0.133 | |
| 81.66% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 818 | | totalAiIsmAdverbs | 3 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 2 |
|
| | highlights | | 0 | "softly" | | 1 | "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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 818 | | totalAiIsms | 21 | | found | | 0 | | | 1 | | | 2 | | word | "down her spine" | | count | 1 |
| | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | word | "skipped a beat" | | count | 1 |
| | 13 | | | 14 | | word | "sent shivers down" | | count | 1 |
|
| | highlights | | 0 | "trembled" | | 1 | "etched" | | 2 | "down her spine" | | 3 | "silence" | | 4 | "oppressive" | | 5 | "unspoken" | | 6 | "tension" | | 7 | "racing" | | 8 | "sense of" | | 9 | "sanctuary" | | 10 | "reminder" | | 11 | "whisper" | | 12 | "skipped a beat" | | 13 | "eyebrow" | | 14 | "sent shivers down" |
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| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "sense of foreboding" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
| | 2 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "a sense of unease" | | 1 | "hung in the air" | | 2 | "sent a shiver down" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 54 | | matches | | |
| 89.95% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 54 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 63 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 23 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 818 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 44.66% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 712 | | uniqueNames | 4 | | maxNameDensity | 2.11 | | worstName | "Lucien" | | maxWindowNameDensity | 3 | | worstWindowName | "Lucien" | | discoveredNames | | Moreau | 2 | | French | 1 | | Lucien | 15 | | Rory | 11 |
| | persons | | 0 | "Moreau" | | 1 | "Lucien" | | 2 | "Rory" |
| | places | (empty) | | globalScore | 0.447 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed almost inevitable Lucien reached out and brushed a strand of hair behind her ear" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 818 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 63 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 27 | | mean | 30.3 | | std | 17.07 | | cv | 0.563 | | sampleLengths | | 0 | 83 | | 1 | 13 | | 2 | 21 | | 3 | 35 | | 4 | 16 | | 5 | 29 | | 6 | 17 | | 7 | 43 | | 8 | 44 | | 9 | 40 | | 10 | 18 | | 11 | 15 | | 12 | 44 | | 13 | 32 | | 14 | 60 | | 15 | 14 | | 16 | 28 | | 17 | 21 | | 18 | 39 | | 19 | 7 | | 20 | 24 | | 21 | 5 | | 22 | 36 | | 23 | 53 | | 24 | 17 | | 25 | 30 | | 26 | 34 |
| |
| 85.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 54 | | matches | | 0 | "was slicked" | | 1 | "been invited" | | 2 | "were drawn" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 125 | | matches | | |
| 97.51% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 63 | | ratio | 0.016 | | matches | | 0 | "Lucien Moreau's platinum-blond hair was slicked back, revealing those unsettling heterochromatic eyes – one amber, one black." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 344 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 7 | | adverbRatio | 0.020348837209302327 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.005813953488372093 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 63 | | echoCount | 0 | | echoWords | (empty) | |
| 95.59% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 63 | | mean | 12.98 | | std | 5.05 | | cv | 0.389 | | sampleLengths | | 0 | 9 | | 1 | 20 | | 2 | 9 | | 3 | 18 | | 4 | 17 | | 5 | 10 | | 6 | 13 | | 7 | 8 | | 8 | 13 | | 9 | 13 | | 10 | 22 | | 11 | 11 | | 12 | 5 | | 13 | 6 | | 14 | 17 | | 15 | 6 | | 16 | 9 | | 17 | 8 | | 18 | 13 | | 19 | 12 | | 20 | 18 | | 21 | 19 | | 22 | 18 | | 23 | 7 | | 24 | 14 | | 25 | 14 | | 26 | 12 | | 27 | 18 | | 28 | 13 | | 29 | 2 | | 30 | 23 | | 31 | 21 | | 32 | 15 | | 33 | 17 | | 34 | 19 | | 35 | 13 | | 36 | 12 | | 37 | 16 | | 38 | 14 | | 39 | 10 | | 40 | 18 | | 41 | 11 | | 42 | 10 | | 43 | 5 | | 44 | 18 | | 45 | 16 | | 46 | 7 | | 47 | 11 | | 48 | 13 | | 49 | 4 |
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| 58.20% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.3492063492063492 | | totalSentences | 63 | | uniqueOpeners | 22 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 54 | | matches | | 0 | "She took a deep breath" | | 1 | "she asked, trying to keep" | | 2 | "She had thought she'd prepared" | | 3 | "His gaze drifted down, taking" | | 4 | "It was a sanctuary, one" | | 5 | "They stood in silence, the" | | 6 | "She had thought she was" | | 7 | "she asked finally, her voice" | | 8 | "He turned to face her," | | 9 | "She had thought she'd never" | | 10 | "she asked, her voice cautious" | | 11 | "She had thought she was" | | 12 | "She took a step closer," |
| | ratio | 0.241 | |
| 43.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 45 | | totalSentences | 54 | | matches | | 0 | "Aurora's hand trembled as she" | | 1 | "The hesitant knock had become" | | 2 | "The peephole revealed a face" | | 3 | "Lucien Moreau's platinum-blond hair was" | | 4 | "The eyes that had witnessed" | | 5 | "She took a deep breath" | | 6 | "Lucien said, his voice low" | | 7 | "The French accent was subtle," | | 8 | "she asked, trying to keep" | | 9 | "The dim light of the" | | 10 | "Lucien offered a faint smile," | | 11 | "Rory's grip on the doorframe" | | 12 | "She had thought she'd prepared" | | 13 | "His gaze drifted down, taking" | | 14 | "The silence that followed was" | | 15 | "Rory's mind racing with questions," | | 16 | "The door closed behind him" | | 17 | "This was the man who" | | 18 | "The man she'd been trying" | | 19 | "Lucien's eyes adjusted to the" |
| | ratio | 0.833 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 4 | | matches | | 0 | "The silence that followed was oppressive, filled with unspoken words and unresolved tension." | | 1 | "Rory's mind racing with questions, she stepped aside, allowing Lucien to enter." | | 2 | "But as she looked into his eyes, she saw something there, something that gave her hope." | | 3 | "Rory's heart was racing now, her mind reeling with the implications." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 6 | | matches | | 0 | "Lucien said, his voice low and even" | | 1 | "she asked, trying to keep her tone neutral" | | 2 | "Rory asked, trying to sound casual despite the turmoil brewing inside her" | | 3 | "she asked finally, her voice barely above a whisper" | | 4 | "Lucien said, his voice low and rough" | | 5 | "she asked, her voice cautious" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0 | | effectiveRatio | 0 | |