| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 2 | | adverbTags | | 0 | "Lucien said quietly [quietly]" | | 1 | "she said finally [finally]" |
| | dialogueSentences | 41 | | tagDensity | 0.317 | | leniency | 0.634 | | rawRatio | 0.154 | | effectiveRatio | 0.098 | |
| 78.03% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1138 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "lazily" | | 1 | "lightly" | | 2 | "slowly" |
| |
| 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 | 1138 | | totalAiIsms | 34 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | | | 25 | |
| | highlights | | 0 | "tension" | | 1 | "weight" | | 2 | "tinged" | | 3 | "silence" | | 4 | "flicked" | | 5 | "familiar" | | 6 | "echoed" | | 7 | "furrowed" | | 8 | "sense of" | | 9 | "foreboding" | | 10 | "pulse" | | 11 | "intensity" | | 12 | "apprehension" | | 13 | "silk" | | 14 | "clandestine" | | 15 | "enigmatic" | | 16 | "unspoken" | | 17 | "raced" | | 18 | "etched" | | 19 | "tracing" | | 20 | "porcelain" | | 21 | "quickened" | | 22 | "unwavering" | | 23 | "stomach" | | 24 | "churned" | | 25 | "echoes" |
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| 0.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 4 | | maxInWindow | 4 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "stomach dropped/sank" | | count | 1 |
| | 2 | | label | "sense of foreboding" | | count | 1 |
| | 3 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "eyes widened" | | 1 | "stomach churned" | | 2 | "a sense of foreboding" | | 3 | "sent a shiver down" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 73 | | matches | | 0 | "d with surprise" | | 1 | "a sense of foreboding" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 73 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1129 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 66 | | wordCount | 762 | | uniqueNames | 7 | | maxNameDensity | 3.28 | | worstName | "Aurora" | | maxWindowNameDensity | 5 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 25 | | Carter | 1 | | Eva | 17 | | Lucien | 19 | | Moreau | 1 | | London | 2 | | Silas | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Carter" | | 2 | "Eva" | | 3 | "Lucien" | | 4 | "Moreau" | | 5 | "Silas" |
| | places | | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | 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 | 1129 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 100 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 23.52 | | std | 13.74 | | cv | 0.584 | | sampleLengths | | 0 | 70 | | 1 | 12 | | 2 | 47 | | 3 | 37 | | 4 | 42 | | 5 | 21 | | 6 | 4 | | 7 | 9 | | 8 | 29 | | 9 | 38 | | 10 | 12 | | 11 | 38 | | 12 | 7 | | 13 | 38 | | 14 | 14 | | 15 | 27 | | 16 | 11 | | 17 | 54 | | 18 | 16 | | 19 | 19 | | 20 | 36 | | 21 | 13 | | 22 | 16 | | 23 | 13 | | 24 | 12 | | 25 | 35 | | 26 | 15 | | 27 | 7 | | 28 | 20 | | 29 | 26 | | 30 | 14 | | 31 | 25 | | 32 | 6 | | 33 | 14 | | 34 | 18 | | 35 | 18 | | 36 | 35 | | 37 | 34 | | 38 | 15 | | 39 | 19 | | 40 | 17 | | 41 | 26 | | 42 | 29 | | 43 | 13 | | 44 | 11 | | 45 | 43 | | 46 | 33 | | 47 | 21 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 73 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 142 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 100 | | ratio | 0.05 | | matches | | 0 | "The heterochromatic gaze—amber and black—locked onto Aurora with an intensity that made her breath catch." | | 1 | "Lucien had been an unlikely ally—half-demon, enigmatic, and inexplicably protective when her world had crumbled." | | 2 | "Aurora's mind raced, replaying their last interaction—a whispered argument in the alley behind Silas’s bar, the hurt and longing etched into every heated word." | | 3 | "But with Lucien by her side, maybe—just maybe—she could find a way forward." | | 4 | "Together, they might just weather what was coming—because sometimes, the people who’ve hurt us are the ones who help us heal." |
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| 94.87% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 774 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.04521963824289406 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.020671834625323 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 11.29 | | std | 5.92 | | cv | 0.524 | | sampleLengths | | 0 | 21 | | 1 | 27 | | 2 | 11 | | 3 | 11 | | 4 | 7 | | 5 | 5 | | 6 | 10 | | 7 | 30 | | 8 | 7 | | 9 | 15 | | 10 | 22 | | 11 | 7 | | 12 | 20 | | 13 | 15 | | 14 | 15 | | 15 | 6 | | 16 | 4 | | 17 | 3 | | 18 | 6 | | 19 | 11 | | 20 | 12 | | 21 | 6 | | 22 | 7 | | 23 | 16 | | 24 | 15 | | 25 | 12 | | 26 | 11 | | 27 | 14 | | 28 | 13 | | 29 | 3 | | 30 | 4 | | 31 | 10 | | 32 | 13 | | 33 | 15 | | 34 | 8 | | 35 | 6 | | 36 | 5 | | 37 | 22 | | 38 | 4 | | 39 | 7 | | 40 | 15 | | 41 | 18 | | 42 | 21 | | 43 | 16 | | 44 | 19 | | 45 | 12 | | 46 | 24 | | 47 | 13 | | 48 | 3 | | 49 | 13 |
| |
| 65.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.39 | | totalSentences | 100 | | uniqueOpeners | 39 | |
| 48.31% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 69 | | matches | | 0 | "Perhaps the path ahead was" |
| | ratio | 0.014 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 69 | | matches | | 0 | "Her bright blue eyes darted" | | 1 | "She tugged at her sleeve," | | 2 | "She moved to brew a" | | 3 | "Her heart ached with the" | | 4 | "They exchanged wary looks, a" | | 5 | "His tailored charcoal suit was" | | 6 | "He leaned on his ivory-handled" | | 7 | "Their history was a patchwork" | | 8 | "They settled into the makeshift" | | 9 | "They sipped their tea in" | | 10 | "she echoed, voice thick with" | | 11 | "She felt Lucien’s presence behind" | | 12 | "She turned back to Lucien," | | 13 | "she said finally, letting the" |
| | ratio | 0.203 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 69 | | matches | | 0 | "The door creaked open, revealing" | | 1 | "Her bright blue eyes darted" | | 2 | "Ptolemy lifted his head lazily," | | 3 | "Aurora shifted her weight, a" | | 4 | "Eva's voice was tinged with" | | 5 | "Aurora cleared her throat, smoothing" | | 6 | "She tugged at her sleeve," | | 7 | "Eva replied, glancing down at" | | 8 | "She moved to brew a" | | 9 | "Silence hung between them like" | | 10 | "Aurora's eyes flicked over Eva," | | 11 | "Her heart ached with the" | | 12 | "Aurora froze, gripping Eva's arm" | | 13 | "Eva's brow furrowed." | | 14 | "They exchanged wary looks, a" | | 15 | "Eva stepped forward, her hand" | | 16 | "Aurora edged closer, her pulse" | | 17 | "The door swung open, revealing" | | 18 | "His tailored charcoal suit was" | | 19 | "The heterochromatic gaze—amber and black—locked" |
| | ratio | 0.928 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 1 | | matches | | 0 | "The heterochromatic gaze—amber and black—locked onto Aurora with an intensity that made her breath catch." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 5 | | matches | | 0 | "Aurora breathed, a mixture of surprise and apprehension coloring her tone" | | 1 | "Lucien replied, his voice smooth as silk" | | 2 | "Lucien replied, a ghost of a smile playing on his lips" | | 3 | "Lucien said quietly, his eyes remaining unwaveringly on hers" | | 4 | "she echoed, voice thick with emotion" |
| |
| 28.05% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 5 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "Aurora breathed (breathe)" | | 2 | "Aurora admitted (admit)" | | 3 | "Lucien interjected (interject)" | | 4 | "he murmured (murmur)" |
| | dialogueSentences | 41 | | tagDensity | 0.268 | | leniency | 0.537 | | rawRatio | 0.455 | | effectiveRatio | 0.244 | |