| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said finally [finally]" |
| | dialogueSentences | 37 | | tagDensity | 0.541 | | leniency | 1 | | rawRatio | 0.05 | | effectiveRatio | 0.05 | |
| 95.17% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1036 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1036 | | totalAiIsms | 29 | | 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 | | word | "down her spine" | | count | 1 |
| | 25 | |
| | highlights | | 0 | "unspoken" | | 1 | "tension" | | 2 | "tapestry" | | 3 | "velvet" | | 4 | "reminder" | | 5 | "raced" | | 6 | "flicked" | | 7 | "tinged" | | 8 | "encounter" | | 9 | "weight" | | 10 | "whisper" | | 11 | "resolve" | | 12 | "wavered" | | 13 | "amidst" | | 14 | "beacon" | | 15 | "magnetic" | | 16 | "unwavering" | | 17 | "familiar" | | 18 | "silence" | | 19 | "perfect" | | 20 | "newfound" | | 21 | "comforting" | | 22 | "warmth" | | 23 | "fleeting" | | 24 | "down her spine" | | 25 | "echoed" |
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| 0.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 5 | | maxInWindow | 5 | | found | | 0 | | label | "heart pounded in chest" | | count | 1 |
| | 1 | | label | "weight of words/silence" | | count | 1 |
| | 2 | | label | "hung in the air" | | count | 1 |
| | 3 | | label | "sent a shiver through" | | count | 1 |
| | 4 | | label | "flicker of emotion" | | count | 1 |
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| | highlights | | 0 | "heart pounded in her chest" | | 1 | "the weight of his words" | | 2 | "hung in the air" | | 3 | "sent a shiver down" | | 4 | "a glimmer of hope" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 62 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 62 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1034 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 78.32% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 837 | | uniqueNames | 8 | | maxNameDensity | 1.43 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Aurora | 1 | | Carter | 1 | | Eva | 2 | | Lucien | 11 | | Moreau | 1 | | Memories | 1 | | Ptolemy | 2 | | Rory | 12 |
| | persons | | 0 | "Aurora" | | 1 | "Carter" | | 2 | "Eva" | | 3 | "Lucien" | | 4 | "Moreau" | | 5 | "Ptolemy" | | 6 | "Rory" |
| | places | (empty) | | globalScore | 0.783 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 1 | | matches | | 0 | "as if offering his own form of approval" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1034 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 78 | | matches | (empty) | |
| 90.93% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 24.62 | | std | 11.53 | | cv | 0.468 | | sampleLengths | | 0 | 61 | | 1 | 27 | | 2 | 42 | | 3 | 32 | | 4 | 21 | | 5 | 23 | | 6 | 17 | | 7 | 16 | | 8 | 15 | | 9 | 36 | | 10 | 21 | | 11 | 19 | | 12 | 14 | | 13 | 15 | | 14 | 29 | | 15 | 28 | | 16 | 26 | | 17 | 32 | | 18 | 14 | | 19 | 30 | | 20 | 49 | | 21 | 15 | | 22 | 21 | | 23 | 34 | | 24 | 9 | | 25 | 16 | | 26 | 36 | | 27 | 14 | | 28 | 22 | | 29 | 14 | | 30 | 12 | | 31 | 36 | | 32 | 34 | | 33 | 11 | | 34 | 11 | | 35 | 40 | | 36 | 27 | | 37 | 32 | | 38 | 13 | | 39 | 10 | | 40 | 38 | | 41 | 22 |
| |
| 99.60% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 62 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 135 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 78 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 839 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.01907032181168057 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.007151370679380214 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 97.79% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 13.26 | | std | 5.23 | | cv | 0.394 | | sampleLengths | | 0 | 14 | | 1 | 28 | | 2 | 19 | | 3 | 10 | | 4 | 17 | | 5 | 14 | | 6 | 10 | | 7 | 18 | | 8 | 21 | | 9 | 11 | | 10 | 13 | | 11 | 8 | | 12 | 11 | | 13 | 12 | | 14 | 10 | | 15 | 7 | | 16 | 9 | | 17 | 7 | | 18 | 12 | | 19 | 3 | | 20 | 18 | | 21 | 18 | | 22 | 14 | | 23 | 7 | | 24 | 16 | | 25 | 3 | | 26 | 9 | | 27 | 5 | | 28 | 15 | | 29 | 11 | | 30 | 18 | | 31 | 20 | | 32 | 8 | | 33 | 15 | | 34 | 11 | | 35 | 18 | | 36 | 14 | | 37 | 14 | | 38 | 10 | | 39 | 20 | | 40 | 13 | | 41 | 21 | | 42 | 15 | | 43 | 15 | | 44 | 7 | | 45 | 14 | | 46 | 16 | | 47 | 18 | | 48 | 9 | | 49 | 7 |
| |
| 74.36% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.46153846153846156 | | totalSentences | 78 | | uniqueOpeners | 36 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 58.71% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 62 | | matches | | 0 | "Her bright blue eyes met" | | 1 | "He leaned casually on his" | | 2 | "she replied, her voice steady," | | 3 | "She stepped aside, allowing him" | | 4 | "He turned to face her," | | 5 | "she countered, her voice tinged" | | 6 | "Her words were sharp, a" | | 7 | "he said, his tone earnest" | | 8 | "she challenged, her eyes locked" | | 9 | "He hesitated, the weight of" | | 10 | "he admitted, his voice barely" | | 11 | "she began, but the words" | | 12 | "He took a step closer," | | 13 | "She had spent so long" | | 14 | "she asked, her voice laced" | | 15 | "she said, her voice softening" | | 16 | "he acknowledged, his gaze unwavering" | | 17 | "she said finally, her voice" | | 18 | "She nodded, a tentative smile" | | 19 | "he promised, the weight of" |
| | ratio | 0.403 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 62 | | matches | | 0 | "The door creaked open, revealing" | | 1 | "Her bright blue eyes met" | | 2 | "The air between them crackled" | | 3 | "Lucien's voice was smooth, like" | | 4 | "He leaned casually on his" | | 5 | "she replied, her voice steady," | | 6 | "She stepped aside, allowing him" | | 7 | "The scent of curry from" | | 8 | "Ptolemy, the tabby cat, watched" | | 9 | "The cat's tail flicked, a" | | 10 | "Lucien's gaze swept the room," | | 11 | "Rory replied, closing the door" | | 12 | "The three deadbolts clicked into" | | 13 | "He turned to face her," | | 14 | "Rory explained, crossing her arms" | | 15 | "Lucien remarked, a hint of" | | 16 | "she countered, her voice tinged" | | 17 | "Memories of their last encounter" | | 18 | "Lucien's expression softened, the mask" | | 19 | "Her words were sharp, a" |
| | 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 | |
| 69.60% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 4 | | matches | | 0 | "Her bright blue eyes met the mismatched gaze of Lucien Moreau, who stood in the dimly lit hallway, his silhouette framed by the flickering light of the stairwel…" | | 1 | "Memories of their last encounter surfaced, a whirlwind of passion and pain that had left them both scarred." | | 2 | "Ptolemy leapt down from his perch, weaving between their legs with a soft purr, as if offering his own form of approval." | | 3 | "She handed him a mug, their fingers brushing in a fleeting touch that sent a shiver down her spine." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 9 | | matches | | 0 | "Lucien remarked, a hint of a smile playing on his lips" | | 1 | "he said, his tone earnest" | | 2 | "he admitted, his voice barely above a whisper" | | 3 | "she began, but the words faltered, caught in the tangle of her emotions" | | 4 | "Lucien replied, his honesty disarming" | | 5 | "she said, her voice softening" | | 6 | "he acknowledged, his gaze unwavering" | | 7 | "she said finally, her voice steady" | | 8 | "he promised, the weight of his words a solemn vow" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 6 | | fancyTags | | 0 | "Rory explained (explain)" | | 1 | "she challenged (challenge)" | | 2 | "he admitted (admit)" | | 3 | "he acknowledged (acknowledge)" | | 4 | "he promised (promise)" | | 5 | "Lucien agreed (agree)" |
| | dialogueSentences | 37 | | tagDensity | 0.351 | | leniency | 0.703 | | rawRatio | 0.462 | | effectiveRatio | 0.324 | |