| 75.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 1 | | adverbTags | | 0 | "Alex said abruptly [abruptly]" |
| | dialogueSentences | 16 | | tagDensity | 0.438 | | leniency | 0.875 | | rawRatio | 0.143 | | effectiveRatio | 0.125 | |
| 94.70% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 944 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | 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 | 944 | | totalAiIsms | 27 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | |
| | highlights | | 0 | "scanning" | | 1 | "etched" | | 2 | "navigated" | | 3 | "familiar" | | 4 | "eyebrow" | | 5 | "glint" | | 6 | "dancing" | | 7 | "tinged" | | 8 | "dance" | | 9 | "navigating" | | 10 | "unspoken" | | 11 | "weight" | | 12 | "flicker" | | 13 | "fleeting" | | 14 | "whisper" | | 15 | "reminder" | | 16 | "sense of" | | 17 | "newfound" | | 18 | "intensity" | | 19 | "profound" | | 20 | "stark" | | 21 | "chill" | | 22 | "tension" |
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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 | 1 | | narrationSentences | 42 | | matches | | |
| 74.83% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 42 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 51 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 6 | | totalWords | 945 | | ratio | 0.006 | | matches | | 0 | "Chapter 1: Whispers in the Nest" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 810 | | uniqueNames | 11 | | maxNameDensity | 1.6 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Alex" | | discoveredNames | | Whispers | 1 | | Rory | 13 | | Silas | 4 | | Raven | 1 | | Nest | 2 | | Eva | 2 | | Alex | 12 | | Cardiff | 1 | | Map | 1 | | Scotch | 2 | | London | 1 |
| | persons | | 0 | "Rory" | | 1 | "Silas" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Eva" | | 5 | "Alex" |
| | places | | | globalScore | 0.698 | | windowScore | 0.667 | |
| 28.05% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 41 | | glossingSentenceCount | 2 | | matches | | 0 | "as if searching for a ghost" | | 1 | "eyes that seemed to hold a world of stories" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 945 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 51 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 37.8 | | std | 24.65 | | cv | 0.652 | | sampleLengths | | 0 | 6 | | 1 | 82 | | 2 | 107 | | 3 | 13 | | 4 | 60 | | 5 | 34 | | 6 | 28 | | 7 | 28 | | 8 | 22 | | 9 | 22 | | 10 | 26 | | 11 | 37 | | 12 | 36 | | 13 | 12 | | 14 | 34 | | 15 | 27 | | 16 | 25 | | 17 | 27 | | 18 | 40 | | 19 | 31 | | 20 | 26 | | 21 | 24 | | 22 | 51 | | 23 | 48 | | 24 | 99 |
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| 88.55% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 42 | | matches | | 0 | "was forged" | | 1 | "being asked" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 118 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 51 | | ratio | 0.078 | | matches | | 0 | "That's when she saw him – Eva's brother, Alex, standing by the doorway, his eyes scanning the room as if searching for a ghost." | | 1 | "The man before her was a stranger – chiseled features, sharp jawline, and piercing green eyes that seemed to hold a world of stories." | | 2 | "A flicker of something – pain, perhaps, or regret – crossed Alex's face before he masked it with a neutral smile." | | 3 | "Just then, the door swung open once more, and a chill ran down Rory's spine as she made out a figure from across the room – a man with piercing blue eyes, his gaze locked intently on her, the shadows cast by the dim lighting obliterating his features." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 809 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, crescent-shaped scar" |
| | adverbCount | 29 | | adverbRatio | 0.03584672435105068 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.012360939431396786 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 51 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 51 | | mean | 18.53 | | std | 7.88 | | cv | 0.425 | | sampleLengths | | 0 | 6 | | 1 | 20 | | 2 | 20 | | 3 | 18 | | 4 | 24 | | 5 | 22 | | 6 | 12 | | 7 | 18 | | 8 | 24 | | 9 | 21 | | 10 | 10 | | 11 | 13 | | 12 | 22 | | 13 | 18 | | 14 | 20 | | 15 | 17 | | 16 | 17 | | 17 | 22 | | 18 | 6 | | 19 | 21 | | 20 | 7 | | 21 | 15 | | 22 | 7 | | 23 | 22 | | 24 | 14 | | 25 | 12 | | 26 | 17 | | 27 | 20 | | 28 | 20 | | 29 | 16 | | 30 | 12 | | 31 | 21 | | 32 | 13 | | 33 | 27 | | 34 | 25 | | 35 | 7 | | 36 | 20 | | 37 | 23 | | 38 | 17 | | 39 | 31 | | 40 | 12 | | 41 | 14 | | 42 | 22 | | 43 | 2 | | 44 | 18 | | 45 | 33 | | 46 | 30 | | 47 | 18 | | 48 | 48 | | 49 | 20 |
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| 87.58% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5490196078431373 | | totalSentences | 51 | | uniqueOpeners | 28 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 42 | | matches | | 0 | "Just then, the door swung" | | 1 | "Then, as swiftly as he" |
| | ratio | 0.048 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 8 | | totalSentences | 42 | | matches | | 0 | "She nudged her gaze toward" | | 1 | "He navigated through the crowd" | | 2 | "he said, his voice low" | | 3 | "He raised an eyebrow, a" | | 4 | "Their conversation was a delicate" | | 5 | "Their eyes met, and for" | | 6 | "It was a fleeting moment," | | 7 | "She turned to him, a" |
| | ratio | 0.19 | |
| 31.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 36 | | totalSentences | 42 | | matches | | 0 | "**Chapter 1: Whispers in the" | | 1 | "Rory's fingers drummed a staccato" | | 2 | "The Raven's Nest was bustling" | | 3 | "She nudged her gaze toward" | | 4 | "That's when she saw him" | | 5 | "The last time Rory had" | | 6 | "That was years ago, before" | | 7 | "Alex's gaze finally found hers," | | 8 | "The man before her was" | | 9 | "The boy she once knew" | | 10 | "This version of Alex was" | | 11 | "The name barely escaped her" | | 12 | "A hint of a smile" | | 13 | "He navigated through the crowd" | | 14 | "he said, his voice low" | | 15 | "He raised an eyebrow, a" | | 16 | "Rory's hand instinctively moved to" | | 17 | "Alex slid onto the stool" | | 18 | "Silas, ever the observant host," | | 19 | "Alex said, his voice tinged" |
| | ratio | 0.857 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 42 | | matches | (empty) | | ratio | 0 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 3 | | matches | | 0 | "That's when she saw him – Eva's brother, Alex, standing by the doorway, his eyes scanning the room as if searching for a ghost." | | 1 | "Alex's gaze roamed the bar, taking in the ancient maps and black-and-white photographs that adorned the walls." | | 2 | "The pause that followed was heavy with the ghosts of their past, the memories of laughter, dreams, and the unspoken promises they'd once made to each other." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 3 | | matches | | 0 | "He raised, a glint of amusement dancing in his eyes" | | 1 | "Rory ventured, the name hanging in the air like a challenge" | | 2 | "Alex began, his voice low," |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 16 | | tagDensity | 0.188 | | leniency | 0.375 | | rawRatio | 0 | | effectiveRatio | 0 | |