| 92.86% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 27 | | adverbTagCount | 3 | | adverbTags | | 0 | "He leaned back [back]" | | 1 | "he said softly [softly]" | | 2 | "She looked around [around]" |
| | dialogueSentences | 56 | | tagDensity | 0.482 | | leniency | 0.964 | | rawRatio | 0.111 | | effectiveRatio | 0.107 | |
| 78.99% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1190 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "suddenly" | | 2 | "softly" | | 3 | "really" |
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| 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) | |
| 32.77% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1190 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "warmth" | | 1 | "sanctuary" | | 2 | "encounter" | | 3 | "unspoken" | | 4 | "silence" | | 5 | "echoed" | | 6 | "weight" | | 7 | "familiar" | | 8 | "comforting" | | 9 | "tension" | | 10 | "fleeting" |
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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 | 70 | | matches | | |
| 61.22% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 70 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 98 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 5 | | totalWords | 1177 | | ratio | 0.004 | | matches | | 0 | "Time's up. Discuss your ghosts." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 814 | | uniqueNames | 5 | | maxNameDensity | 1.47 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Evan" | | discoveredNames | | Aurora | 12 | | Silas | 11 | | Raven | 2 | | Nest | 2 | | Evan | 10 |
| | persons | | 0 | "Aurora" | | 1 | "Silas" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Evan" |
| | places | (empty) | | globalScore | 0.763 | | windowScore | 0.667 | |
| 69.35% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 2 | | matches | | 0 | "as if trying on a new coat" | | 1 | "He winced, visibly, and took a drink t" |
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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 | 1177 | | matches | (empty) | |
| 98.64% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 98 | | matches | | 0 | "knew that voice" | | 1 | "knew that her" |
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| 94.64% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 25.04 | | std | 12.05 | | cv | 0.481 | | sampleLengths | | 0 | 51 | | 1 | 58 | | 2 | 40 | | 3 | 52 | | 4 | 13 | | 5 | 20 | | 6 | 40 | | 7 | 31 | | 8 | 22 | | 9 | 16 | | 10 | 18 | | 11 | 10 | | 12 | 28 | | 13 | 30 | | 14 | 33 | | 15 | 21 | | 16 | 47 | | 17 | 27 | | 18 | 12 | | 19 | 14 | | 20 | 25 | | 21 | 33 | | 22 | 29 | | 23 | 22 | | 24 | 8 | | 25 | 13 | | 26 | 25 | | 27 | 19 | | 28 | 30 | | 29 | 20 | | 30 | 18 | | 31 | 6 | | 32 | 13 | | 33 | 20 | | 34 | 31 | | 35 | 10 | | 36 | 25 | | 37 | 20 | | 38 | 29 | | 39 | 26 | | 40 | 14 | | 41 | 37 | | 42 | 9 | | 43 | 33 | | 44 | 14 | | 45 | 25 | | 46 | 40 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 70 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 163 | | matches | (empty) | |
| 26.24% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 98 | | ratio | 0.041 | | matches | | 0 | "But she knew better; he cared deeply for the people in his orbit." | | 1 | "It was what made The Raven's Nest more than just a bar—a sanctuary for lost souls like her." | | 2 | "Aurora knew that voice too well—smooth, faint lilting undertone, a voice she hadn’t heard in years but wouldn't forget." | | 3 | "A few showed unmarked coordinates, MI6 whispers—his work, she suspected." |
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| 76.84% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 822 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 49 | | adverbRatio | 0.05961070559610705 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.015815085158150853 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 98 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 98 | | mean | 12.01 | | std | 6.71 | | cv | 0.558 | | sampleLengths | | 0 | 13 | | 1 | 9 | | 2 | 11 | | 3 | 18 | | 4 | 28 | | 5 | 21 | | 6 | 9 | | 7 | 17 | | 8 | 17 | | 9 | 6 | | 10 | 21 | | 11 | 13 | | 12 | 18 | | 13 | 6 | | 14 | 7 | | 15 | 19 | | 16 | 1 | | 17 | 22 | | 18 | 9 | | 19 | 9 | | 20 | 18 | | 21 | 6 | | 22 | 7 | | 23 | 16 | | 24 | 6 | | 25 | 16 | | 26 | 13 | | 27 | 5 | | 28 | 8 | | 29 | 2 | | 30 | 12 | | 31 | 16 | | 32 | 20 | | 33 | 10 | | 34 | 24 | | 35 | 9 | | 36 | 21 | | 37 | 21 | | 38 | 6 | | 39 | 20 | | 40 | 20 | | 41 | 7 | | 42 | 4 | | 43 | 8 | | 44 | 11 | | 45 | 3 | | 46 | 7 | | 47 | 18 | | 48 | 7 | | 49 | 26 |
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| 87.76% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5510204081632653 | | totalSentences | 98 | | uniqueOpeners | 54 | |
| 49.02% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 68 | | matches | | 0 | "Then, an unspoken edict: *Time's" |
| | ratio | 0.015 | |
| 37.65% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 68 | | matches | | 0 | "she called, her voice cracking" | | 1 | "His eyes, though hazel, seemed" | | 2 | "She avoided his gaze, focusing" | | 3 | "It was what made The" | | 4 | "He moved into her line" | | 5 | "His slender form seemed more" | | 6 | "Her fingers brushed against the" | | 7 | "She looked up, meeting Evan's" | | 8 | "She corrected him mechanically, not" | | 9 | "He tested the name, as" | | 10 | "She took a long sip" | | 11 | "He winced, visibly, and took" | | 12 | "Her bright blue eyes met" | | 13 | "He leant in, almost conspiratorially" | | 14 | "She laughed, a bitter edge" | | 15 | "He leaned back, giving her" | | 16 | "She cut him off" | | 17 | "His eyes met hers again" | | 18 | "she snapped, then immediately wished" | | 19 | "he said softly" |
| | ratio | 0.456 | |
| 18.82% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 68 | | matches | | 0 | "Aurora's knuckles whitened as she" | | 1 | "she called, her voice cracking" | | 2 | "Aurora had always been the" | | 3 | "Tonight, however, her cool-headed demeanour" | | 4 | "Silas's grey-streaked auburn hair caught" | | 5 | "His eyes, though hazel, seemed" | | 6 | "She avoided his gaze, focusing" | | 7 | "The door behind her swung" | | 8 | "Aurora didn't turn, immersed in" | | 9 | "Silas's voice carried a hint" | | 10 | "It was what made The" | | 11 | "The voice that responded wasn't" | | 12 | "Aurora knew that voice too" | | 13 | "He moved into her line" | | 14 | "His slender form seemed more" | | 15 | "Her fingers brushed against the" | | 16 | "She looked up, meeting Evan's" | | 17 | "Evan replied, sliding into the" | | 18 | "She corrected him mechanically, not" | | 19 | "He tested the name, as" |
| | ratio | 0.882 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 68 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 1 | | matches | | 0 | "Tonight, however, her cool-headed demeanour felt foreign, swallowed by a sea of memories that refused to stay buried." |
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| 50.93% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 27 | | uselessAdditionCount | 4 | | matches | | 0 | "she called, her voice cracking just slightly" | | 1 | "He tested, as if trying on a new coat" | | 2 | "Evan said, his gaze drifting to the bottles behind the bar" | | 3 | "she said, her voice growing more assertive" |
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| 60.71% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 5 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "She corrected (correct)" | | 2 | "Silas responded (respond)" | | 3 | "polished shoes she added (add)" | | 4 | "she snapped (snap)" |
| | dialogueSentences | 56 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.357 | | effectiveRatio | 0.179 | |