| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 5 | | adverbTags | | 0 | "he finally said [finally]" | | 1 | "he said softly [softly]" | | 2 | "he said softly [softly]" | | 3 | "Silas asked suddenly [suddenly]" | | 4 | "His hand swept vaguely [vaguely]" |
| | dialogueSentences | 31 | | tagDensity | 0.419 | | leniency | 0.839 | | rawRatio | 0.385 | | effectiveRatio | 0.323 | |
| 43.93% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1070 | | totalAiIsmAdverbs | 12 | | found | | | highlights | | 0 | "softly" | | 1 | "slightly" | | 2 | "slowly" | | 3 | "gently" | | 4 | "suddenly" | | 5 | "sharply" |
| |
| 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) | |
| 34.58% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1070 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "flickered" | | 1 | "footsteps" | | 2 | "scanning" | | 3 | "familiar" | | 4 | "pounding" | | 5 | "weight" | | 6 | "flicker" | | 7 | "silence" | | 8 | "unspoken" | | 9 | "flicked" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "air was thick with" | | count | 1 |
| | 1 | | label | "weight of words/silence" | | count | 1 |
|
| | highlights | | 0 | "The air was thick with" | | 1 | "The weight of their silence" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 67 | | matches | | 0 | "a flicker of pride" | | 1 | "was lonely" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 67 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 85 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1066 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 845 | | uniqueNames | 7 | | maxNameDensity | 0.95 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | London | 2 | | Carter | 1 | | Silas | 8 | | Blackwood | 1 | | Rory | 5 |
| | persons | | 0 | "Raven" | | 1 | "Carter" | | 2 | "Silas" | | 3 | "Blackwood" | | 4 | "Rory" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 5 | | matches | | 0 | "hug that seemed to stretch longer than it should" | | 1 | "as if trying to settle old ghosts" | | 2 | "seemed sharpened even further" | | 3 | "as if remembering a different life" | | 4 | "as if weighing her words" |
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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 | 1066 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 85 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 27.33 | | std | 18.15 | | cv | 0.664 | | sampleLengths | | 0 | 73 | | 1 | 64 | | 2 | 72 | | 3 | 57 | | 4 | 33 | | 5 | 9 | | 6 | 17 | | 7 | 36 | | 8 | 7 | | 9 | 47 | | 10 | 38 | | 11 | 13 | | 12 | 19 | | 13 | 24 | | 14 | 10 | | 15 | 52 | | 16 | 15 | | 17 | 18 | | 18 | 22 | | 19 | 25 | | 20 | 43 | | 21 | 10 | | 22 | 14 | | 23 | 22 | | 24 | 22 | | 25 | 13 | | 26 | 5 | | 27 | 21 | | 28 | 32 | | 29 | 23 | | 30 | 35 | | 31 | 13 | | 32 | 31 | | 33 | 9 | | 34 | 7 | | 35 | 33 | | 36 | 15 | | 37 | 14 | | 38 | 53 |
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| 94.79% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 67 | | matches | | 0 | "were fixed" | | 1 | "was tousled" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 147 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 85 | | ratio | 0.012 | | matches | | 0 | "Outside, the London night pressed on in its endless murmur, but inside, the space between them held a different kind of quiet — full of stories still waiting to be told." |
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| 89.03% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 849 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 34 | | adverbRatio | 0.04004711425206125 | | lyAdverbCount | 22 | | lyAdverbRatio | 0.02591283863368669 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 85 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 85 | | mean | 12.54 | | std | 6.46 | | cv | 0.515 | | sampleLengths | | 0 | 24 | | 1 | 23 | | 2 | 26 | | 3 | 12 | | 4 | 24 | | 5 | 13 | | 6 | 15 | | 7 | 17 | | 8 | 22 | | 9 | 17 | | 10 | 16 | | 11 | 11 | | 12 | 19 | | 13 | 8 | | 14 | 19 | | 15 | 19 | | 16 | 14 | | 17 | 9 | | 18 | 14 | | 19 | 3 | | 20 | 25 | | 21 | 11 | | 22 | 7 | | 23 | 15 | | 24 | 8 | | 25 | 24 | | 26 | 19 | | 27 | 19 | | 28 | 8 | | 29 | 5 | | 30 | 7 | | 31 | 12 | | 32 | 19 | | 33 | 5 | | 34 | 7 | | 35 | 3 | | 36 | 28 | | 37 | 8 | | 38 | 16 | | 39 | 8 | | 40 | 7 | | 41 | 6 | | 42 | 12 | | 43 | 6 | | 44 | 16 | | 45 | 11 | | 46 | 14 | | 47 | 11 | | 48 | 17 | | 49 | 15 |
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| 65.49% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.43529411764705883 | | totalSentences | 85 | | uniqueOpeners | 37 | |
| 50.51% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 66 | | matches | | 0 | "Instead, she took a long" |
| | ratio | 0.015 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 66 | | matches | | 0 | "She kept her eyes low," | | 1 | "She clutched her coat tighter" | | 2 | "His hazel eyes were fixed" | | 3 | "His grey-streaked auburn hair was" | | 4 | "She saw him glance up," | | 5 | "His face softened, but not" | | 6 | "he said, voice gravelly but" | | 7 | "She gave a faint nod," | | 8 | "He extended a hand, but" | | 9 | "She glimpsed the faint scar" | | 10 | "She found an empty seat" | | 11 | "he finally said, taking a" | | 12 | "She shrugged, feeling a little" | | 13 | "He studied her face, the" | | 14 | "he said softly" | | 15 | "Her lips pressed into a" | | 16 | "He flicked a look toward" | | 17 | "She turned to face him" | | 18 | "He chuckled softly, noting her" | | 19 | "She looked away, fingering the" |
| | ratio | 0.561 | |
| 5.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 66 | | matches | | 0 | "The low hum of conversations" | | 1 | "Shadows stretched across the walls" | | 2 | "The green neon sign flickered" | | 3 | "Aurora Carter stepped inside, her" | | 4 | "She kept her eyes low," | | 5 | "She clutched her coat tighter" | | 6 | "The bar was quieter than" | | 7 | "His hazel eyes were fixed" | | 8 | "His grey-streaked auburn hair was" | | 9 | "The silver signet ring on" | | 10 | "Rory hesitated just within the" | | 11 | "The air was thick with" | | 12 | "She saw him glance up," | | 13 | "The moment their eyes met," | | 14 | "Silas set down his glass" | | 15 | "His face softened, but not" | | 16 | "he said, voice gravelly but" | | 17 | "She gave a faint nod," | | 18 | "He extended a hand, but" | | 19 | "Silas murmured, voice low" |
| | ratio | 0.909 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 66 | | matches | (empty) | | ratio | 0 | |
| 65.64% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 4 | | matches | | 0 | "The green neon sign flickered softly above the entrance, casting a pallid glow that made the whole place seem like some secret alcove from another life." | | 1 | "His grey-streaked auburn hair was tousled, as if he’d run a hand through it too many times." | | 2 | "He extended a hand, but she stepped in first, hesitating before settling into a brief, tense hug that seemed to stretch longer than it should." | | 3 | "He shrugged, gaze drifting towards the photographs on the wall, as if remembering a different life." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 4 | | matches | | 0 | "he said, voice gravelly but steady" | | 1 | "Silas murmured, voice low" | | 2 | "Silas said, voice low" | | 3 | "she replied, voice sharper than intended" |
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| 53.23% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 3 | | fancyTags | | 0 | "Silas murmured (murmur)" | | 1 | "Rory responded (respond)" | | 2 | "Rory guessed (guess)" |
| | dialogueSentences | 31 | | tagDensity | 0.323 | | leniency | 0.645 | | rawRatio | 0.3 | | effectiveRatio | 0.194 | |