| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 31 | | adverbTagCount | 3 | | adverbTags | | 0 | "Maggie's composure cracked just [just]" | | 1 | "Maggie nodded slowly [slowly]" | | 2 | "she said simply [simply]" |
| | dialogueSentences | 78 | | tagDensity | 0.397 | | leniency | 0.795 | | rawRatio | 0.097 | | effectiveRatio | 0.077 | |
| 77.93% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1586 | | totalAiIsmAdverbs | 7 | | found | | 0 | | adverb | "deliberately" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | | | 5 | |
| | highlights | | 0 | "deliberately" | | 1 | "slightly" | | 2 | "slowly" | | 3 | "truly" | | 4 | "completely" | | 5 | "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) | |
| 77.93% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1586 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "gloom" | | 1 | "weight" | | 2 | "flickered" | | 3 | "traced" | | 4 | "silk" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 98 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 98 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 145 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 49 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1585 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 1 | | matches | | 0 | "When they were alone again, she asked the question that had been sitting in her chest since the name first reached her e…" |
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| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 64 | | wordCount | 966 | | uniqueNames | 8 | | maxNameDensity | 3 | | worstName | "Eleanor" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Eleanor" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Eleanor | 29 | | Maggie | 24 | | Maggi | 3 | | Cardiff | 2 | | St | 1 | | Magii | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Eleanor" | | 3 | "Maggie" | | 4 | "Magii" |
| | places | | | globalScore | 0 | | windowScore | 0.167 | |
| 36.36% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like the girl Eleanor had known, t" | | 1 | "sound that seemed to belong to a different world" | | 2 | "sounded like longing" |
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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 | 1585 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 145 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 71 | | mean | 22.32 | | std | 17.1 | | cv | 0.766 | | sampleLengths | | 0 | 47 | | 1 | 57 | | 2 | 11 | | 3 | 2 | | 4 | 28 | | 5 | 79 | | 6 | 4 | | 7 | 15 | | 8 | 14 | | 9 | 46 | | 10 | 9 | | 11 | 23 | | 12 | 20 | | 13 | 6 | | 14 | 2 | | 15 | 26 | | 16 | 18 | | 17 | 9 | | 18 | 13 | | 19 | 12 | | 20 | 35 | | 21 | 5 | | 22 | 39 | | 23 | 2 | | 24 | 11 | | 25 | 7 | | 26 | 67 | | 27 | 4 | | 28 | 27 | | 29 | 4 | | 30 | 46 | | 31 | 7 | | 32 | 8 | | 33 | 28 | | 34 | 11 | | 35 | 20 | | 36 | 34 | | 37 | 22 | | 38 | 9 | | 39 | 21 | | 40 | 2 | | 41 | 28 | | 42 | 27 | | 43 | 58 | | 44 | 39 | | 45 | 45 | | 46 | 3 | | 47 | 25 | | 48 | 14 | | 49 | 44 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 98 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 188 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 145 | | ratio | 0.007 | | matches | | 0 | "But the eyes—those stayed the same." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 971 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 36 | | adverbRatio | 0.037075180226570546 | | lyAdverbCount | 18 | | lyAdverbRatio | 0.018537590113285273 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 145 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 145 | | mean | 10.93 | | std | 8.88 | | cv | 0.812 | | sampleLengths | | 0 | 8 | | 1 | 24 | | 2 | 6 | | 3 | 9 | | 4 | 6 | | 5 | 17 | | 6 | 25 | | 7 | 9 | | 8 | 11 | | 9 | 2 | | 10 | 6 | | 11 | 11 | | 12 | 1 | | 13 | 10 | | 14 | 13 | | 15 | 18 | | 16 | 13 | | 17 | 22 | | 18 | 6 | | 19 | 7 | | 20 | 3 | | 21 | 1 | | 22 | 10 | | 23 | 5 | | 24 | 11 | | 25 | 3 | | 26 | 15 | | 27 | 31 | | 28 | 4 | | 29 | 5 | | 30 | 13 | | 31 | 10 | | 32 | 10 | | 33 | 10 | | 34 | 3 | | 35 | 3 | | 36 | 2 | | 37 | 7 | | 38 | 19 | | 39 | 5 | | 40 | 13 | | 41 | 3 | | 42 | 6 | | 43 | 10 | | 44 | 3 | | 45 | 6 | | 46 | 6 | | 47 | 3 | | 48 | 9 | | 49 | 23 |
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| 45.52% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.3310344827586207 | | totalSentences | 145 | | uniqueOpeners | 48 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 85 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 85 | | matches | | 0 | "She hadn't come looking for" | | 1 | "She claimed a booth near" | | 2 | "She was halfway through her" | | 3 | "She wore a charcoal coat" | | 4 | "Her face had sharpened into" | | 5 | "She declined the offer of" | | 6 | "They sat with that for" | | 7 | "She trailed off" | | 8 | "She remembered all of it." | | 9 | "She wrapped her fingers around" | | 10 | "She paused, searching for the" | | 11 | "Her hands were trembling, just" | | 12 | "Her fingers found Maggi's, cold" | | 13 | "She reached into her coat" | | 14 | "she said simply" | | 15 | "She blinked rapidly, her composure" |
| | ratio | 0.188 | |
| 24.71% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 85 | | matches | | 0 | "The rain had driven her" | | 1 | "Eleanor told herself that as" | | 2 | "She hadn't come looking for" | | 3 | "The Raven's Nest suited her" | | 4 | "She claimed a booth near" | | 5 | "The kind of place that" | | 6 | "She was halfway through her" | | 7 | "The voice came from her" | | 8 | "That particular music her mother" | | 9 | "The woman standing beside her" | | 10 | "She wore a charcoal coat" | | 11 | "Her face had sharpened into" | | 12 | "That particular shade of grey-green," | | 13 | "The correction came automatic, accompanied" | | 14 | "Eleanor gestured to the empty" | | 15 | "Maggie slid into the booth" | | 16 | "She declined the offer of" | | 17 | "Eleanor heard the number leave" | | 18 | "Something flickered across Maggi's face," | | 19 | "Eleanor's throat tightened." |
| | ratio | 0.871 | |
| 58.82% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 85 | | matches | | 0 | "When they were alone again," |
| | ratio | 0.012 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 1 | | matches | | 0 | "And in a dimly lit booth in a bar called The Raven's Nest, two women who had been sisters in everything but blood sat with the weight of thirteen years between …" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 31 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 3 | | fancyTags | | 0 | "Eleanor breathed (breathe)" | | 1 | "Maggie admitted (admit)" | | 2 | "she whispered (whisper)" |
| | dialogueSentences | 78 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0.231 | | effectiveRatio | 0.077 | |