| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 9 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 70.53% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 509 | | totalAiIsmAdverbs | 3 | | found | | 0 | | | 1 | | adverb | "reluctantly" | | count | 1 |
| | 2 | |
| | highlights | | 0 | "completely" | | 1 | "reluctantly" | | 2 | "truly" |
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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) | |
| 21.41% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 509 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "flickered" | | 1 | "electric" | | 2 | "unspoken" | | 3 | "traced" | | 4 | "weight" | | 5 | "tension" | | 6 | "trembled" |
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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 | 0 | | narrationSentences | 46 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 46 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 50 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 504 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 75.53% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 470 | | uniqueNames | 8 | | maxNameDensity | 1.49 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 7 | | Raven | 1 | | Nest | 1 | | Daniel | 5 | | Cardiff | 1 | | London | 1 | | Eva | 1 | | Silas | 3 |
| | persons | | 0 | "Aurora" | | 1 | "Raven" | | 2 | "Daniel" | | 3 | "Eva" | | 4 | "Silas" |
| | places | | | globalScore | 0.755 | | windowScore | 1 | |
| 78.57% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 35 | | glossingSentenceCount | 1 | | matches | | 0 | "not quite lovers, not quite friends" | | 1 | "not quite friends" |
| |
| 1.59% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.984 | | wordCount | 504 | | matches | | 0 | "Not the soft chuckle she remembered, but something harder" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 50 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 21 | | mean | 24 | | std | 15.31 | | cv | 0.638 | | sampleLengths | | 0 | 57 | | 1 | 39 | | 2 | 1 | | 3 | 5 | | 4 | 43 | | 5 | 25 | | 6 | 14 | | 7 | 26 | | 8 | 34 | | 9 | 5 | | 10 | 11 | | 11 | 49 | | 12 | 14 | | 13 | 42 | | 14 | 10 | | 15 | 21 | | 16 | 17 | | 17 | 35 | | 18 | 10 | | 19 | 23 | | 20 | 23 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 46 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 77 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 50 | | ratio | 0.1 | | matches | | 0 | "Aurora's hand instinctively touched the small crescent-shaped scar on her own wrist—a nervous habit from childhood." | | 1 | "A lifetime ago, they had been something—not quite lovers, not quite friends." | | 2 | "He had been studying theoretical physics; she had been reluctantly pursuing pre-law, always more interested in the gaps between rules than the rules themselves." | | 3 | "The bar's ambient noise—glasses clinking, low conversations, the distant hum of a vintage radio—created a backdrop to their silent battle." | | 4 | "Something lurked behind his eyes—fear, regret, something unresolved that time had not softened." |
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| 88.73% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 478 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 22 | | adverbRatio | 0.04602510460251046 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.01882845188284519 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 50 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 50 | | mean | 10.08 | | std | 6.38 | | cv | 0.633 | | sampleLengths | | 0 | 21 | | 1 | 19 | | 2 | 11 | | 3 | 6 | | 4 | 15 | | 5 | 11 | | 6 | 13 | | 7 | 1 | | 8 | 2 | | 9 | 2 | | 10 | 1 | | 11 | 14 | | 12 | 11 | | 13 | 18 | | 14 | 16 | | 15 | 9 | | 16 | 9 | | 17 | 3 | | 18 | 2 | | 19 | 11 | | 20 | 9 | | 21 | 6 | | 22 | 14 | | 23 | 11 | | 24 | 9 | | 25 | 5 | | 26 | 11 | | 27 | 12 | | 28 | 13 | | 29 | 24 | | 30 | 9 | | 31 | 5 | | 32 | 8 | | 33 | 34 | | 34 | 10 | | 35 | 2 | | 36 | 9 | | 37 | 1 | | 38 | 9 | | 39 | 8 | | 40 | 9 | | 41 | 20 | | 42 | 15 | | 43 | 4 | | 44 | 6 | | 45 | 10 | | 46 | 13 | | 47 | 6 | | 48 | 5 | | 49 | 12 |
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| 90.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.54 | | totalSentences | 50 | | uniqueOpeners | 27 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 38 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 9 | | totalSentences | 38 | | matches | | 0 | "She'd lived above this place" | | 1 | "He looked up, recognition softening" | | 2 | "He sat in a corner" | | 3 | "she said, more a statement" | | 4 | "He gestured to the empty" | | 5 | "She gave an almost imperceptible" | | 6 | "He had been studying theoretical" | | 7 | "Her voice was cool, controlled" | | 8 | "They simply wait, patient and" |
| | ratio | 0.237 | |
| 25.79% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 33 | | totalSentences | 38 | | matches | | 0 | "The green neon sign flickered" | | 1 | "Dust motes danced in the" | | 2 | "She'd lived above this place" | | 3 | "Something electric hummed beneath her" | | 4 | "Silas was polishing glasses behind" | | 5 | "He looked up, recognition softening" | | 6 | "He sat in a corner" | | 7 | "The Daniel she remembered had" | | 8 | "This version was harder, his" | | 9 | "Aurora's hand instinctively touched the" | | 10 | "she said, more a statement" | | 11 | "He gestured to the empty" | | 12 | "Silas caught her eye, a" | | 13 | "She gave an almost imperceptible" | | 14 | "This was something she would" | | 15 | "The booth's leather was cracked," | | 16 | "Aurora sat, her black hair" | | 17 | "Daniel watched her, sizing her" | | 18 | "Aurora replied, her Cardiff accent" | | 19 | "A lifetime ago, they had" |
| | ratio | 0.868 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 38 | | matches | | 0 | "Before she could speak, a" |
| | ratio | 0.026 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 2 | | matches | | 0 | "Dust motes danced in the amber bar light, settling on old maps and faded photographs that lined the walls." | | 1 | "University colleagues who understood each other in the way damaged people sometimes do." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "Aurora replied, her Cardiff accent sharper than she intended" |
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| 38.89% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | 0 | "Aurora repeated (repeat)" |
| | dialogueSentences | 9 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0.25 | | effectiveRatio | 0.222 | |