| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 5 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.87% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1632 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 41.79% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1632 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "silence" | | 1 | "velvet" | | 2 | "pulsed" | | 3 | "rhythmic" | | 4 | "resonance" | | 5 | "familiar" | | 6 | "pulse" | | 7 | "weight" | | 8 | "tension" | | 9 | "footfall" | | 10 | "crystal" |
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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 | 183 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 183 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 185 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1631 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 1623 | | uniqueNames | 18 | | maxNameDensity | 0.86 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Park | 1 | | London | 5 | | Carter | 1 | | Heartstone | 2 | | Pendant | 2 | | November | 1 | | Familiar | 1 | | Cardiff | 2 | | Golden | 1 | | Empress | 1 | | Grove | 3 | | Earth | 1 | | Fae | 1 | | Evan | 1 | | Cat-shopping | 1 | | Yu-Fei | 1 | | Knot | 1 | | Aurora | 14 |
| | persons | | 0 | "Park" | | 1 | "Carter" | | 2 | "Pendant" | | 3 | "Evan" | | 4 | "Knot" | | 5 | "Aurora" |
| | places | | 0 | "London" | | 1 | "Cardiff" | | 2 | "Grove" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 118 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like veins" | | 1 | "felt like a held dumpling" |
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| 77.38% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.226 | | wordCount | 1631 | | matches | | 0 | "Not from the cold, but from the adrenaline drop" | | 1 | "Not into a hill, but into a void" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 185 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 67 | | mean | 24.34 | | std | 22.01 | | cv | 0.904 | | sampleLengths | | 0 | 7 | | 1 | 55 | | 2 | 88 | | 3 | 78 | | 4 | 4 | | 5 | 15 | | 6 | 54 | | 7 | 60 | | 8 | 9 | | 9 | 41 | | 10 | 10 | | 11 | 89 | | 12 | 6 | | 13 | 57 | | 14 | 32 | | 15 | 44 | | 16 | 10 | | 17 | 8 | | 18 | 25 | | 19 | 8 | | 20 | 31 | | 21 | 28 | | 22 | 83 | | 23 | 6 | | 24 | 31 | | 25 | 25 | | 26 | 48 | | 27 | 45 | | 28 | 5 | | 29 | 47 | | 30 | 40 | | 31 | 25 | | 32 | 3 | | 33 | 10 | | 34 | 3 | | 35 | 38 | | 36 | 43 | | 37 | 27 | | 38 | 17 | | 39 | 19 | | 40 | 31 | | 41 | 45 | | 42 | 4 | | 43 | 10 | | 44 | 21 | | 45 | 30 | | 46 | 21 | | 47 | 11 | | 48 | 11 | | 49 | 18 |
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| 95.68% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 183 | | matches | | 0 | "were carved" | | 1 | "was raised" | | 2 | "was carpeted" | | 3 | "was taught" | | 4 | "was gone" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 13 | | totalVerbs | 261 | | matches | | 0 | "was like dragging" | | 1 | "was holding" | | 2 | "were shaking" | | 3 | "were sliding" | | 4 | "was burning" | | 5 | "were going" | | 6 | "was not looking" | | 7 | "was looking" | | 8 | "was not coming" | | 9 | "was lying" | | 10 | "was leaving" | | 11 | "was unspooling" | | 12 | "were turning" |
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| 96.53% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 2 | | flaggedSentences | 3 | | totalSentences | 185 | | ratio | 0.016 | | matches | | 0 | "It used to be the specific, empty hum of London seeping through the treeline—the distant, monotone thrum of the M4 or the rattle of a passing train on the night line." | | 1 | "They were not marked with the curse of the time-traveling tourists she’d seen in documentaries; they were carved with something older, symbols that looked like veins." | | 2 | "It was not light; it was a warning light, a flare from the deep of the ocean." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1631 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 44 | | adverbRatio | 0.0269773145309626 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.004291845493562232 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 185 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 185 | | mean | 8.82 | | std | 5.69 | | cv | 0.645 | | sampleLengths | | 0 | 7 | | 1 | 31 | | 2 | 4 | | 3 | 20 | | 4 | 14 | | 5 | 11 | | 6 | 15 | | 7 | 8 | | 8 | 14 | | 9 | 26 | | 10 | 17 | | 11 | 16 | | 12 | 22 | | 13 | 15 | | 14 | 8 | | 15 | 1 | | 16 | 1 | | 17 | 1 | | 18 | 1 | | 19 | 6 | | 20 | 9 | | 21 | 4 | | 22 | 16 | | 23 | 11 | | 24 | 23 | | 25 | 5 | | 26 | 4 | | 27 | 5 | | 28 | 16 | | 29 | 16 | | 30 | 14 | | 31 | 9 | | 32 | 6 | | 33 | 20 | | 34 | 11 | | 35 | 4 | | 36 | 4 | | 37 | 6 | | 38 | 12 | | 39 | 16 | | 40 | 8 | | 41 | 19 | | 42 | 15 | | 43 | 11 | | 44 | 2 | | 45 | 6 | | 46 | 6 | | 47 | 3 | | 48 | 14 | | 49 | 20 |
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| 30.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 37 | | diversityRatio | 0.1945945945945946 | | totalSentences | 185 | | uniqueOpeners | 36 | |
| 77.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 172 | | matches | | 0 | "Just the wet slap of" | | 1 | "Usually, it was cold, dead" | | 2 | "Instead, the ground was carpeted" | | 3 | "Just a knot of black," |
| | ratio | 0.023 | |
| 40.93% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 77 | | totalSentences | 172 | | matches | | 0 | "It used to be the" | | 1 | "It was like dragging them" | | 2 | "They were not marked with" | | 3 | "She pulled down the collar" | | 4 | "It didn't beat like a" | | 5 | "It pulsed like a sealant" | | 6 | "Her left fist knotted at" | | 7 | "She rubbed at it unconsciously," | | 8 | "They shouldn't be blooming." | | 9 | "It was November in London." | | 10 | "They were brittle as ash," | | 11 | "It settled in the dirt," | | 12 | "She shook her head, a" | | 13 | "It was not cold." | | 14 | "It was the absence of" | | 15 | "She was twenty-five years old," | | 16 | "She knew London's dark corners," | | 17 | "She knew ten seconds could" | | 18 | "She didn't turn." | | 19 | "She knew the movement was" |
| | ratio | 0.448 | |
| 35.58% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 146 | | totalSentences | 172 | | matches | | 0 | "The silence of the Park" | | 1 | "It used to be the" | | 2 | "Aurora Carter leaned against the" | | 3 | "The wood was too old" | | 4 | "It was like dragging them" | | 5 | "They were not marked with" | | 6 | "She pulled down the collar" | | 7 | "The Heartstone Pendant sat three" | | 8 | "A slow, rhythmic heat traveled" | | 9 | "It didn't beat like a" | | 10 | "It pulsed like a sealant" | | 11 | "Aurora took a step." | | 12 | "Her left fist knotted at" | | 13 | "The crescent shape was raised," | | 14 | "She rubbed at it unconsciously," | | 15 | "They shouldn't be blooming." | | 16 | "It was November in London." | | 17 | "There should be dead leaves," | | 18 | "They were brittle as ash," | | 19 | "The word slipped out, sharper" |
| | ratio | 0.849 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 4 | | totalSentences | 172 | | matches | | 0 | "Now there was nothing." | | 1 | "Now, as she stood on" | | 2 | "To scream meant vulnerability." | | 3 | "To scream meant you were" |
| | ratio | 0.023 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 64 | | technicalSentenceCount | 3 | | matches | | 0 | "They were not marked with the curse of the time-traveling tourists she’d seen in documentaries; they were carved with something older, symbols that looked like …" | | 1 | "She was a woman who had escaped Evan, who had left Cardiff to avoid the smell of tobacco and tears, who now worked Cat-shopping for Yu-Fei." | | 2 | "It shaped into a silence that filled her ears, a vacuum." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "She whispered (whisper)" |
| | dialogueSentences | 5 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 1 | | effectiveRatio | 0.4 | |