| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.08% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 774 | | 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) | |
| 16.02% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 774 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "loomed" | | 1 | "gleaming" | | 2 | "oppressive" | | 3 | "silence" | | 4 | "pulsed" | | 5 | "warmth" | | 6 | "dancing" | | 7 | "porcelain" | | 8 | "perfect" | | 9 | "echoed" |
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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 | 90 | | matches | (empty) | |
| 95.24% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 90 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 91 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 21 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 3 | | totalWords | 765 | | ratio | 0.004 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 71.05% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 760 | | uniqueNames | 8 | | maxNameDensity | 1.58 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Aurora | 1 | | Carter | 1 | | Richmond | 1 | | Heartstone | 5 | | Fae-touched | 1 | | Isolde | 1 | | London | 1 | | Rory | 12 |
| | persons | | 0 | "Aurora" | | 1 | "Carter" | | 2 | "Heartstone" | | 3 | "Rory" |
| | places | | 0 | "Richmond" | | 1 | "Isolde" | | 2 | "London" |
| | globalScore | 0.711 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 765 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 91 | | matches | (empty) | |
| 97.85% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 24.68 | | std | 12.15 | | cv | 0.492 | | sampleLengths | | 0 | 33 | | 1 | 21 | | 2 | 5 | | 3 | 43 | | 4 | 26 | | 5 | 39 | | 6 | 39 | | 7 | 25 | | 8 | 2 | | 9 | 3 | | 10 | 30 | | 11 | 6 | | 12 | 24 | | 13 | 31 | | 14 | 20 | | 15 | 28 | | 16 | 27 | | 17 | 31 | | 18 | 10 | | 19 | 42 | | 20 | 27 | | 21 | 4 | | 22 | 44 | | 23 | 35 | | 24 | 17 | | 25 | 32 | | 26 | 36 | | 27 | 21 | | 28 | 28 | | 29 | 25 | | 30 | 11 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 90 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 125 | | matches | (empty) | |
| 48.67% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 91 | | ratio | 0.033 | | matches | | 0 | "Yu-Fei's directions had been specific—midnight, no later, no earlier." | | 1 | "The grove's acoustics played tricks—sounds came from everywhere and nowhere at once." | | 2 | "Her fingers closed around something small and hard in the dirt—a loose stone from the circle boundary." |
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| 92.90% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 769 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.04811443433029909 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.018205461638491547 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 91 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 91 | | mean | 8.41 | | std | 4.62 | | cv | 0.55 | | sampleLengths | | 0 | 17 | | 1 | 16 | | 2 | 7 | | 3 | 3 | | 4 | 4 | | 5 | 7 | | 6 | 5 | | 7 | 14 | | 8 | 14 | | 9 | 15 | | 10 | 10 | | 11 | 2 | | 12 | 3 | | 13 | 11 | | 14 | 7 | | 15 | 14 | | 16 | 9 | | 17 | 3 | | 18 | 3 | | 19 | 3 | | 20 | 8 | | 21 | 21 | | 22 | 10 | | 23 | 6 | | 24 | 8 | | 25 | 1 | | 26 | 10 | | 27 | 2 | | 28 | 3 | | 29 | 7 | | 30 | 8 | | 31 | 12 | | 32 | 1 | | 33 | 2 | | 34 | 6 | | 35 | 5 | | 36 | 12 | | 37 | 5 | | 38 | 2 | | 39 | 14 | | 40 | 9 | | 41 | 8 | | 42 | 6 | | 43 | 3 | | 44 | 11 | | 45 | 8 | | 46 | 10 | | 47 | 10 | | 48 | 6 | | 49 | 11 |
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| 62.64% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.42857142857142855 | | totalSentences | 91 | | uniqueOpeners | 39 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 82 | | matches | | 0 | "Just the oppressive silence of" | | 1 | "Just the swaying of flowers" | | 2 | "Too many voices layered together," |
| | ratio | 0.037 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 82 | | matches | | 0 | "She crossed the boundary into" | | 1 | "she called, her voice swallowed" | | 2 | "She pressed onward, deeper into" | | 3 | "She broke into a jog," | | 4 | "She snatched her hand back," | | 5 | "It cast long, dancing shadows" | | 6 | "she demanded, holding the stone" | | 7 | "Their eyes were voids that" | | 8 | "They moved in that wrong" | | 9 | "She fell hard, the stone" | | 10 | "It landed in the flowers," | | 11 | "Her fingers closed around something" | | 12 | "It passed harmlessly through the" | | 13 | "She snatched it up, the" |
| | ratio | 0.171 | |
| 94.15% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 82 | | matches | | 0 | "The ancient oak standing stones" | | 1 | "She crossed the boundary into" | | 2 | "Rory had broken all three." | | 3 | "The wildflowers bloomed unnaturally in" | | 4 | "Petals of impossible blues and" | | 5 | "The air hung thick and" | | 6 | "she called, her voice swallowed" | | 7 | "The Heartstone pulsed again, stronger" | | 8 | "Rory wrapped her fingers around" | | 9 | "Yu-Fei's directions had been specific—midnight," | | 10 | "The stone's behaviour had changed" | | 11 | "Something shifted in the peripheral" | | 12 | "Rory spun around, heart hammering" | | 13 | "The silence answered." | | 14 | "She pressed onward, deeper into" | | 15 | "The ground beneath her trainers" | | 16 | "A twig snapped to her" | | 17 | "Rory froze, straining her ears." | | 18 | "The grove's acoustics played tricks—sounds" | | 19 | "Another snap, closer this time." |
| | ratio | 0.732 | |
| 60.98% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 82 | | matches | | 0 | "Now here, in Isolde's grove," |
| | ratio | 0.012 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 2 | | matches | | 0 | "It cast long, dancing shadows that moved independently of their sources." | | 1 | "The figures dissolved into smoke, their giggling turning to shrieks of rage that echoed through the grove long after they vanished." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 3 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |