| 62.07% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 2 | | adverbTags | | 0 | "Nyx's fingers closed around [around]" | | 1 | "she said quietly [quietly]" |
| | dialogueSentences | 29 | | tagDensity | 0.448 | | leniency | 0.897 | | rawRatio | 0.154 | | effectiveRatio | 0.138 | |
| 70.51% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1526 | | totalAiIsmAdverbs | 9 | | found | | | highlights | | 0 | "slowly" | | 1 | "perfectly" | | 2 | "suddenly" | | 3 | "very" | | 4 | "softly" | | 5 | "slightly" |
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| 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) | |
| 60.68% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1526 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "stomach" | | 1 | "perfect" | | 2 | "pulse" | | 3 | "warmth" | | 4 | "whisper" | | 5 | "chill" | | 6 | "quickened" |
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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 | 112 | | matches | (empty) | |
| 91.84% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 112 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 127 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 3 | | totalWords | 1526 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 1389 | | uniqueNames | 15 | | maxNameDensity | 0.72 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | London | 1 | | Nyx | 6 | | Isolde | 6 | | Seer | 1 | | Rory | 10 | | Golden | 1 | | Empress | 1 | | Yu-Fei | 1 | | Heartstone | 1 | | Pendant | 1 | | Dymas | 1 | | Earth | 1 | | Fae-Forged | 1 | | Blade | 1 | | Far | 1 |
| | persons | | 0 | "Nyx" | | 1 | "Isolde" | | 2 | "Seer" | | 3 | "Rory" | | 4 | "Yu-Fei" | | 5 | "Pendant" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 6 | | matches | | 0 | "looked like ground coffee" | | 1 | "felt like being pulled through a keyhol" | | 2 | "looked like a drop of Dymas itself caught" | | 3 | "something like a drum, a slow, rolling rhyth" | | 4 | "looked like pomegranates cut from garnet" | | 5 | "felt like a lifeline, a single clean no" |
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| 68.94% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.311 | | wordCount | 1526 | | matches | | 0 | "Not sunset orange, not the sodium glow of a London night, but a deep, honeyed gold" | | 1 | "not the sodium glow of a London night, but a deep, honeyed gold" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 127 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 28.26 | | std | 30.38 | | cv | 1.075 | | sampleLengths | | 0 | 8 | | 1 | 72 | | 2 | 17 | | 3 | 11 | | 4 | 65 | | 5 | 3 | | 6 | 72 | | 7 | 5 | | 8 | 12 | | 9 | 75 | | 10 | 9 | | 11 | 10 | | 12 | 1 | | 13 | 7 | | 14 | 93 | | 15 | 42 | | 16 | 10 | | 17 | 41 | | 18 | 80 | | 19 | 11 | | 20 | 7 | | 21 | 103 | | 22 | 7 | | 23 | 18 | | 24 | 21 | | 25 | 2 | | 26 | 114 | | 27 | 10 | | 28 | 26 | | 29 | 5 | | 30 | 4 | | 31 | 5 | | 32 | 6 | | 33 | 49 | | 34 | 10 | | 35 | 89 | | 36 | 63 | | 37 | 12 | | 38 | 2 | | 39 | 61 | | 40 | 3 | | 41 | 8 | | 42 | 22 | | 43 | 28 | | 44 | 4 | | 45 | 72 | | 46 | 11 | | 47 | 3 | | 48 | 21 | | 49 | 39 |
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| 86.47% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 112 | | matches | | 0 | "being pulled" | | 1 | "was gone" | | 2 | "was paved" | | 3 | "was littered" | | 4 | "been built" | | 5 | "been taken" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 240 | | matches | | 0 | "was going" | | 1 | "wasn't pulsing" | | 2 | "was *humming" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 127 | | ratio | 0 | | matches | (empty) | |
| 99.85% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1394 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 56 | | adverbRatio | 0.040172166427546625 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.010043041606886656 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 127 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 127 | | mean | 12.02 | | std | 10.04 | | cv | 0.835 | | sampleLengths | | 0 | 8 | | 1 | 18 | | 2 | 19 | | 3 | 11 | | 4 | 24 | | 5 | 3 | | 6 | 13 | | 7 | 1 | | 8 | 2 | | 9 | 9 | | 10 | 4 | | 11 | 33 | | 12 | 8 | | 13 | 20 | | 14 | 3 | | 15 | 25 | | 16 | 20 | | 17 | 27 | | 18 | 5 | | 19 | 9 | | 20 | 3 | | 21 | 4 | | 22 | 4 | | 23 | 33 | | 24 | 20 | | 25 | 2 | | 26 | 2 | | 27 | 10 | | 28 | 3 | | 29 | 6 | | 30 | 10 | | 31 | 1 | | 32 | 7 | | 33 | 31 | | 34 | 8 | | 35 | 24 | | 36 | 6 | | 37 | 24 | | 38 | 3 | | 39 | 9 | | 40 | 30 | | 41 | 10 | | 42 | 16 | | 43 | 20 | | 44 | 5 | | 45 | 8 | | 46 | 8 | | 47 | 17 | | 48 | 18 | | 49 | 5 |
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| 68.50% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.44881889763779526 | | totalSentences | 127 | | uniqueOpeners | 57 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 94 | | matches | | 0 | "Then she forgot, briefly, how" | | 1 | "Of course she hadn't." | | 2 | "Somewhere far off, she could" |
| | ratio | 0.032 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 94 | | matches | | 0 | "Their voice came from everywhere" | | 1 | "They stood beside her in" | | 2 | "Their violet eyes burned brighter" | | 3 | "They stood at the edge" | | 4 | "She stepped closer." | | 5 | "Her hand was already halfway" | | 6 | "Their thumb rested over the" | | 7 | "Her pulse was going faster" | | 8 | "She'd carried Yu-Fei's crispy duck" | | 9 | "Her voice came out steadier" | | 10 | "She'd grown used to its" | | 11 | "It was *humming*, a steady," | | 12 | "She drew it out from" | | 13 | "she said quietly" | | 14 | "It never stopped." | | 15 | "It never even stuttered." | | 16 | "She thought about that." | | 17 | "She thought about contracts signed" | | 18 | "She thought about the rhythm" | | 19 | "It was beautiful." |
| | ratio | 0.266 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 94 | | matches | | 0 | "The rift spat them out" | | 1 | "Rory landed on her knees," | | 2 | "The crossing had felt like" | | 3 | "Their voice came from everywhere" | | 4 | "The sky was amber." | | 5 | "The light simply *was*, soaking" | | 6 | "Nothing except Nyx." | | 7 | "They stood beside her in" | | 8 | "Their violet eyes burned brighter" | | 9 | "Rory noticed that the edges" | | 10 | "Isolde had not fallen." | | 11 | "The Seer stood a few" | | 12 | "Rory let it go and" | | 13 | "They stood at the edge" | | 14 | "The trunks were thick as" | | 15 | "Some were a deep, bruised" | | 16 | "Others were translucent, glowing faintly" | | 17 | "She stepped closer." | | 18 | "The nearest cluster was the" | | 19 | "Her hand was already halfway" |
| | ratio | 0.702 | |
| 53.19% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 94 | | matches | | | ratio | 0.011 | |
| 57.14% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 6 | | matches | | 0 | "Not sunset orange, not the sodium glow of a London night, but a deep, honeyed gold that hung over everything like the inside of a glass of whisky held up to a l…" | | 1 | "Their violet eyes burned brighter here, sharper, as if the amber glow had turned up the contrast on everything unnatural." | | 2 | "The path between the vines was paved in flat stones worn smooth by centuries of feet, and in the cracks grew tiny white flowers that turned their faces to follo…" | | 3 | "The air was thick and heavy, like the inside of a kitchen during a dinner rush, and it carried layers of scent that shifted every few steps: bread, then roastin…" | | 4 | "She thought about contracts signed on Earth, about people who'd traded something for talent or fame or one more year, and where they might end up when the bill …" | | 5 | "One tree bore nothing but small golden spheres that chimed softly against each other whenever the air moved, a sound like distant wind chimes, and beneath it th…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 81.03% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 2 | | fancyTags | | 0 | "Nyx whispered (whisper)" | | 1 | "she murmured (murmur)" |
| | dialogueSentences | 29 | | tagDensity | 0.379 | | leniency | 0.759 | | rawRatio | 0.182 | | effectiveRatio | 0.138 | |