| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 79.10% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 957 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | | 2 | | adverb | "deliberately" | | count | 1 |
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| | highlights | | 0 | "very" | | 1 | "slowly" | | 2 | "deliberately" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 957 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | word | "down her spine" | | count | 1 |
| | 14 | | | 15 | | | 16 | |
| | highlights | | 0 | "silence" | | 1 | "weight" | | 2 | "oppressive" | | 3 | "scanned" | | 4 | "perfect" | | 5 | "rhythmic" | | 6 | "pulse" | | 7 | "warmth" | | 8 | "sentinels" | | 9 | "whisper" | | 10 | "silk" | | 11 | "shimmered" | | 12 | "traced" | | 13 | "down her spine" | | 14 | "normalcy" | | 15 | "chilled" | | 16 | "methodical" |
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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 | 117 | | matches | (empty) | |
| 81.81% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 3 | | narrationSentences | 117 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 117 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 5 | | markdownWords | 32 | | totalWords | 953 | | ratio | 0.034 | | matches | | 0 | "Focus, Carter. Find the flower and get out." | | 1 | "Okay. This is new." | | 2 | "snap" | | 3 | "Just a deer. They're all over the park." | | 4 | "You didn't see it. It's the fear. Your mind playing tricks." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 953 | | uniqueNames | 12 | | maxNameDensity | 0.42 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Click" | | discoveredNames | | Richmond | 1 | | Park | 1 | | English | 1 | | Carter | 1 | | Heartstone | 2 | | Pendant | 1 | | Hel | 1 | | Fae-touched | 1 | | Deer | 1 | | Pre-Law | 1 | | Rory | 4 | | Click | 3 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "English" | | 3 | "Hel" | | 4 | "Deer" |
| | globalScore | 1 | | windowScore | 1 | |
| 36.36% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like a physical weight" | | 1 | "petals that seemed to drink the moonlight" | | 2 | "quite focus on, something moved" |
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| 95.07% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.049 | | wordCount | 953 | | matches | | 0 | "not into the moonlight, but just to the very edge of it, a place of twilight" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 117 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 27 | | mean | 35.3 | | std | 27.63 | | cv | 0.783 | | sampleLengths | | 0 | 106 | | 1 | 64 | | 2 | 8 | | 3 | 40 | | 4 | 7 | | 5 | 74 | | 6 | 3 | | 7 | 4 | | 8 | 41 | | 9 | 8 | | 10 | 49 | | 11 | 8 | | 12 | 18 | | 13 | 48 | | 14 | 50 | | 15 | 30 | | 16 | 50 | | 17 | 5 | | 18 | 59 | | 19 | 7 | | 20 | 9 | | 21 | 11 | | 22 | 38 | | 23 | 45 | | 24 | 44 | | 25 | 34 | | 26 | 93 |
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| 99.27% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 117 | | matches | | 0 | "being drawn" | | 1 | "being tapped" |
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| 61.11% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 144 | | matches | | 0 | "was witnessing" | | 1 | "was losing" | | 2 | "was listening" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 117 | | ratio | 0 | | matches | (empty) | |
| 87.51% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 958 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 52 | | adverbRatio | 0.054279749478079335 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.015657620041753653 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 117 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 117 | | mean | 8.15 | | std | 6.28 | | cv | 0.771 | | sampleLengths | | 0 | 8 | | 1 | 1 | | 2 | 1 | | 3 | 22 | | 4 | 25 | | 5 | 10 | | 6 | 3 | | 7 | 1 | | 8 | 3 | | 9 | 7 | | 10 | 25 | | 11 | 6 | | 12 | 16 | | 13 | 1 | | 14 | 14 | | 15 | 8 | | 16 | 3 | | 17 | 16 | | 18 | 2 | | 19 | 6 | | 20 | 23 | | 21 | 17 | | 22 | 7 | | 23 | 2 | | 24 | 16 | | 25 | 8 | | 26 | 15 | | 27 | 8 | | 28 | 8 | | 29 | 6 | | 30 | 9 | | 31 | 2 | | 32 | 3 | | 33 | 1 | | 34 | 3 | | 35 | 11 | | 36 | 1 | | 37 | 17 | | 38 | 12 | | 39 | 8 | | 40 | 4 | | 41 | 11 | | 42 | 2 | | 43 | 10 | | 44 | 7 | | 45 | 15 | | 46 | 3 | | 47 | 5 | | 48 | 7 | | 49 | 11 |
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| 47.01% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.358974358974359 | | totalSentences | 117 | | uniqueOpeners | 42 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 97 | | matches | | 0 | "Supposedly, it could mend things" | | 1 | "*Just a deer." | | 2 | "Just the trees and the" | | 3 | "Then, one of the deepest" |
| | ratio | 0.041 | |
| 71.55% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 97 | | matches | | 0 | "It was just…" | | 1 | "She was here for a" | | 2 | "It flowered only in this" | | 3 | "She needed it." | | 4 | "Her boots made soft sounds" | | 5 | "She scanned the strange, perfect" | | 6 | "Her hand went to the" | | 7 | "It was no longer cool" | | 8 | "It only did that near" | | 9 | "She let her hand drop," | | 10 | "Her head whipped around." | | 11 | "She stared at the dark" | | 12 | "They looked less like an" | | 13 | "They're all over the park.*" | | 14 | "They didn't stand in the" | | 15 | "She took a hesitant step" | | 16 | "She should run." | | 17 | "Her every instinct screamed it." | | 18 | "It was losing the argument." | | 19 | "It was tall and impossibly" |
| | ratio | 0.371 | |
| 83.71% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 97 | | matches | | 0 | "The air in the grove" | | 1 | "The distant hum of traffic," | | 2 | "Rory pulled her jacket tighter," | | 3 | "It was just…" | | 4 | "The wildflowers, impossible blooms of" | | 5 | "She was here for a" | | 6 | "A scrap of information, a" | | 7 | "It flowered only in this" | | 8 | "She needed it." | | 9 | "Her boots made soft sounds" | | 10 | "She scanned the strange, perfect" | | 11 | "A faint heat bloomed against" | | 12 | "Her hand went to the" | | 13 | "It was no longer cool" | | 14 | "A gentle, rhythmic pulse of" | | 15 | "It only did that near" | | 16 | "A gateway to the land" | | 17 | "This was Fae-touched, a place" | | 18 | "The warmth intensified." | | 19 | "This is new.*" |
| | ratio | 0.753 | |
| 51.55% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 97 | | matches | | 0 | "Because now she could see" |
| | ratio | 0.01 | |
| 35.71% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 6 | | matches | | 0 | "The distant hum of traffic, the cry of a distant fox, all of it vanished, swallowed by a silence that felt like a physical weight." | | 1 | "She scanned the strange, perfect blooms, looking for one with petals that seemed to drink the moonlight." | | 2 | "The rational part of her brain, the part that had aced Pre-Law and dissected legal arguments for fun, was frantically trying to build a case for normalcy." | | 3 | "A thick, attentive silence that pressed in on her, waiting." | | 4 | "It had the shape of a person, but its proportions were all wrong, its limbs bending at angles that would shatter bone." | | 5 | "It raised a hand, a long, spindly thing that ended in too many joints, and pointed a single, elongated finger directly at her." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |