| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 11 | | tagDensity | 0.455 | | leniency | 0.909 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.67% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 938 | | totalAiIsmAdverbs | 1 | | 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) | |
| 46.70% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 938 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "loomed" | | 1 | "whisper" | | 2 | "scanning" | | 3 | "flicker" | | 4 | "warmth" | | 5 | "pulse" | | 6 | "throb" | | 7 | "glinting" | | 8 | "glint" |
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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 | 122 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 122 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 128 | | 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 | 15 | | markdownWords | 30 | | totalWords | 929 | | ratio | 0.032 | | matches | | 0 | "Don’t panic" | | 1 | "toward" | | 2 | "glided" | | 3 | "\"Aurora.\"" | | 4 | "throb" | | 5 | "everywhere" | | 6 | "thing" | | 7 | "breathed" | | 8 | "\"Stupid girl,\"" | | 9 | "it didn’t have a mouth" | | 10 | "\"The heart does not give. The heart takes.\"" | | 11 | "cut it" | | 12 | "negotiate" | | 13 | "the Fae" | | 14 | "screamed" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 877 | | uniqueNames | 7 | | maxNameDensity | 0.91 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Fae | 4 | | Grove | 1 | | Carter | 1 | | Heartstone | 1 | | Silas | 3 | | Eva | 2 | | Rory | 8 |
| | persons | | 0 | "Grove" | | 1 | "Carter" | | 2 | "Silas" | | 3 | "Eva" | | 4 | "Rory" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 70 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 92.36% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.076 | | wordCount | 929 | | matches | | 0 | "not a pulse now but a *throb*" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 128 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 23.23 | | std | 18.06 | | cv | 0.778 | | sampleLengths | | 0 | 86 | | 1 | 46 | | 2 | 2 | | 3 | 35 | | 4 | 8 | | 5 | 50 | | 6 | 41 | | 7 | 44 | | 8 | 2 | | 9 | 3 | | 10 | 30 | | 11 | 38 | | 12 | 16 | | 13 | 33 | | 14 | 29 | | 15 | 17 | | 16 | 2 | | 17 | 28 | | 18 | 3 | | 19 | 41 | | 20 | 28 | | 21 | 27 | | 22 | 32 | | 23 | 21 | | 24 | 5 | | 25 | 37 | | 26 | 29 | | 27 | 14 | | 28 | 55 | | 29 | 4 | | 30 | 11 | | 31 | 5 | | 32 | 27 | | 33 | 13 | | 34 | 20 | | 35 | 5 | | 36 | 14 | | 37 | 12 | | 38 | 10 | | 39 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 122 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 162 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 17 | | semicolonCount | 0 | | flaggedSentences | 13 | | totalSentences | 128 | | ratio | 0.102 | | matches | | 0 | "The air in the Fae Grove smelled of wet earth and something sharper—like burnt sugar." | | 1 | "Whatever she’d come for—a portal, an answer, a ghost—it was close." | | 2 | "A flicker in her periphery—movement just past the trees." | | 3 | "This time, she saw it—a ripple in the shadows beyond the standing stones." | | 4 | "But the flowers—those year-round wildflowers—had changed." | | 5 | "If the stone had tricked her, if this was another of the Fae’s games—" | | 6 | "Her boots struck something hard—roots?" | | 7 | "A stone?—and she stumbled, crashing to her knees." | | 8 | "She lunged for it, but a hand—" | | 9 | "Its mouth didn’t move—*it didn’t have a mouth*—but the words pressed into her skull." | | 10 | "She’d forgotten it was there, Eva’s gift—a cheap iron thing." | | 11 | "But the grove’s wrongness had a focus now—a shape." | | 12 | "The thing in the shadows—*the Fae*—watched them both." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 892 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.0257847533632287 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0033632286995515697 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 128 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 128 | | mean | 7.26 | | std | 4.06 | | cv | 0.56 | | sampleLengths | | 0 | 15 | | 1 | 13 | | 2 | 20 | | 3 | 15 | | 4 | 12 | | 5 | 11 | | 6 | 11 | | 7 | 16 | | 8 | 8 | | 9 | 11 | | 10 | 2 | | 11 | 2 | | 12 | 13 | | 13 | 7 | | 14 | 1 | | 15 | 12 | | 16 | 8 | | 17 | 8 | | 18 | 9 | | 19 | 9 | | 20 | 9 | | 21 | 3 | | 22 | 12 | | 23 | 5 | | 24 | 7 | | 25 | 3 | | 26 | 2 | | 27 | 10 | | 28 | 4 | | 29 | 3 | | 30 | 5 | | 31 | 2 | | 32 | 8 | | 33 | 8 | | 34 | 13 | | 35 | 11 | | 36 | 4 | | 37 | 2 | | 38 | 3 | | 39 | 13 | | 40 | 8 | | 41 | 3 | | 42 | 4 | | 43 | 2 | | 44 | 5 | | 45 | 13 | | 46 | 8 | | 47 | 11 | | 48 | 1 | | 49 | 6 |
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| 43.75% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.2578125 | | totalSentences | 128 | | uniqueOpeners | 33 | |
| 62.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 106 | | matches | | 0 | "Just the blackened trunks of" | | 1 | "Just sinew and bone, veined" |
| | ratio | 0.019 | |
| 76.60% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 106 | | matches | | 0 | "She clutched the silver chain" | | 1 | "It had led her here," | | 2 | "She’d left Silas’s bar an" | | 3 | "She turned, her eyes scanning" | | 4 | "Her voice bounced back at" | | 5 | "She followed the pull, stepping" | | 6 | "Her shadow stretched across the" | | 7 | "She glanced up." | | 8 | "She exhaled, sharp." | | 9 | "You didn’t argue with them." | | 10 | "Her fingers found a seam" | | 11 | "Her breath hitched." | | 12 | "Her watch face reflected the" | | 13 | "Their petals darkened to a" | | 14 | "she muttered, though her voice" | | 15 | "Her fingers fumbled at the" | | 16 | "It came from *everywhere*." | | 17 | "Her boots struck something hard—roots?" | | 18 | "She lunged for it, but" | | 19 | "It wore no flesh." |
| | ratio | 0.358 | |
| 2.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 97 | | totalSentences | 106 | | matches | | 0 | "The air in the Fae" | | 1 | "Aurora Carter stepped over a" | | 2 | "The standing stones loomed around" | | 3 | "She clutched the silver chain" | | 4 | "It had led her here," | | 5 | "Whatever she’d come for—a portal," | | 6 | "She’d left Silas’s bar an" | | 7 | "The streets outside the grove" | | 8 | "The wildflowers around her swayed," | | 9 | "The sound came from the" | | 10 | "She turned, her eyes scanning" | | 11 | "Her voice bounced back at" | | 12 | "The pendant flared, heat seeping" | | 13 | "She followed the pull, stepping" | | 14 | "Her shadow stretched across the" | | 15 | "A flicker in her periphery—movement" | | 16 | "She glanced up." | | 17 | "The moon hung too high" | | 18 | "Another sound, this time closer." | | 19 | "A sigh, or the creak" |
| | ratio | 0.915 | |
| 47.17% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 106 | | matches | | 0 | "If the stone had tricked" |
| | ratio | 0.009 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 3 | | matches | | 0 | "Her voice bounced back, hollow" | | 1 | "she muttered, though her voice shook" | | 2 | "he said, low" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "the thing hissed (hiss)" |
| | dialogueSentences | 11 | | tagDensity | 0.273 | | leniency | 0.545 | | rawRatio | 0.667 | | effectiveRatio | 0.364 | |