| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 2 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 492 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 8.54% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 492 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "silence" | | 1 | "loomed" | | 2 | "pulsed" | | 3 | "throb" | | 4 | "perfect" | | 5 | "flicker" | | 6 | "trembled" | | 7 | "whisper" |
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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 | 61 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 61 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 62 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 7 | | totalWords | 481 | | ratio | 0.015 | | matches | | 0 | "Meet me at the grove. It’s urgent." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 75.85% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 472 | | uniqueNames | 8 | | maxNameDensity | 1.48 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Fae | 1 | | Grove | 1 | | October | 1 | | Carter | 1 | | Heartstone | 1 | | Pendant | 1 | | Eva | 2 | | Rory | 7 |
| | persons | | 0 | "Carter" | | 1 | "Pendant" | | 2 | "Eva" | | 3 | "Rory" |
| | places | | | globalScore | 0.758 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 33 | | glossingSentenceCount | 2 | | matches | | 0 | "quite match the trees" | | 1 | "appeared ahead not where she’d left them, but close enough" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 2.079 | | wordCount | 481 | | matches | | 0 | "not where she’d left them, but close enough" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 62 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 16.59 | | std | 13.54 | | cv | 0.816 | | sampleLengths | | 0 | 57 | | 1 | 24 | | 2 | 46 | | 3 | 10 | | 4 | 23 | | 5 | 3 | | 6 | 32 | | 7 | 5 | | 8 | 10 | | 9 | 1 | | 10 | 25 | | 11 | 10 | | 12 | 10 | | 13 | 3 | | 14 | 26 | | 15 | 20 | | 16 | 3 | | 17 | 17 | | 18 | 12 | | 19 | 9 | | 20 | 21 | | 21 | 2 | | 22 | 36 | | 23 | 4 | | 24 | 20 | | 25 | 27 | | 26 | 7 | | 27 | 5 | | 28 | 13 |
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| 93.76% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 61 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 89 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 62 | | ratio | 0.145 | | matches | | 0 | "The air in The Fae Grove smelled thick with damp earth and something sweet—rotting fruit, maybe, or the wildflowers that shouldn’t have been blooming this late in October." | | 1 | "Eva had texted her an hour ago—*Meet me at the grove." | | 2 | "Rory turned, but there was nothing—just the sway of ferns where no wind touched them." | | 3 | "And then—movement." | | 4 | "Not from the ground—from above." | | 5 | "A whisper, then—not words." | | 6 | "And in that light—for just a second—she saw them." | | 7 | "The exit—just there a moment ago—was gone, swallowed by shifting trees." | | 8 | "The standing stones appeared ahead—not where she’d left them, but close enough." |
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| 90.96% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 483 | | adjectiveStacks | 1 | | stackExamples | | 0 | "heavier, pressing against her" |
| | adverbCount | 21 | | adverbRatio | 0.043478260869565216 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.002070393374741201 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 62 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 62 | | mean | 7.76 | | std | 5.3 | | cv | 0.683 | | sampleLengths | | 0 | 28 | | 1 | 14 | | 2 | 15 | | 3 | 11 | | 4 | 11 | | 5 | 2 | | 6 | 11 | | 7 | 14 | | 8 | 13 | | 9 | 8 | | 10 | 5 | | 11 | 5 | | 12 | 8 | | 13 | 15 | | 14 | 3 | | 15 | 2 | | 16 | 11 | | 17 | 9 | | 18 | 10 | | 19 | 5 | | 20 | 2 | | 21 | 8 | | 22 | 1 | | 23 | 8 | | 24 | 2 | | 25 | 2 | | 26 | 13 | | 27 | 4 | | 28 | 6 | | 29 | 5 | | 30 | 5 | | 31 | 3 | | 32 | 3 | | 33 | 3 | | 34 | 2 | | 35 | 18 | | 36 | 5 | | 37 | 15 | | 38 | 3 | | 39 | 4 | | 40 | 2 | | 41 | 11 | | 42 | 12 | | 43 | 9 | | 44 | 1 | | 45 | 7 | | 46 | 13 | | 47 | 2 | | 48 | 3 | | 49 | 11 |
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| 58.06% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3870967741935484 | | totalSentences | 62 | | uniqueOpeners | 24 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 50 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 50 | | matches | | 0 | "She hadn’t expected it to" | | 1 | "It’s urgent.* No explanation, no" | | 2 | "Her voice didn’t carry" | | 3 | "She stepped inside." | | 4 | "Their petals were too bright," | | 5 | "Her breath came faster." | | 6 | "She looked up." | | 7 | "Her heel sank into soft" | | 8 | "Their faces were smooth, blank," | | 9 | "She kicked free without looking," | | 10 | "She didn’t stop." |
| | ratio | 0.22 | |
| 30.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 43 | | totalSentences | 50 | | matches | | 0 | "The air in The Fae" | | 1 | "Aurora Carter tightened her jacket" | | 2 | "She hadn’t expected it to" | | 3 | "Eva had texted her an" | | 4 | "It’s urgent.* No explanation, no" | | 5 | "The standing stones loomed ahead," | | 6 | "Moonlight filtered through the branches," | | 7 | "Rory hesitated at the boundary," | | 8 | "The pendant pulsed again, a" | | 9 | "Her voice didn’t carry" | | 10 | "The grove swallowed it whole." | | 11 | "Something rustled in the undergrowth" | | 12 | "Rory turned, but there was" | | 13 | "She stepped inside." | | 14 | "The air grew heavier, pressing" | | 15 | "The wildflowers rustled, though she" | | 16 | "Their petals were too bright," | | 17 | "A twig snapped behind her." | | 18 | "The shadows between the trees" | | 19 | "A flicker at the edge" |
| | ratio | 0.86 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 50 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 1 | | matches | | 0 | "The air in The Fae Grove smelled thick with damp earth and something sweet—rotting fruit, maybe, or the wildflowers that shouldn’t have been blooming this late …" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |