| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 83.31% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 599 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 599 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "pulse" | | 1 | "loomed" | | 2 | "fractured" | | 3 | "silence" | | 4 | "whisper" | | 5 | "flicker" | | 6 | "throbbed" | | 7 | "echo" | | 8 | "flickered" | | 9 | "rhythmic" | | 10 | "trembled" | | 11 | "silk" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 75 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 75 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | 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 | 0 | | markdownWords | 0 | | totalWords | 592 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 71.60% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 574 | | uniqueNames | 7 | | maxNameDensity | 1.57 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Fae | 1 | | Grove | 3 | | Heartstone | 1 | | Rory | 9 | | October | 1 | | Cardiff | 1 | | Evan | 2 |
| | persons | | | places | | 0 | "Fae" | | 1 | "Grove" | | 2 | "October" | | 3 | "Cardiff" |
| | globalScore | 0.716 | | windowScore | 1 | |
| 21.79% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 39 | | glossingSentenceCount | 2 | | matches | | 0 | "quite sound like wind" | | 1 | "as if watching something just over her shoulder" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 592 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 78 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 15.58 | | std | 17.88 | | cv | 1.148 | | sampleLengths | | 0 | 78 | | 1 | 14 | | 2 | 66 | | 3 | 5 | | 4 | 17 | | 5 | 1 | | 6 | 20 | | 7 | 3 | | 8 | 35 | | 9 | 2 | | 10 | 15 | | 11 | 25 | | 12 | 8 | | 13 | 1 | | 14 | 13 | | 15 | 4 | | 16 | 38 | | 17 | 8 | | 18 | 4 | | 19 | 50 | | 20 | 4 | | 21 | 1 | | 22 | 22 | | 23 | 4 | | 24 | 2 | | 25 | 39 | | 26 | 9 | | 27 | 6 | | 28 | 27 | | 29 | 3 | | 30 | 5 | | 31 | 16 | | 32 | 12 | | 33 | 15 | | 34 | 5 | | 35 | 4 | | 36 | 3 | | 37 | 8 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 75 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 100 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 78 | | ratio | 0.077 | | matches | | 0 | "The scent of them—cloying, almost rotting—made her throat tighten." | | 1 | "A shape flickered at the edge of her vision—too tall, too thin." | | 2 | "Rory clenched her jaw and took a step back—only for her heel to catch on something soft." | | 3 | "Something laughed—a sound like breaking glass." | | 4 | "Then, from the shadows between the trees, a voice—smooth as silk, wrong as the Grove itself." | | 5 | "But its eyes—" |
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| 97.35% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 581 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.043029259896729774 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.010327022375215147 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 7.59 | | std | 5.57 | | cv | 0.734 | | sampleLengths | | 0 | 18 | | 1 | 21 | | 2 | 21 | | 3 | 5 | | 4 | 4 | | 5 | 9 | | 6 | 14 | | 7 | 21 | | 8 | 9 | | 9 | 19 | | 10 | 2 | | 11 | 2 | | 12 | 13 | | 13 | 5 | | 14 | 2 | | 15 | 12 | | 16 | 3 | | 17 | 1 | | 18 | 13 | | 19 | 7 | | 20 | 2 | | 21 | 1 | | 22 | 6 | | 23 | 14 | | 24 | 3 | | 25 | 12 | | 26 | 2 | | 27 | 4 | | 28 | 11 | | 29 | 12 | | 30 | 5 | | 31 | 8 | | 32 | 2 | | 33 | 6 | | 34 | 1 | | 35 | 8 | | 36 | 5 | | 37 | 4 | | 38 | 11 | | 39 | 2 | | 40 | 17 | | 41 | 8 | | 42 | 8 | | 43 | 4 | | 44 | 11 | | 45 | 8 | | 46 | 17 | | 47 | 14 | | 48 | 4 | | 49 | 1 |
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| 77.78% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.47435897435897434 | | totalSentences | 78 | | uniqueOpeners | 37 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 58 | | matches | | 0 | "Just the whisper of wind" | | 1 | "Then, behind her, a snap." | | 2 | "Slowly, she turned." | | 3 | "Just shadows and the flicker" | | 4 | "Then, from somewhere above, a" | | 5 | "Then, from the shadows between" |
| | ratio | 0.103 | |
| 88.97% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 58 | | matches | | 0 | "She shouldn’t have come alone." | | 1 | "She stepped carefully over a" | | 2 | "Her breath fogged in the" | | 3 | "She exhaled, forcing her shoulders" | | 4 | "Her pulse hammered against her" | | 5 | "She didn’t run." | | 6 | "Her voice didn’t echo." | | 7 | "It sank into the trees" | | 8 | "She didn’t look up." | | 9 | "She stumbled, barely catching herself" | | 10 | "It was a hand." | | 11 | "She knew that face." | | 12 | "Her breath came in ragged" | | 13 | "He couldn’t be here." | | 14 | "She’d left him in Cardiff," | | 15 | "She skidded to a halt," | | 16 | "She recoiled, her fingers coming" | | 17 | "It wore Evan’s face." | | 18 | "Its eyes were black from" |
| | ratio | 0.328 | |
| 89.31% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 43 | | totalSentences | 58 | | matches | | 0 | "The air in the Fae" | | 1 | "Rory tightened her grip on" | | 2 | "The standing oaks loomed around" | | 3 | "She shouldn’t have come alone." | | 4 | "Eva had warned her." | | 5 | "Silas had practically begged her" | | 6 | "Moonlight filtered through the canopy" | | 7 | "The scent of them—cloying, almost" | | 8 | "She stepped carefully over a" | | 9 | "Her breath fogged in the" | | 10 | "She exhaled, forcing her shoulders" | | 11 | "Her pulse hammered against her" | | 12 | "The pendant throbbed in response," | | 13 | "She didn’t run." | | 14 | "Her voice didn’t echo." | | 15 | "It sank into the trees" | | 16 | "A shape flickered at the" | | 17 | "The flowers rustled where nothing" | | 18 | "She didn’t look up." | | 19 | "The pendant seared against her" |
| | ratio | 0.741 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 58 | | matches | (empty) | | ratio | 0 | |
| 57.14% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 3 | | matches | | 0 | "Moonlight filtered through the canopy in fractured beams, casting shifting patterns on the wildflowers that shouldn’t have been blooming in October." | | 1 | "Empty eye sockets stared past her, as if watching something just over her shoulder." | | 2 | "The pendant flared crimson, its light painting the grinning thing that stepped into the clearing." |
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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 | |