| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.35% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1186 | | totalAiIsmAdverbs | 3 | | found | | 0 | | | 1 | | | 2 | | adverb | "deliberately" | | count | 1 |
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| | highlights | | 0 | "softly" | | 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) | |
| 24.11% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1186 | | totalAiIsms | 18 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | word | "down her spine" | | count | 1 |
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| | highlights | | 0 | "pulse" | | 1 | "velvet" | | 2 | "chill" | | 3 | "pulsed" | | 4 | "etched" | | 5 | "whisper" | | 6 | "scanned" | | 7 | "flickered" | | 8 | "trembled" | | 9 | "flicker" | | 10 | "wavering" | | 11 | "searing" | | 12 | "down her spine" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 126 | | matches | (empty) | |
| 74.83% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 6 | | narrationSentences | 126 | | filterMatches | (empty) | | hedgeMatches | | |
| 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 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 6 | | totalWords | 1182 | | ratio | 0.005 | | matches | | 0 | "You are not alone." | | 1 | "Pretty thing." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 1155 | | uniqueNames | 8 | | maxNameDensity | 0.61 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Grove" | | discoveredNames | | Rory | 7 | | Richmond | 2 | | Park | 2 | | London | 2 | | Grove | 4 | | Heartstone | 1 | | Eva | 3 | | Fae | 1 |
| | persons | | 0 | "Rory" | | 1 | "Heartstone" | | 2 | "Eva" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Grove" |
| | globalScore | 1 | | windowScore | 1 | |
| 47.26% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 73 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like a mouth" | | 1 | "spirals that seemed to shift if she stared too long" | | 2 | "chuckle that seemed to slither down the bark of the nearest tree" |
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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 | 1182 | | matches | (empty) | |
| 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 | 33 | | mean | 35.82 | | std | 21.31 | | cv | 0.595 | | sampleLengths | | 0 | 75 | | 1 | 68 | | 2 | 36 | | 3 | 9 | | 4 | 65 | | 5 | 51 | | 6 | 4 | | 7 | 59 | | 8 | 14 | | 9 | 31 | | 10 | 69 | | 11 | 13 | | 12 | 53 | | 13 | 4 | | 14 | 19 | | 15 | 44 | | 16 | 25 | | 17 | 11 | | 18 | 50 | | 19 | 41 | | 20 | 33 | | 21 | 31 | | 22 | 20 | | 23 | 2 | | 24 | 55 | | 25 | 42 | | 26 | 44 | | 27 | 9 | | 28 | 29 | | 29 | 47 | | 30 | 54 | | 31 | 13 | | 32 | 62 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 126 | | matches | (empty) | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 179 | | matches | | 0 | "was collecting" | | 1 | "was dropping" | | 2 | "was fraying" | | 3 | "was searing" | | 4 | "was vibrating" | | 5 | "wasn’t just pulsing" |
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| 75.89% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 128 | | ratio | 0.023 | | matches | | 0 | "The wildflowers underfoot—an impossible riot of bluebells and foxglove—crunched softly, their scent cloyingly sweet, like perfume on old velvet." | | 1 | "Not with insect noise—that was absent—but with a deep, subsonic vibration she felt in her teeth." | | 2 | "It wasn’t just pulsing; it was vibrating, a frantic, silent scream." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 226 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 9 | | adverbRatio | 0.03982300884955752 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.01327433628318584 | |
| 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 | 9.23 | | std | 7.08 | | cv | 0.767 | | sampleLengths | | 0 | 24 | | 1 | 14 | | 2 | 25 | | 3 | 12 | | 4 | 3 | | 5 | 18 | | 6 | 19 | | 7 | 17 | | 8 | 11 | | 9 | 6 | | 10 | 5 | | 11 | 2 | | 12 | 2 | | 13 | 5 | | 14 | 7 | | 15 | 9 | | 16 | 9 | | 17 | 4 | | 18 | 9 | | 19 | 2 | | 20 | 11 | | 21 | 3 | | 22 | 24 | | 23 | 6 | | 24 | 6 | | 25 | 31 | | 26 | 4 | | 27 | 16 | | 28 | 4 | | 29 | 3 | | 30 | 14 | | 31 | 9 | | 32 | 4 | | 33 | 11 | | 34 | 11 | | 35 | 7 | | 36 | 7 | | 37 | 4 | | 38 | 3 | | 39 | 12 | | 40 | 8 | | 41 | 11 | | 42 | 12 | | 43 | 13 | | 44 | 3 | | 45 | 13 | | 46 | 10 | | 47 | 10 | | 48 | 8 | | 49 | 8 |
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| 46.35% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.34375 | | totalSentences | 128 | | uniqueOpeners | 44 | |
| 89.29% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 112 | | matches | | 0 | "Then came the whisper." | | 1 | "Then, from the direction of" | | 2 | "Just the dark, watching trees." |
| | ratio | 0.027 | |
| 87.86% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 112 | | matches | | 0 | "It had led her here," | | 1 | "It was thicker." | | 2 | "she murmured, the sound swallowed" | | 3 | "She pulled out her phone." | | 4 | "She’d left the park entrance" | | 5 | "She spun, heart kicking." | | 6 | "It had never behaved like" | | 7 | "She took a step towards" | | 8 | "It wasn’t words." | | 9 | "It was the ghost of" | | 10 | "She scanned the darkness." | | 11 | "Her voice came out too" | | 12 | "She swallowed, tried again." | | 13 | "It seemed to come from" | | 14 | "She forced herself to move," | | 15 | "Her mission, if she could" | | 16 | "She didn’t turn this time." | | 17 | "She kept her eyes locked" | | 18 | "*You are not alone.*" | | 19 | "It sat in her mind," |
| | ratio | 0.33 | |
| 58.21% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 90 | | totalSentences | 112 | | matches | | 0 | "The last of the summer" | | 1 | "The pendant hanging under her" | | 2 | "It had led her here," | | 3 | "It was thicker." | | 4 | "The evening breeze that had" | | 5 | "The wildflowers underfoot—an impossible riot" | | 6 | "Aurora paused, her breath misting" | | 7 | "The Grove was a clearing," | | 8 | "she murmured, the sound swallowed" | | 9 | "She pulled out her phone." | | 10 | "The time read 9:14 PM." | | 11 | "She’d left the park entrance" | | 12 | "The walk shouldn’t have taken" | | 13 | "A branch snapped in the" | | 14 | "She spun, heart kicking." | | 15 | "Nothing moved among the black" | | 16 | "The pendant pulsed harder, a" | | 17 | "This was wrong." | | 18 | "Eva’s tip about the" | | 19 | "It had never behaved like" |
| | ratio | 0.804 | |
| 44.64% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 112 | | matches | | 0 | "Now, past the ancient oaks" |
| | ratio | 0.009 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 5 | | matches | | 0 | "Not with insect noise—that was absent—but with a deep, subsonic vibration she felt in her teeth." | | 1 | "The spiral carvings seemed to gleam with a faint, internal luminescence, a sickly greenish phosphorescence that had nothing to do with the moon, which was still…" | | 2 | "But the laugh hung in the air, twisting, warping, slowing down into a low, gurgling chuckle that seemed to slither down the bark of the nearest tree." | | 3 | "The green glow intensified, casting long, wavering shadows that moved independently of any light source." | | 4 | "She slipped through the thicket, thorns tearing at her jacket, and didn’t stop until she was back on the manicured grass of Richmond Park, under a streetlight t…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 4 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 1 | | effectiveRatio | 0.5 | |