| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 0 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.66% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1363 | | 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) | |
| 22.96% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1363 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "silence" | | 1 | "pulse" | | 2 | "aftermath" | | 3 | "stomach" | | 4 | "weight" | | 5 | "scanning" | | 6 | "pulsed" | | 7 | "magnetic" | | 8 | "scanned" | | 9 | "flickered" | | 10 | "perfect" | | 11 | "shimmered" | | 12 | "searing" | | 13 | "warmth" |
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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 | 139 | | matches | (empty) | |
| 81.19% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 4 | | narrationSentences | 139 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 139 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 2 | | totalWords | 1363 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 1356 | | uniqueNames | 12 | | maxNameDensity | 0.66 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 1 | | Park | 1 | | London | 2 | | Aurora | 9 | | Carter | 1 | | Heartstone | 1 | | Pendant | 1 | | January | 1 | | Fear | 1 | | Hel | 1 | | Earth | 1 | | Fae | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Carter" | | 2 | "Pendant" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Hel" |
| | globalScore | 1 | | windowScore | 1 | |
| 71.88% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 96 | | glossingSentenceCount | 3 | | matches | | 0 | "smelled like wet earth and crushed mint, a" | | 1 | "as if whispering secrets to one another" | | 2 | "looked like, and waited for the night to" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.734 | | wordCount | 1363 | | matches | | 0 | "not moving, but simply existing closer than they had been a second ago" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 139 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 56.79 | | std | 32.19 | | cv | 0.567 | | sampleLengths | | 0 | 110 | | 1 | 106 | | 2 | 32 | | 3 | 118 | | 4 | 86 | | 5 | 57 | | 6 | 89 | | 7 | 2 | | 8 | 10 | | 9 | 57 | | 10 | 65 | | 11 | 10 | | 12 | 57 | | 13 | 51 | | 14 | 67 | | 15 | 77 | | 16 | 38 | | 17 | 5 | | 18 | 63 | | 19 | 51 | | 20 | 39 | | 21 | 50 | | 22 | 31 | | 23 | 92 |
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| 95.17% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 139 | | matches | | 0 | "were arranged" | | 1 | "been frozen" | | 2 | "were twisted" | | 3 | "were rooted" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 13 | | totalVerbs | 232 | | matches | | 0 | "was pulling" | | 1 | "was just checking" | | 2 | "was remembering" | | 3 | "was reacting" | | 4 | "were spinning" | | 5 | "was slipping" | | 6 | "was spending" | | 7 | "was throbbing" | | 8 | "was searing" | | 9 | "was glowing" | | 10 | "was spreading" | | 11 | "were waiting" | | 12 | "were closing" |
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| 60.64% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 4 | | flaggedSentences | 4 | | totalSentences | 139 | | ratio | 0.029 | | matches | | 0 | "It wasn't a surface itch; it felt deep, under the dermis, as if the tissue itself was remembering a burn." | | 1 | "It was no longer just a hum; it was a heat, radiating through the fabric of her coat." | | 2 | "She was intelligent; she understood the mechanics of the place." | | 3 | "The wrongness she felt at the start of the night was not a mistake; it was a warning." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 478 | | adjectiveStacks | 1 | | stackExamples | | 0 | "heavy, pressing against her" |
| | adverbCount | 11 | | adverbRatio | 0.02301255230125523 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0041841004184100415 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 139 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 139 | | mean | 9.81 | | std | 6.53 | | cv | 0.666 | | sampleLengths | | 0 | 10 | | 1 | 20 | | 2 | 30 | | 3 | 21 | | 4 | 17 | | 5 | 12 | | 6 | 10 | | 7 | 23 | | 8 | 16 | | 9 | 12 | | 10 | 6 | | 11 | 24 | | 12 | 15 | | 13 | 5 | | 14 | 4 | | 15 | 3 | | 16 | 15 | | 17 | 5 | | 18 | 17 | | 19 | 7 | | 20 | 12 | | 21 | 2 | | 22 | 5 | | 23 | 13 | | 24 | 10 | | 25 | 5 | | 26 | 13 | | 27 | 8 | | 28 | 6 | | 29 | 20 | | 30 | 5 | | 31 | 4 | | 32 | 3 | | 33 | 9 | | 34 | 14 | | 35 | 6 | | 36 | 8 | | 37 | 17 | | 38 | 20 | | 39 | 10 | | 40 | 21 | | 41 | 17 | | 42 | 9 | | 43 | 6 | | 44 | 8 | | 45 | 18 | | 46 | 8 | | 47 | 7 | | 48 | 18 | | 49 | 9 |
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| 34.56% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 21 | | diversityRatio | 0.14705882352941177 | | totalSentences | 136 | | uniqueOpeners | 20 | |
| 26.04% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 128 | | matches | | 0 | "Instead, patches of bluebells and" |
| | ratio | 0.008 | |
| 32.50% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 60 | | totalSentences | 128 | | matches | | 0 | "It smelled like wet earth" | | 1 | "She stood at the edge" | | 2 | "They were jagged teeth against" | | 3 | "She had come here because" | | 4 | "It was pulling her, a" | | 5 | "She told herself she was" | | 6 | "She told herself she was" | | 7 | "She was inside the grove." | | 8 | "She pulled her phone from" | | 9 | "She checked her watch, an" | | 10 | "She frowned, tapping the glass." | | 11 | "They had been 11:42 for" | | 12 | "She looked at the sky" | | 13 | "She took a step forward." | | 14 | "It was January." | | 15 | "They smelled of honey and" | | 16 | "It wasn't a surface itch;" | | 17 | "She stood up quickly, wiping" | | 18 | "She needed to find the" | | 19 | "They were twisted, their bark" |
| | ratio | 0.469 | |
| 6.88% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 116 | | totalSentences | 128 | | matches | | 0 | "The air in Richmond Park" | | 1 | "It smelled like wet earth" | | 2 | "She stood at the edge" | | 3 | "They were jagged teeth against" | | 4 | "Aurora adjusted the collar of" | | 5 | "The Heartstone Pendant rested against" | | 6 | "She had come here because" | | 7 | "A low vibration that traveled" | | 8 | "It was pulling her, a" | | 9 | "She told herself she was" | | 10 | "She told herself she was" | | 11 | "Aurora stepped through the stones." | | 12 | "The transition was instantaneous." | | 13 | "The wind died." | | 14 | "The distant hum of traffic" | | 15 | "She was inside the grove." | | 16 | "The ground beneath her boots" | | 17 | "She pulled her phone from" | | 18 | "The screen lit up, casting" | | 19 | "The time read 11:42 PM." |
| | ratio | 0.906 | |
| 39.06% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 128 | | matches | | 0 | "If she stayed too long," |
| | ratio | 0.008 | |
| 58.11% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 59 | | technicalSentenceCount | 7 | | matches | | 0 | "It smelled like wet earth and crushed mint, a sharp, green scent that coated the back of Aurora Carter’s throat." | | 1 | "She stood at the edge of the tree line, her breath pluming in the frost, and looked at the ancient oak standing stones that marked the boundary of the grove." | | 2 | "They were jagged teeth against the bruised purple of the night sky, leaning inward as if whispering secrets to one another." | | 3 | "The ground beneath her boots was soft, covered in moss that glowed with a faint, bioluminescent pulse." | | 4 | "It pulsed in time with her heartbeat, a syncopated rhythm that made her breath hitch." | | 5 | "It was a distortion, a ripple in the air that made her eyes water." | | 6 | "The warmth from the stone was spreading up her arm, numbing her fingers." |
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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 | |