| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 67.20% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1067 | | totalAiIsmAdverbs | 7 | | found | | 0 | | | 1 | | | 2 | | adverb | "deliberately" | | count | 1 |
| | 3 | | | 4 | |
| | highlights | | 0 | "slightly" | | 1 | "gently" | | 2 | "deliberately" | | 3 | "very" | | 4 | "slowly" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1067 | | totalAiIsms | 24 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | |
| | highlights | | 0 | "pulsed" | | 1 | "familiar" | | 2 | "gloom" | | 3 | "perfect" | | 4 | "tracing" | | 5 | "dancing" | | 6 | "silence" | | 7 | "silk" | | 8 | "fleeting" | | 9 | "scanning" | | 10 | "sense of" | | 11 | "throb" | | 12 | "pulse" | | 13 | "stomach" | | 14 | "churn" | | 15 | "rhythmic" | | 16 | "intricate" | | 17 | "etched" | | 18 | "echoed" | | 19 | "whisper" | | 20 | "weight" | | 21 | "chilling" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 113 | | matches | (empty) | |
| 54.36% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 6 | | narrationSentences | 113 | | filterMatches | | | hedgeMatches | | 0 | "started to" | | 1 | "seemed to" | | 2 | "tried to" | | 3 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 117 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 11 | | totalWords | 1069 | | ratio | 0.01 | | matches | | 0 | "off" | | 1 | "felt" | | 2 | "were" | | 3 | "“Welcome, Aurora Carter. We have been expecting you.”" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 1041 | | uniqueNames | 13 | | maxNameDensity | 0.86 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Silas" | | discoveredNames | | Portobello | 1 | | Road | 1 | | Heartstone | 1 | | Pendant | 1 | | Isolde | 1 | | Grove | 1 | | Silas | 4 | | London | 1 | | Fae | 1 | | Silence | 1 | | Rory | 9 | | Richmond | 1 | | Park | 1 |
| | persons | | 0 | "Pendant" | | 1 | "Isolde" | | 2 | "Silas" | | 3 | "Rory" |
| | places | | 0 | "Portobello" | | 1 | "Road" | | 2 | "Grove" | | 3 | "London" | | 4 | "Richmond" | | 5 | "Park" |
| | globalScore | 1 | | windowScore | 1 | |
| 85.06% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 77 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a premonition" | | 1 | "designs that seemed to shift and change as she looked at them" |
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| 12.91% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.871 | | wordCount | 1069 | | matches | | 0 | "Not menacing, exactly, but undeniably *off*" | | 1 | "Not a strong pulse, but enough" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 117 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 29.69 | | std | 19.13 | | cv | 0.644 | | sampleLengths | | 0 | 45 | | 1 | 80 | | 2 | 51 | | 3 | 81 | | 4 | 34 | | 5 | 55 | | 6 | 4 | | 7 | 38 | | 8 | 50 | | 9 | 22 | | 10 | 14 | | 11 | 1 | | 12 | 16 | | 13 | 36 | | 14 | 30 | | 15 | 48 | | 16 | 7 | | 17 | 44 | | 18 | 32 | | 19 | 37 | | 20 | 32 | | 21 | 33 | | 22 | 30 | | 23 | 18 | | 24 | 1 | | 25 | 41 | | 26 | 26 | | 27 | 6 | | 28 | 25 | | 29 | 19 | | 30 | 22 | | 31 | 16 | | 32 | 8 | | 33 | 11 | | 34 | 37 | | 35 | 19 |
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| 99.05% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 113 | | matches | | 0 | "was supposed" | | 1 | "was gone" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 179 | | matches | | 0 | "was being" | | 1 | "was haunting" | | 2 | "was coming" | | 3 | "was forming" | | 4 | "weren't reflecting" | | 5 | "were emanating" |
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| 69.60% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 117 | | ratio | 0.026 | | matches | | 0 | "Rory checked her watch—11:17 PM." | | 1 | "She found the standing stones easily enough – three ancient oaks, their branches gnarled and reaching like arthritic fingers, encircling a clearing bathed in an unnatural moonlight." | | 2 | "As if someone – or something – deliberately maintained it." |
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| 83.57% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1039 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 58 | | adverbRatio | 0.05582290664100096 | | lyAdverbCount | 24 | | lyAdverbRatio | 0.023099133782483156 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 117 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 117 | | mean | 9.14 | | std | 6.96 | | cv | 0.761 | | sampleLengths | | 0 | 14 | | 1 | 5 | | 2 | 9 | | 3 | 6 | | 4 | 11 | | 5 | 4 | | 6 | 5 | | 7 | 26 | | 8 | 41 | | 9 | 2 | | 10 | 2 | | 11 | 11 | | 12 | 18 | | 13 | 22 | | 14 | 27 | | 15 | 2 | | 16 | 6 | | 17 | 7 | | 18 | 24 | | 19 | 10 | | 20 | 3 | | 21 | 2 | | 22 | 17 | | 23 | 5 | | 24 | 1 | | 25 | 7 | | 26 | 2 | | 27 | 2 | | 28 | 9 | | 29 | 20 | | 30 | 2 | | 31 | 21 | | 32 | 1 | | 33 | 2 | | 34 | 4 | | 35 | 30 | | 36 | 8 | | 37 | 9 | | 38 | 1 | | 39 | 19 | | 40 | 8 | | 41 | 13 | | 42 | 6 | | 43 | 7 | | 44 | 1 | | 45 | 8 | | 46 | 14 | | 47 | 1 | | 48 | 4 | | 49 | 5 |
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| 53.56% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.36752136752136755 | | totalSentences | 117 | | uniqueOpeners | 43 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 94 | | matches | | 0 | "Usually, even in winter, there" | | 1 | "Just the trees, swaying gently" | | 2 | "Then she heard it." | | 3 | "Just the bark, rough and" |
| | ratio | 0.043 | |
| 75.32% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 94 | | matches | | 0 | "She’d brushed it off." | | 1 | "She’d been tracking these fluctuations" | | 2 | "She found the standing stones" | | 3 | "Her boots crunched on the" | | 4 | "She’d hoped for a reaction," | | 5 | "She swept the light along" | | 6 | "She told herself it was" | | 7 | "He’d always been a teller" | | 8 | "She walked to the center" | | 9 | "It yielded slightly under her" | | 10 | "She snatched her hand back," | | 11 | "She whipped around, flashlight beam" | | 12 | "she called out, her voice" | | 13 | "She was being ridiculous." | | 14 | "It was probably a deer." | | 15 | "She lowered the flashlight, trying" | | 16 | "It was neatly cleared, almost…too" | | 17 | "It came from the woods" | | 18 | "She blinked, and it was" | | 19 | "she whispered to herself" |
| | ratio | 0.362 | |
| 82.34% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 94 | | matches | | 0 | "The park gates clanged shut" | | 1 | "Rory checked her watch—11:17 PM." | | 2 | "Eva had warned her, of" | | 3 | "She’d brushed it off." | | 4 | "The pendant, cool against her" | | 5 | "She’d been tracking these fluctuations" | | 6 | "The map Silas had sketched" | | 7 | "The air grew colder as" | | 8 | "She found the standing stones" | | 9 | "A misplaced note in a" | | 10 | "The wildflowers Silas mentioned blooming" | | 11 | "This was just…stillness." | | 12 | "Her boots crunched on the" | | 13 | "The pendant remained stubbornly inert." | | 14 | "She’d hoped for a reaction," | | 15 | "Rory pulled out her phone," | | 16 | "The beam cut through the" | | 17 | "She swept the light along" | | 18 | "She told herself it was" | | 19 | "He’d always been a teller" |
| | ratio | 0.755 | |
| 53.19% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 94 | | matches | | | ratio | 0.011 | |
| 67.67% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 4 | | matches | | 0 | "She told herself it was the isolation, the late hour, the stories Silas had been telling behind the bar about the Fae and the creatures that slipped through the…" | | 1 | "The air grew heavy, thick with a cloying sweetness that made her stomach churn." | | 2 | "It seemed to come from everywhere and nowhere at once, weaving its way into her thoughts, tugging at something deep inside her." | | 3 | "A face that was both beautiful and terrifying, with skin like polished ivory and eyes that held the weight of centuries." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 1 | | matches | | 0 | "she called out, her voice sounding thin and reedy in the vast darkness" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "she called out (call out)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 7 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 1 | | effectiveRatio | 0.571 | |