| 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 | |
| 91.69% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 602 | | totalAiIsmAdverbs | 1 | | 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) | |
| 33.55% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 602 | | totalAiIsms | 8 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | word | "the last thing" | | count | 1 |
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| | highlights | | 0 | "pulsed" | | 1 | "warmth" | | 2 | "pulse" | | 3 | "searing" | | 4 | "glinting" | | 5 | "the last thing" |
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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 | 57 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 57 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 59 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 5 | | totalWords | 596 | | ratio | 0.008 | | matches | | 0 | "Paranoia. Exhaustion. The bike ride." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 98.28% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 580 | | uniqueNames | 8 | | maxNameDensity | 1.03 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Carter | 1 | | Heartstone | 1 | | Grove | 2 | | Eva | 1 | | Evan | 1 | | Aurora | 6 |
| | persons | | 0 | "Carter" | | 1 | "Eva" | | 2 | "Evan" | | 3 | "Aurora" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Grove" |
| | globalScore | 0.983 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 35 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 32.21% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.678 | | wordCount | 596 | | matches | | 0 | "not with insects but with something deeper, a vibration in the bones" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 59 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 27.09 | | std | 20.71 | | cv | 0.764 | | sampleLengths | | 0 | 62 | | 1 | 69 | | 2 | 9 | | 3 | 56 | | 4 | 57 | | 5 | 3 | | 6 | 42 | | 7 | 10 | | 8 | 43 | | 9 | 5 | | 10 | 47 | | 11 | 17 | | 12 | 9 | | 13 | 17 | | 14 | 23 | | 15 | 40 | | 16 | 19 | | 17 | 6 | | 18 | 16 | | 19 | 12 | | 20 | 3 | | 21 | 31 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 57 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 92 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 59 | | ratio | 0.102 | | matches | | 0 | "The air in Richmond Park smelled wrong—like damp earth and something older, something that had festered beneath the roots of the trees for centuries." | | 1 | "She’d come here because the address on the delivery slip had led her to a dead end—no restaurant, no apartment, just a narrow path winding into the thick of the park." | | 2 | "The Grove was a place from stories—whispers in the back of her mind, things Eva had mentioned once, drunk and laughing, about the way time bends in places like this." | | 3 | "Its limbs were wrong—too long, too jointed, like a child’s drawing of a man." | | 4 | "She’d read about these places—about the things that lived in the cracks between worlds." | | 5 | "The last thing she saw before the dark swallowed her was the way its teeth parted—too many, too sharp—and the way the pendant’s glow turned crimson, like blood in the dark." |
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| 94.68% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 586 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.04607508532423208 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.005119453924914676 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 59 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 59 | | mean | 10.1 | | std | 7.8 | | cv | 0.772 | | sampleLengths | | 0 | 24 | | 1 | 22 | | 2 | 16 | | 3 | 31 | | 4 | 19 | | 5 | 19 | | 6 | 9 | | 7 | 15 | | 8 | 15 | | 9 | 4 | | 10 | 22 | | 11 | 7 | | 12 | 30 | | 13 | 4 | | 14 | 16 | | 15 | 3 | | 16 | 2 | | 17 | 15 | | 18 | 9 | | 19 | 1 | | 20 | 15 | | 21 | 5 | | 22 | 1 | | 23 | 1 | | 24 | 3 | | 25 | 12 | | 26 | 11 | | 27 | 20 | | 28 | 5 | | 29 | 11 | | 30 | 14 | | 31 | 22 | | 32 | 9 | | 33 | 4 | | 34 | 2 | | 35 | 2 | | 36 | 9 | | 37 | 11 | | 38 | 2 | | 39 | 4 | | 40 | 5 | | 41 | 7 | | 42 | 11 | | 43 | 6 | | 44 | 14 | | 45 | 7 | | 46 | 7 | | 47 | 3 | | 48 | 3 | | 49 | 5 |
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| 44.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.3389830508474576 | | totalSentences | 59 | | uniqueOpeners | 20 | |
| 66.67% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 50 | | matches | | 0 | "Just the dark, just the" |
| | ratio | 0.02 | |
| 92.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 50 | | matches | | 0 | "She’d come here because the" | | 1 | "She’d parked the bike at" | | 2 | "She told herself it was" | | 3 | "She’d been here before, in" | | 4 | "She turned slowly, her pulse" | | 5 | "She exhaled, sharp and uneven." | | 6 | "She jerked her hand up," | | 7 | "Its limbs were wrong—too long," | | 8 | "Her voice came out thin," | | 9 | "It was a wet, clicking" | | 10 | "She’d read about these places—about" | | 11 | "She didn’t have much of" | | 12 | "She had the warmth of" | | 13 | "She didn’t scream." | | 14 | "She lifted the pendant, held" | | 15 | "she said, voice steady now" |
| | ratio | 0.32 | |
| 40.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 42 | | totalSentences | 50 | | matches | | 0 | "The air in Richmond Park" | | 1 | "Aurora Carter adjusted the strap" | | 2 | "The pendant pulsed faintly, a" | | 3 | "She’d come here because the" | | 4 | "The GPS had failed at" | | 5 | "She’d parked the bike at" | | 6 | "The moment she crossed the" | | 7 | "The wildflowers along the path" | | 8 | "The air hummed, not with" | | 9 | "Aurora’s breath came faster." | | 10 | "She told herself it was" | | 11 | "She’d been here before, in" | | 12 | "The Grove was a place" | | 13 | "Stories didn’t make your skin" | | 14 | "A twig snapped." | | 15 | "The sound had come from" | | 16 | "She turned slowly, her pulse" | | 17 | "She exhaled, sharp and uneven." | | 18 | "The bike ride.*" | | 19 | "She jerked her hand up," |
| | ratio | 0.84 | |
| 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 Richmond Park smelled wrong—like damp earth and something older, something that had festered beneath the roots of the trees for centuries." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 2 | | matches | | 0 | "Her voice came out, high" | | 1 | "she said, voice steady now" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |