| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.32% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1497 | | 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) | |
| 53.24% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1497 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "footfall" | | 1 | "silence" | | 2 | "rhythmic" | | 3 | "weight" | | 4 | "fractured" | | 5 | "pulsed" | | 6 | "tracing" | | 7 | "dance" | | 8 | "whisper" | | 9 | "scanned" | | 10 | "gloom" | | 11 | "warmth" |
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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 | 168 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 168 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "tried to" | | 2 | "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 | 174 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 9 | | totalWords | 1488 | | ratio | 0.006 | | matches | | 0 | "Snap." | | 1 | "What have you done?" | | 2 | "You are not leaving." |
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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 | 19 | | wordCount | 1459 | | uniqueNames | 8 | | maxNameDensity | 0.48 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Chiswick | 1 | | Evan | 2 | | Heartstone | 4 | | London | 2 | | Hell | 1 | | Aurora | 7 |
| | persons | | 0 | "Chiswick" | | 1 | "Evan" | | 2 | "Heartstone" | | 3 | "Aurora" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 53.85% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 104 | | glossingSentenceCount | 4 | | matches | | 0 | "air that seemed to come from everywhere and nowhere at once" | | 1 | "sounded like dry parchment sliding against" | | 2 | "ice that seemed to seep into her marrow" | | 3 | "sounded like a lawyer, cold and precise" |
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| 65.59% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.344 | | wordCount | 1488 | | matches | | 0 | "not as a voice, but as the rustle of leaves" | | 1 | "not toward the light of London, but into the deeper black of the wood, letting the creature cras" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 174 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 27.56 | | std | 21.61 | | cv | 0.784 | | sampleLengths | | 0 | 107 | | 1 | 34 | | 2 | 8 | | 3 | 75 | | 4 | 87 | | 5 | 57 | | 6 | 9 | | 7 | 50 | | 8 | 16 | | 9 | 45 | | 10 | 49 | | 11 | 35 | | 12 | 13 | | 13 | 11 | | 14 | 8 | | 15 | 13 | | 16 | 43 | | 17 | 37 | | 18 | 1 | | 19 | 16 | | 20 | 11 | | 21 | 10 | | 22 | 2 | | 23 | 39 | | 24 | 41 | | 25 | 3 | | 26 | 26 | | 27 | 4 | | 28 | 46 | | 29 | 7 | | 30 | 16 | | 31 | 32 | | 32 | 38 | | 33 | 19 | | 34 | 28 | | 35 | 32 | | 36 | 4 | | 37 | 17 | | 38 | 44 | | 39 | 24 | | 40 | 40 | | 41 | 16 | | 42 | 36 | | 43 | 20 | | 44 | 4 | | 45 | 19 | | 46 | 44 | | 47 | 11 | | 48 | 40 | | 49 | 9 |
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| 99.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 168 | | matches | | 0 | "was flattened" | | 1 | "was gone" | | 2 | "were elongated" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 256 | | matches | | 0 | "were casting" | | 1 | "was burning" | | 2 | "were pulsating" |
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| 60.76% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 4 | | flaggedSentences | 5 | | totalSentences | 174 | | ratio | 0.029 | | matches | | 0 | "The ambiguity always stuck in her craw, but the pendant provided the one thing she needed—a lifeline out of the rut of her life, out of the lingering panic of Evan’s hands." | | 1 | "Her fingers brushed the rough stubble of a bramble; thorns pricked her skin, but the reaction was delayed." | | 2 | "It wasn't just jewelry; it was a compass." | | 3 | "They weren't cast by moonlight; they moved under their own momentum, dragging the grass with them." | | 4 | "She didn't run; she stepped into the gap between the stones, not toward the light of London, but into the deeper black of the wood, letting the creature crash into the granite where she had stood a moment before." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1468 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 50 | | adverbRatio | 0.0340599455040872 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.010899182561307902 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 174 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 174 | | mean | 8.55 | | std | 5.88 | | cv | 0.688 | | sampleLengths | | 0 | 6 | | 1 | 13 | | 2 | 22 | | 3 | 15 | | 4 | 16 | | 5 | 3 | | 6 | 32 | | 7 | 2 | | 8 | 12 | | 9 | 10 | | 10 | 10 | | 11 | 8 | | 12 | 10 | | 13 | 10 | | 14 | 16 | | 15 | 8 | | 16 | 11 | | 17 | 4 | | 18 | 16 | | 19 | 13 | | 20 | 7 | | 21 | 9 | | 22 | 20 | | 23 | 18 | | 24 | 16 | | 25 | 4 | | 26 | 12 | | 27 | 12 | | 28 | 9 | | 29 | 16 | | 30 | 8 | | 31 | 5 | | 32 | 4 | | 33 | 6 | | 34 | 3 | | 35 | 15 | | 36 | 12 | | 37 | 14 | | 38 | 8 | | 39 | 8 | | 40 | 13 | | 41 | 8 | | 42 | 10 | | 43 | 14 | | 44 | 3 | | 45 | 14 | | 46 | 10 | | 47 | 3 | | 48 | 19 | | 49 | 3 |
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| 33.82% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 28 | | diversityRatio | 0.23121387283236994 | | totalSentences | 173 | | uniqueOpeners | 40 | |
| 64.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 155 | | matches | | 0 | "Immediately, the silence fractured." | | 1 | "Just this place." | | 2 | "Then came the scuttling." |
| | ratio | 0.019 | |
| 3.23% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 84 | | totalSentences | 155 | | matches | | 0 | "She tapped the screen to" | | 1 | "She pressed her back against" | | 2 | "Her heart hammered a slow," | | 3 | "She exhaled, forcing the air" | | 4 | "She pushed off the tree," | | 5 | "She followed the line of" | | 6 | "It wasn’t natural night." | | 7 | "It felt stagnant, as if" | | 8 | "She found the trail after" | | 9 | "It led toward the old" | | 10 | "Her fingers brushed the rough" | | 11 | "She pulled her hand away" | | 12 | "It hadn't hurt instantly." | | 13 | "They formed a rough circle," | | 14 | "It wasn't just jewelry; it" | | 15 | "It was the sound of" | | 16 | "She spun in a circle," | | 17 | "she said, her voice tight" | | 18 | "It sounded like dry parchment" | | 19 | "She took a step toward" |
| | ratio | 0.542 | |
| 8.39% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 140 | | totalSentences | 155 | | matches | | 0 | "The gravel crunched under her" | | 1 | "Each footfall sounded deafening in" | | 2 | "The streetlights of Chiswick receded," | | 3 | "She tapped the screen to" | | 4 | "This was the third vague" | | 5 | "The ambiguity always stuck in" | | 6 | "She pressed her back against" | | 7 | "Her heart hammered a slow," | | 8 | "She exhaled, forcing the air" | | 9 | "She pushed off the tree," | | 10 | "The GPS beeped again, a" | | 11 | "She followed the line of" | | 12 | "The trees here were taller," | | 13 | "Darkness hung low, a physical" | | 14 | "It wasn’t natural night." | | 15 | "It felt stagnant, as if" | | 16 | "She found the trail after" | | 17 | "It led toward the old" | | 18 | "The scent of diesel and" | | 19 | "Her fingers brushed the rough" |
| | ratio | 0.903 | |
| 32.26% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 155 | | matches | | | ratio | 0.006 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 64 | | technicalSentenceCount | 3 | | matches | | 0 | "The ground beneath her felt spongy, yielding in a way that felt unsettlingly liquid." | | 1 | "The trees were casting shadows that were too long, sweeping across the ground in slow, graceful curves that mimicked a slow-motion dance." | | 2 | "The creature landed on its feet, hissing, its wet skin hissing like steam." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, her voice tight" | | 1 | "she muttered, her voice shaking but steady" |
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| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 8 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.5 | | effectiveRatio | 0.25 | |