| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.267 | | leniency | 0.533 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.60% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2085 | | 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) | |
| 59.23% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2085 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "silence" | | 1 | "warmth" | | 2 | "echo" | | 3 | "footfall" | | 4 | "pulse" | | 5 | "scanning" | | 6 | "stomach" | | 7 | "weight" | | 8 | "pulsed" | | 9 | "echoed" | | 10 | "chilled" | | 11 | "perfect" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 240 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 240 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 262 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2079 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 1970 | | uniqueNames | 11 | | maxNameDensity | 1.47 | | worstName | "Aurora" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 2 | | Park | 1 | | Aurora | 29 | | Heartstone | 3 | | Pendant | 1 | | Tonight | 1 | | Eva | 3 | | Cardiff | 1 | | Evan | 1 | | Hel | 1 | | One | 3 |
| | persons | | 0 | "Aurora" | | 1 | "Pendant" | | 2 | "Eva" | | 3 | "Evan" | | 4 | "One" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Heartstone" | | 3 | "Cardiff" | | 4 | "Hel" |
| | globalScore | 0.764 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 144 | | glossingSentenceCount | 2 | | matches | | 0 | "sounded like" | | 1 | "looked like Aurora’s old one, the one she" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.481 | | wordCount | 2079 | | matches | | 0 | "not from humour but from the body's blunt response to terror" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 262 | | matches | | 0 | "hated that she" | | 1 | "knew that much" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 131 | | mean | 15.87 | | std | 16.72 | | cv | 1.054 | | sampleLengths | | 0 | 62 | | 1 | 10 | | 2 | 26 | | 3 | 2 | | 4 | 23 | | 5 | 8 | | 6 | 19 | | 7 | 86 | | 8 | 18 | | 9 | 19 | | 10 | 69 | | 11 | 16 | | 12 | 3 | | 13 | 10 | | 14 | 1 | | 15 | 20 | | 16 | 5 | | 17 | 32 | | 18 | 20 | | 19 | 9 | | 20 | 3 | | 21 | 72 | | 22 | 8 | | 23 | 30 | | 24 | 6 | | 25 | 33 | | 26 | 9 | | 27 | 7 | | 28 | 35 | | 29 | 5 | | 30 | 21 | | 31 | 7 | | 32 | 2 | | 33 | 35 | | 34 | 8 | | 35 | 3 | | 36 | 7 | | 37 | 60 | | 38 | 7 | | 39 | 13 | | 40 | 2 | | 41 | 33 | | 42 | 6 | | 43 | 1 | | 44 | 34 | | 45 | 3 | | 46 | 8 | | 47 | 22 | | 48 | 38 | | 49 | 11 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 240 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 305 | | matches | (empty) | |
| 77.43% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 1 | | flaggedSentences | 6 | | totalSentences | 262 | | ratio | 0.023 | | matches | | 0 | "London had fallen away behind her in layers—traffic, late buses, people smoking outside pubs—and the silence here felt arranged, as if something had laid it out with care." | | 1 | "There was always something—foxes screaming, a distant siren, the thud of trainers, a plane above." | | 2 | "One moment she walked between oaks; the next the trees broke and the stones stood ahead in a rough ring, each one taller than a man, each one thick with moss that shone almost blue in the moonlight." | | 3 | "Wildflowers spread around them despite the season—foxgloves, white campion, buttercups, flowers that should not have shared soil, all open to the night as if noon sat above them." | | 4 | "No, not close—small." | | 5 | "She caught only the back of it—a pale shoulder, dark hair swinging, the edge of a dress or long shirt." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 245 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 2 | | adverbRatio | 0.00816326530612245 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 262 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 262 | | mean | 7.94 | | std | 6.05 | | cv | 0.763 | | sampleLengths | | 0 | 24 | | 1 | 6 | | 2 | 4 | | 3 | 28 | | 4 | 10 | | 5 | 5 | | 6 | 14 | | 7 | 5 | | 8 | 2 | | 9 | 2 | | 10 | 7 | | 11 | 8 | | 12 | 1 | | 13 | 2 | | 14 | 5 | | 15 | 3 | | 16 | 5 | | 17 | 8 | | 18 | 11 | | 19 | 13 | | 20 | 13 | | 21 | 7 | | 22 | 19 | | 23 | 9 | | 24 | 1 | | 25 | 2 | | 26 | 22 | | 27 | 11 | | 28 | 7 | | 29 | 19 | | 30 | 3 | | 31 | 9 | | 32 | 5 | | 33 | 11 | | 34 | 8 | | 35 | 15 | | 36 | 18 | | 37 | 1 | | 38 | 2 | | 39 | 13 | | 40 | 3 | | 41 | 10 | | 42 | 1 | | 43 | 10 | | 44 | 1 | | 45 | 3 | | 46 | 5 | | 47 | 1 | | 48 | 5 | | 49 | 4 |
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| 47.46% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 19 | | diversityRatio | 0.3282442748091603 | | totalSentences | 262 | | uniqueOpeners | 86 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 202 | | matches | | 0 | "Then another step." | | 1 | "Then the laugh came again," | | 2 | "Too tall for a child." | | 3 | "Too slight for a grown" | | 4 | "More than enough for Aurora." | | 5 | "Then to her left." | | 6 | "Then from directly behind her," |
| | ratio | 0.035 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 41 | | totalSentences | 202 | | matches | | 0 | "She pulled her coat tighter" | | 1 | "Her breath should have shown." | | 2 | "She lifted a hand, breathed" | | 3 | "Her voice travelled farther than" | | 4 | "It slid ahead through the" | | 5 | "She reached beneath her jumper" | | 6 | "She had walked through parks" | | 7 | "She turned her head, not" | | 8 | "She knew what her footfall" | | 9 | "She turned fully and looked" | | 10 | "Her hand stayed on the" | | 11 | "She kept going." | | 12 | "She drew it out and" | | 13 | "She knew that much." | | 14 | "She crossed the clearing, scanning" | | 15 | "She followed it towards the" | | 16 | "It had come from her" | | 17 | "She turned towards it and" | | 18 | "Her own voice came out" | | 19 | "It cut off mid-note." |
| | ratio | 0.203 | |
| 66.44% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 159 | | totalSentences | 202 | | matches | | 0 | "The gate into Richmond Park" | | 1 | "London had fallen away behind" | | 2 | "She pulled her coat tighter" | | 3 | "Gravel shifted under her boots." | | 4 | "Frost silvered the grass on" | | 5 | "Her breath should have shown." | | 6 | "A thin crease formed between" | | 7 | "She lifted a hand, breathed" | | 8 | "Her voice travelled farther than" | | 9 | "It slid ahead through the" | | 10 | "She reached beneath her jumper" | | 11 | "The thumbnail-sized crimson stone pressed" | | 12 | "That had been her reason" | | 13 | "Tonight it had gone hot" | | 14 | "The place Eva had once" | | 15 | "Aurora said to the dark," | | 16 | "The path narrowed." | | 17 | "Branches knitted overhead, black against" | | 18 | "Leaves lay across the ground" | | 19 | "She had walked through parks" |
| | ratio | 0.787 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 202 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 72 | | technicalSentenceCount | 4 | | matches | | 0 | "London had fallen away behind her in layers—traffic, late buses, people smoking outside pubs—and the silence here felt arranged, as if something had laid it out…" | | 1 | "One moment she walked between oaks; the next the trees broke and the stones stood ahead in a rough ring, each one taller than a man, each one thick with moss th…" | | 2 | "Wildflowers spread around them despite the season—foxgloves, white campion, buttercups, flowers that should not have shared soil, all open to the night as if no…" | | 3 | "Trunks stood in a crescent around a shallow hollow filled with bluebells that glimmered like trapped dusk." |
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| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 1 | | matches | | 0 | "She shifted, voice gaining a hard, practical edge" |
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| 83.33% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 30 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0.4 | | effectiveRatio | 0.133 | |