| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 90.85% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1093 | | 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) | |
| 54.25% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1093 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "warmth" | | 1 | "velvet" | | 2 | "weight" | | 3 | "pulsed" | | 4 | "silence" | | 5 | "flicker" | | 6 | "could feel" | | 7 | "trembled" |
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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 | 123 | | matches | (empty) | |
| 84.79% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 123 | | filterMatches | | | hedgeMatches | | 0 | "tried to" | | 1 | "began to" | | 2 | "seemed to" |
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| 97.93% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 125 | | gibberishSentences | 1 | | adjustedGibberishSentences | 1 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0.008 | | matches | | 0 | "She'd worn it for three weeks now, ever since the woman in the静脉 clinic handed it to her without explanation." |
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| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1086 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 1076 | | uniqueNames | 10 | | maxNameDensity | 0.28 | | worstName | "Like" | | maxWindowNameDensity | 1 | | worstWindowName | "Like" | | discoveredNames | | Richmond | 2 | | Park | 2 | | Like | 3 | | Grove | 2 | | Eva | 3 | | Cardiff | 1 | | London | 1 | | Fae | 1 | | Evan | 1 | | Aurora | 3 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Grove" | | 3 | "Cardiff" | | 4 | "London" | | 5 | "Fae" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 1 | | matches | | 0 | "quite a face, angles that shouldn't be angles, a silhouette that her eyes refused to process" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1086 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 125 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 23.61 | | std | 20.14 | | cv | 0.853 | | sampleLengths | | 0 | 9 | | 1 | 40 | | 2 | 12 | | 3 | 46 | | 4 | 22 | | 5 | 4 | | 6 | 75 | | 7 | 17 | | 8 | 41 | | 9 | 64 | | 10 | 34 | | 11 | 17 | | 12 | 4 | | 13 | 52 | | 14 | 4 | | 15 | 3 | | 16 | 35 | | 17 | 29 | | 18 | 1 | | 19 | 39 | | 20 | 4 | | 21 | 66 | | 22 | 5 | | 23 | 39 | | 24 | 3 | | 25 | 55 | | 26 | 3 | | 27 | 40 | | 28 | 3 | | 29 | 43 | | 30 | 12 | | 31 | 5 | | 32 | 26 | | 33 | 4 | | 34 | 14 | | 35 | 26 | | 36 | 51 | | 37 | 17 | | 38 | 36 | | 39 | 3 | | 40 | 38 | | 41 | 10 | | 42 | 20 | | 43 | 2 | | 44 | 5 | | 45 | 8 |
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| 99.56% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 123 | | matches | | 0 | "was marked" | | 1 | "was hidden" |
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| 99.50% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 199 | | matches | | 0 | "was falling" | | 1 | "was walking" | | 2 | "were breathing" |
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| 74.29% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 125 | | ratio | 0.024 | | matches | | 0 | "Not warm now—hot, almost painful, pressed against her skin like a brand." | | 1 | "Not from wind—there was no wind—but something had passed through them." | | 2 | "Every rational part of her brain screamed it—turn around, find the car, drive until the city swallowed her again." |
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| 92.64% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1083 | | adjectiveStacks | 1 | | stackExamples | | 0 | "painful, pressed against her" |
| | adverbCount | 45 | | adverbRatio | 0.04155124653739612 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.009233610341643583 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 125 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 125 | | mean | 8.69 | | std | 7.78 | | cv | 0.895 | | sampleLengths | | 0 | 9 | | 1 | 15 | | 2 | 6 | | 3 | 19 | | 4 | 6 | | 5 | 6 | | 6 | 10 | | 7 | 20 | | 8 | 9 | | 9 | 7 | | 10 | 7 | | 11 | 12 | | 12 | 1 | | 13 | 2 | | 14 | 4 | | 15 | 4 | | 16 | 3 | | 17 | 20 | | 18 | 35 | | 19 | 2 | | 20 | 2 | | 21 | 9 | | 22 | 6 | | 23 | 3 | | 24 | 8 | | 25 | 10 | | 26 | 16 | | 27 | 2 | | 28 | 13 | | 29 | 7 | | 30 | 17 | | 31 | 22 | | 32 | 18 | | 33 | 10 | | 34 | 9 | | 35 | 8 | | 36 | 7 | | 37 | 4 | | 38 | 13 | | 39 | 4 | | 40 | 6 | | 41 | 14 | | 42 | 5 | | 43 | 3 | | 44 | 1 | | 45 | 2 | | 46 | 2 | | 47 | 19 | | 48 | 4 | | 49 | 2 |
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| 54.40% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.384 | | totalSentences | 125 | | uniqueOpeners | 48 | |
| 33.67% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 99 | | matches | | 0 | "Then the figure spoke, and" |
| | ratio | 0.01 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 99 | | matches | | 0 | "She'd come here for a" | | 1 | "She'd worn it for three" | | 2 | "She'd known that before she'd" | | 3 | "She'd thought it was a" | | 4 | "Her phone's torch cut a" | | 5 | "She stepped out of the" | | 6 | "She remembered Richmond Park having" | | 7 | "She pushed through a gap" | | 8 | "She didn't see flowers." | | 9 | "She saw darkness, thick as" | | 10 | "She turned, torch sweeping the" | | 11 | "She walked past it." | | 12 | "She shook it, tapped it" | | 13 | "She saw them then." | | 14 | "They shouldn't have been visible." | | 15 | "It crawled up her spine" | | 16 | "She wasn't alone." | | 17 | "She pulled out the chain," | | 18 | "She turned slowly, giving herself" | | 19 | "Their shadows moved independently of" |
| | ratio | 0.253 | |
| 66.06% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 78 | | totalSentences | 99 | | matches | | 0 | "The headlights died before she" | | 1 | "Aurora sat in the sudden" | | 2 | "The engine ticked as it" | | 3 | "She'd come here for a" | | 4 | "That much felt important to" | | 5 | "The pendant pressed cold against" | | 6 | "She'd worn it for three" | | 7 | "The pull had started at" | | 8 | "A faint warmth, spreading from" | | 9 | "Aurora grabbed her phone." | | 10 | "She'd known that before she'd" | | 11 | "The Grove was marked on" | | 12 | "A place where the wall" | | 13 | "She'd thought it was a" | | 14 | "Nothing that warranted a drive" | | 15 | "Her phone's torch cut a" | | 16 | "She stepped out of the" | | 17 | "The desperate human need to" | | 18 | "The fence was lower than" | | 19 | "She remembered Richmond Park having" |
| | ratio | 0.788 | |
| 50.51% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 99 | | matches | | | ratio | 0.01 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 7 | | matches | | 0 | "She remembered Richmond Park having proper barriers, the kind that said keep out without bothering with words." | | 1 | "This was just wooden posts, old and grey, the wire between them rusted to something that felt more like decoration than defence." | | 2 | "She saw darkness, thick as velvet, the kind that had weight and intention." | | 3 | "Soft at first, then springier, like walking on moss that had never known drought." | | 4 | "The silence was absolute, the kind that didn't exist in London, where there was always a car alarm or a drunk or the distant hum of the underground." | | 5 | "The standing stones were visible now, ancient oaks grown into shapes that hurt the eye if she looked too long." | | 6 | "Featureless except for the suggestion of a face that wasn't quite a face, angles that shouldn't be angles, a silhouette that her eyes refused to process." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |