| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 899 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 61.07% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 899 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "pulsed" | | 1 | "warmth" | | 2 | "traced" | | 3 | "determined" | | 4 | "rhythmic" | | 5 | "glistening" | | 6 | "familiar" |
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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 | 93 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 93 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 892 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 45.71% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 863 | | uniqueNames | 7 | | maxNameDensity | 2.09 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 18 | | February | 1 | | Cardiff | 1 | | Eva | 4 | | Park | 1 | | London | 1 | | Heartstone | 2 |
| | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "Heartstone" |
| | places | | 0 | "February" | | 1 | "Cardiff" | | 2 | "Park" | | 3 | "London" |
| | globalScore | 0.457 | | windowScore | 0.5 | |
| 29.03% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 3 | | matches | | 0 | "smelled like chloroform" | | 1 | "looked like a hunched old couple" | | 2 | "looked like starlight reflected on oil" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 2.242 | | wordCount | 892 | | matches | | 0 | "not wood at all but something muscular" | | 1 | "not pooling but running in deliberate lines, sketching shapes" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 27.03 | | std | 20 | | cv | 0.74 | | sampleLengths | | 0 | 39 | | 1 | 5 | | 2 | 50 | | 3 | 45 | | 4 | 6 | | 5 | 71 | | 6 | 12 | | 7 | 5 | | 8 | 52 | | 9 | 29 | | 10 | 5 | | 11 | 46 | | 12 | 40 | | 13 | 3 | | 14 | 45 | | 15 | 3 | | 16 | 48 | | 17 | 1 | | 18 | 45 | | 19 | 4 | | 20 | 21 | | 21 | 21 | | 22 | 46 | | 23 | 8 | | 24 | 42 | | 25 | 8 | | 26 | 4 | | 27 | 44 | | 28 | 18 | | 29 | 33 | | 30 | 3 | | 31 | 47 | | 32 | 43 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 93 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 147 | | matches | | 0 | "wasn't answering" | | 1 | "were closing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 96 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 870 | | adjectiveStacks | 1 | | stackExamples | | 0 | "pressing hard against her" |
| | adverbCount | 26 | | adverbRatio | 0.029885057471264367 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0034482758620689655 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 9.29 | | std | 5.61 | | cv | 0.604 | | sampleLengths | | 0 | 10 | | 1 | 10 | | 2 | 19 | | 3 | 2 | | 4 | 3 | | 5 | 5 | | 6 | 1 | | 7 | 19 | | 8 | 13 | | 9 | 6 | | 10 | 2 | | 11 | 4 | | 12 | 8 | | 13 | 16 | | 14 | 13 | | 15 | 8 | | 16 | 6 | | 17 | 15 | | 18 | 8 | | 19 | 16 | | 20 | 5 | | 21 | 11 | | 22 | 16 | | 23 | 12 | | 24 | 5 | | 25 | 8 | | 26 | 4 | | 27 | 17 | | 28 | 3 | | 29 | 3 | | 30 | 17 | | 31 | 8 | | 32 | 9 | | 33 | 12 | | 34 | 3 | | 35 | 2 | | 36 | 8 | | 37 | 4 | | 38 | 20 | | 39 | 14 | | 40 | 16 | | 41 | 7 | | 42 | 6 | | 43 | 11 | | 44 | 3 | | 45 | 9 | | 46 | 10 | | 47 | 13 | | 48 | 13 | | 49 | 3 |
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| 51.74% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.3541666666666667 | | totalSentences | 96 | | uniqueOpeners | 34 | |
| 76.63% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 87 | | matches | | 0 | "Bright blue, her mother always" | | 1 | "Just the rhythmic wheezing of" |
| | ratio | 0.023 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 87 | | matches | | 0 | "She stopped, fingers trembling as" | | 1 | "She checked her mobile again." | | 2 | "Her trainers sank into moss" | | 3 | "She moved toward the nearest" | | 4 | "It stood twice her height," | | 5 | "She traced one groove with" | | 6 | "She'd mapped this grove with" | | 7 | "She didn't look down." | | 8 | "She knew what she'd find," | | 9 | "She reached the centre of" | | 10 | "It bore a hollow, thumb-sized" | | 11 | "She cried out as heat" | | 12 | "They snaked across the moss," | | 13 | "She yanked her hand away," | | 14 | "She needed to leave." | | 15 | "She turned toward the gap" | | 16 | "She sprinted toward the narrowing" | | 17 | "It pattered against the moss," | | 18 | "It wore Rory's face." | | 19 | "Its hair hung longer, past" |
| | ratio | 0.253 | |
| 40.46% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 87 | | matches | | 0 | "The pendant seared against Rory's" | | 1 | "She stopped, fingers trembling as" | | 2 | "The crimson gemstone pulsed, irregular" | | 3 | "She checked her mobile again." | | 4 | "The battery had read sixty-seven" | | 5 | "Tonight they looked bruised." | | 6 | "Rory tucked the phone into" | | 7 | "Her trainers sank into moss" | | 8 | "Wildflowers dotted the clearing's edge," | | 9 | "The air tasted of copper" | | 10 | "She moved toward the nearest" | | 11 | "It stood twice her height," | | 12 | "She traced one groove with" | | 13 | "The crescent scar on her" | | 14 | "Rory snatched her hand back." | | 15 | "The groove hadn't been there" | | 16 | "She'd mapped this grove with" | | 17 | "A branch cracked behind her." | | 18 | "Rory spun, shoulder-length black hair" | | 19 | "The grove remained still." |
| | ratio | 0.839 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 87 | | matches | | 0 | "Now the screen stared back," | | 1 | "Now Eva wasn't answering her" |
| | ratio | 0.023 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 4 | | matches | | 0 | "Her trainers sank into moss that shouldn't exist in February, soft and springy beneath her soles." | | 1 | "The wildflowers opened wider, revealing centres that weren't pollen but teeth, small and translucent and needle-sharp." | | 2 | "It pattered against the moss, not pooling but running in deliberate lines, sketching shapes that made Rory's eyes water when she tried to focus." | | 3 | "The proportions were wrong, stretched, the bright blue eyes too far apart and filled with something that looked like starlight reflected on oil." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0 | | effectiveRatio | 0 | |