| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 0 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1413 | | 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) | |
| 39.84% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1413 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "pulse" | | 2 | "scanning" | | 3 | "perfect" | | 4 | "silence" | | 5 | "echo" | | 6 | "navigated" | | 7 | "processed" | | 8 | "stomach" | | 9 | "searing" | | 10 | "footsteps" | | 11 | "shimmered" | | 12 | "could feel" | | 13 | "chill" | | 14 | "symphony" |
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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 | 164 | | matches | (empty) | |
| 73.17% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 4 | | hedgeCount | 4 | | narrationSentences | 164 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "began to" | | 2 | "seem to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 164 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1413 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 1 | | matches | | 0 | "I am not staying, she said." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 1394 | | uniqueNames | 13 | | maxNameDensity | 0.86 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 2 | | Park | 2 | | Heartstone | 1 | | Golden | 1 | | Empress | 1 | | November | 1 | | London | 3 | | Evan | 1 | | Cardiff | 1 | | Grove | 1 | | Dymas | 1 | | Hel | 1 | | Rory | 12 |
| | persons | | 0 | "Empress" | | 1 | "Evan" | | 2 | "Grove" | | 3 | "Rory" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Golden" | | 3 | "London" | | 4 | "Cardiff" | | 5 | "Dymas" | | 6 | "Hel" |
| | globalScore | 1 | | windowScore | 1 | |
| 81.19% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 109 | | glossingSentenceCount | 3 | | matches | | 0 | "gem that seemed to drink the moonlight rather than reflect it" | | 1 | "quite remember upon waking" | | 2 | "seemed closer than they had been a moment ago, though she had not moved toward them" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.708 | | wordCount | 1413 | | matches | | 0 | "Not wilted by wind, but rotating on their stems" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 164 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 35.33 | | std | 20.6 | | cv | 0.583 | | sampleLengths | | 0 | 69 | | 1 | 86 | | 2 | 74 | | 3 | 40 | | 4 | 66 | | 5 | 5 | | 6 | 34 | | 7 | 19 | | 8 | 6 | | 9 | 89 | | 10 | 8 | | 11 | 6 | | 12 | 45 | | 13 | 6 | | 14 | 42 | | 15 | 46 | | 16 | 38 | | 17 | 50 | | 18 | 15 | | 19 | 27 | | 20 | 47 | | 21 | 32 | | 22 | 45 | | 23 | 40 | | 24 | 26 | | 25 | 38 | | 26 | 31 | | 27 | 44 | | 28 | 9 | | 29 | 29 | | 30 | 18 | | 31 | 9 | | 32 | 31 | | 33 | 34 | | 34 | 37 | | 35 | 37 | | 36 | 35 | | 37 | 43 | | 38 | 21 | | 39 | 36 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 164 | | matches | | 0 | "been made" | | 1 | "was replaced" |
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| 92.04% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 247 | | matches | | 0 | "was beginning" | | 1 | "was burning" | | 2 | "were not marking" | | 3 | "were marking" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 164 | | ratio | 0.012 | | matches | | 0 | "The silence was no longer just an absence of noise; it was a presence." | | 1 | "It did not walk; it unfolded." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1397 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 45 | | adverbRatio | 0.03221188260558339 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.007874015748031496 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 164 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 164 | | mean | 8.62 | | std | 5.67 | | cv | 0.658 | | sampleLengths | | 0 | 8 | | 1 | 17 | | 2 | 24 | | 3 | 4 | | 4 | 3 | | 5 | 7 | | 6 | 3 | | 7 | 3 | | 8 | 8 | | 9 | 17 | | 10 | 21 | | 11 | 31 | | 12 | 6 | | 13 | 3 | | 14 | 6 | | 15 | 19 | | 16 | 7 | | 17 | 3 | | 18 | 5 | | 19 | 8 | | 20 | 14 | | 21 | 12 | | 22 | 9 | | 23 | 15 | | 24 | 8 | | 25 | 8 | | 26 | 10 | | 27 | 17 | | 28 | 5 | | 29 | 13 | | 30 | 9 | | 31 | 12 | | 32 | 5 | | 33 | 7 | | 34 | 11 | | 35 | 16 | | 36 | 1 | | 37 | 3 | | 38 | 13 | | 39 | 2 | | 40 | 2 | | 41 | 4 | | 42 | 5 | | 43 | 17 | | 44 | 17 | | 45 | 16 | | 46 | 9 | | 47 | 7 | | 48 | 18 | | 49 | 5 |
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| 31.10% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 31 | | diversityRatio | 0.2682926829268293 | | totalSentences | 164 | | uniqueOpeners | 44 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 151 | | matches | | 0 | "Instead, they stood upright, vibrant" | | 1 | "Just the heavy silence of" | | 2 | "Then they snapped back to" | | 3 | "Then dead again." | | 4 | "Instead, she closed her eyes" | | 5 | "Only then did she look" | | 6 | "Just the park as it" |
| | ratio | 0.046 | |
| 69.01% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 57 | | totalSentences | 151 | | matches | | 0 | "She checked her watch." | | 1 | "She had entered at ten" | | 2 | "She touched the silver chain" | | 3 | "It was the size of" | | 4 | "It was November in London." | | 5 | "They looked painted on the" | | 6 | "She stopped, her bright blue" | | 7 | "It was an old habit," | | 8 | "She frowned, pulling the chain" | | 9 | "She snapped her head toward" | | 10 | "she called out." | | 11 | "Her voice sounded flat, absorbed" | | 12 | "She had navigated the streets" | | 13 | "She had left Cardiff and" | | 14 | "She checked her watch again." | | 15 | "She tapped the glass face" | | 16 | "She hissed through her teeth" | | 17 | "She had not felt anyone" | | 18 | "She had not heard footsteps." | | 19 | "She began to walk backward," |
| | ratio | 0.377 | |
| 52.72% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 123 | | totalSentences | 151 | | matches | | 0 | "The air inside the oak" | | 1 | "Rory stepped across the threshold" | | 2 | "She checked her watch." | | 3 | "She had entered at ten" | | 4 | "That was good." | | 5 | "That was normal." | | 6 | "She touched the silver chain" | | 7 | "The Heartstone pendant rested against" | | 8 | "It was the size of" | | 9 | "The benefactor who had slipped" | | 10 | "Rory moved deeper into the" | | 11 | "The grass here was too" | | 12 | "Poppies, bluebells, foxgloves." | | 13 | "It was November in London." | | 14 | "The frost should have killed" | | 15 | "They looked painted on the" | | 16 | "She stopped, her bright blue" | | 17 | "The standing stones formed a" | | 18 | "Rory rubbed the small crescent-shaped" | | 19 | "It was an old habit," |
| | ratio | 0.815 | |
| 66.23% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 151 | | matches | | 0 | "If forward motion failed, try" | | 1 | "If this was a portal," |
| | ratio | 0.013 | |
| 80.20% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 5 | | matches | | 0 | "The movement was isolated, specific, as if something had brushed against them from the inside out." | | 1 | "The poppies opened wider, revealing centers that looked too dark, too deep." | | 2 | "The flowers turned with her, their stems creaking with the sound of dry bone rubbing together." | | 3 | "She saw herself in its surface, standing among the turning flowers, looking small and trapped." | | 4 | "The pendant screamed against her skin, a sudden spike of heat that made her gasp." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |