| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 131 | | tagDensity | 0.153 | | leniency | 0.305 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2222 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 91.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2222 | | totalAiIsms | 4 | | found | | | highlights | | |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "room fell silent" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 159 | | matches | (empty) | |
| 97.93% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 4 | | hedgeCount | 1 | | narrationSentences | 159 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 270 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 63 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2220 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 31 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 94 | | wordCount | 1498 | | uniqueNames | 6 | | maxNameDensity | 2.94 | | worstName | "Rory" | | maxWindowNameDensity | 5 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Silas | 7 | | Rory | 44 | | Eva | 39 | | London | 2 | | Come | 1 |
| | persons | | 0 | "Silas" | | 1 | "Rory" | | 2 | "Eva" | | 3 | "Come" |
| | places | | | globalScore | 0.031 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 108 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like lies worn smooth by use" |
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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 | 2220 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 4 | | totalSentences | 270 | | matches | | 0 | "understand that privacy" | | 1 | "turning that day" | | 2 | "say that she" | | 3 | "say that she" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 155 | | mean | 14.32 | | std | 17.05 | | cv | 1.191 | | sampleLengths | | 0 | 14 | | 1 | 85 | | 2 | 3 | | 3 | 50 | | 4 | 4 | | 5 | 6 | | 6 | 30 | | 7 | 43 | | 8 | 65 | | 9 | 36 | | 10 | 10 | | 11 | 7 | | 12 | 16 | | 13 | 4 | | 14 | 23 | | 15 | 2 | | 16 | 3 | | 17 | 7 | | 18 | 28 | | 19 | 18 | | 20 | 50 | | 21 | 8 | | 22 | 1 | | 23 | 4 | | 24 | 5 | | 25 | 23 | | 26 | 29 | | 27 | 2 | | 28 | 26 | | 29 | 2 | | 30 | 4 | | 31 | 6 | | 32 | 5 | | 33 | 2 | | 34 | 27 | | 35 | 10 | | 36 | 2 | | 37 | 3 | | 38 | 3 | | 39 | 8 | | 40 | 19 | | 41 | 62 | | 42 | 24 | | 43 | 9 | | 44 | 14 | | 45 | 2 | | 46 | 7 | | 47 | 2 | | 48 | 7 | | 49 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 159 | | matches | | 0 | "was cropped" | | 1 | "were gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 276 | | matches | | 0 | "was watching" | | 1 | "was already beginning" | | 2 | "were not waiting" | | 3 | "was walking" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 270 | | ratio | 0.007 | | matches | | 0 | "Not silent; the place still breathed around them—glasses clinking, a low laugh near the door, rain ticking at the windows." | | 1 | "The old instinct rose in Rory—stop her, ask her to stay, make her finish what she had started." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1504 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 51 | | adverbRatio | 0.0339095744680851 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.005984042553191489 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 270 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 270 | | mean | 8.22 | | std | 7.34 | | cv | 0.893 | | sampleLengths | | 0 | 14 | | 1 | 18 | | 2 | 37 | | 3 | 30 | | 4 | 3 | | 5 | 9 | | 6 | 14 | | 7 | 8 | | 8 | 19 | | 9 | 4 | | 10 | 6 | | 11 | 10 | | 12 | 20 | | 13 | 11 | | 14 | 20 | | 15 | 12 | | 16 | 9 | | 17 | 16 | | 18 | 20 | | 19 | 7 | | 20 | 2 | | 21 | 11 | | 22 | 21 | | 23 | 11 | | 24 | 2 | | 25 | 2 | | 26 | 8 | | 27 | 2 | | 28 | 6 | | 29 | 1 | | 30 | 4 | | 31 | 8 | | 32 | 4 | | 33 | 4 | | 34 | 8 | | 35 | 9 | | 36 | 6 | | 37 | 2 | | 38 | 3 | | 39 | 7 | | 40 | 8 | | 41 | 4 | | 42 | 16 | | 43 | 9 | | 44 | 9 | | 45 | 7 | | 46 | 17 | | 47 | 4 | | 48 | 22 | | 49 | 5 |
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| 42.22% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 21 | | diversityRatio | 0.24814814814814815 | | totalSentences | 270 | | uniqueOpeners | 67 | |
| 97.32% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 137 | | matches | | 0 | "Then the old maps, the" | | 1 | "Just weathered into a shape" | | 2 | "Then she stepped into the" | | 3 | "Somewhere outside, an old friend" |
| | ratio | 0.029 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 137 | | matches | | 0 | "She pushed inside." | | 1 | "His limp showed in the" | | 2 | "He set the glass down" | | 3 | "Her hair was cropped close" | | 4 | "She wore a dark coat" | | 5 | "His expression didn’t change, but" | | 6 | "It didn’t quite manage." | | 7 | "He didn’t go to the" | | 8 | "He went to the far" | | 9 | "She’d lived above him long" | | 10 | "She put the towel down." | | 11 | "She had been eight when" | | 12 | "It was an old habit," | | 13 | "She reached for the water." | | 14 | "Her fingers were still cold" | | 15 | "She had not imagined her" | | 16 | "She had slept on a" | | 17 | "She had worked where she" | | 18 | "She had learned that leaving" | | 19 | "She had learned to make" |
| | ratio | 0.27 | |
| 22.04% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 120 | | totalSentences | 137 | | matches | | 0 | "The green neon Raven above" | | 1 | "Rory stood beneath it with" | | 2 | "The delivery had gone wrong" | | 3 | "She pushed inside." | | 4 | "The warmth and low amber" | | 5 | "Silas was behind the bar," | | 6 | "His limp showed in the" | | 7 | "He set the glass down" | | 8 | "Rory took it, but before" | | 9 | "Eva stood with one hand" | | 10 | "Her hair was cropped close" | | 11 | "She wore a dark coat" | | 12 | "The face itself was older," | | 13 | "Rory’s mind reached for the" | | 14 | "The girl who had called" | | 15 | "The woman at the bar" | | 16 | "Rory’s hand tightened around the" | | 17 | "Silas glanced between them." | | 18 | "His expression didn’t change, but" | | 19 | "The words struck harder than" |
| | ratio | 0.876 | |
| 72.99% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 137 | | matches | | 0 | "Now she had made the" | | 1 | "Now Eva said nothing." |
| | ratio | 0.015 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 59 | | technicalSentenceCount | 1 | | matches | | 0 | "Rory’s mind reached for the last Eva it had stored: twenty-two, bright-mouthed, forever arriving late with her scarf flying behind her." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 131 | | tagDensity | 0.107 | | leniency | 0.214 | | rawRatio | 0.071 | | effectiveRatio | 0.015 | |