| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 1 | | adverbTags | | 0 | "She crouched again [again]" |
| | dialogueSentences | 29 | | tagDensity | 0.138 | | leniency | 0.276 | | rawRatio | 0.25 | | effectiveRatio | 0.069 | |
| 95.02% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1005 | | 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) | |
| 80.10% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1005 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "perfect" | | 1 | "footsteps" | | 2 | "etched" | | 3 | "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 | 89 | | matches | (empty) | |
| 94.70% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 89 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 115 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1005 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 749 | | uniqueNames | 6 | | maxNameDensity | 0.93 | | worstName | "Raines" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Raines" | | discoveredNames | | Green | 2 | | Raines | 7 | | Blackfriars | 1 | | Morris | 1 | | London | 1 | | Quinn | 7 |
| | persons | | 0 | "Raines" | | 1 | "Morris" | | 2 | "Quinn" |
| | places | | | globalScore | 1 | | windowScore | 0.833 | |
| 38.89% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like knotted hair" | | 1 | "looked like a shadow in the hollow of his" |
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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 | 1005 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 115 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 18.96 | | std | 18.88 | | cv | 0.996 | | sampleLengths | | 0 | 15 | | 1 | 61 | | 2 | 15 | | 3 | 12 | | 4 | 33 | | 5 | 2 | | 6 | 14 | | 7 | 1 | | 8 | 1 | | 9 | 2 | | 10 | 58 | | 11 | 5 | | 12 | 12 | | 13 | 43 | | 14 | 2 | | 15 | 54 | | 16 | 8 | | 17 | 22 | | 18 | 2 | | 19 | 61 | | 20 | 6 | | 21 | 8 | | 22 | 1 | | 23 | 15 | | 24 | 11 | | 25 | 4 | | 26 | 6 | | 27 | 8 | | 28 | 67 | | 29 | 13 | | 30 | 23 | | 31 | 1 | | 32 | 22 | | 33 | 2 | | 34 | 18 | | 35 | 1 | | 36 | 8 | | 37 | 46 | | 38 | 13 | | 39 | 49 | | 40 | 16 | | 41 | 25 | | 42 | 45 | | 43 | 3 | | 44 | 5 | | 45 | 48 | | 46 | 8 | | 47 | 2 | | 48 | 18 | | 49 | 39 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 89 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 123 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 115 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 334 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 10 | | adverbRatio | 0.029940119760479042 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.008982035928143712 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 115 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 115 | | mean | 8.74 | | std | 8.68 | | cv | 0.993 | | sampleLengths | | 0 | 15 | | 1 | 19 | | 2 | 2 | | 3 | 6 | | 4 | 25 | | 5 | 2 | | 6 | 2 | | 7 | 5 | | 8 | 3 | | 9 | 5 | | 10 | 5 | | 11 | 2 | | 12 | 12 | | 13 | 11 | | 14 | 17 | | 15 | 5 | | 16 | 2 | | 17 | 14 | | 18 | 1 | | 19 | 1 | | 20 | 2 | | 21 | 2 | | 22 | 29 | | 23 | 1 | | 24 | 1 | | 25 | 1 | | 26 | 7 | | 27 | 13 | | 28 | 2 | | 29 | 2 | | 30 | 5 | | 31 | 12 | | 32 | 43 | | 33 | 2 | | 34 | 12 | | 35 | 42 | | 36 | 8 | | 37 | 5 | | 38 | 2 | | 39 | 15 | | 40 | 2 | | 41 | 3 | | 42 | 17 | | 43 | 6 | | 44 | 5 | | 45 | 13 | | 46 | 12 | | 47 | 2 | | 48 | 2 | | 49 | 1 |
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| 82.61% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.5217391304347826 | | totalSentences | 115 | | uniqueOpeners | 60 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 66 | | matches | | 0 | "Just the circle." | | 1 | "Then she leaned closer, sniffed." |
| | ratio | 0.03 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 66 | | matches | | 0 | "He flipped his notebook open," | | 1 | "She walked the perimeter of" | | 2 | "Her own team had come" | | 3 | "His mouth opened, closed, opened" | | 4 | "She crouched again, held the" | | 5 | "She'd seen that pattern once" | | 6 | "Her jaw tightened." | | 7 | "She stood, turned her back" | | 8 | "He nodded, tucked the notebook" | | 9 | "She walked back to the" | | 10 | "She hadn't seen it before" | | 11 | "She couldn't reach it without" | | 12 | "She pulled the pen from" | | 13 | "She had seen this object" | | 14 | "She'd seen it in a" | | 15 | "Her hand drifted toward her" | | 16 | "Her face stayed in shadow." |
| | ratio | 0.258 | |
| 88.79% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 66 | | matches | | 0 | "The body lay in the" | | 1 | "Quinn crouched at its edge," | | 2 | "The victim, male, early thirties," | | 3 | "Salt, she thought at first." | | 4 | "DC Raines ducked under the" | | 5 | "Quinn liked him for that." | | 6 | "The circle described a perfect" | | 7 | "Something paler she didn't want" | | 8 | "The victim lay on his" | | 9 | "He flipped his notebook open," | | 10 | "Raines scratched the back of" | | 11 | "Raines glanced at the suit." | | 12 | "The signet ring on the" | | 13 | "Quinn didn't answer." | | 14 | "She walked the perimeter of" | | 15 | "Dust sat thick on the" | | 16 | "The cleaner's route tracked along" | | 17 | "Her own team had come" | | 18 | "None of them crossed the" | | 19 | "Raines blinked at the floor." |
| | ratio | 0.742 | |
| 75.76% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 66 | | matches | | 0 | "As though something had pressed" |
| | ratio | 0.015 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 29 | | tagDensity | 0.034 | | leniency | 0.069 | | rawRatio | 0 | | effectiveRatio | 0 | |