| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 2 | | adverbTags | | 0 | "Quinn turned back [back]" | | 1 | "Quinn glanced back [back]" |
| | dialogueSentences | 52 | | tagDensity | 0.462 | | leniency | 0.923 | | rawRatio | 0.083 | | effectiveRatio | 0.077 | |
| 95.16% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1034 | | 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) | |
| 37.14% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1034 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "dancing" | | 1 | "weight" | | 2 | "silence" | | 3 | "gloom" | | 4 | "traced" | | 5 | "etched" | | 6 | "vibrated" | | 7 | "familiar" | | 8 | "echoed" | | 9 | "depths" | | 10 | "flickered" |
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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 | 102 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 102 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 130 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 22 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1032 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 741 | | uniqueNames | 6 | | maxNameDensity | 2.56 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Miller" | | discoveredNames | | Quinn | 19 | | Camden | 1 | | Tube | 1 | | Miller | 15 | | Morris | 1 | | Rubble | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Miller" | | 2 | "Morris" |
| | places | (empty) | | globalScore | 0.218 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like grinding stones" |
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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 | 1032 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 130 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 25.17 | | std | 15.73 | | cv | 0.625 | | sampleLengths | | 0 | 50 | | 1 | 32 | | 2 | 51 | | 3 | 14 | | 4 | 27 | | 5 | 51 | | 6 | 26 | | 7 | 51 | | 8 | 16 | | 9 | 55 | | 10 | 11 | | 11 | 26 | | 12 | 18 | | 13 | 42 | | 14 | 21 | | 15 | 40 | | 16 | 12 | | 17 | 36 | | 18 | 15 | | 19 | 39 | | 20 | 1 | | 21 | 23 | | 22 | 28 | | 23 | 15 | | 24 | 34 | | 25 | 23 | | 26 | 16 | | 27 | 4 | | 28 | 34 | | 29 | 12 | | 30 | 54 | | 31 | 28 | | 32 | 9 | | 33 | 40 | | 34 | 1 | | 35 | 1 | | 36 | 26 | | 37 | 27 | | 38 | 9 | | 39 | 11 | | 40 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 102 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 126 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 130 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 743 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.02826379542395693 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.009421265141318977 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 130 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 130 | | mean | 7.94 | | std | 4.44 | | cv | 0.56 | | sampleLengths | | 0 | 16 | | 1 | 19 | | 2 | 5 | | 3 | 1 | | 4 | 1 | | 5 | 8 | | 6 | 20 | | 7 | 12 | | 8 | 3 | | 9 | 10 | | 10 | 12 | | 11 | 6 | | 12 | 5 | | 13 | 15 | | 14 | 12 | | 15 | 2 | | 16 | 16 | | 17 | 11 | | 18 | 12 | | 19 | 11 | | 20 | 8 | | 21 | 15 | | 22 | 5 | | 23 | 20 | | 24 | 6 | | 25 | 8 | | 26 | 13 | | 27 | 5 | | 28 | 7 | | 29 | 3 | | 30 | 11 | | 31 | 4 | | 32 | 9 | | 33 | 7 | | 34 | 10 | | 35 | 4 | | 36 | 12 | | 37 | 5 | | 38 | 8 | | 39 | 4 | | 40 | 12 | | 41 | 6 | | 42 | 5 | | 43 | 8 | | 44 | 5 | | 45 | 9 | | 46 | 4 | | 47 | 11 | | 48 | 7 | | 49 | 15 |
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| 73.59% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.46923076923076923 | | totalSentences | 130 | | uniqueOpeners | 61 | |
| 35.84% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 93 | | matches | | 0 | "Only Quinn's light remained, cutting" |
| | ratio | 0.011 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 93 | | matches | | 0 | "She pulled her worn leather" | | 1 | "She leaned closer to the" | | 2 | "She stood up, brushing dirt" | | 3 | "Her salt-and-pepper hair caught the" | | 4 | "She remembered the file on" | | 5 | "She tightened her jaw." | | 6 | "She knelt again, reaching into" | | 7 | "He clutched something tight." | | 8 | "She pried the fingers back." | | 9 | "It spun lazily, then snapped" | | 10 | "Her breath plumed in the" | | 11 | "She stopped at the edge" | | 12 | "He rummaged through the dead" | | 13 | "He pulled out a small," | | 14 | "He held it up to" | | 15 | "She stared into the tunnel." | | 16 | "She moved forward, keeping the" | | 17 | "It carried ash." | | 18 | "She spun around." | | 19 | "It stood taller than a" |
| | ratio | 0.226 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 89 | | totalSentences | 93 | | matches | | 0 | "The camera flash popped like" | | 1 | "Harlow Quinn crouched over the" | | 2 | "The smell hit her first." | | 3 | "Something sweet and rotting beneath" | | 4 | "DC Miller stood behind the" | | 5 | "Quinn ignored him." | | 6 | "She pulled her worn leather" | | 7 | "The hands ticked steadily, a" | | 8 | "She leaned closer to the" | | 9 | "A young man, early twenties." | | 10 | "Quinn pointed a gloved finger" | | 11 | "Miller stepped closer, his torch" | | 12 | "Quinn traced the air above" | | 13 | "The smell of ozone strengthened," | | 14 | "She stood up, brushing dirt" | | 15 | "Her salt-and-pepper hair caught the" | | 16 | "Miller checked his notebook, the" | | 17 | "Quinn walked toward the edge" | | 18 | "The tracks disappeared into a" | | 19 | "The darkness felt heavy, pressurised." |
| | ratio | 0.957 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 93 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 83.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 2 | | matches | | 0 | "Miller stepped, his torch beam cutting through the gloom" | | 1 | "Miller checked, the pages fluttering in the draft from the tunnel" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |