| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 40 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 81.08% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1057 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "reluctantly" | | count | 1 |
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| | highlights | | 0 | "carefully" | | 1 | "very" | | 2 | "slightly" | | 3 | "reluctantly" |
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| 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) | |
| 100.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1057 | | totalAiIsms | 0 | | found | (empty) | | highlights | (empty) | |
| 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 | 50 | | matches | (empty) | |
| 85.71% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 50 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 56 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1057 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 97.92% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 576 | | uniqueNames | 6 | | maxNameDensity | 1.04 | | worstName | "Pryce" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Town | 1 | | Quinn | 5 | | Doyle | 1 | | Gavin | 1 | | Pryce | 6 |
| | persons | | 0 | "Quinn" | | 1 | "Doyle" | | 2 | "Gavin" | | 3 | "Pryce" |
| | places | | | globalScore | 0.979 | | windowScore | 1 | |
| 80.56% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 36 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1057 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 78 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 27.82 | | std | 24.37 | | cv | 0.876 | | sampleLengths | | 0 | 53 | | 1 | 39 | | 2 | 17 | | 3 | 19 | | 4 | 5 | | 5 | 15 | | 6 | 63 | | 7 | 43 | | 8 | 12 | | 9 | 4 | | 10 | 75 | | 11 | 51 | | 12 | 4 | | 13 | 1 | | 14 | 33 | | 15 | 9 | | 16 | 18 | | 17 | 14 | | 18 | 63 | | 19 | 13 | | 20 | 37 | | 21 | 3 | | 22 | 6 | | 23 | 51 | | 24 | 7 | | 25 | 79 | | 26 | 5 | | 27 | 4 | | 28 | 13 | | 29 | 14 | | 30 | 69 | | 31 | 51 | | 32 | 6 | | 33 | 7 | | 34 | 56 | | 35 | 4 | | 36 | 69 | | 37 | 25 |
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| 84.21% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 50 | | matches | | 0 | "been called" | | 1 | "been repointed" | | 2 | "been disturbed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 94 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 78 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 576 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.036458333333333336 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.008680555555555556 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 13.55 | | std | 10.97 | | cv | 0.809 | | sampleLengths | | 0 | 15 | | 1 | 24 | | 2 | 6 | | 3 | 8 | | 4 | 19 | | 5 | 20 | | 6 | 14 | | 7 | 3 | | 8 | 19 | | 9 | 5 | | 10 | 15 | | 11 | 8 | | 12 | 19 | | 13 | 2 | | 14 | 1 | | 15 | 33 | | 16 | 23 | | 17 | 20 | | 18 | 12 | | 19 | 4 | | 20 | 29 | | 21 | 46 | | 22 | 12 | | 23 | 14 | | 24 | 9 | | 25 | 16 | | 26 | 4 | | 27 | 1 | | 28 | 33 | | 29 | 2 | | 30 | 7 | | 31 | 14 | | 32 | 4 | | 33 | 14 | | 34 | 56 | | 35 | 7 | | 36 | 4 | | 37 | 9 | | 38 | 32 | | 39 | 5 | | 40 | 3 | | 41 | 6 | | 42 | 7 | | 43 | 18 | | 44 | 19 | | 45 | 3 | | 46 | 4 | | 47 | 7 | | 48 | 15 | | 49 | 25 |
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| 89.32% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.5897435897435898 | | totalSentences | 78 | | uniqueOpeners | 46 | |
| 75.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 44 | | matches | | 0 | "Somewhere deep in the tunnel," |
| | ratio | 0.023 | |
| 47.27% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 44 | | matches | | 0 | "Her breath hung in front" | | 1 | "He had the rumpled look" | | 2 | "He nodded at the swept" | | 3 | "His face had gone the" | | 4 | "She let her gaze travel" | | 5 | "She pointed at a line" | | 6 | "She tilted her head" | | 7 | "He stepped to the edge" | | 8 | "He crouched near the dead" | | 9 | "She ignored it and turned" | | 10 | "It sat fixed, quivering very" | | 11 | "She stood and walked to" | | 12 | "She raised her wrist." | | 13 | "Her father's watch had never" | | 14 | "She had replaced the battery" | | 15 | "She didn't look at it" | | 16 | "He came over, reluctantly." | | 17 | "She glanced at the circle" | | 18 | "She pointed at the mortar" |
| | ratio | 0.432 | |
| 16.82% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 39 | | totalSentences | 44 | | matches | | 0 | "The Camden Town platform had" | | 1 | "Harlow Quinn stepped off the" | | 2 | "Water dripped somewhere behind the" | | 3 | "Her breath hung in front" | | 4 | "Quinn pulled on fresh nitrile" | | 5 | "Quinn walked toward the centre" | | 6 | "The tiles had once been" | | 7 | "The grime at the edges" | | 8 | "He had the rumpled look" | | 9 | "He nodded at the swept" | | 10 | "Quinn crouched at the edge" | | 11 | "The body lay with arms" | | 12 | "His face had gone the" | | 13 | "She let her gaze travel" | | 14 | "She pointed at a line" | | 15 | "Pryce lowered his cup." | | 16 | "She tilted her head" | | 17 | "Pryce had the decency to" | | 18 | "He stepped to the edge" | | 19 | "He crouched near the dead" |
| | ratio | 0.886 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 44 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 20 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 83.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 1 | | matches | | 0 | "Uniformed constable Doyle held, the beam trembling a little on the curved ceiling" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 40 | | tagDensity | 0.075 | | leniency | 0.15 | | rawRatio | 0.333 | | effectiveRatio | 0.05 | |