| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 599 | | 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) | |
| 16.53% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 599 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "tracing" | | 1 | "etched" | | 2 | "pulsed" | | 3 | "gloom" | | 4 | "stomach" | | 5 | "perfect" | | 6 | "silence" | | 7 | "trembled" | | 8 | "weight" | | 9 | "racing" |
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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 | 57 | | matches | (empty) | |
| 17.54% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 4 | | hedgeCount | 1 | | narrationSentences | 57 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 66 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 595 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 37.98% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 491 | | uniqueNames | 5 | | maxNameDensity | 2.24 | | worstName | "Harlow" | | maxWindowNameDensity | 3 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 11 | | Morris | 1 | | Eva | 6 | | Camden | 1 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Morris" | | 2 | "Eva" | | 3 | "Camden" | | 4 | "Market" |
| | places | (empty) | | globalScore | 0.38 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 36 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 595 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 66 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 24.79 | | std | 14.94 | | cv | 0.603 | | sampleLengths | | 0 | 34 | | 1 | 15 | | 2 | 54 | | 3 | 24 | | 4 | 35 | | 5 | 8 | | 6 | 37 | | 7 | 29 | | 8 | 33 | | 9 | 13 | | 10 | 38 | | 11 | 13 | | 12 | 7 | | 13 | 36 | | 14 | 36 | | 15 | 16 | | 16 | 47 | | 17 | 9 | | 18 | 9 | | 19 | 18 | | 20 | 20 | | 21 | 53 | | 22 | 4 | | 23 | 7 |
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| 99.11% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 57 | | matches | | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 84 | | matches | | 0 | "wasn’t listening" | | 1 | "was watching" | | 2 | "was lying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 66 | | ratio | 0.076 | | matches | | 0 | "A pocket watch, military issue, dangled from the lapel—DS Morris’s watch." | | 1 | "The victim’s watch matched in every detail except one—the clasp." | | 2 | "Hers was tarnished silver; this one gleamed gold." | | 3 | "They were painted over an old service map—Camden’s abandoned lines marked in blood-red chalk." | | 4 | "The compass on the floor began to spin again, its needle jerking toward the signal post, then the ceiling, then the direction of the camera hole she’d spotted earlier—a surveillance lens half-hidden behind a frayed cable." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 498 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.03815261044176707 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.008032128514056224 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 66 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 66 | | mean | 9.02 | | std | 5.8 | | cv | 0.643 | | sampleLengths | | 0 | 18 | | 1 | 16 | | 2 | 13 | | 3 | 2 | | 4 | 5 | | 5 | 17 | | 6 | 20 | | 7 | 12 | | 8 | 4 | | 9 | 6 | | 10 | 11 | | 11 | 3 | | 12 | 10 | | 13 | 17 | | 14 | 8 | | 15 | 3 | | 16 | 5 | | 17 | 12 | | 18 | 11 | | 19 | 14 | | 20 | 4 | | 21 | 18 | | 22 | 3 | | 23 | 2 | | 24 | 1 | | 25 | 1 | | 26 | 15 | | 27 | 10 | | 28 | 8 | | 29 | 8 | | 30 | 5 | | 31 | 12 | | 32 | 13 | | 33 | 10 | | 34 | 3 | | 35 | 8 | | 36 | 5 | | 37 | 6 | | 38 | 1 | | 39 | 8 | | 40 | 9 | | 41 | 14 | | 42 | 5 | | 43 | 14 | | 44 | 13 | | 45 | 9 | | 46 | 5 | | 47 | 11 | | 48 | 5 | | 49 | 15 |
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| 62.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4393939393939394 | | totalSentences | 66 | | uniqueOpeners | 29 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 50 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 50 | | matches | | 0 | "she muttered, fingers tracing the" | | 1 | "She pried open the victim’s" | | 2 | "Her stomach clenched." | | 3 | "She pointed to the symbols" | | 4 | "She’d noticed something else: the" | | 5 | "She reached for her own" | | 6 | "Hers was tarnished silver; this" | | 7 | "Her voice cut through the" | | 8 | "They were painted over an" | | 9 | "Her partner’s watch." |
| | ratio | 0.2 | |
| 20.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 44 | | totalSentences | 50 | | matches | | 0 | "The brass casing of the" | | 1 | "Eva hissed behind her, the" | | 2 | "she muttered, fingers tracing the" | | 3 | "Harlow crouched, boots crunching glass." | | 4 | "The victim’s body lay sprawled" | | 5 | "Ritual chalk circles snaked from" | | 6 | "The smell of copper clung" | | 7 | "She pried open the victim’s" | | 8 | "A pocket watch, military issue," | | 9 | "Her stomach clenched." | | 10 | "Eva knelt beside the body," | | 11 | "She pointed to the symbols" | | 12 | "Harlow’s jaw tightened." | | 13 | "The needle stilled, quivering toward" | | 14 | "Eva said, rising abruptly" | | 15 | "She’d noticed something else: the" | | 16 | "She reached for her own" | | 17 | "The victim’s watch matched in" | | 18 | "Hers was tarnished silver; this" | | 19 | "Her voice cut through the" |
| | ratio | 0.88 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 50 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 1 | | matches | | 0 | "The brass casing of the compass glinted wetly under Harlow’s flashlight, its needle spinning like a broken clock." |
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| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 1 | | matches | | 0 | "she muttered, fingers tracing the sigils etched into the compass face" |
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| 38.89% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "Eva whispered (whisper)" |
| | dialogueSentences | 18 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.333 | | effectiveRatio | 0.222 | |