| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 33 | | tagDensity | 0.364 | | leniency | 0.727 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 70.10% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 669 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slowly" | | 1 | "tightly" | | 2 | "carefully" | | 3 | "softly" |
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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) | |
| 10.31% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 669 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "etched" | | 1 | "reminder" | | 2 | "quivered" | | 3 | "eyebrow" | | 4 | "racing" | | 5 | "tinged" | | 6 | "raced" | | 7 | "quickened" | | 8 | "determined" |
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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 | 48 | | matches | (empty) | |
| 83.33% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 48 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 69 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 668 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 431 | | uniqueNames | 8 | | maxNameDensity | 3.94 | | worstName | "Quinn" | | maxWindowNameDensity | 5 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 17 | | Camden | 1 | | Davies | 14 | | Multiple | 1 | | Veil | 3 | | Market | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Davies" | | 3 | "Multiple" | | 4 | "Market" |
| | places | (empty) | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 33 | | 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 | 668 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 69 | | matches | (empty) | |
| 88.98% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 23.86 | | std | 11.01 | | cv | 0.461 | | sampleLengths | | 0 | 17 | | 1 | 51 | | 2 | 31 | | 3 | 22 | | 4 | 31 | | 5 | 25 | | 6 | 12 | | 7 | 27 | | 8 | 32 | | 9 | 12 | | 10 | 30 | | 11 | 15 | | 12 | 52 | | 13 | 18 | | 14 | 17 | | 15 | 17 | | 16 | 31 | | 17 | 20 | | 18 | 17 | | 19 | 11 | | 20 | 18 | | 21 | 11 | | 22 | 12 | | 23 | 18 | | 24 | 24 | | 25 | 20 | | 26 | 41 | | 27 | 36 |
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| 90.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 48 | | matches | | 0 | "was clutched" | | 1 | "was determined" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 81 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 69 | | ratio | 0.014 | | matches | | 0 | "The victim lay sprawled in the narrow alley, surrounded by the detritus of urban life—discarded newspapers, a broken umbrella, and the faint smell of rotting food." |
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| 99.31% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 432 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 13 | | adverbRatio | 0.03009259259259259 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.020833333333333332 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 69 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 69 | | mean | 9.68 | | std | 5.3 | | cv | 0.547 | | sampleLengths | | 0 | 13 | | 1 | 4 | | 2 | 13 | | 3 | 26 | | 4 | 12 | | 5 | 16 | | 6 | 13 | | 7 | 2 | | 8 | 11 | | 9 | 9 | | 10 | 2 | | 11 | 12 | | 12 | 19 | | 13 | 7 | | 14 | 13 | | 15 | 2 | | 16 | 3 | | 17 | 6 | | 18 | 6 | | 19 | 2 | | 20 | 19 | | 21 | 6 | | 22 | 12 | | 23 | 11 | | 24 | 4 | | 25 | 5 | | 26 | 4 | | 27 | 8 | | 28 | 7 | | 29 | 14 | | 30 | 9 | | 31 | 5 | | 32 | 10 | | 33 | 8 | | 34 | 17 | | 35 | 13 | | 36 | 14 | | 37 | 18 | | 38 | 5 | | 39 | 12 | | 40 | 11 | | 41 | 6 | | 42 | 3 | | 43 | 21 | | 44 | 7 | | 45 | 7 | | 46 | 6 | | 47 | 7 | | 48 | 7 | | 49 | 10 |
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| 84.54% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.5072463768115942 | | totalSentences | 69 | | uniqueOpeners | 35 | |
| 75.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 44 | | matches | | | ratio | 0.023 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 7 | | totalSentences | 44 | | matches | | 0 | "Her worn leather watch ticked" | | 1 | "It was from an occult" | | 2 | "he said, glancing at Quinn" | | 3 | "He gestured to the heavy" | | 4 | "He handed her a small" | | 5 | "She pointed to the victim's" | | 6 | "he said, his voice low" |
| | ratio | 0.159 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 41 | | totalSentences | 44 | | matches | | 0 | "Davies snapped photos of the" | | 1 | "Detective Harlow Quinn crouched beside" | | 2 | "The victim lay sprawled in" | | 3 | "Her worn leather watch ticked" | | 4 | "Quinn muttered, picking up a" | | 5 | "It was from an occult" | | 6 | "Davies, her colleague, continued his" | | 7 | "he said, glancing at Quinn" | | 8 | "Quinn pointed to the nearest" | | 9 | "Davies chuckled, but his eyes" | | 10 | "He gestured to the heavy" | | 11 | "Quinn stood, brushing off her" | | 12 | "He handed her a small" | | 13 | "Quinn examined the compass, noting" | | 14 | "The needle quivered, pointing towards" | | 15 | "Davies raised an eyebrow." | | 16 | "Quinn replied, her mind racing" | | 17 | "The Veil Market moved locations" | | 18 | "Davies nodded, his expression thoughtful." | | 19 | "Quinn turned her attention back" |
| | ratio | 0.932 | |
| 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 | 15 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 4 | | matches | | 0 | "He handed, its casing marked with verdigris" | | 1 | "Quinn replied, her mind racing" | | 2 | "Quinn said, more to herself than to Davies" | | 3 | "he said, his voice low" |
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| 59.09% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 3 | | fancyTags | | 0 | "Davies snapped (snap)" | | 1 | "Quinn muttered (mutter)" | | 2 | "she murmured (murmur)" |
| | dialogueSentences | 33 | | tagDensity | 0.242 | | leniency | 0.485 | | rawRatio | 0.375 | | effectiveRatio | 0.182 | |