| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 1 | | adverbTags | | 0 | "She pointed back [back]" |
| | dialogueSentences | 9 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.333 | | effectiveRatio | 0.222 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1135 | | 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) | |
| 51.54% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1135 | | totalAiIsms | 11 | | found | | 0 | | word | "practiced ease" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | |
| | highlights | | 0 | "practiced ease" | | 1 | "streaming" | | 2 | "jaw clenched" | | 3 | "scanning" | | 4 | "footsteps" | | 5 | "echoed" | | 6 | "dancing" | | 7 | "glinting" | | 8 | "warmth" | | 9 | "weight" | | 10 | "complex" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 65 | | matches | (empty) | |
| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 5 | | narrationSentences | 65 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "appeared to" | | 2 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 71 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1122 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 87.62% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 1042 | | uniqueNames | 14 | | maxNameDensity | 1.25 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | London | 3 | | Harlow | 1 | | Quinn | 13 | | Raven | 2 | | Nest | 2 | | Victorian | 1 | | Morris | 4 | | Camden | 2 | | High | 1 | | Street | 1 | | Underground | 1 | | Tube | 1 | | Metropolitan | 1 | | Police | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Morris" |
| | places | | 0 | "London" | | 1 | "Camden" | | 2 | "High" | | 3 | "Street" |
| | globalScore | 0.876 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 5 | | matches | | 0 | "hand against a seemingly random section of t" | | 1 | "felt like hours but could only have bee" | | 2 | "jewelry that seemed to move on its own" | | 3 | "felt like a fox that had wandered into" | | 4 | "sounded like grinding glass" |
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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 | 1122 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 71 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 38.69 | | std | 20.09 | | cv | 0.519 | | sampleLengths | | 0 | 53 | | 1 | 57 | | 2 | 4 | | 3 | 73 | | 4 | 5 | | 5 | 50 | | 6 | 17 | | 7 | 18 | | 8 | 46 | | 9 | 63 | | 10 | 43 | | 11 | 7 | | 12 | 57 | | 13 | 10 | | 14 | 36 | | 15 | 58 | | 16 | 50 | | 17 | 60 | | 18 | 58 | | 19 | 48 | | 20 | 48 | | 21 | 53 | | 22 | 26 | | 23 | 30 | | 24 | 24 | | 25 | 6 | | 26 | 22 | | 27 | 46 | | 28 | 54 |
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| 78.27% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 65 | | matches | | 0 | "been spotted" | | 1 | "been converted" | | 2 | "was hidden" | | 3 | "were filed" | | 4 | "was, represented" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 183 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 71 | | ratio | 0.113 | | matches | | 0 | "Her suspect—a wiry man in a dark coat—glanced over his shoulder before vaulting over a chain-link fence with practiced ease." | | 1 | "This part of Camden felt different after midnight—older somehow, as if the modern city had peeled back to reveal something more ancient underneath." | | 2 | "He reached what appeared to be a dead end—a brick wall covered in layers of flyposters and street art." | | 3 | "The air smelled of rust and something else—something organic that made her think of old bones." | | 4 | "The vendors were as strange as their merchandise—some appeared human enough, while others made her eyes water to look at directly." | | 5 | "A woman approached from her left—elderly, wearing layers of shawls despite the underground warmth." | | 6 | "She counted exits—three tunnels leading deeper into the station complex, plus the way she'd come." | | 7 | "The package he'd purchased, the strange vendors, the impossible door in the wall—it all connected to the world she'd been trying to understand since Morris disappeared." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 90 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 1 | | adverbRatio | 0.011111111111111112 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 71 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 71 | | mean | 15.8 | | std | 6.32 | | cv | 0.4 | | sampleLengths | | 0 | 15 | | 1 | 20 | | 2 | 18 | | 3 | 20 | | 4 | 21 | | 5 | 16 | | 6 | 4 | | 7 | 13 | | 8 | 22 | | 9 | 38 | | 10 | 5 | | 11 | 23 | | 12 | 17 | | 13 | 10 | | 14 | 17 | | 15 | 12 | | 16 | 6 | | 17 | 18 | | 18 | 28 | | 19 | 21 | | 20 | 23 | | 21 | 19 | | 22 | 13 | | 23 | 13 | | 24 | 12 | | 25 | 5 | | 26 | 7 | | 27 | 19 | | 28 | 7 | | 29 | 10 | | 30 | 21 | | 31 | 10 | | 32 | 14 | | 33 | 22 | | 34 | 13 | | 35 | 11 | | 36 | 18 | | 37 | 16 | | 38 | 10 | | 39 | 15 | | 40 | 8 | | 41 | 17 | | 42 | 23 | | 43 | 12 | | 44 | 25 | | 45 | 12 | | 46 | 25 | | 47 | 21 | | 48 | 25 | | 49 | 23 |
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| 62.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4084507042253521 | | totalSentences | 71 | | uniqueOpeners | 29 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 65 | | matches | | 0 | "Always came back to Morris." | | 1 | "Then he did something that" |
| | ratio | 0.031 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 65 | | matches | | 0 | "Her suspect—a wiry man in" | | 1 | "Her worn leather watch caught" | | 2 | "Her suspect wove between them," | | 3 | "she called to a girl" | | 4 | "She caught sight of her" | | 5 | "He freed himself and continued" | | 6 | "She was closing the distance." | | 7 | "He reached what appeared to" | | 8 | "He pressed his hand against" | | 9 | "She found herself in a" | | 10 | "Her suspect's footsteps echoed ahead," | | 11 | "She passed rusted pipes and" | | 12 | "It was an abandoned Tube" | | 13 | "She saw bottles filled with" | | 14 | "Her suspect stood at a" | | 15 | "She felt like a fox" | | 16 | "She pointed back toward the" | | 17 | "She counted exits—three tunnels leading" | | 18 | "Her suspect had vanished somewhere" |
| | ratio | 0.292 | |
| 13.85% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 65 | | matches | | 0 | "Detective Harlow Quinn's boots splashed" | | 1 | "The distinctive green glow of" | | 2 | "Her suspect—a wiry man in" | | 3 | "Quinn cursed under her breath," | | 4 | "Her worn leather watch caught" | | 5 | "The man ignored her command," | | 6 | "Quinn's sharp jaw clenched as" | | 7 | "The alley opened onto Camden" | | 8 | "Her suspect wove between them," | | 9 | "Quinn followed, her brown eyes" | | 10 | "she called to a girl" | | 11 | "The girl pointed north with" | | 12 | "Quinn nodded her thanks and" | | 13 | "The rain had driven most" | | 14 | "She caught sight of her" | | 15 | "This part of Camden felt" | | 16 | "The feeling reminded her uncomfortably" | | 17 | "The man ahead stumbled, his" | | 18 | "Quinn gained ground, close enough" | | 19 | "He freed himself and continued" |
| | ratio | 0.892 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 79.08% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 56 | | technicalSentenceCount | 5 | | matches | | 0 | "Her suspect wove between them, knocking aside a group of tourists who scattered with shouts of protest." | | 1 | "This part of Camden felt different after midnight—older somehow, as if the modern city had peeled back to reveal something more ancient underneath." | | 2 | "Then he did something that made her blood run cold." | | 3 | "The platforms had been converted into a sprawling market, lit by hundreds of mismatched lanterns and candles that cast dancing shadows on the curved ceiling." | | 4 | "The organic smell from the tunnel had grown stronger here, mixed with incense and something that reminded her of ozone before a thunderstorm." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 9 | | tagDensity | 0.111 | | leniency | 0.222 | | rawRatio | 0 | | effectiveRatio | 0 | |