| 66.67% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 2 | | adverbTags | | 0 | "Eva gestured vaguely [vaguely]" | | 1 | "Eva said quietly [quietly]" |
| | dialogueSentences | 30 | | tagDensity | 0.433 | | leniency | 0.867 | | rawRatio | 0.154 | | effectiveRatio | 0.133 | |
| 76.08% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1254 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "very" | | 1 | "carefully" | | 2 | "slowly" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 80.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 48.17% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1254 | | totalAiIsms | 13 | | found | | 0 | | | 1 | | | 2 | | | 3 | | word | "the last thing" | | count | 1 |
| | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | |
| | highlights | | 0 | "echoing" | | 1 | "footsteps" | | 2 | "standard" | | 3 | "the last thing" | | 4 | "shattered" | | 5 | "traced" | | 6 | "etched" | | 7 | "structure" | | 8 | "stomach" | | 9 | "cataloged" | | 10 | "silence" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 72 | | matches | (empty) | |
| 43.65% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 3 | | narrationSentences | 72 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 89 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1240 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 21.96% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 781 | | uniqueNames | 11 | | maxNameDensity | 2.56 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Harlow | 1 | | Quinn | 20 | | Metropolitan | 1 | | Police | 1 | | Eva | 13 | | Kowalski | 1 | | Aurora | 1 | | Professional | 1 | | Morris | 2 | | Thornfield | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Police" | | 3 | "Eva" | | 4 | "Kowalski" | | 5 | "Morris" |
| | places | (empty) | | globalScore | 0.22 | | windowScore | 0.333 | |
| 57.41% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 2 | | matches | | 0 | "smelled like rust and time" | | 1 | "something like them" |
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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 | 1240 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 89 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 35.43 | | std | 21.37 | | cv | 0.603 | | sampleLengths | | 0 | 59 | | 1 | 59 | | 2 | 9 | | 3 | 56 | | 4 | 29 | | 5 | 33 | | 6 | 57 | | 7 | 76 | | 8 | 35 | | 9 | 16 | | 10 | 57 | | 11 | 8 | | 12 | 52 | | 13 | 8 | | 14 | 13 | | 15 | 57 | | 16 | 10 | | 17 | 30 | | 18 | 6 | | 19 | 47 | | 20 | 52 | | 21 | 26 | | 22 | 8 | | 23 | 75 | | 24 | 7 | | 25 | 35 | | 26 | 39 | | 27 | 60 | | 28 | 7 | | 29 | 27 | | 30 | 11 | | 31 | 50 | | 32 | 58 | | 33 | 31 | | 34 | 37 |
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| 80.90% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 72 | | matches | | 0 | "get called" | | 1 | "been told" | | 2 | "was tucked" | | 3 | "was orchestrated" | | 4 | "been answered" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 133 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 89 | | ratio | 0.112 | | matches | | 0 | "Her worn leather watch caught the beam of her torch—2:47 AM." | | 1 | "Quinn appreciated that about the younger generation—they understood discretion." | | 2 | "That she was here, that she'd orchestrated the police involvement—that required explanation." | | 3 | "The last thing she needed was a civilian—however well-intentioned—compromising an investigation." | | 4 | "No immediate signs of violence—no blood, no weapon, no obvious trauma." | | 5 | "She examined the man's hands carefully—clean nails, a gold wedding band, the cuff of an expensive shirt visible beneath his tailored jacket." | | 6 | "The younger woman pulled out a notebook from her satchel—actual paper, actual pen, no concessions to modernity." | | 7 | "Not scratched—drawn." | | 8 | "This was how these things worked—a victim nobody she knew, a location nobody official cared about, evidence that didn't fit the world as she understood it." | | 9 | "Her cop's mind cataloged everything: the precision of the marking, the placement of the body's hands—one across the chest, one at his side, both positioned with obvious care." |
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| 89.93% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 793 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.044136191677175286 | | lyAdverbCount | 22 | | lyAdverbRatio | 0.027742749054224466 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 89 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 89 | | mean | 13.93 | | std | 9.42 | | cv | 0.676 | | sampleLengths | | 0 | 9 | | 1 | 21 | | 2 | 11 | | 3 | 18 | | 4 | 14 | | 5 | 25 | | 6 | 11 | | 7 | 9 | | 8 | 9 | | 9 | 18 | | 10 | 13 | | 11 | 25 | | 12 | 16 | | 13 | 13 | | 14 | 3 | | 15 | 30 | | 16 | 8 | | 17 | 13 | | 18 | 10 | | 19 | 10 | | 20 | 12 | | 21 | 4 | | 22 | 38 | | 23 | 38 | | 24 | 16 | | 25 | 5 | | 26 | 14 | | 27 | 16 | | 28 | 4 | | 29 | 11 | | 30 | 11 | | 31 | 16 | | 32 | 15 | | 33 | 8 | | 34 | 19 | | 35 | 11 | | 36 | 6 | | 37 | 6 | | 38 | 10 | | 39 | 8 | | 40 | 13 | | 41 | 8 | | 42 | 7 | | 43 | 22 | | 44 | 14 | | 45 | 6 | | 46 | 5 | | 47 | 5 | | 48 | 8 | | 49 | 17 |
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| 71.54% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.449438202247191 | | totalSentences | 89 | | uniqueOpeners | 40 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 65 | | matches | | 0 | "Her worn leather watch caught" | | 1 | "They'd been told to secure" | | 2 | "She wore her characteristic worn" | | 3 | "Her left hand was tucked" | | 4 | "She'd worked with Eva before," | | 5 | "It was the same tone" | | 6 | "She turned back to examine" | | 7 | "His face was peaceful, almost" | | 8 | "she asked the nearest uniform" | | 9 | "She examined the man's hands" | | 10 | "She looked up at Eva." | | 11 | "She was meticulous that way." | | 12 | "She pointed to a faint" | | 13 | "She leaned closer, studying it." | | 14 | "She stood, her knees popping," | | 15 | "Her cop's mind cataloged everything:" | | 16 | "She thought of Morris, of" | | 17 | "She thought of all the" |
| | ratio | 0.277 | |
| 13.85% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 65 | | matches | | 0 | "The abandoned Tube station smelled" | | 1 | "Detective Harlow Quinn descended the" | | 2 | "Her worn leather watch caught" | | 3 | "The Metropolitan Police didn't usually" | | 4 | "The platform stretched before her" | | 5 | "They'd been told to secure" | | 6 | "Quinn appreciated that about the" | | 7 | "The redheaded woman stood to" | | 8 | "She wore her characteristic worn" | | 9 | "Her left hand was tucked" | | 10 | "Quinn said, her voice carrying" | | 11 | "Eva's eyes widened." | | 12 | "Quinn approached, her sharp jaw" | | 13 | "She'd worked with Eva before," | | 14 | "The woman was smart, meticulous," | | 15 | "That she'd called in a" | | 16 | "That she was here, that" | | 17 | "Eva gestured vaguely at the" | | 18 | "Quinn moved past her, careful" | | 19 | "Quinn wanted to argue." |
| | 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 | |
| 84.94% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 3 | | matches | | 0 | "Detective Harlow Quinn descended the crumbling concrete stairs, her shoes echoing against stone that hadn't known human footsteps in thirty years." | | 1 | "She'd worked with Eva before, tangentially, through cases that involved her friend Aurora." | | 2 | "She stood, her knees popping, and walked the perimeter of the ritual circle without stepping inside it." |
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| 86.54% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn approached, her sharp jaw tightening" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.267 | | leniency | 0.533 | | rawRatio | 0 | | effectiveRatio | 0 | |