| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 33 | | tagDensity | 0.424 | | leniency | 0.848 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.31% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1182 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | |
| 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) | |
| 57.70% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1182 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "treacherous" | | 1 | "efficient" | | 2 | "streaming" | | 3 | "navigate" | | 4 | "flicked" | | 5 | "flicker" | | 6 | "resonance" | | 7 | "racing" | | 8 | "flickered" | | 9 | "grave" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "flicker of emotion" | | count | 1 |
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| | highlights | | 0 | "A flicker of recognition" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 83 | | matches | (empty) | |
| 56.80% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 83 | | 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 | 101 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1161 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 55 | | wordCount | 935 | | uniqueNames | 20 | | maxNameDensity | 1.93 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Tomás" | | discoveredNames | | London | 2 | | Harlow | 1 | | Quinn | 18 | | Raven | 3 | | Nest | 3 | | Soho | 1 | | Camden | 1 | | High | 1 | | Street | 1 | | Morris | 3 | | Tube | 1 | | Transport | 1 | | Veil | 1 | | Market | 2 | | Herrera | 1 | | Saint | 1 | | Christopher | 1 | | Spanish | 1 | | Tomás | 11 | | Thunder | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Morris" | | 4 | "Market" | | 5 | "Herrera" | | 6 | "Saint" | | 7 | "Christopher" | | 8 | "Tomás" | | 9 | "Thunder" |
| | places | | 0 | "London" | | 1 | "Soho" | | 2 | "Camden" | | 3 | "High" | | 4 | "Street" |
| | globalScore | 0.537 | | windowScore | 0.5 | |
| 42.86% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 70 | | glossingSentenceCount | 3 | | matches | | 0 | "seemed older more deliberate, with repeating patterns that made her eyes strain to follow them" | | 1 | "skin that seemed to shift in color as they moved" | | 2 | "looked like genuine regret" |
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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 | 1161 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 101 | | matches | | 0 | "learned that lesson" | | 1 | "screamed that this" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 26.39 | | std | 15.34 | | cv | 0.581 | | sampleLengths | | 0 | 64 | | 1 | 49 | | 2 | 9 | | 3 | 51 | | 4 | 37 | | 5 | 50 | | 6 | 36 | | 7 | 44 | | 8 | 48 | | 9 | 44 | | 10 | 43 | | 11 | 32 | | 12 | 46 | | 13 | 6 | | 14 | 27 | | 15 | 12 | | 16 | 19 | | 17 | 37 | | 18 | 13 | | 19 | 25 | | 20 | 32 | | 21 | 28 | | 22 | 8 | | 23 | 15 | | 24 | 16 | | 25 | 5 | | 26 | 25 | | 27 | 8 | | 28 | 30 | | 29 | 7 | | 30 | 21 | | 31 | 30 | | 32 | 47 | | 33 | 6 | | 34 | 24 | | 35 | 23 | | 36 | 8 | | 37 | 37 | | 38 | 8 | | 39 | 28 | | 40 | 17 | | 41 | 17 | | 42 | 20 | | 43 | 9 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 83 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 166 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 15 | | semicolonCount | 2 | | flaggedSentences | 12 | | totalSentences | 101 | | ratio | 0.119 | | matches | | 0 | "The city's underbelly harbored secrets—impossible secrets—and this chase might finally lead her to answers." | | 1 | "This wasn't an official station anymore; Transport for London had shuttered it decades ago." | | 2 | "Quinn checked her watch—the worn leather band dark with rain—and noted the time." | | 3 | "She'd heard whispers about it during her investigation—an underground black market that supposedly catered to..." | | 4 | "People browsed the stalls—if \"people\" was the right word." | | 5 | "One stall displayed vials of luminescent liquids; another sold what appeared to be dried animal parts—though from no animals she could identify." | | 6 | "On paper, he was just another medical professional who'd lost his license—for \"unorthodox practices,\" the report had said." | | 7 | "Tomás's expression remained neutral, but his eyes—warm brown and too knowing—flicked to something behind her." | | 8 | "\"Morris. I remember him.\" He touched the scar on his left forearm—a nervous habit Quinn had noted during their previous meeting." | | 9 | "\"Last warning, Detective.\" Tomás pulled something from his pocket—a small object that appeared to be carved from bone." | | 10 | "The rational part of her brain screamed that this was absurd—underground markets didn't simply vanish, and tokens carved from bone weren't magical passports." | | 11 | "He was speaking with someone—or something—obscured in shadow." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 953 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.03987408184679958 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.013641133263378805 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 101 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 101 | | mean | 11.5 | | std | 5.85 | | cv | 0.509 | | sampleLengths | | 0 | 15 | | 1 | 23 | | 2 | 26 | | 3 | 11 | | 4 | 22 | | 5 | 16 | | 6 | 9 | | 7 | 6 | | 8 | 11 | | 9 | 13 | | 10 | 12 | | 11 | 9 | | 12 | 11 | | 13 | 12 | | 14 | 14 | | 15 | 20 | | 16 | 10 | | 17 | 6 | | 18 | 14 | | 19 | 13 | | 20 | 13 | | 21 | 10 | | 22 | 15 | | 23 | 12 | | 24 | 17 | | 25 | 15 | | 26 | 6 | | 27 | 12 | | 28 | 15 | | 29 | 3 | | 30 | 15 | | 31 | 1 | | 32 | 25 | | 33 | 9 | | 34 | 34 | | 35 | 8 | | 36 | 13 | | 37 | 11 | | 38 | 15 | | 39 | 9 | | 40 | 22 | | 41 | 6 | | 42 | 8 | | 43 | 10 | | 44 | 9 | | 45 | 6 | | 46 | 6 | | 47 | 12 | | 48 | 7 | | 49 | 6 |
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| 70.30% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.44554455445544555 | | totalSentences | 101 | | uniqueOpeners | 45 | |
| 84.39% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 79 | | matches | | 0 | "Instead, the space hummed with" | | 1 | "Instead of answering, he grasped" |
| | ratio | 0.025 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 79 | | matches | | 0 | "She'd been watching The Raven's" | | 1 | "she shouted, knowing it was" | | 2 | "She wiped it away with" | | 3 | "She paused at the top," | | 4 | "She'd learned that lesson after" | | 5 | "She'd heard whispers about it" | | 6 | "She moved deeper into the" | | 7 | "His Saint Christopher medallion gleamed" | | 8 | "She kept her voice level" | | 9 | "His Spanish accent lilted through" | | 10 | "She studied his face" | | 11 | "He touched the scar on" | | 12 | "He was speaking with someone—or" | | 13 | "She reached for the token." |
| | ratio | 0.177 | |
| 48.61% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 79 | | matches | | 0 | "Detective Harlow Quinn's boots splashed" | | 1 | "The suspect had bolted from" | | 2 | "Quinn kept pace, her military" | | 3 | "She'd been watching The Raven's" | | 4 | "Tonight's surveillance had paid off" | | 5 | "she shouted, knowing it was" | | 6 | "The figure darted down an" | | 7 | "Quinn followed, water streaming from" | | 8 | "She wiped it away with" | | 9 | "The alley opened onto Camden" | | 10 | "The suspect shoved through late-night" | | 11 | "Quinn tracked the dark hoodie" | | 12 | "The city's underbelly harbored secrets—impossible" | | 13 | "The suspect veered suddenly, descending" | | 14 | "She paused at the top," | | 15 | "This wasn't an official station" | | 16 | "Quinn checked her watch—the worn" | | 17 | "She'd learned that lesson after" | | 18 | "The stairwell was poorly lit," | | 19 | "Graffiti covered the walls, but" |
| | ratio | 0.823 | |
| 63.29% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 79 | | matches | | 0 | "If she disappeared, at least" |
| | ratio | 0.013 | |
| 79.37% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 4 | | matches | | 0 | "These symbols seemed older, more deliberate, with repeating patterns that made her eyes strain to follow them." | | 1 | "Criminals was the obvious answer, but the informants had hinted at something else, something that made them lower their voices and check over their shoulders." | | 2 | "Most looked human at first glance, but details jarred on closer inspection: eyes that reflected light like animals, fingers too long or too numerous, skin that …" | | 3 | "A wind that shouldn't exist underground began to swirl through the station, carrying strange whispers." |
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| 89.29% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 1 | | matches | | 0 | "Tomás murmured, more to himself than to her" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 5 | | fancyTags | | 0 | "she shouted (shout)" | | 1 | "Tomás murmured (murmur)" | | 2 | "she demanded (demand)" | | 3 | "Tomás urged (urge)" | | 4 | "Tomás agreed (agree)" |
| | dialogueSentences | 33 | | tagDensity | 0.152 | | leniency | 0.303 | | rawRatio | 1 | | effectiveRatio | 0.303 | |