| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 1 | | adverbTags | | 0 | "Herrera asked quietly [quietly]" |
| | dialogueSentences | 33 | | tagDensity | 0.424 | | leniency | 0.848 | | rawRatio | 0.071 | | effectiveRatio | 0.061 | |
| 87.68% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1623 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slightly" | | 1 | "cautiously" | | 2 | "completely" | | 3 | "really" |
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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) | |
| 69.19% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1623 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "flickered" | | 1 | "scanned" | | 2 | "footsteps" | | 3 | "echoed" | | 4 | "measured" | | 5 | "glinting" | | 6 | "navigate" | | 7 | "kaleidoscope" | | 8 | "chill" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "sent a shiver through" | | count | 1 |
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| | highlights | | 0 | "eyes narrowed" | | 1 | "sent a chill down" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 118 | | matches | | |
| 70.22% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 5 | | narrationSentences | 118 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "appeared to" | | 2 | "began to" | | 3 | "happened to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 137 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1604 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 60 | | wordCount | 1337 | | uniqueNames | 15 | | maxNameDensity | 2.17 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Raven | 1 | | Nest | 1 | | Northern | 1 | | Hendon | 1 | | Camden | 1 | | Morris | 4 | | Quinn | 29 | | London | 4 | | Saint | 1 | | Christopher | 1 | | Spanish | 1 | | English | 1 | | Rook | 2 | | Herrera | 11 |
| | persons | | 0 | "Morris" | | 1 | "Quinn" | | 2 | "Saint" | | 3 | "Christopher" | | 4 | "English" | | 5 | "Herrera" |
| | places | | 0 | "Soho" | | 1 | "Raven" | | 2 | "Northern" | | 3 | "Hendon" | | 4 | "Camden" | | 5 | "London" | | 6 | "Rook" |
| | globalScore | 0.415 | | windowScore | 0.167 | |
| 41.30% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 92 | | glossingSentenceCount | 4 | | matches | | 0 | "looked like an abandoned platform—one of" | | 1 | "jewelry that seemed to change shape, creatures that resembled nothing she'd ever seen in any zoology textbook" | | 2 | "felt like the ground had shifted beneat" | | 3 | "seemed impossibly distant now, as if she'd stepped through a door into another reality entirely" |
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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 | 1604 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 137 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 34.87 | | std | 18.85 | | cv | 0.541 | | sampleLengths | | 0 | 34 | | 1 | 14 | | 2 | 56 | | 3 | 62 | | 4 | 48 | | 5 | 19 | | 6 | 42 | | 7 | 36 | | 8 | 41 | | 9 | 72 | | 10 | 44 | | 11 | 38 | | 12 | 49 | | 13 | 69 | | 14 | 44 | | 15 | 56 | | 16 | 56 | | 17 | 17 | | 18 | 65 | | 19 | 73 | | 20 | 37 | | 21 | 6 | | 22 | 43 | | 23 | 19 | | 24 | 8 | | 25 | 24 | | 26 | 10 | | 27 | 38 | | 28 | 17 | | 29 | 33 | | 30 | 29 | | 31 | 20 | | 32 | 4 | | 33 | 22 | | 34 | 56 | | 35 | 16 | | 36 | 9 | | 37 | 33 | | 38 | 32 | | 39 | 9 | | 40 | 46 | | 41 | 54 | | 42 | 14 | | 43 | 36 | | 44 | 37 | | 45 | 17 |
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| 99.32% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 118 | | matches | | 0 | "been forced" | | 1 | "been seen" |
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| 42.52% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 254 | | matches | | 0 | "wasn't making" | | 1 | "was going" | | 2 | "was standing" | | 3 | "was seeing" | | 4 | "was cataloging" | | 5 | "was indeed concluding" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 19 | | semicolonCount | 0 | | flaggedSentences | 14 | | totalSentences | 137 | | ratio | 0.102 | | matches | | 0 | "She caught a glimpse of her target—male, six feet, black hoodie—ducking into the tube station across the road." | | 1 | "The platform was nearly empty—just a few late-night travelers waiting for the last train." | | 2 | "That's when she spotted it—a maintenance door at the far end of the platform, slightly ajar." | | 3 | "The air smelled of damp concrete and something else—something sweet and unfamiliar, like incense." | | 4 | "Quinn checked her watch—the worn leather band dark with rainwater—and noted the time." | | 5 | "The suspect had been seen three times near locations where people had disappeared—people whose cases had been hastily classified as runaways or suicides." | | 6 | "Each victim had been last seen near locations frequented by a group she'd been watching—a clique of people who seemed to move through London like ghosts, leaving barely a trace." | | 7 | "Ahead, the tunnel widened into what looked like an abandoned platform—one of London's ghost stations, closed decades ago and forgotten by most." | | 8 | "He pulled something from his pocket—small and white, glinting in the low light—and pressed it against a specific brick." | | 9 | "The sweet smell was stronger here, mingled with other scents—cooking food, exotic spices, and something acrid that made her eyes water." | | 10 | "People—if they were people—moved through the crowd in a kaleidoscope of shapes and sizes." | | 11 | "Her suspect—Rook, Herrera had called him—was now engaged in conversation with the proprietor of the fabric-draped stall." | | 12 | "And the wares they sold—bottles containing swirling mists, jewelry that seemed to change shape, creatures that resembled nothing she'd ever seen in any zoology textbook." | | 13 | "But one thing remained constant—her determination to find the truth." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1362 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 45 | | adverbRatio | 0.03303964757709251 | | lyAdverbCount | 20 | | lyAdverbRatio | 0.014684287812041116 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 137 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 137 | | mean | 11.71 | | std | 6.41 | | cv | 0.548 | | sampleLengths | | 0 | 15 | | 1 | 19 | | 2 | 14 | | 3 | 18 | | 4 | 11 | | 5 | 11 | | 6 | 16 | | 7 | 18 | | 8 | 16 | | 9 | 10 | | 10 | 15 | | 11 | 3 | | 12 | 7 | | 13 | 18 | | 14 | 23 | | 15 | 11 | | 16 | 8 | | 17 | 7 | | 18 | 16 | | 19 | 14 | | 20 | 5 | | 21 | 15 | | 22 | 1 | | 23 | 7 | | 24 | 10 | | 25 | 3 | | 26 | 16 | | 27 | 9 | | 28 | 12 | | 29 | 4 | | 30 | 18 | | 31 | 7 | | 32 | 10 | | 33 | 21 | | 34 | 13 | | 35 | 3 | | 36 | 5 | | 37 | 13 | | 38 | 12 | | 39 | 14 | | 40 | 11 | | 41 | 5 | | 42 | 8 | | 43 | 14 | | 44 | 10 | | 45 | 13 | | 46 | 7 | | 47 | 10 | | 48 | 9 | | 49 | 23 |
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| 59.37% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.38686131386861317 | | totalSentences | 137 | | uniqueOpeners | 53 | |
| 29.24% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 114 | | matches | | | ratio | 0.009 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 114 | | matches | | 0 | "she barked, shouldering past a" | | 1 | "She'd planned to wait him" | | 2 | "Her breath came in controlled" | | 3 | "She caught a glimpse of" | | 4 | "She scanned the platform methodically," | | 5 | "She wasn't making the same" | | 6 | "They'd found his body two" | | 7 | "She pushed the thought aside." | | 8 | "Her quarry's footsteps echoed ahead," | | 9 | "He thought he'd lost her." | | 10 | "She should wait, but instinct" | | 11 | "Her suspect had stopped at" | | 12 | "He pulled something from his" | | 13 | "Her training said wait." | | 14 | "She was standing on a" | | 15 | "He raised his hands placatingly," | | 16 | "he said, his accent a" | | 17 | "He nodded toward her concealed" | | 18 | "Her suspect—Rook, Herrera had called" | | 19 | "she said, her voice tight" |
| | ratio | 0.175 | |
| 69.65% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 89 | | totalSentences | 114 | | matches | | 0 | "Rain pummeled the streets of" | | 1 | "Quinn pushed her way through" | | 2 | "she barked, shouldering past a" | | 3 | "The green neon sign above" | | 4 | "Quinn had watched her suspect" | | 5 | "She'd planned to wait him" | | 6 | "Quinn's shoes slapped against the" | | 7 | "Her breath came in controlled" | | 8 | "The rain plastered her salt-and-pepper" | | 9 | "Focus was everything." | | 10 | "The alley opened onto a" | | 11 | "She caught a glimpse of" | | 12 | "Quinn swore under her breath" | | 13 | "The attendant pointed toward the" | | 14 | "Quinn took the stairs two" | | 15 | "The platform was nearly empty—just" | | 16 | "She scanned the platform methodically," | | 17 | "The hairs on the back" | | 18 | "Something wasn't right." | | 19 | "That's when she spotted it—a" |
| | ratio | 0.781 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 114 | | matches | | 0 | "Now he was on the" | | 1 | "Now that the initial shock" | | 2 | "Wherever it led." |
| | ratio | 0.026 | |
| 86.17% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 63 | | technicalSentenceCount | 5 | | matches | | 0 | "Each victim had been last seen near locations frequented by a group she'd been watching—a clique of people who seemed to move through London like ghosts, leavin…" | | 1 | "A man stood behind her, olive-skinned with warm brown eyes that crinkled at the corners when he smiled." | | 2 | "And the wares they sold—bottles containing swirling mists, jewelry that seemed to change shape, creatures that resembled nothing she'd ever seen in any zoology …" | | 3 | "Quinn glanced back at Rook, who was indeed concluding his business and turning toward the exit Herrera had indicated." | | 4 | "The rain-soaked world of London streets seemed impossibly distant now, as if she'd stepped through a door into another reality entirely." |
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| 17.86% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 3 | | matches | | 0 | "he said, his accent a musical blend of Spanish and London English" | | 1 | "Herrera smiled, but his eyes remained cautious" | | 2 | "she said, her voice tight with control" |
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| 89.39% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "she barked (bark)" | | 1 | "Herrera conceded (concede)" |
| | dialogueSentences | 33 | | tagDensity | 0.182 | | leniency | 0.364 | | rawRatio | 0.333 | | effectiveRatio | 0.121 | |