| 40.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 2 | | adverbTags | | 0 | "Just a lead from a snitch in a Soho betting shop who’d muttered [Just]" | | 1 | "she said flatly [flatly]" |
| | dialogueSentences | 25 | | tagDensity | 0.32 | | leniency | 0.64 | | rawRatio | 0.25 | | effectiveRatio | 0.16 | |
| 92.19% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1280 | | totalAiIsmAdverbs | 2 | | 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) | |
| 60.94% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1280 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "pulse" | | 1 | "etched" | | 2 | "flickered" | | 3 | "mechanical" | | 4 | "scanned" | | 5 | "gloom" | | 6 | "pulsed" | | 7 | "gleaming" | | 8 | "depths" |
| |
| 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 | 127 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 127 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 144 | | 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 | 15 | | markdownWords | 20 | | totalWords | 1259 | | ratio | 0.016 | | matches | | 0 | "him" | | 1 | "died" | | 2 | "unraveled" | | 3 | "smiled" | | 4 | "THE RAVEN’S NEST" | | 5 | "unauthorized surveillance" | | 6 | "Detective Quinn" | | 7 | "making" | | 8 | "click" | | 9 | "wrong" | | 10 | "you" | | 11 | "soul leases" | | 12 | "remember" | | 13 | "run" | | 14 | "me" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 1010 | | uniqueNames | 12 | | maxNameDensity | 0.69 | | worstName | "Quinn" | | maxWindowNameDensity | 1 | | worstWindowName | "Quinn" | | discoveredNames | | London | 1 | | Quinn | 7 | | Soho | 2 | | Morris | 4 | | Met | 1 | | Affairs | 1 | | Veil | 1 | | Market | 1 | | Tube | 1 | | Saint | 1 | | Christopher | 1 | | Herrera | 2 |
| | persons | | 0 | "Quinn" | | 1 | "Morris" | | 2 | "Met" | | 3 | "Affairs" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Herrera" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | 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 | 1259 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 144 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 22.89 | | std | 21.09 | | cv | 0.921 | | sampleLengths | | 0 | 81 | | 1 | 93 | | 2 | 44 | | 3 | 3 | | 4 | 48 | | 5 | 3 | | 6 | 63 | | 7 | 6 | | 8 | 3 | | 9 | 62 | | 10 | 5 | | 11 | 17 | | 12 | 4 | | 13 | 11 | | 14 | 10 | | 15 | 16 | | 16 | 21 | | 17 | 33 | | 18 | 23 | | 19 | 6 | | 20 | 12 | | 21 | 28 | | 22 | 3 | | 23 | 54 | | 24 | 2 | | 25 | 13 | | 26 | 24 | | 27 | 29 | | 28 | 3 | | 29 | 38 | | 30 | 15 | | 31 | 35 | | 32 | 12 | | 33 | 3 | | 34 | 47 | | 35 | 66 | | 36 | 4 | | 37 | 36 | | 38 | 15 | | 39 | 28 | | 40 | 17 | | 41 | 16 | | 42 | 10 | | 43 | 3 | | 44 | 21 | | 45 | 3 | | 46 | 33 | | 47 | 36 | | 48 | 16 | | 49 | 35 |
| |
| 99.74% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 127 | | matches | | 0 | "been allowed" | | 1 | "was obscured" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 178 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 21 | | semicolonCount | 0 | | flaggedSentences | 15 | | totalSentences | 144 | | ratio | 0.104 | | matches | | 0 | "The man ahead—hood up, face shadowed—ducked left, vanished down a narrow passage between two boarded-up shops in Soho." | | 1 | "Her watch—a battered leather strap snug against her wrist—read 2:17 a.m." | | 2 | "But Morris hadn’t just *died*—he’d *unraveled*, his body found twisted in on itself like a broken clock spring, skin etched with symbols that vanished under UV light." | | 3 | "The suspect—a wiry figure with a limp on his left leg—slid around a corner, boots splashing through puddles." | | 4 | "Her hand hovered at her hip, where her service weapon would be—if she’d been allowed to carry it tonight." | | 5 | "The bar was warm, thick with the scent of old leather, whiskey, and something sharper—ozone, maybe, or burnt sage." | | 6 | "A single bartender—bald, scarred brow, wiping a glass with mechanical precision—glanced at her, then away." | | 7 | "She’d seen its kind before—on the floor of Morris’s flat, the morning they found him." | | 8 | "Then she felt it—the slight misalignment of one shelf, the faint hum in the air, like a refrigerator running in the next room." | | 9 | "Below—faint laughter, low chanting, the clink of glass, and something else—music, but not music as she knew it." | | 10 | "After thirty steps, the walls changed—rough-hewn stone, damp with mildew, lit at intervals by flickering sconces that burned with a pale blue flame." | | 11 | "At the bottom, the passage opened into a cavernous space—once a Tube platform, abandoned decades ago, now transformed." | | 12 | "A young man stood beside her—olive skin, curly dark hair slick with rain, a silver medallion gleaming at his throat: Saint Christopher." | | 13 | "“Tomás Herrera,” she said, recognizing him from a sealed psychiatric file—former NHS paramedic, dismissed for treating “non-human patients.” “You’re banned from practicing medicine. What are you doing here?”" | | 14 | "One stall displayed eyes—real, floating in amber fluid." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1034 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.031914893617021274 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.006769825918762089 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 144 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 144 | | mean | 8.74 | | std | 6.83 | | cv | 0.781 | | sampleLengths | | 0 | 9 | | 1 | 29 | | 2 | 18 | | 3 | 6 | | 4 | 14 | | 5 | 2 | | 6 | 3 | | 7 | 11 | | 8 | 15 | | 9 | 6 | | 10 | 5 | | 11 | 27 | | 12 | 5 | | 13 | 1 | | 14 | 23 | | 15 | 18 | | 16 | 12 | | 17 | 5 | | 18 | 5 | | 19 | 4 | | 20 | 3 | | 21 | 19 | | 22 | 6 | | 23 | 12 | | 24 | 7 | | 25 | 4 | | 26 | 3 | | 27 | 2 | | 28 | 19 | | 29 | 2 | | 30 | 6 | | 31 | 1 | | 32 | 1 | | 33 | 6 | | 34 | 2 | | 35 | 2 | | 36 | 22 | | 37 | 6 | | 38 | 3 | | 39 | 19 | | 40 | 17 | | 41 | 11 | | 42 | 15 | | 43 | 5 | | 44 | 4 | | 45 | 2 | | 46 | 8 | | 47 | 3 | | 48 | 4 | | 49 | 4 |
| |
| 68.29% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.4513888888888889 | | totalSentences | 144 | | uniqueOpeners | 65 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 8 | | totalSentences | 108 | | matches | | 0 | "Unofficially, it had sent her" | | 1 | "Then the bastard *smiled*." | | 2 | "Just a lead from a" | | 3 | "Then, slowly, he reached under" | | 4 | "Then she felt it—the slight" | | 5 | "Then she descended." | | 6 | "Then nodded slowly." | | 7 | "Then she stepped forward." |
| | ratio | 0.074 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 108 | | matches | | 0 | "Her boots skidded on wet" | | 1 | "Her watch—a battered leather strap" | | 2 | "She didn’t care about belief" | | 3 | "She saw him glance back." | | 4 | "She pushed harder." | | 5 | "They exploded into a small" | | 6 | "He vanished inside." | | 7 | "Her hand hovered at her" | | 8 | "She’d come here off the" | | 9 | "She stepped inside." | | 10 | "She approached the bar." | | 11 | "she said flatly" | | 12 | "She stepped closer, close enough" | | 13 | "She picked it up." | | 14 | "She’d seen its kind before—on" | | 15 | "Her pulse thudded." | | 16 | "She ran her fingers along" | | 17 | "She’d heard rumors." | | 18 | "She’d dismissed it as urban" | | 19 | "She’d be on her own" |
| | ratio | 0.269 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 108 | | matches | | 0 | "Rain lashed London like it" | | 1 | "Harlow Quinn’s trench coat snapped" | | 2 | "The man ahead—hood up, face" | | 3 | "Her boots skidded on wet" | | 4 | "A trash can clattered to" | | 5 | "Her watch—a battered leather strap" | | 6 | "She didn’t care about belief" | | 7 | "Belief didn’t bring Morris back." | | 8 | "That case had gone cold." | | 9 | "The suspect—a wiry figure with" | | 10 | "Quinn followed, shoulder checking a" | | 11 | "She saw him glance back." | | 12 | "Recognition flashed in his eyes." | | 13 | "She pushed harder." | | 14 | "They exploded into a small" | | 15 | "Rain drummed on rusted scaffolding" | | 16 | "A green neon sign flickered" | | 17 | "The sign buzzed like a" | | 18 | "The door stood ajar." | | 19 | "He vanished inside." |
| | ratio | 0.676 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 108 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 2 | | matches | | 0 | "But Morris hadn’t just *died*—he’d *unraveled*, his body found twisted in on itself like a broken clock spring, skin etched with symbols that vanished under UV …" | | 1 | "After thirty steps, the walls changed—rough-hewn stone, damp with mildew, lit at intervals by flickering sconces that burned with a pale blue flame." |
| |
| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 1 | | matches | | |
| 70.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "Just a lead from a snitch in a Soho betting shop who’d muttered (had mutter)" | | 1 | "someone whispered (whisper)" |
| | dialogueSentences | 25 | | tagDensity | 0.28 | | leniency | 0.56 | | rawRatio | 0.286 | | effectiveRatio | 0.16 | |