| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 31 | | tagDensity | 0.387 | | leniency | 0.774 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.19% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1313 | | totalAiIsmAdverbs | 1 | | 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) | |
| 16.22% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1313 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "echoed" | | 1 | "unspoken" | | 2 | "flicker" | | 3 | "intensity" | | 4 | "pulse" | | 5 | "stomach" | | 6 | "electric" | | 7 | "reminder" | | 8 | "scanned" | | 9 | "velvet" | | 10 | "weight" | | 11 | "silence" | | 12 | "otherworldly" | | 13 | "scripted" | | 14 | "echo" | | 15 | "unravel" | | 16 | "tracing" | | 17 | "resolve" | | 18 | "footsteps" | | 19 | "shattered" | | 20 | "silk" |
| |
| 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 | 90 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 90 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 109 | | 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 | 2 | | markdownWords | 28 | | totalWords | 1291 | | ratio | 0.022 | | matches | | 0 | "Stay out of my world, Rory. It devours the curious." | | 1 | "Aurora Carter, bearer of the key's echo. Join us at the Veiled Auction, or watch your threads unravel." |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 1065 | | uniqueNames | 20 | | maxNameDensity | 0.75 | | worstName | "Eva" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Eva" | | discoveredNames | | Moreau | 1 | | Eva | 8 | | Marseille | 1 | | Strand | 1 | | Rory | 3 | | Attraction | 2 | | Quick | 1 | | Cardiff | 2 | | Evan | 1 | | Brick | 1 | | Lane | 1 | | Ptolemy | 4 | | Soho | 1 | | Chinatown | 1 | | Carter | 1 | | Veiled | 1 | | Auction | 1 | | Docklands | 1 | | One | 2 | | Lucien | 4 |
| | persons | | 0 | "Moreau" | | 1 | "Eva" | | 2 | "Rory" | | 3 | "Attraction" | | 4 | "Evan" | | 5 | "Ptolemy" | | 6 | "Carter" | | 7 | "One" | | 8 | "Lucien" |
| | places | | 0 | "Marseille" | | 1 | "Cardiff" | | 2 | "Brick" | | 3 | "Lane" | | 4 | "Soho" | | 5 | "Chinatown" | | 6 | "Veiled" | | 7 | "Docklands" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 75 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 45.08% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.549 | | wordCount | 1291 | | matches | | 0 | "Not a threat, but a reminder" | | 1 | "not hard, but enough to reclaim space" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 109 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 44.52 | | std | 23.4 | | cv | 0.526 | | sampleLengths | | 0 | 81 | | 1 | 32 | | 2 | 16 | | 3 | 40 | | 4 | 52 | | 5 | 20 | | 6 | 122 | | 7 | 34 | | 8 | 40 | | 9 | 31 | | 10 | 32 | | 11 | 55 | | 12 | 41 | | 13 | 45 | | 14 | 57 | | 15 | 45 | | 16 | 34 | | 17 | 89 | | 18 | 47 | | 19 | 51 | | 20 | 36 | | 21 | 48 | | 22 | 60 | | 23 | 66 | | 24 | 13 | | 25 | 16 | | 26 | 49 | | 27 | 11 | | 28 | 28 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 90 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 185 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 109 | | ratio | 0.092 | | matches | | 0 | "Hurt followed when he'd ghosted, leaving her to dodge the fallout alone—whispers in the underworld that she'd crossed him." | | 1 | "She scanned the hallway behind him—empty, save for the distant hum of Brick Lane traffic." | | 2 | "Avaros—the demon realm, his father's domain." | | 3 | "The space shrank with his presence—tailored charcoal suit brushing against a teetering stack of Eva's notes." | | 4 | "She followed, blocking his path to the bedroom door where Eva's latest research sprawled across the bed—diagrams of infernal gates, scribbled in her looping script." | | 5 | "His hand lifted, hovering near her arm, as if to steady her—or himself." | | 6 | "A location—some warehouse in the Docklands." | | 7 | "The name hit like a slap—her ex, the bruises hidden under long sleeves back in Cardiff." | | 8 | "His lips brushed hers—tentative at first, then claiming, a kiss that tasted of smoke and forbidden promises." | | 9 | "Ptolemy yowled, leaping down as footsteps thumped from the stairs outside—Eva, keys jangling." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1087 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.02483900643974241 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0036798528058877645 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 109 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 109 | | mean | 11.84 | | std | 6.84 | | cv | 0.577 | | sampleLengths | | 0 | 16 | | 1 | 24 | | 2 | 23 | | 3 | 18 | | 4 | 6 | | 5 | 26 | | 6 | 9 | | 7 | 2 | | 8 | 5 | | 9 | 15 | | 10 | 17 | | 11 | 6 | | 12 | 2 | | 13 | 20 | | 14 | 25 | | 15 | 7 | | 16 | 14 | | 17 | 6 | | 18 | 14 | | 19 | 26 | | 20 | 12 | | 21 | 12 | | 22 | 27 | | 23 | 19 | | 24 | 12 | | 25 | 15 | | 26 | 12 | | 27 | 7 | | 28 | 15 | | 29 | 17 | | 30 | 6 | | 31 | 2 | | 32 | 15 | | 33 | 2 | | 34 | 4 | | 35 | 10 | | 36 | 9 | | 37 | 9 | | 38 | 14 | | 39 | 3 | | 40 | 6 | | 41 | 16 | | 42 | 15 | | 43 | 14 | | 44 | 1 | | 45 | 9 | | 46 | 18 | | 47 | 14 | | 48 | 4 | | 49 | 12 |
| |
| 74.62% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.45871559633027525 | | totalSentences | 109 | | uniqueOpeners | 50 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 84 | | matches | (empty) | | ratio | 0 | |
| 34.29% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 84 | | matches | | 0 | "She gripped the doorjamb, knuckles" | | 1 | "Her voice came out flat," | | 2 | "He leaned on his ivory-handled" | | 3 | "He didn't move to step" | | 4 | "She crossed her arms, the" | | 5 | "Her stomach twisted, but she" | | 6 | "She'd delivered the tip to" | | 7 | "It devours the curious.* Attraction" | | 8 | "She kept her tone even," | | 9 | "It would get her through" | | 10 | "He tilted his head, studying" | | 11 | "She scanned the hallway behind" | | 12 | "He stepped forward then, testing" | | 13 | "Her breath caught." | | 14 | "She'd pieced that together from" | | 15 | "His voice dropped, coiling around" | | 16 | "He glanced past her into" | | 17 | "She'd chalked it up to" | | 18 | "He eased inside now, the" | | 19 | "He didn't sit, just paced" |
| | ratio | 0.464 | |
| 61.19% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 84 | | matches | | 0 | "Rory twisted the third deadbolt" | | 1 | "The door swung open on" | | 2 | "Lucien Moreau, platinum hair slicked" | | 3 | "She gripped the doorjamb, knuckles" | | 4 | "Ptolemy, Eva's tabby, slunk between" | | 5 | "Her voice came out flat," | | 6 | "He leaned on his ivory-handled" | | 7 | "He didn't move to step" | | 8 | "She crossed her arms, the" | | 9 | "The air between them carried" | | 10 | "A ghost of a smile" | | 11 | "Her stomach twisted, but she" | | 12 | "She'd delivered the tip to" | | 13 | "It devours the curious.* Attraction" | | 14 | "Things left unsaid piled like" | | 15 | "She kept her tone even," | | 16 | "It would get her through" | | 17 | "He tilted his head, studying" | | 18 | "The cane shifted, revealing the" | | 19 | "She scanned the hallway behind" |
| | ratio | 0.798 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 84 | | matches | (empty) | | ratio | 0 | |
| 65.22% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 5 | | matches | | 0 | "He tilted his head, studying her as if she were one of his encrypted files." | | 1 | "His hand lifted, hovering near her arm, as if to steady her—or himself." | | 2 | "His lips brushed hers—tentative at first, then claiming, a kiss that tasted of smoke and forbidden promises." | | 3 | "She kissed back, hands fisting his lapels, pulling him against the book-strewn table." | | 4 | "His fingers threaded her hair, tilting her head, deepening the heat until the room spun." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 4 | | matches | | 0 | "He leaned, the tip tapping once against the worn floorboards" | | 1 | "He eased, the door clicking shut behind him without her permission" | | 2 | "He stepped, voice softening to a rumble" | | 3 | "He nipped, eyes blazing" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |