| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 25 | | tagDensity | 0.44 | | leniency | 0.88 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 75.12% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 804 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slowly" | | 1 | "slightly" | | 2 | "carefully" | | 3 | "softly" |
| |
| 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) | |
| 44.03% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 804 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "flicker" | | 1 | "chill" | | 2 | "scanning" | | 3 | "tinged" | | 4 | "tracing" | | 5 | "almost alive" | | 6 | "echo" | | 7 | "glinting" | | 8 | "silence" |
| |
| 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 | 50 | | matches | (empty) | |
| 85.71% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 50 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 61 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 795 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 57.09% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 592 | | uniqueNames | 8 | | maxNameDensity | 1.86 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Harlow" | | discoveredNames | | Camden | 1 | | Harlow | 11 | | Quinn | 1 | | Kowalski | 1 | | Eva | 9 | | Veil | 2 | | Compass | 1 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Kowalski" | | 3 | "Eva" | | 4 | "Compass" | | 5 | "Market" |
| | places | (empty) | | globalScore | 0.571 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | 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 | 795 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 61 | | matches | (empty) | |
| 44.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 15 | | mean | 53 | | std | 16.11 | | cv | 0.304 | | sampleLengths | | 0 | 90 | | 1 | 60 | | 2 | 78 | | 3 | 52 | | 4 | 55 | | 5 | 57 | | 6 | 51 | | 7 | 64 | | 8 | 43 | | 9 | 44 | | 10 | 58 | | 11 | 50 | | 12 | 33 | | 13 | 34 | | 14 | 26 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 50 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 109 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 1 | | flaggedSentences | 6 | | totalSentences | 61 | | ratio | 0.098 | | matches | | 0 | "She checks the bone token tucked into her pocket—its smooth edge a silent promise—and exhales slowly, eyes scanning the cracked tiles where the body lies sprawled." | | 1 | "A distant echo answers—a footstep, too deliberate to be coincidence." | | 2 | "Harlow kneels, brushing away debris to reveal a sigil carved into the stone—a circle bisected by a jagged line." | | 3 | "\"Life consuming itself. This isn’t just a crime scene; it’s a ritual.\"" | | 4 | "Its needle spins wildly before settling on a direction—a staircase descending into pitch black." | | 5 | "Somewhere below, the Veil Market waits—its bone tokens clinking like teeth in the dark." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 602 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.03820598006644518 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.013289036544850499 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 61 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 61 | | mean | 13.03 | | std | 7.14 | | cv | 0.548 | | sampleLengths | | 0 | 21 | | 1 | 25 | | 2 | 18 | | 3 | 26 | | 4 | 21 | | 5 | 18 | | 6 | 12 | | 7 | 9 | | 8 | 9 | | 9 | 20 | | 10 | 12 | | 11 | 3 | | 12 | 11 | | 13 | 23 | | 14 | 8 | | 15 | 6 | | 16 | 8 | | 17 | 16 | | 18 | 14 | | 19 | 12 | | 20 | 33 | | 21 | 10 | | 22 | 10 | | 23 | 3 | | 24 | 17 | | 25 | 20 | | 26 | 4 | | 27 | 3 | | 28 | 8 | | 29 | 18 | | 30 | 14 | | 31 | 11 | | 32 | 13 | | 33 | 15 | | 34 | 19 | | 35 | 5 | | 36 | 12 | | 37 | 3 | | 38 | 24 | | 39 | 16 | | 40 | 3 | | 41 | 10 | | 42 | 12 | | 43 | 14 | | 44 | 5 | | 45 | 12 | | 46 | 31 | | 47 | 15 | | 48 | 12 | | 49 | 7 |
| |
| 77.60% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.47540983606557374 | | totalSentences | 61 | | uniqueOpeners | 29 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 48 | | matches | | 0 | "Somewhere deeper in the tunnels," | | 1 | "Somewhere below, the Veil Market" |
| | ratio | 0.042 | |
| 61.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 48 | | matches | | 0 | "She checks the bone token" | | 1 | "Her green eyes dart between" | | 2 | "she murmurs, voice low enough" | | 3 | "It’s open, revealing a miniature" | | 4 | "she says, pulling a notebook" | | 5 | "Her gaze lifts to the" | | 6 | "She pulls a crumpled map" | | 7 | "She reaches for the Veil" | | 8 | "she says, standing" | | 9 | "They descend into darkness, hands" | | 10 | "She gestures to the feather," | | 11 | "she says, snapping photos with" | | 12 | "Her eyes flick to Eva’s" | | 13 | "They circle the circle, noting" | | 14 | "Its needle spins wildly before" | | 15 | "she says, voice steady despite" | | 16 | "She trails off, remembering the" | | 17 | "She pauses, thinking of the" | | 18 | "They descend, shadows swallowing their" |
| | ratio | 0.396 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 45 | | totalSentences | 48 | | matches | | 0 | "Rain slicks the platform like" | | 1 | "Detective Harlow Quinn stands at" | | 2 | "The air smells of rust" | | 3 | "She checks the bone token" | | 4 | "Eva Kowalski kneels beside the" | | 5 | "Her green eyes dart between" | | 6 | "she murmurs, voice low enough" | | 7 | "Harlow nods, boots crunching over" | | 8 | "The victim’s face is pale," | | 9 | "It’s open, revealing a miniature" | | 10 | "Eva’s breath hitches." | | 11 | "she says, pulling a notebook" | | 12 | "Harlow crouches, gloved fingers tracing" | | 13 | "The metal is warm, almost" | | 14 | "Her gaze lifts to the" | | 15 | "Eva traces a finger over" | | 16 | "She pulls a crumpled map" | | 17 | "A distant echo answers—a footstep," | | 18 | "Harlow’s jaw tightens." | | 19 | "She reaches for the Veil" |
| | ratio | 0.938 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 48 | | matches | (empty) | | ratio | 0 | |
| 28.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 4 | | matches | | 0 | "The air smells of rust and damp stone, a scent that clings to her coat like a memory." | | 1 | "The victim’s face is pale, lips blue-tinged, but it’s the small silver locket at his throat that catches her attention." | | 2 | "She reaches for the Veil Compass hanging at her hip, its brass casing cool against her palm." | | 3 | "The air grows colder, carrying whispers that sound like half-remembered names." |
| |
| 34.09% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 2 | | matches | | 0 | "she murmurs, voice low enough that only Harlow hears" | | 1 | "she says, voice steady despite the cold creeping up her spine" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 4 | | fancyTags | | 0 | "she murmurs (murmur)" | | 1 | "she mutters (mutter)" | | 2 | "she breathes (breathe)" | | 3 | "a fingertip whispering (a fingertip whispering)" |
| | dialogueSentences | 25 | | tagDensity | 0.32 | | leniency | 0.64 | | rawRatio | 0.5 | | effectiveRatio | 0.32 | |