| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 24 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.69% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1511 | | 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) | |
| 50.36% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1511 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "pulse" | | 1 | "scanning" | | 2 | "stomach" | | 3 | "footsteps" | | 4 | "echoing" | | 5 | "silence" | | 6 | "etched" | | 7 | "intricate" | | 8 | "glint" | | 9 | "could feel" | | 10 | "weight" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
| | 1 | | label | "stomach dropped/sank" | | count | 1 |
|
| | highlights | | 0 | "blood ran cold" | | 1 | "stomach dropped" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 135 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 135 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 151 | | 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 | 12 | | markdownWords | 26 | | totalWords | 1497 | | ratio | 0.017 | | matches | | 0 | "The Raven’s Nest" | | 1 | "hunting" | | 2 | "wrong" | | 3 | "other" | | 4 | "moved" | | 5 | "No. Not down there." | | 6 | "were" | | 7 | "What the hell is this place?" | | 8 | "prepared" | | 9 | "Drugs. Or worse." | | 10 | "The Raven’s Nest" | | 11 | "wrong" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 61.76% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 57 | | wordCount | 1360 | | uniqueNames | 12 | | maxNameDensity | 1.76 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 24 | | Tomás | 1 | | Herrera | 17 | | Saint | 1 | | Christopher | 1 | | Raven | 2 | | Morris | 2 | | Spanish | 1 | | Tube | 2 | | Silas | 4 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Tomás" | | 3 | "Herrera" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Raven" | | 7 | "Morris" | | 8 | "Silas" |
| | places | | | globalScore | 0.618 | | windowScore | 0.667 | |
| 18.42% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 95 | | glossingSentenceCount | 5 | | matches | | 0 | "quite sound" | | 1 | "looked like black moss" | | 2 | "smelled like burnt sugar and something sha" | | 3 | "quite human" | | 4 | "looked like bones into intricate patterns" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1497 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 151 | | matches | | 0 | "moved* that night" | | 1 | "knew that voice" |
| |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 32.54 | | std | 26.94 | | cv | 0.828 | | sampleLengths | | 0 | 70 | | 1 | 84 | | 2 | 59 | | 3 | 38 | | 4 | 107 | | 5 | 19 | | 6 | 77 | | 7 | 7 | | 8 | 69 | | 9 | 16 | | 10 | 39 | | 11 | 29 | | 12 | 17 | | 13 | 28 | | 14 | 77 | | 15 | 51 | | 16 | 17 | | 17 | 97 | | 18 | 12 | | 19 | 53 | | 20 | 27 | | 21 | 10 | | 22 | 7 | | 23 | 7 | | 24 | 71 | | 25 | 6 | | 26 | 41 | | 27 | 5 | | 28 | 15 | | 29 | 21 | | 30 | 17 | | 31 | 9 | | 32 | 57 | | 33 | 19 | | 34 | 14 | | 35 | 1 | | 36 | 26 | | 37 | 7 | | 38 | 31 | | 39 | 12 | | 40 | 38 | | 41 | 31 | | 42 | 14 | | 43 | 21 | | 44 | 19 | | 45 | 5 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 135 | | matches | | 0 | "was crouched" | | 1 | "was abandoned" |
| |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 13 | | totalVerbs | 246 | | matches | | 0 | "wasn’t losing" | | 1 | "wasn’t just running" | | 2 | "was *hunting" | | 3 | "was trying" | | 4 | "wasn’t climbing" | | 5 | "was doing" | | 6 | "was already moving" | | 7 | "was starting" | | 8 | "wasn’t turning" | | 9 | "was heading" | | 10 | "was arranging" | | 11 | "wasn’t backing" | | 12 | "wasn’t turning" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 151 | | ratio | 0.066 | | matches | | 0 | "The suspect—tall, lean, moving with the kind of liquid grace that set her teeth on edge—had a twenty-meter lead, but she wasn’t losing him." | | 1 | "The suspect—Herrera—paused at the mouth of an alley, his breath fogging in the cold air." | | 2 | "The way his head swiveled, the way his fingers flexed at his sides—it wasn’t fear." | | 3 | "The memory hit her like a punch to the gut—Morris, his face pale under the flickering fluorescent lights of the morgue, his skin too still, too *wrong*." | | 4 | "And then there had been the *other* thing—the thing she didn’t talk about, not even to herself." | | 5 | "But the way Herrera was moving—like he knew exactly what he was doing—made her skin prickle." | | 6 | "Then he laughed—a low, humorless sound—and twisted the manhole cover free." | | 7 | "And the people—if they *were* people." | | 8 | "A figure stepped into her path—a woman with skin like polished obsidian and eyes that gleamed like polished silver." | | 9 | "Herrera’s expression twisted—anger, fear, something else she couldn’t name." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1381 | | adjectiveStacks | 1 | | stackExamples | | 0 | "suspect—tall, lean, moving" |
| | adverbCount | 40 | | adverbRatio | 0.02896451846488052 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.002896451846488052 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 151 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 151 | | mean | 9.91 | | std | 6.67 | | cv | 0.672 | | sampleLengths | | 0 | 16 | | 1 | 5 | | 2 | 23 | | 3 | 24 | | 4 | 2 | | 5 | 8 | | 6 | 34 | | 7 | 17 | | 8 | 6 | | 9 | 19 | | 10 | 16 | | 11 | 15 | | 12 | 4 | | 13 | 4 | | 14 | 2 | | 15 | 15 | | 16 | 3 | | 17 | 8 | | 18 | 10 | | 19 | 6 | | 20 | 6 | | 21 | 8 | | 22 | 27 | | 23 | 9 | | 24 | 34 | | 25 | 17 | | 26 | 8 | | 27 | 12 | | 28 | 15 | | 29 | 4 | | 30 | 7 | | 31 | 16 | | 32 | 18 | | 33 | 11 | | 34 | 12 | | 35 | 13 | | 36 | 3 | | 37 | 1 | | 38 | 3 | | 39 | 4 | | 40 | 16 | | 41 | 16 | | 42 | 17 | | 43 | 16 | | 44 | 10 | | 45 | 6 | | 46 | 7 | | 47 | 8 | | 48 | 11 | | 49 | 13 |
| |
| 42.05% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.2781456953642384 | | totalSentences | 151 | | uniqueOpeners | 42 | |
| 80.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 125 | | matches | | 0 | "Then he laughed—a low, humorless" | | 1 | "Then, just as she was" | | 2 | "Then, slowly, he smiled." |
| | ratio | 0.024 | |
| 95.20% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 125 | | matches | | 0 | "Her boots splashed through puddles," | | 1 | "She’d been tailing Tomás Herrera" | | 2 | "He’d bolted from *The Raven’s" | | 3 | "She ducked under the awning" | | 4 | "He wasn’t just running." | | 5 | "He was *hunting* something." | | 6 | "It was calculation." | | 7 | "She’d been a detective long" | | 8 | "He was part of something" | | 9 | "She shook her head, forcing" | | 10 | "She moved quietly, her breath" | | 11 | "He was crouched beside a" | | 12 | "She’d heard the rumors." | | 13 | "She’d written it off as" | | 14 | "Her voice cut through the" | | 15 | "He froze, his back still" | | 16 | "he called over his shoulder," | | 17 | "It was older." | | 18 | "He dropped into the hole," | | 19 | "She holstered her baton, pulled" |
| | ratio | 0.312 | |
| 48.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 103 | | totalSentences | 125 | | matches | | 0 | "The rain fell in sheets," | | 1 | "Detective Harlow Quinn didn’t slow." | | 2 | "Her boots splashed through puddles," | | 3 | "The suspect—tall, lean, moving with" | | 4 | "She’d been tailing Tomás Herrera" | | 5 | "He’d bolted from *The Raven’s" | | 6 | "She ducked under the awning" | | 7 | "The suspect—Herrera—paused at the mouth" | | 8 | "He wasn’t just running." | | 9 | "He was *hunting* something." | | 10 | "The way his head swiveled," | | 11 | "It was calculation." | | 12 | "Quinn exhaled through her nose," | | 13 | "She’d been a detective long" | | 14 | "Herrera wasn’t just some two-bit" | | 15 | "He was part of something" | | 16 | "Something that had cost her" | | 17 | "The memory hit her like" | | 18 | "The coroner’s report had called" | | 19 | "The way the shadows had" |
| | ratio | 0.824 | |
| 40.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 125 | | matches | | | ratio | 0.008 | |
| 72.60% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 61 | | technicalSentenceCount | 6 | | matches | | 0 | "The suspect—tall, lean, moving with the kind of liquid grace that set her teeth on edge—had a twenty-meter lead, but she wasn’t losing him." | | 1 | "She’d written it off as cop lore, the kind of stories that kept rookies up at night." | | 2 | "This one was abandoned, the tiles cracked and peeling, the tracks rusted and overgrown with something that looked like black moss." | | 3 | "Herrera was already moving, his footsteps echoing ahead of her." | | 4 | "Quinn skidded to a stop, her torch beam flickering over a scene that made her breath catch." | | 5 | "Weapons that hummed with energy, their blades etched with symbols that made her eyes ache." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 4 | | matches | | 0 | "She twisted, her other hand reaching for her cuffs" | | 1 | "the man said, his voice smooth, amused" | | 2 | "He took, his boots clicking against the platform" | | 3 | "she said, her voice steady" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 24 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0.25 | | effectiveRatio | 0.083 | |